Data pipeline is a generic term for moving data from one place to another. For example, it could be moving data from one server to another server.
An ETL pipeline is a specific kind of data pipeline and very common. ETL stands for Extract, Transform, Load. Imagine that you have a database containing web log data. Each entry contains the IP address of a user, a timestamp, and the link that the user clicked.
What if your company wanted to run an analysis of links clicked by city and by day? You would need another data set that maps IP address to a city, and you would also need to extract the day from the timestamp. With an ETL pipeline, you could run code once per day that would extract the previous day's log data, map IP address to city, aggregate link clicks by city, and then load these results into a new database. That way, a data analyst or scientist would have access to a table of log data by city and day. That is more convenient than always having to run the same complex data transformations on the raw web log data.
Before cloud computing, businesses stored their data on large, expensive, private servers. Running queries on large data sets, like raw web log data, could be expensive both economically and in terms of time. But data analysts might need to query a database multiple times even in the same day; hence, pre-aggregating the data with an ETL pipeline makes sense.
ELT (extract, load, transform) pipelines have gained traction since the advent of cloud computing. Cloud computing has lowered the cost of storing data and running queries on large, raw data sets. Many of these cloud services, like Amazon Redshift, Google BigQuery, or IBM Db2 can be queried using SQL or a SQL-like language. With these tools, the data gets extracted, then loaded directly, and finally transformed at the end of the pipeline.
However, ETL pipelines are still used even with these cloud tools. Oftentimes, it still makes sense to run ETL pipelines and store data in a more readable or intuitive format. This can help data analysts and scientists work more efficiently as well as help an organization become more data driven.
Extract data from different sources such as:
Transform data
Load
ETL Pipeline
This lesson contains many Jupyter notebook exercises where you can practice the different parts of an ETL pipeline. Some of the exercises are challenging, but they also contain hints to help you get through them. You'll notice that the "transformation" section is relatively long. You'll oftentimes hear data scientists say that cleaning and transforming data is how they spend a majority of their time. This lesson reflects that reality.
In the next section, you'll find a series of exercises. These are relatively brief and focus on extracting, or in other words, reading in data from different sources. The goal is to familiarize yourself with different types of files and see how the same data can be formatted in different ways. This lesson assumes you have experience with pandas and basic programming skills.
This lesson uses data from the World Bank. The data comes from two sources:
This course assumes you have experience manipulating data with the Pandas library, which is covered in the data analyst nanodegree. Some of these transformation exercises are challenging. The most challenging exercises are marked (challenging). If an exercise is marked as a challenge, it means you’ll get something out of solving it, but it’s not essential for understanding the lesson material or for getting through the final project at the end of this data engineering course.
Throughout the exercises, you might have to read the pandas documentation or search outside the classroom for how to do a certain processing technique. That is not just expected but also encouraged. As a data scientist professional, you will oftentimes have to research how to do something on your own much like what software engineers do. See this answer on Quora about how often do people use stackoverflow when working on data science projects?.
Use Google and other search engines when you're not sure how to do something!
In the next section of the lesson, you'll learn about the extract portion of an ETL pipeline. You’ll get practice with a series of exercises. These exercises are relatively brief and focus on extracting, or in other words, reading in data from different sources. The goal is to familiarize yourself with different types of files and see how the same data can be formatted in different ways.
For a review of pandas, click on the "Extracurricular" section of the classroom. Open the Prerequisite: Python for Data Analysis course, and go to Lesson 7: Pandas.
CSV stands for comma-separated values. These types of files separate values with a comma, and each entry is on a separate line. Oftentimes, the first entry will contain variable names. Here is an example of what CSV data looks like. This is an abbreviated version of the first three lines in the World Bank projects data csv file.
JSON is a file format with key/value pairs. It looks like a Python dictionary. The exact same CSV file represented in JSON could look like this:
Another data format is called XML (Extensible Markup Language). XML is very similar to HTML at least in terms of formatting. The main difference between the two is that HTML has pre-defined tags that are standardized. In XML, tags can be tailored to the data set. Here is what this same data would look like as XML. XML is falling out of favor especially because JSON tends to be easier to navigate; however, you still might come across XML data. The World Bank API, for example, can return either XML data or JSON data. From a data perspective, the process for handling HTML and XML data is essentially the same.
SQL databases store data in tables using primary and foreign keys. In a SQL database, the same data would look like this:
This course won't go into much detail about text data. There are other Udacity courses, namely on natural language processing, that go into the details of processing text for machine learning.
In this lesson, you'll see how to extract data from the web using an APIs (Application Programming Interface). APIs generally provide data in either JSON or XML format.
Companies and organizations provide APIs so that programmers can access data in an official, safe way. APIs allow you to download, and sometimes even upload or modify, data from a web server without giving you direct access.
The main goal of this ETL pipelines lesson is to take the World Bank Project data set and merge this data with the World Bank indicator data. Then you'll load the merged data into a database.
In the process, you'll need to transform these data sets in different ways. And finally, you'll code an ETL pipeline to extract, transform, and load the data all in one step.
The first step in an ETL pipeline is extraction. Data comes in all types of different formats, and you'll practice extracting data from csv files, JSON files, XML files, SQL databases, and the web.
In this first exercise, you'll practice extracting data from a CSV file and then navigating through the results. You'll see that extracting data is not always a straight-forward process.
This exercise contains a series of coding questions for you to solve. If you get stuck, there is a solution file called 1_csv_exercise_solution.ipynb. You can find this solution file by going to File->Open and then clicking on the file name.
You'll be using the following csv files:
As a first step, try importing the projects data using the pandas read_csv method. The file path is just '../data/projects_data.csv'. You can see the file if you click on File->Open in the workspace and open the data folder.
# TODO: import the projects_data.csv file using the pandas library
# Store the results in the df_projects variable
import pandas as pd
df_projects = pd.read_csv('projects_data.csv')
/Users/xuhao3/opt/anaconda3/lib/python3.7/site-packages/IPython/core/interactiveshell.py:3063: DtypeWarning: Columns (44) have mixed types.Specify dtype option on import or set low_memory=False. interactivity=interactivity, compiler=compiler, result=result)
Did you get a DType warning? Read about what this warning is in the pandas documentation.
Pandas tries to figure out programatically the data type of each column (integer, float, boolean, string). In this case, pandas could not automatically figure out the data type. That is because some columns have more than one possible data types. In other words, this data is messy.
You can use the dtype option to specify the data type of each column. Because there are so many columns in this data set, you can set all columns to be strings at least for now.
Try reading in the data set again using the read_csv() method. This time, also use the option dtype=str so that pandas treats everything like a string.
# TODO: Read in the projects_data.csv file using the read_csv method
# and dtype = str option
df_projects = pd.read_csv('projects_data.csv', dtype = str)
# Run the cell below to see what the data looks like
df_projects.head()
| id | regionname | countryname | prodline | lendinginstr | lendinginstrtype | envassesmentcategorycode | supplementprojectflg | productlinetype | projectstatusdisplay | ... | mjtheme3name | mjtheme4name | mjtheme5name | location | GeoLocID | GeoLocName | Latitude | Longitude | Country | Unnamed: 56 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | P162228 | Other | World;World | RE | Investment Project Financing | IN | C | N | L | Active | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 1 | P163962 | Africa | Democratic Republic of the Congo;Democratic Re... | PE | Investment Project Financing | IN | B | N | L | Active | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 2 | P167672 | South Asia | People's Republic of Bangladesh;People's Repub... | PE | Investment Project Financing | IN | NaN | Y | L | Active | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 3 | P158768 | South Asia | Islamic Republic of Afghanistan;Islamic Repu... | PE | Investment Project Financing | IN | A | N | L | Active | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 4 | P161364 | Africa | Federal Republic of Nigeria;Federal Republic o... | PE | Investment Project Financing | IN | B | N | L | Active | ... | NaN | NaN | NaN | 0002327546!$!Ogun State!$!7!$!3.58333!$!NG;000... | 0002327546;0002328925;0002565340;0002565343;00... | Ogun State;Niger State;Abia State;Edo;Kebbi St... | 7;10;5.41667;6.5;11.5;8 | 3.58333;6;7.5;6;4;10.5 | NG;NG;NG;NG;NG;NG | NaN |
5 rows × 57 columns
# TODO: count the number of null values in the data set
# HINT: use the isnull() and sum() methods
df_projects.isnull().sum()
id 0 regionname 0 countryname 0 prodline 0 lendinginstr 246 lendinginstrtype 246 envassesmentcategorycode 5811 supplementprojectflg 53 productlinetype 0 projectstatusdisplay 4 status 4 project_name 0 boardapprovaldate 1504 board_approval_month 1504 closingdate 3349 lendprojectcost 125 ibrdcommamt 0 idacommamt 0 totalamt 0 grantamt 0 borrower 5919 impagency 6097 url 0 projectdoc 18248 majorsector_percent 18248 sector1 0 sector2 8721 sector3 11761 sector4 13872 sector5 15535 sector 638 mjsector1 18248 mjsector2 18248 mjsector3 18248 mjsector4 18248 mjsector5 18248 mjsector 638 theme1 0 theme2 8395 theme3 10764 theme4 13014 theme5 15320 theme 18248 goal 6115 financier 11188 mjtheme1name 18248 mjtheme2name 18248 mjtheme3name 18248 mjtheme4name 18248 mjtheme5name 18248 location 13922 GeoLocID 13922 GeoLocName 13923 Latitude 13922 Longitude 13922 Country 14045 Unnamed: 56 18248 dtype: int64
Notice that the number 18248 shows up multiple times. There is also a countryname column with 0 missing values and a Country column with 14045 missing values. This data set clearly has some issues that will need to be solved in the transform part of the pipeline.
Next, output the shape of the data frame
# TODO: output the shape of the data frame
df_projects.shape
(18248, 57)
There are 18248 rows in this data set. Considering many columns had 18248 NaN values, many columns in the data set are filled completely with NaN values.
Next, use the pandas read_csv method to read in the population_data.csv file. The path to this file is "../data/population_data.csv". When you try to read in this data set using pandas, you'll get an error because there is something wrong with the data.
# TODO: read in the population_data.csv file using the read_csv() method
# Put the results in a variable called df_population
df_population = pd.read_csv('population_data.csv')
--------------------------------------------------------------------------- ParserError Traceback (most recent call last) <ipython-input-11-a93042ce333b> in <module> 1 # TODO: read in the population_data.csv file using the read_csv() method 2 # Put the results in a variable called df_population ----> 3 df_population = pd.read_csv('population_data.csv') ~/opt/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision) 674 ) 675 --> 676 return _read(filepath_or_buffer, kwds) 677 678 parser_f.__name__ = name ~/opt/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds) 452 453 try: --> 454 data = parser.read(nrows) 455 finally: 456 parser.close() ~/opt/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in read(self, nrows) 1131 def read(self, nrows=None): 1132 nrows = _validate_integer("nrows", nrows) -> 1133 ret = self._engine.read(nrows) 1134 1135 # May alter columns / col_dict ~/opt/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in read(self, nrows) 2035 def read(self, nrows=None): 2036 try: -> 2037 data = self._reader.read(nrows) 2038 except StopIteration: 2039 if self._first_chunk: pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.read() pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._read_low_memory() pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._read_rows() pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._tokenize_rows() pandas/_libs/parsers.pyx in pandas._libs.parsers.raise_parser_error() ParserError: Error tokenizing data. C error: Expected 3 fields in line 5, saw 63
There is something wrong with this data set. You should see an error that says "expected 3 fields in line 5, saw 63". What might have happened? Try printing out the first few lines of the data file to see what the issue might be.
# TODO: Print out the first 10 lines of the data set, line by line.
# HINT: You can't use the read_csv method from pandas
# HINT: to do this manually, you'll need to use pure Python
# HINT: the open(), readline(), and close() methods should be helpful
# HINT: Use a for loop
with open('population_data.csv') as f:
for i in range(10):
print(f.readline())
"Data Source","World Development Indicators", "Last Updated Date","2018-06-28", "Country Name","Country Code","Indicator Name","Indicator Code","1960","1961","1962","1963","1964","1965","1966","1967","1968","1969","1970","1971","1972","1973","1974","1975","1976","1977","1978","1979","1980","1981","1982","1983","1984","1985","1986","1987","1988","1989","1990","1991","1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017", "Aruba","ABW","Population, total","SP.POP.TOTL","54211","55438","56225","56695","57032","57360","57715","58055","58386","58726","59063","59440","59840","60243","60528","60657","60586","60366","60103","59980","60096","60567","61345","62201","62836","63026","62644","61833","61079","61032","62149","64622","68235","72504","76700","80324","83200","85451","87277","89005","90853","92898","94992","97017","98737","100031","100832","101220","101353","101453","101669","102053","102577","103187","103795","104341","104822","105264", "Afghanistan","AFG","Population, total","SP.POP.TOTL","8996351","9166764","9345868","9533954","9731361","9938414","10152331","10372630","10604346","10854428","11126123","11417825","11721940","12027822","12321541","12590286","12840299","13067538","13237734","13306695","13248370","13053954","12749645","12389269","12047115","11783050","11601041","11502761","11540888","11777609","12249114","12993657","13981231","15095099","16172719","17099541","17822884","18381605","18863999","19403676","20093756","20966463","21979923","23064851","24118979","25070798","25893450","26616792","27294031","28004331","28803167","29708599","30696958","31731688","32758020","33736494","34656032","35530081", "Angola","AGO","Population, total","SP.POP.TOTL","5643182","5753024","5866061","5980417","6093321","6203299","6309770","6414995","6523791","6642632","6776381","6927269","7094834","7277960","7474338","7682479","7900997","8130988","8376147","8641521","8929900","9244507","9582156","9931562","10277321","10609042","10921037","11218268","11513968","11827237","12171441","12553446","12968345","13403734","13841301","14268994","14682284","15088981","15504318","15949766","16440924","16983266","17572649","18203369","18865716","19552542","20262399","20997687","21759420","22549547","23369131","24218565","25096150","25998340","26920466","27859305","28813463","29784193", "Albania","ALB","Population, total","SP.POP.TOTL","1608800","1659800","1711319","1762621","1814135","1864791","1914573","1965598","2022272","2081695","2135479","2187853","2243126","2296752","2350124","2404831","2458526","2513546","2566266","2617832","2671997","2726056","2784278","2843960","2904429","2964762","3022635","3083605","3142336","3227943","3286542","3266790","3247039","3227287","3207536","3187784","3168033","3148281","3128530","3108778","3089027","3060173","3051010","3039616","3026939","3011487","2992547","2970017","2947314","2927519","2913021","2905195","2900401","2895092","2889104","2880703","2876101","2873457", "Andorra","AND","Population, total","SP.POP.TOTL","13411","14375","15370","16412","17469","18549","19647","20758","21890","23058","24276","25559","26892","28232","29520","30705","31777","32771","33737","34818","36067","37500","39114","40867","42706","44600","46517","48455","50434","52448","54509","56671","58888","60971","62677","63850","64360","64327","64142","64370","65390","67341","70049","73182","76244","78867","80991","82683","83861","84462","84449","83751","82431","80788","79223","78014","77281","76965",
The first four lines in the file are not properly formatted and don't contain data. Next, read in the data using the read_csv method. But this time, use the skiprows option.
# TODO: read in population data skipping the first four rows
# Put the results in a variable called df_population
df_population = pd.read_csv('population_data.csv', header = 2)
df_population.head()
| Country Name | Country Code | Indicator Name | Indicator Code | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | Unnamed: 62 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Aruba | ABW | Population, total | SP.POP.TOTL | 54211.0 | 55438.0 | 56225.0 | 56695.0 | 57032.0 | 57360.0 | 57715.0 | 58055.0 | 58386.0 | 58726.0 | 59063.0 | 59440.0 | 59840.0 | 60243.0 | 60528.0 | 60657.0 | 60586.0 | 60366.0 | 60103.0 | 59980.0 | 60096.0 | 60567.0 | 61345.0 | 62201.0 | 62836.0 | 63026.0 | 62644.0 | 61833.0 | 61079.0 | 61032.0 | 62149.0 | 64622.0 | 68235.0 | 72504.0 | 76700.0 | 80324.0 | 83200.0 | 85451.0 | 87277.0 | 89005.0 | 90853.0 | 92898.0 | 94992.0 | 97017.0 | 98737.0 | 100031.0 | 100832.0 | 101220.0 | 101353.0 | 101453.0 | 101669.0 | 102053.0 | 102577.0 | 103187.0 | 103795.0 | 104341.0 | 104822.0 | 105264.0 | NaN |
| 1 | Afghanistan | AFG | Population, total | SP.POP.TOTL | 8996351.0 | 9166764.0 | 9345868.0 | 9533954.0 | 9731361.0 | 9938414.0 | 10152331.0 | 10372630.0 | 10604346.0 | 10854428.0 | 11126123.0 | 11417825.0 | 11721940.0 | 12027822.0 | 12321541.0 | 12590286.0 | 12840299.0 | 13067538.0 | 13237734.0 | 13306695.0 | 13248370.0 | 13053954.0 | 12749645.0 | 12389269.0 | 12047115.0 | 11783050.0 | 11601041.0 | 11502761.0 | 11540888.0 | 11777609.0 | 12249114.0 | 12993657.0 | 13981231.0 | 15095099.0 | 16172719.0 | 17099541.0 | 17822884.0 | 18381605.0 | 18863999.0 | 19403676.0 | 20093756.0 | 20966463.0 | 21979923.0 | 23064851.0 | 24118979.0 | 25070798.0 | 25893450.0 | 26616792.0 | 27294031.0 | 28004331.0 | 28803167.0 | 29708599.0 | 30696958.0 | 31731688.0 | 32758020.0 | 33736494.0 | 34656032.0 | 35530081.0 | NaN |
| 2 | Angola | AGO | Population, total | SP.POP.TOTL | 5643182.0 | 5753024.0 | 5866061.0 | 5980417.0 | 6093321.0 | 6203299.0 | 6309770.0 | 6414995.0 | 6523791.0 | 6642632.0 | 6776381.0 | 6927269.0 | 7094834.0 | 7277960.0 | 7474338.0 | 7682479.0 | 7900997.0 | 8130988.0 | 8376147.0 | 8641521.0 | 8929900.0 | 9244507.0 | 9582156.0 | 9931562.0 | 10277321.0 | 10609042.0 | 10921037.0 | 11218268.0 | 11513968.0 | 11827237.0 | 12171441.0 | 12553446.0 | 12968345.0 | 13403734.0 | 13841301.0 | 14268994.0 | 14682284.0 | 15088981.0 | 15504318.0 | 15949766.0 | 16440924.0 | 16983266.0 | 17572649.0 | 18203369.0 | 18865716.0 | 19552542.0 | 20262399.0 | 20997687.0 | 21759420.0 | 22549547.0 | 23369131.0 | 24218565.0 | 25096150.0 | 25998340.0 | 26920466.0 | 27859305.0 | 28813463.0 | 29784193.0 | NaN |
| 3 | Albania | ALB | Population, total | SP.POP.TOTL | 1608800.0 | 1659800.0 | 1711319.0 | 1762621.0 | 1814135.0 | 1864791.0 | 1914573.0 | 1965598.0 | 2022272.0 | 2081695.0 | 2135479.0 | 2187853.0 | 2243126.0 | 2296752.0 | 2350124.0 | 2404831.0 | 2458526.0 | 2513546.0 | 2566266.0 | 2617832.0 | 2671997.0 | 2726056.0 | 2784278.0 | 2843960.0 | 2904429.0 | 2964762.0 | 3022635.0 | 3083605.0 | 3142336.0 | 3227943.0 | 3286542.0 | 3266790.0 | 3247039.0 | 3227287.0 | 3207536.0 | 3187784.0 | 3168033.0 | 3148281.0 | 3128530.0 | 3108778.0 | 3089027.0 | 3060173.0 | 3051010.0 | 3039616.0 | 3026939.0 | 3011487.0 | 2992547.0 | 2970017.0 | 2947314.0 | 2927519.0 | 2913021.0 | 2905195.0 | 2900401.0 | 2895092.0 | 2889104.0 | 2880703.0 | 2876101.0 | 2873457.0 | NaN |
| 4 | Andorra | AND | Population, total | SP.POP.TOTL | 13411.0 | 14375.0 | 15370.0 | 16412.0 | 17469.0 | 18549.0 | 19647.0 | 20758.0 | 21890.0 | 23058.0 | 24276.0 | 25559.0 | 26892.0 | 28232.0 | 29520.0 | 30705.0 | 31777.0 | 32771.0 | 33737.0 | 34818.0 | 36067.0 | 37500.0 | 39114.0 | 40867.0 | 42706.0 | 44600.0 | 46517.0 | 48455.0 | 50434.0 | 52448.0 | 54509.0 | 56671.0 | 58888.0 | 60971.0 | 62677.0 | 63850.0 | 64360.0 | 64327.0 | 64142.0 | 64370.0 | 65390.0 | 67341.0 | 70049.0 | 73182.0 | 76244.0 | 78867.0 | 80991.0 | 82683.0 | 83861.0 | 84462.0 | 84449.0 | 83751.0 | 82431.0 | 80788.0 | 79223.0 | 78014.0 | 77281.0 | 76965.0 | NaN |
Make sure to scroll over to see what the last column looks like. That last column, called 'Unnamed: 62', doesn't look very useful and is filled with NaN values.
pd.set_option("display.max_rows", None)
# TODO: Count the number of null values in each column
df_population.isnull().sum()
Country Name 0 Country Code 0 Indicator Name 0 Indicator Code 0 1960 4 1961 4 1962 4 1963 4 1964 4 1965 4 1966 4 1967 4 1968 4 1969 4 1970 4 1971 4 1972 4 1973 4 1974 4 1975 4 1976 4 1977 4 1978 4 1979 4 1980 4 1981 4 1982 4 1983 4 1984 4 1985 4 1986 4 1987 4 1988 4 1989 4 1990 2 1991 2 1992 3 1993 3 1994 3 1995 2 1996 2 1997 2 1998 1 1999 1 2000 1 2001 1 2002 1 2003 1 2004 1 2005 1 2006 1 2007 1 2008 1 2009 1 2010 1 2011 1 2012 2 2013 2 2014 2 2015 2 2016 2 2017 2 Unnamed: 62 264 dtype: int64
It looks like every year column has at least one NaN value.
# TODO: Count the number of null values in each row
# HINT: In the sum method, use axis=1
df_population.isnull().sum(axis = 1)
0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 1 10 1 11 1 12 1 13 1 14 1 15 1 16 1 17 1 18 1 19 1 20 1 21 1 22 1 23 1 24 1 25 1 26 1 27 1 28 1 29 1 30 1 31 1 32 1 33 1 34 1 35 1 36 1 37 1 38 1 39 1 40 1 41 1 42 1 43 1 44 1 45 1 46 1 47 1 48 1 49 1 50 1 51 1 52 1 53 1 54 1 55 1 56 1 57 1 58 1 59 1 60 1 61 1 62 1 63 1 64 1 65 1 66 1 67 7 68 1 69 1 70 1 71 1 72 1 73 1 74 1 75 1 76 1 77 1 78 1 79 1 80 1 81 1 82 1 83 1 84 1 85 1 86 1 87 1 88 1 89 1 90 1 91 1 92 1 93 1 94 1 95 1 96 1 97 1 98 1 99 1 100 1 101 1 102 1 103 1 104 1 105 1 106 1 107 1 108 59 109 1 110 1 111 1 112 1 113 1 114 1 115 1 116 1 117 1 118 1 119 1 120 1 121 1 122 1 123 1 124 1 125 4 126 1 127 1 128 1 129 1 130 1 131 1 132 1 133 1 134 1 135 1 136 1 137 1 138 1 139 1 140 1 141 1 142 1 143 1 144 1 145 1 146 1 147 1 148 1 149 1 150 1 151 1 152 1 153 1 154 1 155 1 156 1 157 1 158 1 159 1 160 1 161 1 162 1 163 1 164 1 165 1 166 1 167 1 168 1 169 1 170 1 171 1 172 1 173 1 174 1 175 1 176 1 177 1 178 1 179 1 180 1 181 1 182 1 183 1 184 1 185 1 186 1 187 1 188 1 189 1 190 1 191 1 192 1 193 1 194 31 195 1 196 1 197 1 198 1 199 1 200 1 201 1 202 1 203 1 204 1 205 1 206 1 207 1 208 1 209 1 210 1 211 1 212 31 213 1 214 1 215 1 216 1 217 1 218 1 219 1 220 1 221 1 222 1 223 39 224 1 225 1 226 1 227 1 228 1 229 1 230 1 231 1 232 1 233 1 234 1 235 1 236 1 237 1 238 1 239 1 240 1 241 1 242 1 243 1 244 1 245 1 246 1 247 1 248 1 249 1 250 1 251 1 252 1 253 1 254 1 255 1 256 1 257 1 258 1 259 1 260 1 261 1 262 1 263 1 dtype: int64
And it looks like almost every row has only one null value. That is probably from the 'Unnamed: 62' column that doesn't have any relevant information in it. Next, drop the 'Unnamed: 62' column from the data frame.
# TODO: drop the 'Unnamed: 62' column from the data frame,
# and save the results in the df_population variable
df_population.drop(columns = {'Unnamed: 62'}, inplace = True)
df_population.head()
| Country Name | Country Code | Indicator Name | Indicator Code | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Aruba | ABW | Population, total | SP.POP.TOTL | 54211.0 | 55438.0 | 56225.0 | 56695.0 | 57032.0 | 57360.0 | 57715.0 | 58055.0 | 58386.0 | 58726.0 | 59063.0 | 59440.0 | 59840.0 | 60243.0 | 60528.0 | 60657.0 | 60586.0 | 60366.0 | 60103.0 | 59980.0 | 60096.0 | 60567.0 | 61345.0 | 62201.0 | 62836.0 | 63026.0 | 62644.0 | 61833.0 | 61079.0 | 61032.0 | 62149.0 | 64622.0 | 68235.0 | 72504.0 | 76700.0 | 80324.0 | 83200.0 | 85451.0 | 87277.0 | 89005.0 | 90853.0 | 92898.0 | 94992.0 | 97017.0 | 98737.0 | 100031.0 | 100832.0 | 101220.0 | 101353.0 | 101453.0 | 101669.0 | 102053.0 | 102577.0 | 103187.0 | 103795.0 | 104341.0 | 104822.0 | 105264.0 |
| 1 | Afghanistan | AFG | Population, total | SP.POP.TOTL | 8996351.0 | 9166764.0 | 9345868.0 | 9533954.0 | 9731361.0 | 9938414.0 | 10152331.0 | 10372630.0 | 10604346.0 | 10854428.0 | 11126123.0 | 11417825.0 | 11721940.0 | 12027822.0 | 12321541.0 | 12590286.0 | 12840299.0 | 13067538.0 | 13237734.0 | 13306695.0 | 13248370.0 | 13053954.0 | 12749645.0 | 12389269.0 | 12047115.0 | 11783050.0 | 11601041.0 | 11502761.0 | 11540888.0 | 11777609.0 | 12249114.0 | 12993657.0 | 13981231.0 | 15095099.0 | 16172719.0 | 17099541.0 | 17822884.0 | 18381605.0 | 18863999.0 | 19403676.0 | 20093756.0 | 20966463.0 | 21979923.0 | 23064851.0 | 24118979.0 | 25070798.0 | 25893450.0 | 26616792.0 | 27294031.0 | 28004331.0 | 28803167.0 | 29708599.0 | 30696958.0 | 31731688.0 | 32758020.0 | 33736494.0 | 34656032.0 | 35530081.0 |
| 2 | Angola | AGO | Population, total | SP.POP.TOTL | 5643182.0 | 5753024.0 | 5866061.0 | 5980417.0 | 6093321.0 | 6203299.0 | 6309770.0 | 6414995.0 | 6523791.0 | 6642632.0 | 6776381.0 | 6927269.0 | 7094834.0 | 7277960.0 | 7474338.0 | 7682479.0 | 7900997.0 | 8130988.0 | 8376147.0 | 8641521.0 | 8929900.0 | 9244507.0 | 9582156.0 | 9931562.0 | 10277321.0 | 10609042.0 | 10921037.0 | 11218268.0 | 11513968.0 | 11827237.0 | 12171441.0 | 12553446.0 | 12968345.0 | 13403734.0 | 13841301.0 | 14268994.0 | 14682284.0 | 15088981.0 | 15504318.0 | 15949766.0 | 16440924.0 | 16983266.0 | 17572649.0 | 18203369.0 | 18865716.0 | 19552542.0 | 20262399.0 | 20997687.0 | 21759420.0 | 22549547.0 | 23369131.0 | 24218565.0 | 25096150.0 | 25998340.0 | 26920466.0 | 27859305.0 | 28813463.0 | 29784193.0 |
| 3 | Albania | ALB | Population, total | SP.POP.TOTL | 1608800.0 | 1659800.0 | 1711319.0 | 1762621.0 | 1814135.0 | 1864791.0 | 1914573.0 | 1965598.0 | 2022272.0 | 2081695.0 | 2135479.0 | 2187853.0 | 2243126.0 | 2296752.0 | 2350124.0 | 2404831.0 | 2458526.0 | 2513546.0 | 2566266.0 | 2617832.0 | 2671997.0 | 2726056.0 | 2784278.0 | 2843960.0 | 2904429.0 | 2964762.0 | 3022635.0 | 3083605.0 | 3142336.0 | 3227943.0 | 3286542.0 | 3266790.0 | 3247039.0 | 3227287.0 | 3207536.0 | 3187784.0 | 3168033.0 | 3148281.0 | 3128530.0 | 3108778.0 | 3089027.0 | 3060173.0 | 3051010.0 | 3039616.0 | 3026939.0 | 3011487.0 | 2992547.0 | 2970017.0 | 2947314.0 | 2927519.0 | 2913021.0 | 2905195.0 | 2900401.0 | 2895092.0 | 2889104.0 | 2880703.0 | 2876101.0 | 2873457.0 |
| 4 | Andorra | AND | Population, total | SP.POP.TOTL | 13411.0 | 14375.0 | 15370.0 | 16412.0 | 17469.0 | 18549.0 | 19647.0 | 20758.0 | 21890.0 | 23058.0 | 24276.0 | 25559.0 | 26892.0 | 28232.0 | 29520.0 | 30705.0 | 31777.0 | 32771.0 | 33737.0 | 34818.0 | 36067.0 | 37500.0 | 39114.0 | 40867.0 | 42706.0 | 44600.0 | 46517.0 | 48455.0 | 50434.0 | 52448.0 | 54509.0 | 56671.0 | 58888.0 | 60971.0 | 62677.0 | 63850.0 | 64360.0 | 64327.0 | 64142.0 | 64370.0 | 65390.0 | 67341.0 | 70049.0 | 73182.0 | 76244.0 | 78867.0 | 80991.0 | 82683.0 | 83861.0 | 84462.0 | 84449.0 | 83751.0 | 82431.0 | 80788.0 | 79223.0 | 78014.0 | 77281.0 | 76965.0 |
# Run this code cell.
# This code outputs any row that contains a null value
# The purpose is to see what rows contain null values now that
# 'Unnamed: 62' was dropped from the data.
df_population[df_population.isnull().any(axis=1)]
| Country Name | Country Code | Indicator Name | Indicator Code | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 67 | Eritrea | ERI | Population, total | SP.POP.TOTL | 1397491.0 | 1432640.0 | 1469645.0 | 1508273.0 | 1548187.0 | 1589179.0 | 1631147.0 | 1674204.0 | 1718525.0 | 1764343.0 | 1811878.0 | 1861199.0 | 1912302.0 | 1965160.0 | 2019717.0 | 2075965.0 | 2133723.0 | 2193068.0 | 2254450.0 | 2318495.0 | 2385540.0 | 2454766.0 | 2525521.0 | 2598410.0 | 2674289.0 | 2753151.0 | 2837111.0 | 2924349.0 | 3006361.0 | 3071771.0 | 3113311.0 | 3127297.0 | 3118582.0 | 3099047.0 | 3085443.0 | 3090159.0 | 3116379.0 | 3161350.0 | 3224223.0 | 3302263.0 | 3392801.0 | 3497124.0 | 3614639.0 | 3738265.0 | 3858623.0 | 3969007.0 | 4066648.0 | 4153332.0 | 4232636.0 | 4310334.0 | 4390840.0 | 4474690.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 108 | Not classified | INX | Population, total | SP.POP.TOTL | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 125 | Kuwait | KWT | Population, total | SP.POP.TOTL | 269618.0 | 301336.0 | 338296.0 | 379891.0 | 425235.0 | 473554.0 | 524856.0 | 579007.0 | 634897.0 | 691129.0 | 746767.0 | 801142.0 | 854604.0 | 908520.0 | 964834.0 | 1024940.0 | 1089209.0 | 1157033.0 | 1227601.0 | 1299683.0 | 1372318.0 | 1442991.0 | 1511314.0 | 1580638.0 | 1655833.0 | 1738994.0 | 1836105.0 | 1942810.0 | 2038885.0 | 2096932.0 | 2099615.0 | 2035661.0 | NaN | NaN | NaN | 1610651.0 | 1631740.0 | 1715314.0 | 1836353.0 | 1957066.0 | 2050741.0 | 2109355.0 | 2143833.0 | 2169118.0 | 2207939.0 | 2276623.0 | 2377258.0 | 2503410.0 | 2652340.0 | 2818939.0 | 2998083.0 | 3191051.0 | 3395556.0 | 3598385.0 | 3782450.0 | 3935794.0 | 4052584.0 | 4136528.0 |
| 194 | West Bank and Gaza | PSE | Population, total | SP.POP.TOTL | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1978248.0 | 2068845.0 | 2163591.0 | 2262676.0 | 2366298.0 | 2474666.0 | 2587997.0 | 2706518.0 | 2776568.0 | 2848431.0 | 2922153.0 | 2997784.0 | 3075373.0 | 3154969.0 | 3236626.0 | 3320396.0 | 3406334.0 | 3494496.0 | 3596688.0 | 3702218.0 | 3811102.0 | 3927051.0 | 4046901.0 | 4169506.0 | 4294682.0 | 4422143.0 | 4551566.0 | 4684777.0 |
| 212 | Serbia | SRB | Population, total | SP.POP.TOTL | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 7586000.0 | 7595636.0 | 7646424.0 | 7699307.0 | 7734639.0 | 7625357.0 | 7617794.0 | 7596501.0 | 7567745.0 | 7540401.0 | 7516346.0 | 7503433.0 | 7496522.0 | 7480591.0 | 7463157.0 | 7440769.0 | 7411569.0 | 7381579.0 | 7350222.0 | 7320807.0 | 7291436.0 | 7234099.0 | 7199077.0 | 7164132.0 | 7130576.0 | 7095383.0 | 7058322.0 | 7022268.0 |
| 223 | Sint Maarten (Dutch part) | SXM | Population, total | SP.POP.TOTL | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 31240.0 | 31084.0 | 30519.0 | 30600.0 | 30777.0 | 31472.0 | 32488.0 | 33011.0 | 33441.0 | 33811.0 | 33964.0 | 34238.0 | 34056.0 | 33435.0 | 34640.0 | 36607.0 | 37685.0 | 38824.0 | 39969.0 | 41109.0 |
This population data doesn't look too bad. Only six rows have missing values. In the transformation part of the lesson, you'll have to deal with these missing values somehow.
If you would like to see the solution file for this exercise, go to File->Open and click on 1_csv_exercise_solution.ipynb.
In the next exercise, you'll practice extracting data json and xml files.
You'll now get practice extracting data from JSON and XML. You'll extract the same population data from the previous exercise, except the data will be in a different format.
Both JSON and XML are common formats for storing data. XML was established before JSON, and JSON has become more popular over time. They both tend to be used for sending data via web APIs, which you'll learn about later in the lesson.
Sometimes, you can obtain the same data in either JSON or XML format. The World Bank indicator data is available in either form. In this exercise, you'll use the same data except one file is formatted as JSON and the other as XML.
There is a solution file for these exercises. Go to File->Open and click on 2_extract_exercise_solution.ipynb.
First, you'll practice extracting data from a JSON file. Run the cell below to print out the first line of the JSON file.
###
# Run the following cell.
# This cell loads a function that prints the first n lines of
# a file.
#
# Then this function is called on the JSON file to print out
# the first line of the population_data.json file
###
def print_lines(n, file_name):
f = open(file_name)
for i in range(n):
print(f.readline())
f.close()
print_lines(1, 'population_data.json')
[{"Country Name":"Aruba","Country Code":"ABW","Indicator Name":"Population, total","Indicator Code":"SP.POP.TOTL","1960":54211.0,"1961":55438.0,"1962":56225.0,"1963":56695.0,"1964":57032.0,"1965":57360.0,"1966":57715.0,"1967":58055.0,"1968":58386.0,"1969":58726.0,"1970":59063.0,"1971":59440.0,"1972":59840.0,"1973":60243.0,"1974":60528.0,"1975":60657.0,"1976":60586.0,"1977":60366.0,"1978":60103.0,"1979":59980.0,"1980":60096.0,"1981":60567.0,"1982":61345.0,"1983":62201.0,"1984":62836.0,"1985":63026.0,"1986":62644.0,"1987":61833.0,"1988":61079.0,"1989":61032.0,"1990":62149.0,"1991":64622.0,"1992":68235.0,"1993":72504.0,"1994":76700.0,"1995":80324.0,"1996":83200.0,"1997":85451.0,"1998":87277.0,"1999":89005.0,"2000":90853.0,"2001":92898.0,"2002":94992.0,"2003":97017.0,"2004":98737.0,"2005":100031.0,"2006":100832.0,"2007":101220.0,"2008":101353.0,"2009":101453.0,"2010":101669.0,"2011":102053.0,"2012":102577.0,"2013":103187.0,"2014":103795.0,"2015":104341.0,"2016":104822.0,"2017":105264.0},{"Country Name":"Afghanistan","Country Code":"AFG","Indicator Name":"Population, total","Indicator Code":"SP.POP.TOTL","1960":8996351.0,"1961":9166764.0,"1962":9345868.0,"1963":9533954.0,"1964":9731361.0,"1965":9938414.0,"1966":10152331.0,"1967":10372630.0,"1968":10604346.0,"1969":10854428.0,"1970":11126123.0,"1971":11417825.0,"1972":11721940.0,"1973":12027822.0,"1974":12321541.0,"1975":12590286.0,"1976":12840299.0,"1977":13067538.0,"1978":13237734.0,"1979":13306695.0,"1980":13248370.0,"1981":13053954.0,"1982":12749645.0,"1983":12389269.0,"1984":12047115.0,"1985":11783050.0,"1986":11601041.0,"1987":11502761.0,"1988":11540888.0,"1989":11777609.0,"1990":12249114.0,"1991":12993657.0,"1992":13981231.0,"1993":15095099.0,"1994":16172719.0,"1995":17099541.0,"1996":17822884.0,"1997":18381605.0,"1998":18863999.0,"1999":19403676.0,"2000":20093756.0,"2001":20966463.0,"2002":21979923.0,"2003":23064851.0,"2004":24118979.0,"2005":25070798.0,"2006":25893450.0,"2007":26616792.0,"2008":27294031.0,"2009":28004331.0,"2010":28803167.0,"2011":29708599.0,"2012":30696958.0,"2013":31731688.0,"2014":32758020.0,"2015":33736494.0,"2016":34656032.0,"2017":35530081.0},{"Country Name":"Angola","Country Code":"AGO","Indicator Name":"Population, total","Indicator Code":"SP.POP.TOTL","1960":5643182.0,"1961":5753024.0,"1962":5866061.0,"1963":5980417.0,"1964":6093321.0,"1965":6203299.0,"1966":6309770.0,"1967":6414995.0,"1968":6523791.0,"1969":6642632.0,"1970":6776381.0,"1971":6927269.0,"1972":7094834.0,"1973":7277960.0,"1974":7474338.0,"1975":7682479.0,"1976":7900997.0,"1977":8130988.0,"1978":8376147.0,"1979":8641521.0,"1980":8929900.0,"1981":9244507.0,"1982":9582156.0,"1983":9931562.0,"1984":10277321.0,"1985":10609042.0,"1986":10921037.0,"1987":11218268.0,"1988":11513968.0,"1989":11827237.0,"1990":12171441.0,"1991":12553446.0,"1992":12968345.0,"1993":13403734.0,"1994":13841301.0,"1995":14268994.0,"1996":14682284.0,"1997":15088981.0,"1998":15504318.0,"1999":15949766.0,"2000":16440924.0,"2001":16983266.0,"2002":17572649.0,"2003":18203369.0,"2004":18865716.0,"2005":19552542.0,"2006":20262399.0,"2007":20997687.0,"2008":21759420.0,"2009":22549547.0,"2010":23369131.0,"2011":24218565.0,"2012":25096150.0,"2013":25998340.0,"2014":26920466.0,"2015":27859305.0,"2016":28813463.0,"2017":29784193.0},{"Country Name":"Albania","Country Code":"ALB","Indicator Name":"Population, total","Indicator Code":"SP.POP.TOTL","1960":1608800.0,"1961":1659800.0,"1962":1711319.0,"1963":1762621.0,"1964":1814135.0,"1965":1864791.0,"1966":1914573.0,"1967":1965598.0,"1968":2022272.0,"1969":2081695.0,"1970":2135479.0,"1971":2187853.0,"1972":2243126.0,"1973":2296752.0,"1974":2350124.0,"1975":2404831.0,"1976":2458526.0,"1977":2513546.0,"1978":2566266.0,"1979":2617832.0,"1980":2671997.0,"1981":2726056.0,"1982":2784278.0,"1983":2843960.0,"1984":2904429.0,"1985":2964762.0,"1986":3022635.0,"1987":3083605.0,"1988":3142336.0,"1989":3227943.0,"1990":3286542.0,"1991":3266790.0,"1992":3247039.0,"1993":3227287.0,"1994":3207536.0,"1995":3187784.0,"1996":3168033.0,"1997":3148281.0,"1998":3128530.0,"1999":3108778.0,"2000":3089027.0,"2001":3060173.0,"2002":3051010.0,"2003":3039616.0,"2004":3026939.0,"2005":3011487.0,"2006":2992547.0,"2007":2970017.0,"2008":2947314.0,"2009":2927519.0,"2010":2913021.0,"2011":2905195.0,"2012":2900401.0,"2013":2895092.0,"2014":2889104.0,"2015":2880703.0,"2016":2876101.0,"2017":2873457.0},{"Country Name":"Andorra","Country Code":"AND","Indicator Name":"Population, total","Indicator Code":"SP.POP.TOTL","1960":13411.0,"1961":14375.0,"1962":15370.0,"1963":16412.0,"1964":17469.0,"1965":18549.0,"1966":19647.0,"1967":20758.0,"1968":21890.0,"1969":23058.0,"1970":24276.0,"1971":25559.0,"1972":26892.0,"1973":28232.0,"1974":29520.0,"1975":30705.0,"1976":31777.0,"1977":32771.0,"1978":33737.0,"1979":34818.0,"1980":36067.0,"1981":37500.0,"1982":39114.0,"1983":40867.0,"1984":42706.0,"1985":44600.0,"1986":46517.0,"1987":48455.0,"1988":50434.0,"1989":52448.0,"1990":54509.0,"1991":56671.0,"1992":58888.0,"1993":60971.0,"1994":62677.0,"1995":63850.0,"1996":64360.0,"1997":64327.0,"1998":64142.0,"1999":64370.0,"2000":65390.0,"2001":67341.0,"2002":70049.0,"2003":73182.0,"2004":76244.0,"2005":78867.0,"2006":80991.0,"2007":82683.0,"2008":83861.0,"2009":84462.0,"2010":84449.0,"2011":83751.0,"2012":82431.0,"2013":80788.0,"2014":79223.0,"2015":78014.0,"2016":77281.0,"2017":76965.0},{"Country Name":"Arab World","Country Code":"ARB","Indicator Name":"Population, total","Indicator 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Code":"SP.POP.TOTL","1960":63699.0,"1961":65713.0,"1962":67808.0,"1963":69964.0,"1964":72131.0,"1965":74289.0,"1966":76413.0,"1967":78522.0,"1968":80673.0,"1969":82940.0,"1970":85389.0,"1971":88022.0,"1972":90823.0,"1973":93765.0,"1974":96796.0,"1975":99872.0,"1976":103028.0,"1977":106222.0,"1978":109429.0,"1979":112580.0,"1980":115632.0,"1981":118580.0,"1982":121435.0,"1983":124249.0,"1984":127092.0,"1985":130027.0,"1986":133038.0,"1987":136125.0,"1988":139366.0,"1989":142849.0,"1990":146634.0,"1991":150778.0,"1992":155243.0,"1993":159814.0,"1994":164208.0,"1995":168235.0,"1996":171801.0,"1997":174999.0,"1998":178078.0,"1999":181345.0,"2000":185063.0,"2001":189290.0,"2002":193956.0,"2003":198964.0,"2004":204143.0,"2005":209370.0,"2006":214634.0,"2007":219953.0,"2008":225340.0,"2009":230785.0,"2010":236295.0,"2011":241871.0,"2012":247485.0,"2013":253142.0,"2014":258850.0,"2015":264603.0,"2016":270402.0,"2017":276244.0},{"Country Name":"World","Country Code":"WLD","Indicator Name":"Population, total","Indicator Code":"SP.POP.TOTL","1960":3032160395.0,"1961":3073368589.0,"1962":3126509809.0,"1963":3191786428.0,"1964":3257459749.0,"1965":3324545319.0,"1966":3394783653.0,"1967":3464689185.0,"1968":3535355316.0,"1969":3610178793.0,"1970":3685753341.0,"1971":3763393039.0,"1972":3840269676.0,"1973":3916243701.0,"1974":3992871281.0,"1975":4067740568.0,"1976":4140647339.0,"1977":4213305195.0,"1978":4287155675.0,"1979":4362863944.0,"1980":4439337768.0,"1981":4517802648.0,"1982":4599181616.0,"1983":4681262096.0,"1984":4763043102.0,"1985":4846338372.0,"1986":4932113625.0,"1987":5020001104.0,"1988":5108813278.0,"1989":5197758286.0,"1990":5288103214.0,"1991":5375488619.0,"1992":5459753865.0,"1993":5544873088.0,"1994":5628791176.0,"1995":5713794372.0,"1996":5796632117.0,"1997":5879433900.0,"1998":5961166037.0,"1999":6041818586.0,"2000":6121682736.0,"2001":6201340258.0,"2002":6280530065.0,"2003":6359899296.0,"2004":6439825381.0,"2005":6520298763.0,"2006":6601476541.0,"2007":6683223772.0,"2008":6766296679.0,"2009":6849569339.0,"2010":6932869743.0,"2011":7014983968.0,"2012":7099557649.0,"2013":7185137526.0,"2014":7271322821.0,"2015":7357559450.0,"2016":7444157356.0,"2017":7530360149.0},{"Country Name":"Samoa","Country Code":"WSM","Indicator Name":"Population, total","Indicator Code":"SP.POP.TOTL","1960":108646.0,"1961":112119.0,"1962":115788.0,"1963":119561.0,"1964":123354.0,"1965":127068.0,"1966":130688.0,"1967":134193.0,"1968":137506.0,"1969":140518.0,"1970":143176.0,"1971":145439.0,"1972":147321.0,"1973":148889.0,"1974":150221.0,"1975":151387.0,"1976":152390.0,"1977":153247.0,"1978":154007.0,"1979":154760.0,"1980":155557.0,"1981":156428.0,"1982":157403.0,"1983":158384.0,"1984":159283.0,"1985":160031.0,"1986":160592.0,"1987":161015.0,"1988":161421.0,"1989":161998.0,"1990":162866.0,"1991":164076.0,"1992":165570.0,"1993":167207.0,"1994":168788.0,"1995":170157.0,"1996":171283.0,"1997":172198.0,"1998":172981.0,"1999":173755.0,"2000":174610.0,"2001":175566.0,"2002":176582.0,"2003":177662.0,"2004":178781.0,"2005":179929.0,"2006":181094.0,"2007":182286.0,"2008":183526.0,"2009":184826.0,"2010":186205.0,"2011":187665.0,"2012":189194.0,"2013":190757.0,"2014":192290.0,"2015":193759.0,"2016":195125.0,"2017":196440.0},{"Country Name":"Kosovo","Country Code":"XKX","Indicator Name":"Population, total","Indicator Code":"SP.POP.TOTL","1960":947000.0,"1961":966000.0,"1962":994000.0,"1963":1022000.0,"1964":1050000.0,"1965":1078000.0,"1966":1106000.0,"1967":1135000.0,"1968":1163000.0,"1969":1191000.0,"1970":1219000.0,"1971":1247000.0,"1972":1278000.0,"1973":1308000.0,"1974":1339000.0,"1975":1369000.0,"1976":1400000.0,"1977":1430000.0,"1978":1460000.0,"1979":1491000.0,"1980":1521000.0,"1981":1552000.0,"1982":1582000.0,"1983":1614000.0,"1984":1647000.0,"1985":1682000.0,"1986":1717000.0,"1987":1753000.0,"1988":1791000.0,"1989":1827000.0,"1990":1862000.0,"1991":1898000.0,"1992":1932000.0,"1993":1965000.0,"1994":1997000.0,"1995":2029000.0,"1996":2059000.0,"1997":2086000.0,"1998":1966000.0,"1999":1762000.0,"2000":1700000.0,"2001":1701154.0,"2002":1702310.0,"2003":1703466.0,"2004":1704622.0,"2005":1705780.0,"2006":1719536.0,"2007":1733404.0,"2008":1747383.0,"2009":1761474.0,"2010":1775680.0,"2011":1791000.0,"2012":1805200.0,"2013":1824100.0,"2014":1821800.0,"2015":1801800.0,"2016":1816200.0,"2017":1830700.0},{"Country Name":"Yemen, Rep.","Country Code":"YEM","Indicator Name":"Population, total","Indicator Code":"SP.POP.TOTL","1960":5172135.0,"1961":5260501.0,"1962":5351799.0,"1963":5446063.0,"1964":5543339.0,"1965":5643643.0,"1966":5748588.0,"1967":5858638.0,"1968":5971407.0,"1969":6083619.0,"1970":6193810.0,"1971":6300554.0,"1972":6407295.0,"1973":6523452.0,"1974":6661566.0,"1975":6830692.0,"1976":7034868.0,"1977":7271872.0,"1978":7536764.0,"1979":7821552.0,"1980":8120497.0,"1981":8434017.0,"1982":8764621.0,"1983":9111097.0,"1984":9472170.0,"1985":9847899.0,"1986":10232733.0,"1987":10628585.0,"1988":11051504.0,"1989":11523267.0,"1990":12057039.0,"1991":12661614.0,"1992":13325583.0,"1993":14017239.0,"1994":14692686.0,"1995":15320653.0,"1996":15889449.0,"1997":16408954.0,"1998":16896210.0,"1999":17378098.0,"2000":17874725.0,"2001":18390135.0,"2002":18919179.0,"2003":19462086.0,"2004":20017068.0,"2005":20582927.0,"2006":21160534.0,"2007":21751605.0,"2008":22356391.0,"2009":22974929.0,"2010":23606779.0,"2011":24252206.0,"2012":24909969.0,"2013":25576322.0,"2014":26246327.0,"2015":26916207.0,"2016":27584213.0,"2017":28250420.0},{"Country Name":"South Africa","Country Code":"ZAF","Indicator Name":"Population, total","Indicator Code":"SP.POP.TOTL","1960":17456855.0,"1961":17920673.0,"1962":18401608.0,"1963":18899275.0,"1964":19412975.0,"1965":19942303.0,"1966":20486439.0,"1967":21045785.0,"1968":21622590.0,"1969":22219897.0,"1970":22839451.0,"1971":23482813.0,"1972":24148137.0,"1973":24829693.0,"1974":25519604.0,"1975":26212405.0,"1976":26904349.0,"1977":27597297.0,"1978":28298150.0,"1979":29017049.0,"1980":29760471.0,"1981":30532954.0,"1982":31330259.0,"1983":32139708.0,"1984":32943584.0,"1985":33730148.0,"1986":34490419.0,"1987":35230249.0,"1988":35970537.0,"1989":36740883.0,"1990":37560525.0,"1991":38437855.0,"1992":39360225.0,"1993":40300161.0,"1994":41218901.0,"1995":42088165.0,"1996":42898520.0,"1997":43657024.0,"1998":44372112.0,"1999":45058775.0,"2000":45728315.0,"2001":46385006.0,"2002":47026173.0,"2003":47648727.0,"2004":48247395.0,"2005":48820586.0,"2006":49364582.0,"2007":49887181.0,"2008":50412129.0,"2009":50970818.0,"2010":51584663.0,"2011":52263516.0,"2012":52998213.0,"2013":53767396.0,"2014":54539571.0,"2015":55291225.0,"2016":56015473.0,"2017":56717156.0},{"Country Name":"Zambia","Country Code":"ZMB","Indicator Name":"Population, total","Indicator Code":"SP.POP.TOTL","1960":3044846.0,"1961":3140264.0,"1962":3240587.0,"1963":3345145.0,"1964":3452942.0,"1965":3563407.0,"1966":3676189.0,"1967":3791887.0,"1968":3912085.0,"1969":4038923.0,"1970":4173928.0,"1971":4317748.0,"1972":4469895.0,"1973":4629402.0,"1974":4794754.0,"1975":4964831.0,"1976":5139030.0,"1977":5317631.0,"1978":5501445.0,"1979":5691749.0,"1980":5889230.0,"1981":6094206.0,"1982":6305709.0,"1983":6521542.0,"1984":6738765.0,"1985":6955212.0,"1986":7170656.0,"1987":7385686.0,"1988":7600072.0,"1989":7813808.0,"1990":8027253.0,"1991":8239732.0,"1992":8452275.0,"1993":8669168.0,"1994":8896109.0,"1995":9137077.0,"1996":9394304.0,"1997":9666578.0,"1998":9950224.0,"1999":10239714.0,"2000":10531221.0,"2001":10824125.0,"2002":11120409.0,"2003":11421984.0,"2004":11731746.0,"2005":12052156.0,"2006":12383446.0,"2007":12725974.0,"2008":13082517.0,"2009":13456417.0,"2010":13850033.0,"2011":14264756.0,"2012":14699937.0,"2013":15153210.0,"2014":15620974.0,"2015":16100587.0,"2016":16591390.0,"2017":17094130.0},{"Country Name":"Zimbabwe","Country Code":"ZWE","Indicator Name":"Population, total","Indicator Code":"SP.POP.TOTL","1960":3747369.0,"1961":3870756.0,"1962":3999419.0,"1963":4132756.0,"1964":4269863.0,"1965":4410212.0,"1966":4553433.0,"1967":4700041.0,"1968":4851431.0,"1969":5009514.0,"1970":5175618.0,"1971":5351195.0,"1972":5535874.0,"1973":5727044.0,"1974":5920943.0,"1975":6115370.0,"1976":6308300.0,"1977":6501893.0,"1978":6703182.0,"1979":6921790.0,"1980":7164172.0,"1981":7431940.0,"1982":7721536.0,"1983":8027565.0,"1984":8342195.0,"1985":8658857.0,"1986":8976205.0,"1987":9293283.0,"1988":9604302.0,"1989":9902540.0,"1990":10183113.0,"1991":10443043.0,"1992":10682868.0,"1993":10905756.0,"1994":11116948.0,"1995":11320346.0,"1996":11518262.0,"1997":11709997.0,"1998":11893272.0,"1999":12064537.0,"2000":12222251.0,"2001":12366165.0,"2002":12500525.0,"2003":12633897.0,"2004":12777511.0,"2005":12940032.0,"2006":13124267.0,"2007":13329909.0,"2008":13558469.0,"2009":13810599.0,"2010":14086317.0,"2011":14386649.0,"2012":14710826.0,"2013":15054506.0,"2014":15411675.0,"2015":15777451.0,"2016":16150362.0,"2017":16529904.0}]
import json
with open('population_data.json','r') as jsfile:
lines = jsfile.readlines()
js_lines = json.loads(lines[0])
print(json.dumps(js_line[:2],indent=4))
[
{
"Country Name": "Aruba",
"Country Code": "ABW",
"Indicator Name": "Population, total",
"Indicator Code": "SP.POP.TOTL",
"1960": 54211.0,
"1961": 55438.0,
"1962": 56225.0,
"1963": 56695.0,
"1964": 57032.0,
"1965": 57360.0,
"1966": 57715.0,
"1967": 58055.0,
"1968": 58386.0,
"1969": 58726.0,
"1970": 59063.0,
"1971": 59440.0,
"1972": 59840.0,
"1973": 60243.0,
"1974": 60528.0,
"1975": 60657.0,
"1976": 60586.0,
"1977": 60366.0,
"1978": 60103.0,
"1979": 59980.0,
"1980": 60096.0,
"1981": 60567.0,
"1982": 61345.0,
"1983": 62201.0,
"1984": 62836.0,
"1985": 63026.0,
"1986": 62644.0,
"1987": 61833.0,
"1988": 61079.0,
"1989": 61032.0,
"1990": 62149.0,
"1991": 64622.0,
"1992": 68235.0,
"1993": 72504.0,
"1994": 76700.0,
"1995": 80324.0,
"1996": 83200.0,
"1997": 85451.0,
"1998": 87277.0,
"1999": 89005.0,
"2000": 90853.0,
"2001": 92898.0,
"2002": 94992.0,
"2003": 97017.0,
"2004": 98737.0,
"2005": 100031.0,
"2006": 100832.0,
"2007": 101220.0,
"2008": 101353.0,
"2009": 101453.0,
"2010": 101669.0,
"2011": 102053.0,
"2012": 102577.0,
"2013": 103187.0,
"2014": 103795.0,
"2015": 104341.0,
"2016": 104822.0,
"2017": 105264.0
},
{
"Country Name": "Afghanistan",
"Country Code": "AFG",
"Indicator Name": "Population, total",
"Indicator Code": "SP.POP.TOTL",
"1960": 8996351.0,
"1961": 9166764.0,
"1962": 9345868.0,
"1963": 9533954.0,
"1964": 9731361.0,
"1965": 9938414.0,
"1966": 10152331.0,
"1967": 10372630.0,
"1968": 10604346.0,
"1969": 10854428.0,
"1970": 11126123.0,
"1971": 11417825.0,
"1972": 11721940.0,
"1973": 12027822.0,
"1974": 12321541.0,
"1975": 12590286.0,
"1976": 12840299.0,
"1977": 13067538.0,
"1978": 13237734.0,
"1979": 13306695.0,
"1980": 13248370.0,
"1981": 13053954.0,
"1982": 12749645.0,
"1983": 12389269.0,
"1984": 12047115.0,
"1985": 11783050.0,
"1986": 11601041.0,
"1987": 11502761.0,
"1988": 11540888.0,
"1989": 11777609.0,
"1990": 12249114.0,
"1991": 12993657.0,
"1992": 13981231.0,
"1993": 15095099.0,
"1994": 16172719.0,
"1995": 17099541.0,
"1996": 17822884.0,
"1997": 18381605.0,
"1998": 18863999.0,
"1999": 19403676.0,
"2000": 20093756.0,
"2001": 20966463.0,
"2002": 21979923.0,
"2003": 23064851.0,
"2004": 24118979.0,
"2005": 25070798.0,
"2006": 25893450.0,
"2007": 26616792.0,
"2008": 27294031.0,
"2009": 28004331.0,
"2010": 28803167.0,
"2011": 29708599.0,
"2012": 30696958.0,
"2013": 31731688.0,
"2014": 32758020.0,
"2015": 33736494.0,
"2016": 34656032.0,
"2017": 35530081.0
}
]
The first "line" in the file is actually the entire file. JSON is a compact way of representing data in a dictionary-like format. Luckily, pandas has a method to read in a json file and parse the results for you.
If you open the link with the documentation, you'll see there is an orient option that can handle JSON formatted in different ways:
'split' : dict like {index -> [index], columns -> [columns], data -> [values]}
'records' : list like [{column -> value}, ... , {column -> value}]
'index' : dict like {index -> {column -> value}}
'columns' : dict like {column -> {index -> value}}
'values' : just the values array
In this case, the JSON is formatted with a 'records' orientation, so you'll need to use that value in the read_json() method. You can tell that the format is 'records' by comparing the pattern in the documentation with the pattern in the JSON file.
Next, read in the population_data.json file using pandas.
# TODO: Read in the population_data.json file using pandas's
# read_json method. Don't forget to specific the orient option
# store the results in df_json
import pandas as pd
df_json = pd.read_json('population_data.json',orient = 'records')
# TODO: Use the head method to see the first few rows of the resulting
df_json.head()
| Country Name | Country Code | Indicator Name | Indicator Code | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Aruba | ABW | Population, total | SP.POP.TOTL | 54211.0 | 55438.0 | 56225.0 | 56695.0 | 57032.0 | 57360.0 | 57715.0 | 58055.0 | 58386.0 | 58726.0 | 59063.0 | 59440.0 | 59840.0 | 60243.0 | 60528.0 | 60657.0 | 60586.0 | 60366.0 | 60103.0 | 59980.0 | 60096.0 | 60567.0 | 61345.0 | 62201.0 | 62836.0 | 63026.0 | 62644.0 | 61833.0 | 61079.0 | 61032.0 | 62149.0 | 64622.0 | 68235.0 | 72504.0 | 76700.0 | 80324.0 | 83200.0 | 85451.0 | 87277.0 | 89005.0 | 90853.0 | 92898.0 | 94992.0 | 97017.0 | 98737.0 | 100031.0 | 100832.0 | 101220.0 | 101353.0 | 101453.0 | 101669.0 | 102053.0 | 102577.0 | 103187.0 | 103795.0 | 104341.0 | 104822.0 | 105264.0 |
| 1 | Afghanistan | AFG | Population, total | SP.POP.TOTL | 8996351.0 | 9166764.0 | 9345868.0 | 9533954.0 | 9731361.0 | 9938414.0 | 10152331.0 | 10372630.0 | 10604346.0 | 10854428.0 | 11126123.0 | 11417825.0 | 11721940.0 | 12027822.0 | 12321541.0 | 12590286.0 | 12840299.0 | 13067538.0 | 13237734.0 | 13306695.0 | 13248370.0 | 13053954.0 | 12749645.0 | 12389269.0 | 12047115.0 | 11783050.0 | 11601041.0 | 11502761.0 | 11540888.0 | 11777609.0 | 12249114.0 | 12993657.0 | 13981231.0 | 15095099.0 | 16172719.0 | 17099541.0 | 17822884.0 | 18381605.0 | 18863999.0 | 19403676.0 | 20093756.0 | 20966463.0 | 21979923.0 | 23064851.0 | 24118979.0 | 25070798.0 | 25893450.0 | 26616792.0 | 27294031.0 | 28004331.0 | 28803167.0 | 29708599.0 | 30696958.0 | 31731688.0 | 32758020.0 | 33736494.0 | 34656032.0 | 35530081.0 |
| 2 | Angola | AGO | Population, total | SP.POP.TOTL | 5643182.0 | 5753024.0 | 5866061.0 | 5980417.0 | 6093321.0 | 6203299.0 | 6309770.0 | 6414995.0 | 6523791.0 | 6642632.0 | 6776381.0 | 6927269.0 | 7094834.0 | 7277960.0 | 7474338.0 | 7682479.0 | 7900997.0 | 8130988.0 | 8376147.0 | 8641521.0 | 8929900.0 | 9244507.0 | 9582156.0 | 9931562.0 | 10277321.0 | 10609042.0 | 10921037.0 | 11218268.0 | 11513968.0 | 11827237.0 | 12171441.0 | 12553446.0 | 12968345.0 | 13403734.0 | 13841301.0 | 14268994.0 | 14682284.0 | 15088981.0 | 15504318.0 | 15949766.0 | 16440924.0 | 16983266.0 | 17572649.0 | 18203369.0 | 18865716.0 | 19552542.0 | 20262399.0 | 20997687.0 | 21759420.0 | 22549547.0 | 23369131.0 | 24218565.0 | 25096150.0 | 25998340.0 | 26920466.0 | 27859305.0 | 28813463.0 | 29784193.0 |
| 3 | Albania | ALB | Population, total | SP.POP.TOTL | 1608800.0 | 1659800.0 | 1711319.0 | 1762621.0 | 1814135.0 | 1864791.0 | 1914573.0 | 1965598.0 | 2022272.0 | 2081695.0 | 2135479.0 | 2187853.0 | 2243126.0 | 2296752.0 | 2350124.0 | 2404831.0 | 2458526.0 | 2513546.0 | 2566266.0 | 2617832.0 | 2671997.0 | 2726056.0 | 2784278.0 | 2843960.0 | 2904429.0 | 2964762.0 | 3022635.0 | 3083605.0 | 3142336.0 | 3227943.0 | 3286542.0 | 3266790.0 | 3247039.0 | 3227287.0 | 3207536.0 | 3187784.0 | 3168033.0 | 3148281.0 | 3128530.0 | 3108778.0 | 3089027.0 | 3060173.0 | 3051010.0 | 3039616.0 | 3026939.0 | 3011487.0 | 2992547.0 | 2970017.0 | 2947314.0 | 2927519.0 | 2913021.0 | 2905195.0 | 2900401.0 | 2895092.0 | 2889104.0 | 2880703.0 | 2876101.0 | 2873457.0 |
| 4 | Andorra | AND | Population, total | SP.POP.TOTL | 13411.0 | 14375.0 | 15370.0 | 16412.0 | 17469.0 | 18549.0 | 19647.0 | 20758.0 | 21890.0 | 23058.0 | 24276.0 | 25559.0 | 26892.0 | 28232.0 | 29520.0 | 30705.0 | 31777.0 | 32771.0 | 33737.0 | 34818.0 | 36067.0 | 37500.0 | 39114.0 | 40867.0 | 42706.0 | 44600.0 | 46517.0 | 48455.0 | 50434.0 | 52448.0 | 54509.0 | 56671.0 | 58888.0 | 60971.0 | 62677.0 | 63850.0 | 64360.0 | 64327.0 | 64142.0 | 64370.0 | 65390.0 | 67341.0 | 70049.0 | 73182.0 | 76244.0 | 78867.0 | 80991.0 | 82683.0 | 83861.0 | 84462.0 | 84449.0 | 83751.0 | 82431.0 | 80788.0 | 79223.0 | 78014.0 | 77281.0 | 76965.0 |
Notice that this population data is the same as the data from the previous exercise. The column order might have changed, but the data is otherwise the same.
Besides using pandas to read JSON files, you can use the json library. Run the code cell below to see an example of reading in JSON with the json library. Python treats JSON data like a dictionary.
import json
# read in the JSON file
with open('population_data.json') as f:
json_data = json.load(f)
# print the first record in the JSON file
print(json_data[0])
print('\n')
# show that JSON data is essentially a dictionary
print(json_data[0]['Country Name'])
print(json_data[0]['Country Code'])
{'Country Name': 'Aruba', 'Country Code': 'ABW', 'Indicator Name': 'Population, total', 'Indicator Code': 'SP.POP.TOTL', '1960': 54211.0, '1961': 55438.0, '1962': 56225.0, '1963': 56695.0, '1964': 57032.0, '1965': 57360.0, '1966': 57715.0, '1967': 58055.0, '1968': 58386.0, '1969': 58726.0, '1970': 59063.0, '1971': 59440.0, '1972': 59840.0, '1973': 60243.0, '1974': 60528.0, '1975': 60657.0, '1976': 60586.0, '1977': 60366.0, '1978': 60103.0, '1979': 59980.0, '1980': 60096.0, '1981': 60567.0, '1982': 61345.0, '1983': 62201.0, '1984': 62836.0, '1985': 63026.0, '1986': 62644.0, '1987': 61833.0, '1988': 61079.0, '1989': 61032.0, '1990': 62149.0, '1991': 64622.0, '1992': 68235.0, '1993': 72504.0, '1994': 76700.0, '1995': 80324.0, '1996': 83200.0, '1997': 85451.0, '1998': 87277.0, '1999': 89005.0, '2000': 90853.0, '2001': 92898.0, '2002': 94992.0, '2003': 97017.0, '2004': 98737.0, '2005': 100031.0, '2006': 100832.0, '2007': 101220.0, '2008': 101353.0, '2009': 101453.0, '2010': 101669.0, '2011': 102053.0, '2012': 102577.0, '2013': 103187.0, '2014': 103795.0, '2015': 104341.0, '2016': 104822.0, '2017': 105264.0}
Aruba
ABW
Next, you'll work with the same data except now the data is in xml format. Run the next code cell to see what the first fifteen lines of the data file look like.
# Run the code cell to print out the first 15 lines of the xml file
print_lines(15, 'population_data.xml')
<?xml version="1.0" encoding="utf-8"?>
<Root xmlns:wb="http://www.worldbank.org">
<data>
<record>
<field name="Country or Area" key="ABW">Aruba</field>
<field name="Item" key="SP.POP.TOTL">Population, total</field>
<field name="Year">1960</field>
<field name="Value">54211</field>
</record>
<record>
<field name="Country or Area" key="ABW">Aruba</field>
<field name="Item" key="SP.POP.TOTL">Population, total</field>
<field name="Year">1961</field>
<field name="Value">55438</field>
</record>
XML looks very similar to HTML. XML is formatted with tags having values inside the tags. XML is not as easy to navigate as JSON. Pandas cannot read in XML directly. One reason is that tag names are user defined. Every XML file might have different formatting. You can imagine why XML has fallen out of favor relative to JSON.
There is a Python library called BeautifulSoup, which makes reading in and parsing XML data easier. Here is the link to the documentation: Beautiful Soup Documentation
The find() method will find the first place where an xml element occurs. For example using find('record') will return the first record in the xml file:
<record>
<field name="Country or Area" key="ABW">Aruba</field>
<field name="Item" key="SP.POP.TOTL">Population, total</field>
<field name="Year">1960</field>
<field name="Value">54211</field>
</record>
The find_all() method returns all of the matching tags. So find_all('record') would return all of the elements with the <record> tag.
Run the code cells below to get a basic idea of how to navigate XML with BeautifulSoup. To navigate through the xml file, you search for a specific tag using the find() method or find_all() method.
Below these code cells, there is an exercise for wrangling the XML data.
# import the BeautifulSoup library
from bs4 import BeautifulSoup
# open the population_data.xml file and load into Beautiful Soup
with open("population_data.xml") as fp:
soup = BeautifulSoup(fp, "lxml") # lxml is the Parser type
# output the first 5 records in the xml file
# this is an example of how to navigate the XML document with BeautifulSoup
i = 0
# use the find_all method to get all record tags in the document
for record in soup.find_all('record'):
# use the find_all method to get all fields in each record
i += 1
for field in record.find_all('field'):
print(field['name'], ': ' , field.text)
print()
if i == 5:
break
Country or Area : Aruba Item : Population, total Year : 1960 Value : 54211 Country or Area : Aruba Item : Population, total Year : 1961 Value : 55438 Country or Area : Aruba Item : Population, total Year : 1962 Value : 56225 Country or Area : Aruba Item : Population, total Year : 1963 Value : 56695 Country or Area : Aruba Item : Population, total Year : 1964 Value : 57032
Create a data frame from the xml file. This exercise is somewhat tricky. One solution would be to convert the xml data into dictionaries and then use the dictionaries to create a data frame.
The dataframe should have the following layout:
| Country or Area | Year | Item | Value |
|---|---|---|---|
| Aruba | 1960 | Population, total | 54211 |
| Aruba | 1961 | Population, total | 55348 |
etc...
Technically, extracting XML, transforming the results, and putting it into a data frame is a full ETL pipeline. This exercise is jumping ahead in terms of what's to come later in the lesson. But it's a good chance to familiarize yourself with XML.
# TODO: Create a pandas data frame from the XML data.
# HINT: You can use dictionaries to create pandas data frames.
# HINT: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.from_dict.html#pandas.DataFrame.from_dict
# HINT: You can make a dictionary for each column or for each row (See the link above for more information)
# HINT: Modify the code from the previous code cell
with open("population_data.xml") as fp:
soup = BeautifulSoup(fp, "lxml") # lxml is the Parser type
full_dict = {}
i = 0
for record in soup.find_all('record'):
record_list = []
for field in record.find_all('field'):
record_list.append(field.text)
full_dict[str(i)] = record_list
i = i+1
df = pd.DataFrame.from_dict(full_dict, orient='index', columns = ['Country or Area','Item','Year','Value'])
df = df.pivot(index = 'Country or Area', columns = 'Year',values = 'Value')
df.reset_index(level = 0, inplace = True)
Like CSV, JSON and XML are ways to format data. If everything is formatted correctly, JSON is especially easy to work with. XML is an older standard and a bit trickier to handle.
As a reminder, there is a solution file for these exercises. You can go to File->Open and then click on 2_extract_exercise.
In this workbook, you'll gain experience extracting data from SQL databases. This is an overview of Python tools and assumes you already have experience writing SQL queries.
You can use Pandas to open a SQL database or to run a SQL query against a database. There is more than one way to do this depending on the type of SQL database you are working with: the sqlite3 library or the sqlalchemy library.
In the same folder as this Jupyter notebook, there is a SQLite database file called "population_data.db". SQLite is a database engine meant for single applications. The entire database is contained in one file. You can read more about SQLite here.
In this example, the "population_data.db" database contains only one table called "population_data". Run the code in the following cells to see how to use a SQLite database with pandas. (If you're curious how the data was converted from a csv file to a database, go to File->Open and click on create_db.py). You'll find an exercise at the bottom of the Jupyter notebook.
import sqlite3
import pandas as pd
# connect to the database
conn = sqlite3.connect('population_data.db')
# run a query
pd.read_sql('SELECT * FROM population_data', conn)
| index | Country_Name | Country_Code | Indicator_Name | Indicator_Code | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | Aruba | ABW | Population, total | SP.POP.TOTL | 5.421100e+04 | 5.543800e+04 | 5.622500e+04 | 5.669500e+04 | 5.703200e+04 | 5.736000e+04 | 5.771500e+04 | 5.805500e+04 | 5.838600e+04 | 5.872600e+04 | 5.906300e+04 | 5.944000e+04 | 5.984000e+04 | 6.024300e+04 | 6.052800e+04 | 6.065700e+04 | 6.058600e+04 | 6.036600e+04 | 6.010300e+04 | 5.998000e+04 | 6.009600e+04 | 6.056700e+04 | 6.134500e+04 | 6.220100e+04 | 6.283600e+04 | 6.302600e+04 | 6.264400e+04 | 6.183300e+04 | 6.107900e+04 | 6.103200e+04 | 6.214900e+04 | 6.462200e+04 | 6.823500e+04 | 7.250400e+04 | 7.670000e+04 | 8.032400e+04 | 8.320000e+04 | 8.545100e+04 | 8.727700e+04 | 8.900500e+04 | 9.085300e+04 | 9.289800e+04 | 9.499200e+04 | 9.701700e+04 | 9.873700e+04 | 1.000310e+05 | 1.008320e+05 | 1.012200e+05 | 1.013530e+05 | 1.014530e+05 | 1.016690e+05 | 1.020530e+05 | 1.025770e+05 | 1.031870e+05 | 1.037950e+05 | 1.043410e+05 | 1.048220e+05 | 1.052640e+05 |
| 1 | 1 | Afghanistan | AFG | Population, total | SP.POP.TOTL | 8.996351e+06 | 9.166764e+06 | 9.345868e+06 | 9.533954e+06 | 9.731361e+06 | 9.938414e+06 | 1.015233e+07 | 1.037263e+07 | 1.060435e+07 | 1.085443e+07 | 1.112612e+07 | 1.141782e+07 | 1.172194e+07 | 1.202782e+07 | 1.232154e+07 | 1.259029e+07 | 1.284030e+07 | 1.306754e+07 | 1.323773e+07 | 1.330670e+07 | 1.324837e+07 | 1.305395e+07 | 1.274964e+07 | 1.238927e+07 | 1.204712e+07 | 1.178305e+07 | 1.160104e+07 | 1.150276e+07 | 1.154089e+07 | 1.177761e+07 | 1.224911e+07 | 1.299366e+07 | 1.398123e+07 | 1.509510e+07 | 1.617272e+07 | 1.709954e+07 | 1.782288e+07 | 1.838160e+07 | 1.886400e+07 | 1.940368e+07 | 2.009376e+07 | 2.096646e+07 | 2.197992e+07 | 2.306485e+07 | 2.411898e+07 | 2.507080e+07 | 2.589345e+07 | 2.661679e+07 | 2.729403e+07 | 2.800433e+07 | 2.880317e+07 | 2.970860e+07 | 3.069696e+07 | 3.173169e+07 | 3.275802e+07 | 3.373649e+07 | 3.465603e+07 | 3.553008e+07 |
| 2 | 2 | Angola | AGO | Population, total | SP.POP.TOTL | 5.643182e+06 | 5.753024e+06 | 5.866061e+06 | 5.980417e+06 | 6.093321e+06 | 6.203299e+06 | 6.309770e+06 | 6.414995e+06 | 6.523791e+06 | 6.642632e+06 | 6.776381e+06 | 6.927269e+06 | 7.094834e+06 | 7.277960e+06 | 7.474338e+06 | 7.682479e+06 | 7.900997e+06 | 8.130988e+06 | 8.376147e+06 | 8.641521e+06 | 8.929900e+06 | 9.244507e+06 | 9.582156e+06 | 9.931562e+06 | 1.027732e+07 | 1.060904e+07 | 1.092104e+07 | 1.121827e+07 | 1.151397e+07 | 1.182724e+07 | 1.217144e+07 | 1.255345e+07 | 1.296834e+07 | 1.340373e+07 | 1.384130e+07 | 1.426899e+07 | 1.468228e+07 | 1.508898e+07 | 1.550432e+07 | 1.594977e+07 | 1.644092e+07 | 1.698327e+07 | 1.757265e+07 | 1.820337e+07 | 1.886572e+07 | 1.955254e+07 | 2.026240e+07 | 2.099769e+07 | 2.175942e+07 | 2.254955e+07 | 2.336913e+07 | 2.421856e+07 | 2.509615e+07 | 2.599834e+07 | 2.692047e+07 | 2.785930e+07 | 2.881346e+07 | 2.978419e+07 |
| 3 | 3 | Albania | ALB | Population, total | SP.POP.TOTL | 1.608800e+06 | 1.659800e+06 | 1.711319e+06 | 1.762621e+06 | 1.814135e+06 | 1.864791e+06 | 1.914573e+06 | 1.965598e+06 | 2.022272e+06 | 2.081695e+06 | 2.135479e+06 | 2.187853e+06 | 2.243126e+06 | 2.296752e+06 | 2.350124e+06 | 2.404831e+06 | 2.458526e+06 | 2.513546e+06 | 2.566266e+06 | 2.617832e+06 | 2.671997e+06 | 2.726056e+06 | 2.784278e+06 | 2.843960e+06 | 2.904429e+06 | 2.964762e+06 | 3.022635e+06 | 3.083605e+06 | 3.142336e+06 | 3.227943e+06 | 3.286542e+06 | 3.266790e+06 | 3.247039e+06 | 3.227287e+06 | 3.207536e+06 | 3.187784e+06 | 3.168033e+06 | 3.148281e+06 | 3.128530e+06 | 3.108778e+06 | 3.089027e+06 | 3.060173e+06 | 3.051010e+06 | 3.039616e+06 | 3.026939e+06 | 3.011487e+06 | 2.992547e+06 | 2.970017e+06 | 2.947314e+06 | 2.927519e+06 | 2.913021e+06 | 2.905195e+06 | 2.900401e+06 | 2.895092e+06 | 2.889104e+06 | 2.880703e+06 | 2.876101e+06 | 2.873457e+06 |
| 4 | 4 | Andorra | AND | Population, total | SP.POP.TOTL | 1.341100e+04 | 1.437500e+04 | 1.537000e+04 | 1.641200e+04 | 1.746900e+04 | 1.854900e+04 | 1.964700e+04 | 2.075800e+04 | 2.189000e+04 | 2.305800e+04 | 2.427600e+04 | 2.555900e+04 | 2.689200e+04 | 2.823200e+04 | 2.952000e+04 | 3.070500e+04 | 3.177700e+04 | 3.277100e+04 | 3.373700e+04 | 3.481800e+04 | 3.606700e+04 | 3.750000e+04 | 3.911400e+04 | 4.086700e+04 | 4.270600e+04 | 4.460000e+04 | 4.651700e+04 | 4.845500e+04 | 5.043400e+04 | 5.244800e+04 | 5.450900e+04 | 5.667100e+04 | 5.888800e+04 | 6.097100e+04 | 6.267700e+04 | 6.385000e+04 | 6.436000e+04 | 6.432700e+04 | 6.414200e+04 | 6.437000e+04 | 6.539000e+04 | 6.734100e+04 | 7.004900e+04 | 7.318200e+04 | 7.624400e+04 | 7.886700e+04 | 8.099100e+04 | 8.268300e+04 | 8.386100e+04 | 8.446200e+04 | 8.444900e+04 | 8.375100e+04 | 8.243100e+04 | 8.078800e+04 | 7.922300e+04 | 7.801400e+04 | 7.728100e+04 | 7.696500e+04 |
| 5 | 5 | Arab World | ARB | Population, total | SP.POP.TOTL | 9.249093e+07 | 9.504450e+07 | 9.768229e+07 | 1.004111e+08 | 1.032399e+08 | 1.061750e+08 | 1.092306e+08 | 1.124069e+08 | 1.156802e+08 | 1.190165e+08 | 1.223984e+08 | 1.258074e+08 | 1.292694e+08 | 1.328634e+08 | 1.366968e+08 | 1.408433e+08 | 1.453324e+08 | 1.501331e+08 | 1.551837e+08 | 1.603925e+08 | 1.656895e+08 | 1.710520e+08 | 1.764901e+08 | 1.820058e+08 | 1.876108e+08 | 1.933103e+08 | 1.990938e+08 | 2.049425e+08 | 2.108448e+08 | 2.167874e+08 | 2.247354e+08 | 2.308299e+08 | 2.350372e+08 | 2.412861e+08 | 2.474359e+08 | 2.550297e+08 | 2.608435e+08 | 2.665751e+08 | 2.722351e+08 | 2.779629e+08 | 2.838320e+08 | 2.898504e+08 | 2.960266e+08 | 3.024345e+08 | 3.091620e+08 | 3.162647e+08 | 3.237733e+08 | 3.316538e+08 | 3.398255e+08 | 3.481451e+08 | 3.565089e+08 | 3.648959e+08 | 3.733070e+08 | 3.817021e+08 | 3.900430e+08 | 3.983050e+08 | 4.064527e+08 | 4.144919e+08 |
| 6 | 6 | United Arab Emirates | ARE | Population, total | SP.POP.TOTL | 9.263400e+04 | 1.010780e+05 | 1.124720e+05 | 1.255660e+05 | 1.385290e+05 | 1.503620e+05 | 1.604810e+05 | 1.702830e+05 | 1.831940e+05 | 2.038200e+05 | 2.354990e+05 | 2.788080e+05 | 3.327600e+05 | 3.971740e+05 | 4.713640e+05 | 5.543240e+05 | 6.469430e+05 | 7.481170e+05 | 8.522620e+05 | 9.520400e+05 | 1.042384e+06 | 1.120900e+06 | 1.189545e+06 | 1.253060e+06 | 1.318478e+06 | 1.391052e+06 | 1.472218e+06 | 1.560718e+06 | 1.655849e+06 | 1.756043e+06 | 1.860174e+06 | 1.970026e+06 | 2.086639e+06 | 2.207405e+06 | 2.328686e+06 | 2.448820e+06 | 2.571020e+06 | 2.700010e+06 | 2.838145e+06 | 2.988162e+06 | 3.154925e+06 | 3.326032e+06 | 3.507232e+06 | 3.741932e+06 | 4.087931e+06 | 4.579562e+06 | 5.242032e+06 | 6.044067e+06 | 6.894278e+06 | 7.666393e+06 | 8.270684e+06 | 8.672475e+06 | 8.900453e+06 | 9.006263e+06 | 9.070867e+06 | 9.154302e+06 | 9.269612e+06 | 9.400145e+06 |
| 7 | 7 | Argentina | ARG | Population, total | SP.POP.TOTL | 2.061908e+07 | 2.095308e+07 | 2.128768e+07 | 2.162184e+07 | 2.195393e+07 | 2.228339e+07 | 2.260875e+07 | 2.293220e+07 | 2.326128e+07 | 2.360599e+07 | 2.397306e+07 | 2.436644e+07 | 2.478295e+07 | 2.521339e+07 | 2.564451e+07 | 2.606698e+07 | 2.647715e+07 | 2.687856e+07 | 2.727774e+07 | 2.768453e+07 | 2.810589e+07 | 2.854336e+07 | 2.899399e+07 | 2.945474e+07 | 2.992090e+07 | 3.038878e+07 | 3.085724e+07 | 3.132647e+07 | 3.179552e+07 | 3.226356e+07 | 3.272974e+07 | 3.319392e+07 | 3.365515e+07 | 3.411092e+07 | 3.455812e+07 | 3.499481e+07 | 3.541968e+07 | 3.583397e+07 | 3.624159e+07 | 3.664807e+07 | 3.705745e+07 | 3.747151e+07 | 3.788937e+07 | 3.830938e+07 | 3.872870e+07 | 3.914549e+07 | 3.955889e+07 | 3.997022e+07 | 4.038239e+07 | 4.079941e+07 | 4.122389e+07 | 4.165688e+07 | 4.209674e+07 | 4.253992e+07 | 4.298152e+07 | 4.341776e+07 | 4.384743e+07 | 4.427104e+07 |
| 8 | 8 | Armenia | ARM | Population, total | SP.POP.TOTL | 1.874120e+06 | 1.941491e+06 | 2.009526e+06 | 2.077575e+06 | 2.144998e+06 | 2.211316e+06 | 2.276031e+06 | 2.339124e+06 | 2.401140e+06 | 2.462925e+06 | 2.525065e+06 | 2.587706e+06 | 2.650484e+06 | 2.712781e+06 | 2.773747e+06 | 2.832757e+06 | 2.889579e+06 | 2.944379e+06 | 2.997411e+06 | 3.049105e+06 | 3.099751e+06 | 3.148092e+06 | 3.193686e+06 | 3.238594e+06 | 3.285595e+06 | 3.335935e+06 | 3.392256e+06 | 3.451942e+06 | 3.504651e+06 | 3.536469e+06 | 3.538165e+06 | 3.505251e+06 | 3.442810e+06 | 3.363098e+06 | 3.283660e+06 | 3.217342e+06 | 3.168215e+06 | 3.133086e+06 | 3.108684e+06 | 3.089017e+06 | 3.069588e+06 | 3.050655e+06 | 3.033897e+06 | 3.017806e+06 | 3.000612e+06 | 2.981259e+06 | 2.958500e+06 | 2.933056e+06 | 2.908220e+06 | 2.888584e+06 | 2.877311e+06 | 2.875581e+06 | 2.881922e+06 | 2.893509e+06 | 2.906220e+06 | 2.916950e+06 | 2.924816e+06 | 2.930450e+06 |
| 9 | 9 | American Samoa | ASM | Population, total | SP.POP.TOTL | 2.001300e+04 | 2.048600e+04 | 2.111700e+04 | 2.188200e+04 | 2.269800e+04 | 2.352000e+04 | 2.432100e+04 | 2.511600e+04 | 2.588500e+04 | 2.661400e+04 | 2.729200e+04 | 2.791600e+04 | 2.849200e+04 | 2.901400e+04 | 2.948800e+04 | 2.993200e+04 | 3.032100e+04 | 3.068900e+04 | 3.110200e+04 | 3.167300e+04 | 3.245700e+04 | 3.349300e+04 | 3.473800e+04 | 3.616000e+04 | 3.768800e+04 | 3.924100e+04 | 4.083700e+04 | 4.245000e+04 | 4.404700e+04 | 4.559300e+04 | 4.703800e+04 | 4.837500e+04 | 4.959300e+04 | 5.072000e+04 | 5.180300e+04 | 5.286800e+04 | 5.392900e+04 | 5.494100e+04 | 5.590100e+04 | 5.677000e+04 | 5.752100e+04 | 5.817500e+04 | 5.873100e+04 | 5.911700e+04 | 5.926400e+04 | 5.911800e+04 | 5.865000e+04 | 5.790300e+04 | 5.703000e+04 | 5.622700e+04 | 5.563700e+04 | 5.532000e+04 | 5.523000e+04 | 5.530700e+04 | 5.543700e+04 | 5.553700e+04 | 5.559900e+04 | 5.564100e+04 |
| 10 | 10 | Antigua and Barbuda | ATG | Population, total | SP.POP.TOTL | 5.533900e+04 | 5.614400e+04 | 5.714400e+04 | 5.829400e+04 | 5.952400e+04 | 6.078100e+04 | 6.205900e+04 | 6.336000e+04 | 6.465500e+04 | 6.591000e+04 | 6.709800e+04 | 6.818800e+04 | 6.917600e+04 | 7.006600e+04 | 7.087800e+04 | 7.160900e+04 | 7.228500e+04 | 7.287500e+04 | 7.332400e+04 | 7.352800e+04 | 7.344200e+04 | 7.306600e+04 | 7.244800e+04 | 7.163900e+04 | 7.072500e+04 | 6.978200e+04 | 6.880900e+04 | 6.784500e+04 | 6.705800e+04 | 6.662700e+04 | 6.669600e+04 | 6.730700e+04 | 6.842700e+04 | 6.993800e+04 | 7.171900e+04 | 7.361900e+04 | 7.562800e+04 | 7.773900e+04 | 7.985100e+04 | 8.183100e+04 | 8.358400e+04 | 8.505700e+04 | 8.626600e+04 | 8.729300e+04 | 8.825700e+04 | 8.925300e+04 | 9.030100e+04 | 9.138100e+04 | 9.247800e+04 | 9.358100e+04 | 9.466100e+04 | 9.571900e+04 | 9.677700e+04 | 9.782400e+04 | 9.887500e+04 | 9.992300e+04 | 1.009630e+05 | 1.020120e+05 |
| 11 | 11 | Australia | AUS | Population, total | SP.POP.TOTL | 1.027648e+07 | 1.048300e+07 | 1.074200e+07 | 1.095000e+07 | 1.116700e+07 | 1.138800e+07 | 1.165100e+07 | 1.179900e+07 | 1.200900e+07 | 1.226300e+07 | 1.250700e+07 | 1.293700e+07 | 1.317700e+07 | 1.338000e+07 | 1.372300e+07 | 1.389300e+07 | 1.403300e+07 | 1.419200e+07 | 1.435800e+07 | 1.451400e+07 | 1.469200e+07 | 1.492700e+07 | 1.517800e+07 | 1.536900e+07 | 1.554400e+07 | 1.575800e+07 | 1.601840e+07 | 1.626390e+07 | 1.653220e+07 | 1.681440e+07 | 1.706510e+07 | 1.728400e+07 | 1.749500e+07 | 1.766700e+07 | 1.785500e+07 | 1.807200e+07 | 1.831100e+07 | 1.851700e+07 | 1.871100e+07 | 1.892600e+07 | 1.915300e+07 | 1.941300e+07 | 1.965140e+07 | 1.989540e+07 | 2.012740e+07 | 2.039480e+07 | 2.069790e+07 | 2.082760e+07 | 2.124920e+07 | 2.169170e+07 | 2.203175e+07 | 2.234002e+07 | 2.274248e+07 | 2.314590e+07 | 2.350414e+07 | 2.385078e+07 | 2.421081e+07 | 2.459893e+07 |
| 12 | 12 | Austria | AUT | Population, total | SP.POP.TOTL | 7.047539e+06 | 7.086299e+06 | 7.129864e+06 | 7.175811e+06 | 7.223801e+06 | 7.270889e+06 | 7.322066e+06 | 7.376998e+06 | 7.415403e+06 | 7.441055e+06 | 7.467086e+06 | 7.500482e+06 | 7.544201e+06 | 7.586115e+06 | 7.599038e+06 | 7.578903e+06 | 7.565525e+06 | 7.568430e+06 | 7.562305e+06 | 7.549425e+06 | 7.549433e+06 | 7.568710e+06 | 7.574140e+06 | 7.561910e+06 | 7.561434e+06 | 7.564985e+06 | 7.569794e+06 | 7.574586e+06 | 7.585317e+06 | 7.619567e+06 | 7.677850e+06 | 7.754891e+06 | 7.840709e+06 | 7.905633e+06 | 7.936118e+06 | 7.948278e+06 | 7.959017e+06 | 7.968041e+06 | 7.976789e+06 | 7.992324e+06 | 8.011566e+06 | 8.042293e+06 | 8.081957e+06 | 8.121423e+06 | 8.171966e+06 | 8.227829e+06 | 8.268641e+06 | 8.295487e+06 | 8.321496e+06 | 8.343323e+06 | 8.363404e+06 | 8.391643e+06 | 8.429991e+06 | 8.479823e+06 | 8.546356e+06 | 8.642699e+06 | 8.736668e+06 | 8.809212e+06 |
| 13 | 13 | Azerbaijan | AZE | Population, total | SP.POP.TOTL | 3.895396e+06 | 4.030320e+06 | 4.171425e+06 | 4.315128e+06 | 4.456689e+06 | 4.592610e+06 | 4.721525e+06 | 4.843870e+06 | 4.960235e+06 | 5.071930e+06 | 5.180025e+06 | 5.284532e+06 | 5.385267e+06 | 5.483084e+06 | 5.579077e+06 | 5.674137e+06 | 5.768724e+06 | 5.863134e+06 | 5.957929e+06 | 6.053645e+06 | 6.150738e+06 | 6.249320e+06 | 6.349558e+06 | 6.452076e+06 | 6.557585e+06 | 6.666455e+06 | 6.778633e+06 | 6.893500e+06 | 7.010036e+06 | 7.126891e+06 | 7.159000e+06 | 7.271000e+06 | 7.382000e+06 | 7.495000e+06 | 7.597000e+06 | 7.685000e+06 | 7.763000e+06 | 7.838250e+06 | 7.913000e+06 | 7.982750e+06 | 8.048600e+06 | 8.111200e+06 | 8.171950e+06 | 8.234100e+06 | 8.306500e+06 | 8.391850e+06 | 8.484550e+06 | 8.581300e+06 | 8.763400e+06 | 8.947243e+06 | 9.054332e+06 | 9.173082e+06 | 9.295784e+06 | 9.416801e+06 | 9.535079e+06 | 9.649341e+06 | 9.757812e+06 | 9.862429e+06 |
| 14 | 14 | Burundi | BDI | Population, total | SP.POP.TOTL | 2.786106e+06 | 2.839666e+06 | 2.893669e+06 | 2.949926e+06 | 3.010859e+06 | 3.077876e+06 | 3.152723e+06 | 3.234023e+06 | 3.316233e+06 | 3.391753e+06 | 3.455606e+06 | 3.505391e+06 | 3.544047e+06 | 3.578490e+06 | 3.618585e+06 | 3.671494e+06 | 3.739659e+06 | 3.821194e+06 | 3.913768e+06 | 4.013310e+06 | 4.116817e+06 | 4.223195e+06 | 4.333386e+06 | 4.448728e+06 | 4.571292e+06 | 4.702066e+06 | 4.841565e+06 | 4.987736e+06 | 5.135956e+06 | 5.280024e+06 | 5.415415e+06 | 5.542048e+06 | 5.661139e+06 | 5.771398e+06 | 5.871607e+06 | 5.962058e+06 | 6.041112e+06 | 6.112097e+06 | 6.186352e+06 | 6.278940e+06 | 6.400706e+06 | 6.555829e+06 | 6.741569e+06 | 6.953113e+06 | 7.182451e+06 | 7.423289e+06 | 7.675338e+06 | 7.939573e+06 | 8.212264e+06 | 8.489031e+06 | 8.766930e+06 | 9.043508e+06 | 9.319710e+06 | 9.600186e+06 | 9.891790e+06 | 1.019927e+07 | 1.052412e+07 | 1.086424e+07 |
| 15 | 15 | Belgium | BEL | Population, total | SP.POP.TOTL | 9.153489e+06 | 9.183948e+06 | 9.220578e+06 | 9.289770e+06 | 9.378113e+06 | 9.463667e+06 | 9.527807e+06 | 9.580991e+06 | 9.618756e+06 | 9.646032e+06 | 9.655549e+06 | 9.673162e+06 | 9.711115e+06 | 9.741720e+06 | 9.772419e+06 | 9.800700e+06 | 9.818227e+06 | 9.830358e+06 | 9.839534e+06 | 9.848382e+06 | 9.859242e+06 | 9.858982e+06 | 9.856303e+06 | 9.855520e+06 | 9.855372e+06 | 9.858308e+06 | 9.861823e+06 | 9.870234e+06 | 9.901664e+06 | 9.937697e+06 | 9.967379e+06 | 1.000449e+07 | 1.004516e+07 | 1.008448e+07 | 1.011560e+07 | 1.013681e+07 | 1.015664e+07 | 1.018124e+07 | 1.020301e+07 | 1.022642e+07 | 1.025125e+07 | 1.028657e+07 | 1.033278e+07 | 1.037613e+07 | 1.042114e+07 | 1.047862e+07 | 1.054796e+07 | 1.062570e+07 | 1.070997e+07 | 1.079649e+07 | 1.089559e+07 | 1.104774e+07 | 1.112825e+07 | 1.118282e+07 | 1.120906e+07 | 1.127420e+07 | 1.133142e+07 | 1.137207e+07 |
| 16 | 16 | Benin | BEN | Population, total | SP.POP.TOTL | 2.431622e+06 | 2.465867e+06 | 2.502896e+06 | 2.542859e+06 | 2.585965e+06 | 2.632356e+06 | 2.682159e+06 | 2.735307e+06 | 2.791590e+06 | 2.850661e+06 | 2.912340e+06 | 2.976572e+06 | 3.043567e+06 | 3.113675e+06 | 3.187412e+06 | 3.265165e+06 | 3.347173e+06 | 3.433439e+06 | 3.523938e+06 | 3.618526e+06 | 3.717165e+06 | 3.820128e+06 | 3.927714e+06 | 4.039949e+06 | 4.156819e+06 | 4.278501e+06 | 4.404506e+06 | 4.535263e+06 | 4.672852e+06 | 4.820016e+06 | 4.978496e+06 | 5.149499e+06 | 5.331803e+06 | 5.521763e+06 | 5.714220e+06 | 5.905558e+06 | 6.094259e+06 | 6.281639e+06 | 6.470265e+06 | 6.664098e+06 | 6.865951e+06 | 7.076733e+06 | 7.295394e+06 | 7.520555e+06 | 7.750004e+06 | 7.982225e+06 | 8.216896e+06 | 8.454791e+06 | 8.696916e+06 | 8.944706e+06 | 9.199259e+06 | 9.460802e+06 | 9.729160e+06 | 1.000445e+07 | 1.028671e+07 | 1.057595e+07 | 1.087230e+07 | 1.117569e+07 |
| 17 | 17 | Burkina Faso | BFA | Population, total | SP.POP.TOTL | 4.829288e+06 | 4.894580e+06 | 4.960326e+06 | 5.027821e+06 | 5.098890e+06 | 5.174870e+06 | 5.256363e+06 | 5.343019e+06 | 5.434041e+06 | 5.528174e+06 | 5.624600e+06 | 5.723381e+06 | 5.825173e+06 | 5.930483e+06 | 6.040041e+06 | 6.154545e+06 | 6.274037e+06 | 6.398935e+06 | 6.530819e+06 | 6.671656e+06 | 6.822843e+06 | 6.985160e+06 | 7.158255e+06 | 7.340905e+06 | 7.531242e+06 | 7.727907e+06 | 7.930694e+06 | 8.140073e+06 | 8.356305e+06 | 8.579823e+06 | 8.811034e+06 | 9.050084e+06 | 9.297113e+06 | 9.552476e+06 | 9.816588e+06 | 1.008988e+07 | 1.037274e+07 | 1.066555e+07 | 1.096872e+07 | 1.128270e+07 | 1.160794e+07 | 1.194459e+07 | 1.229310e+07 | 1.265462e+07 | 1.303057e+07 | 1.342193e+07 | 1.382918e+07 | 1.425202e+07 | 1.468973e+07 | 1.514110e+07 | 1.560522e+07 | 1.608190e+07 | 1.657122e+07 | 1.707272e+07 | 1.758598e+07 | 1.811062e+07 | 1.864643e+07 | 1.919338e+07 |
| 18 | 18 | Bangladesh | BGD | Population, total | SP.POP.TOTL | 4.819975e+07 | 4.959280e+07 | 5.103014e+07 | 5.253242e+07 | 5.412910e+07 | 5.583404e+07 | 5.767299e+07 | 5.962067e+07 | 6.157947e+07 | 6.341739e+07 | 6.504777e+07 | 6.642474e+07 | 6.759747e+07 | 6.869118e+07 | 6.988442e+07 | 7.130592e+07 | 7.299914e+07 | 7.492590e+07 | 7.703385e+07 | 7.923678e+07 | 8.147086e+07 | 8.372127e+07 | 8.600733e+07 | 8.833824e+07 | 9.073236e+07 | 9.319986e+07 | 9.574243e+07 | 9.834381e+07 | 1.009753e+08 | 1.035992e+08 | 1.061886e+08 | 1.087274e+08 | 1.112219e+08 | 1.136951e+08 | 1.161823e+08 | 1.187069e+08 | 1.212696e+08 | 1.238546e+08 | 1.264480e+08 | 1.290297e+08 | 1.315812e+08 | 1.341072e+08 | 1.366007e+08 | 1.390190e+08 | 1.413075e+08 | 1.434311e+08 | 1.453680e+08 | 1.471392e+08 | 1.488058e+08 | 1.504547e+08 | 1.521491e+08 | 1.539119e+08 | 1.557271e+08 | 1.575713e+08 | 1.594053e+08 | 1.612009e+08 | 1.629516e+08 | 1.646698e+08 |
| 19 | 19 | Bulgaria | BGR | Population, total | SP.POP.TOTL | 7.867374e+06 | 7.943118e+06 | 8.012946e+06 | 8.078145e+06 | 8.144340e+06 | 8.204168e+06 | 8.258057e+06 | 8.310226e+06 | 8.369603e+06 | 8.434172e+06 | 8.489574e+06 | 8.536395e+06 | 8.576200e+06 | 8.620967e+06 | 8.678745e+06 | 8.720742e+06 | 8.758599e+06 | 8.804183e+06 | 8.814032e+06 | 8.825940e+06 | 8.861535e+06 | 8.891117e+06 | 8.917457e+06 | 8.939738e+06 | 8.960679e+06 | 8.960547e+06 | 8.958171e+06 | 8.971359e+06 | 8.981446e+06 | 8.876972e+06 | 8.718289e+06 | 8.632367e+06 | 8.540164e+06 | 8.472313e+06 | 8.443591e+06 | 8.406067e+06 | 8.362826e+06 | 8.312068e+06 | 8.256786e+06 | 8.210624e+06 | 8.170172e+06 | 8.009142e+06 | 7.837161e+06 | 7.775327e+06 | 7.716860e+06 | 7.658972e+06 | 7.601022e+06 | 7.545338e+06 | 7.492561e+06 | 7.444443e+06 | 7.395599e+06 | 7.348328e+06 | 7.305888e+06 | 7.265115e+06 | 7.223938e+06 | 7.177991e+06 | 7.127822e+06 | 7.075991e+06 |
| 20 | 20 | Bahrain | BHR | Population, total | SP.POP.TOTL | 1.624270e+05 | 1.678940e+05 | 1.731440e+05 | 1.781400e+05 | 1.828870e+05 | 1.874310e+05 | 1.917800e+05 | 1.960630e+05 | 2.006530e+05 | 2.060430e+05 | 2.126050e+05 | 2.203120e+05 | 2.291550e+05 | 2.395270e+05 | 2.519110e+05 | 2.665430e+05 | 2.837520e+05 | 3.031750e+05 | 3.234730e+05 | 3.427980e+05 | 3.598880e+05 | 3.741200e+05 | 3.859500e+05 | 3.964540e+05 | 4.072270e+05 | 4.194300e+05 | 4.334820e+05 | 4.489730e+05 | 4.652020e+05 | 4.810900e+05 | 4.959310e+05 | 5.097650e+05 | 5.230870e+05 | 5.362130e+05 | 5.495880e+05 | 5.636990e+05 | 5.786680e+05 | 5.949300e+05 | 6.137020e+05 | 6.365450e+05 | 6.646140e+05 | 6.975490e+05 | 7.351480e+05 | 7.787110e+05 | 8.298480e+05 | 8.891680e+05 | 9.584140e+05 | 1.035891e+06 | 1.114590e+06 | 1.185029e+06 | 1.240862e+06 | 1.278269e+06 | 1.300217e+06 | 1.315411e+06 | 1.336397e+06 | 1.371855e+06 | 1.425171e+06 | 1.492584e+06 |
| 21 | 21 | Bahamas, The | BHS | Population, total | SP.POP.TOTL | 1.095280e+05 | 1.151080e+05 | 1.210830e+05 | 1.273330e+05 | 1.336980e+05 | 1.400540e+05 | 1.463660e+05 | 1.526090e+05 | 1.586270e+05 | 1.642480e+05 | 1.693540e+05 | 1.738630e+05 | 1.778390e+05 | 1.814880e+05 | 1.850990e+05 | 1.888820e+05 | 1.929020e+05 | 1.971110e+05 | 2.015130e+05 | 2.060320e+05 | 2.106610e+05 | 2.153960e+05 | 2.202750e+05 | 2.251870e+05 | 2.300150e+05 | 2.346870e+05 | 2.391310e+05 | 2.433930e+05 | 2.475790e+05 | 2.518490e+05 | 2.563360e+05 | 2.611160e+05 | 2.661340e+05 | 2.711650e+05 | 2.758950e+05 | 2.801500e+05 | 2.837900e+05 | 2.869700e+05 | 2.900600e+05 | 2.935720e+05 | 2.978900e+05 | 3.031350e+05 | 3.091570e+05 | 3.157460e+05 | 3.225260e+05 | 3.292490e+05 | 3.358300e+05 | 3.423280e+05 | 3.486760e+05 | 3.548560e+05 | 3.608320e+05 | 3.665680e+05 | 3.720390e+05 | 3.772400e+05 | 3.821690e+05 | 3.868380e+05 | 3.912320e+05 | 3.953610e+05 |
| 22 | 22 | Bosnia and Herzegovina | BIH | Population, total | SP.POP.TOTL | 3.225668e+06 | 3.288602e+06 | 3.353226e+06 | 3.417574e+06 | 3.478995e+06 | 3.535640e+06 | 3.586634e+06 | 3.632669e+06 | 3.675452e+06 | 3.717466e+06 | 3.760527e+06 | 3.805285e+06 | 3.851151e+06 | 3.897255e+06 | 3.942223e+06 | 3.985103e+06 | 4.025265e+06 | 4.063191e+06 | 4.100350e+06 | 4.138819e+06 | 4.179855e+06 | 4.222511e+06 | 4.265310e+06 | 4.308106e+06 | 4.350746e+06 | 4.392130e+06 | 4.435504e+06 | 4.478519e+06 | 4.508056e+06 | 4.506653e+06 | 4.463422e+06 | 4.371603e+06 | 4.239154e+06 | 4.087999e+06 | 3.948816e+06 | 3.843712e+06 | 3.780378e+06 | 3.752431e+06 | 3.750485e+06 | 3.759118e+06 | 3.766706e+06 | 3.771284e+06 | 3.775807e+06 | 3.779247e+06 | 3.781287e+06 | 3.781530e+06 | 3.779468e+06 | 3.774000e+06 | 3.763599e+06 | 3.746561e+06 | 3.722084e+06 | 3.688865e+06 | 3.648200e+06 | 3.604999e+06 | 3.566002e+06 | 3.535961e+06 | 3.516816e+06 | 3.507017e+06 |
| 23 | 23 | Belarus | BLR | Population, total | SP.POP.TOTL | 8.198000e+06 | 8.271216e+06 | 8.351928e+06 | 8.437232e+06 | 8.524224e+06 | 8.610000e+06 | 8.696496e+06 | 8.785648e+06 | 8.874552e+06 | 8.960304e+06 | 9.040000e+06 | 9.115576e+06 | 9.188968e+06 | 9.257272e+06 | 9.317584e+06 | 9.367000e+06 | 9.411000e+06 | 9.463000e+06 | 9.525000e+06 | 9.584000e+06 | 9.643000e+06 | 9.710000e+06 | 9.776000e+06 | 9.843000e+06 | 9.910000e+06 | 9.975000e+06 | 1.004300e+07 | 1.011100e+07 | 1.014000e+07 | 1.017000e+07 | 1.018900e+07 | 1.019400e+07 | 1.021600e+07 | 1.023900e+07 | 1.022700e+07 | 1.019400e+07 | 1.016000e+07 | 1.011700e+07 | 1.006900e+07 | 1.002674e+07 | 9.979610e+06 | 9.928549e+06 | 9.865548e+06 | 9.796749e+06 | 9.730146e+06 | 9.663915e+06 | 9.604924e+06 | 9.560953e+06 | 9.527985e+06 | 9.506765e+06 | 9.490583e+06 | 9.473172e+06 | 9.464495e+06 | 9.465997e+06 | 9.474511e+06 | 9.489616e+06 | 9.501534e+06 | 9.507875e+06 |
| 24 | 24 | Belize | BLZ | Population, total | SP.POP.TOTL | 9.206400e+04 | 9.470300e+04 | 9.738400e+04 | 1.001640e+05 | 1.030690e+05 | 1.061190e+05 | 1.093470e+05 | 1.126920e+05 | 1.160610e+05 | 1.192610e+05 | 1.221820e+05 | 1.247930e+05 | 1.271500e+05 | 1.292940e+05 | 1.313070e+05 | 1.332600e+05 | 1.351470e+05 | 1.369890e+05 | 1.389650e+05 | 1.413050e+05 | 1.441550e+05 | 1.475660e+05 | 1.515000e+05 | 1.558220e+05 | 1.603470e+05 | 1.649210e+05 | 1.695680e+05 | 1.743200e+05 | 1.790280e+05 | 1.834690e+05 | 1.875520e+05 | 1.911260e+05 | 1.943170e+05 | 1.976160e+05 | 2.016740e+05 | 2.069630e+05 | 2.136760e+05 | 2.216060e+05 | 2.302840e+05 | 2.390260e+05 | 2.473150e+05 | 2.549840e+05 | 2.622060e+05 | 2.691300e+05 | 2.760890e+05 | 2.832770e+05 | 2.907470e+05 | 2.984070e+05 | 3.061650e+05 | 3.139290e+05 | 3.216080e+05 | 3.291920e+05 | 3.367010e+05 | 3.441810e+05 | 3.516940e+05 | 3.592880e+05 | 3.669540e+05 | 3.746810e+05 |
| 25 | 25 | Bermuda | BMU | Population, total | SP.POP.TOTL | 4.440000e+04 | 4.550000e+04 | 4.660000e+04 | 4.770000e+04 | 4.890000e+04 | 5.010000e+04 | 5.100000e+04 | 5.200000e+04 | 5.300000e+04 | 5.400000e+04 | 5.500000e+04 | 5.460000e+04 | 5.420000e+04 | 5.380000e+04 | 5.340000e+04 | 5.300000e+04 | 5.320000e+04 | 5.340000e+04 | 5.360000e+04 | 5.380000e+04 | 5.467000e+04 | 5.505000e+04 | 5.544900e+04 | 5.593000e+04 | 5.642300e+04 | 5.689800e+04 | 5.738200e+04 | 5.784900e+04 | 5.834700e+04 | 5.884100e+04 | 5.932600e+04 | 5.902100e+04 | 5.859500e+04 | 5.891000e+04 | 5.932000e+04 | 5.974600e+04 | 6.012900e+04 | 6.049700e+04 | 6.094300e+04 | 6.128500e+04 | 6.183300e+04 | 6.250400e+04 | 6.291200e+04 | 6.332500e+04 | 6.374000e+04 | 6.415400e+04 | 6.452300e+04 | 6.488800e+04 | 6.527300e+04 | 6.563600e+04 | 6.512400e+04 | 6.456400e+04 | 6.479800e+04 | 6.500100e+04 | 6.513900e+04 | 6.523900e+04 | 6.534100e+04 | 6.544100e+04 |
| 26 | 26 | Bolivia | BOL | Population, total | SP.POP.TOTL | 3.693449e+06 | 3.764813e+06 | 3.838097e+06 | 3.913395e+06 | 3.990857e+06 | 4.070590e+06 | 4.152668e+06 | 4.237125e+06 | 4.324064e+06 | 4.413590e+06 | 4.505778e+06 | 4.600591e+06 | 4.698083e+06 | 4.798509e+06 | 4.902168e+06 | 5.009257e+06 | 5.119833e+06 | 5.233677e+06 | 5.350322e+06 | 5.469123e+06 | 5.589575e+06 | 5.711599e+06 | 5.835182e+06 | 5.959960e+06 | 6.085496e+06 | 6.211550e+06 | 6.337893e+06 | 6.464732e+06 | 6.592787e+06 | 6.723046e+06 | 6.856244e+06 | 6.992521e+06 | 7.131707e+06 | 7.273825e+06 | 7.418861e+06 | 7.566714e+06 | 7.717443e+06 | 7.870855e+06 | 8.026254e+06 | 8.182712e+06 | 8.339512e+06 | 8.496375e+06 | 8.653345e+06 | 8.810420e+06 | 8.967741e+06 | 9.125409e+06 | 9.283334e+06 | 9.441444e+06 | 9.599855e+06 | 9.758748e+06 | 9.918242e+06 | 1.007834e+07 | 1.023900e+07 | 1.040026e+07 | 1.056216e+07 | 1.072470e+07 | 1.088788e+07 | 1.105160e+07 |
| 27 | 27 | Brazil | BRA | Population, total | SP.POP.TOTL | 7.220755e+07 | 7.435176e+07 | 7.657325e+07 | 7.885402e+07 | 8.116865e+07 | 8.349802e+07 | 8.583780e+07 | 8.819138e+07 | 9.055706e+07 | 9.293507e+07 | 9.532679e+07 | 9.772896e+07 | 1.001436e+08 | 1.025843e+08 | 1.050694e+08 | 1.076121e+08 | 1.102131e+08 | 1.128679e+08 | 1.155777e+08 | 1.183426e+08 | 1.211598e+08 | 1.240309e+08 | 1.269474e+08 | 1.298823e+08 | 1.328007e+08 | 1.356763e+08 | 1.384995e+08 | 1.412735e+08 | 1.440015e+08 | 1.466920e+08 | 1.493521e+08 | 1.519766e+08 | 1.545643e+08 | 1.571327e+08 | 1.597051e+08 | 1.622966e+08 | 1.649133e+08 | 1.675452e+08 | 1.701706e+08 | 1.727592e+08 | 1.752876e+08 | 1.777507e+08 | 1.801510e+08 | 1.824821e+08 | 1.847385e+08 | 1.869174e+08 | 1.890124e+08 | 1.910266e+08 | 1.929790e+08 | 1.948960e+08 | 1.967963e+08 | 1.986867e+08 | 2.005610e+08 | 2.024086e+08 | 2.042131e+08 | 2.059621e+08 | 2.076529e+08 | 2.092883e+08 |
| 28 | 28 | Barbados | BRB | Population, total | SP.POP.TOTL | 2.309390e+05 | 2.316780e+05 | 2.325860e+05 | 2.335870e+05 | 2.345470e+05 | 2.353740e+05 | 2.360440e+05 | 2.366210e+05 | 2.371990e+05 | 2.379130e+05 | 2.388480e+05 | 2.400350e+05 | 2.414410e+05 | 2.429760e+05 | 2.445390e+05 | 2.460340e+05 | 2.474440e+05 | 2.487840e+05 | 2.500320e+05 | 2.511770e+05 | 2.521940e+05 | 2.530800e+05 | 2.538410e+05 | 2.545180e+05 | 2.551930e+05 | 2.559240e+05 | 2.567360e+05 | 2.576110e+05 | 2.585270e+05 | 2.594580e+05 | 2.603740e+05 | 2.612750e+05 | 2.621840e+05 | 2.630890e+05 | 2.640150e+05 | 2.649590e+05 | 2.659420e+05 | 2.669450e+05 | 2.679500e+05 | 2.689220e+05 | 2.698470e+05 | 2.706850e+05 | 2.714780e+05 | 2.722580e+05 | 2.730910e+05 | 2.740090e+05 | 2.750390e+05 | 2.761500e+05 | 2.773190e+05 | 2.784700e+05 | 2.795690e+05 | 2.806010e+05 | 2.815850e+05 | 2.825090e+05 | 2.833850e+05 | 2.842170e+05 | 2.849960e+05 | 2.857190e+05 |
| 29 | 29 | Brunei Darussalam | BRN | Population, total | SP.POP.TOTL | 8.174500e+04 | 8.559600e+04 | 8.951600e+04 | 9.357600e+04 | 9.784800e+04 | 1.024250e+05 | 1.073160e+05 | 1.124940e+05 | 1.179500e+05 | 1.236530e+05 | 1.295830e+05 | 1.357260e+05 | 1.420730e+05 | 1.485600e+05 | 1.551090e+05 | 1.616710e+05 | 1.682240e+05 | 1.747730e+05 | 1.812570e+05 | 1.876560e+05 | 1.939490e+05 | 2.000850e+05 | 2.061280e+05 | 2.121360e+05 | 2.182270e+05 | 2.245120e+05 | 2.309720e+05 | 2.376220e+05 | 2.444580e+05 | 2.515140e+05 | 2.587850e+05 | 2.662740e+05 | 2.739630e+05 | 2.817510e+05 | 2.895250e+05 | 2.971920e+05 | 3.046990e+05 | 3.120380e+05 | 3.192220e+05 | 3.262890e+05 | 3.332410e+05 | 3.401170e+05 | 3.468670e+05 | 3.533890e+05 | 3.595230e+05 | 3.651580e+05 | 3.702500e+05 | 3.748640e+05 | 3.792520e+05 | 3.837720e+05 | 3.886620e+05 | 3.940130e+05 | 3.997480e+05 | 4.057160e+05 | 4.117040e+05 | 4.175420e+05 | 4.231960e+05 | 4.286970e+05 |
| 30 | 30 | Bhutan | BTN | Population, total | SP.POP.TOTL | 2.232880e+05 | 2.289180e+05 | 2.347060e+05 | 2.407780e+05 | 2.473250e+05 | 2.544640e+05 | 2.622440e+05 | 2.706220e+05 | 2.795150e+05 | 2.887740e+05 | 2.983010e+05 | 3.080530e+05 | 3.180450e+05 | 3.283120e+05 | 3.389430e+05 | 3.499820e+05 | 3.614550e+05 | 3.733240e+05 | 3.853840e+05 | 3.973900e+05 | 4.091720e+05 | 4.203800e+05 | 4.310500e+05 | 4.418470e+05 | 4.537200e+05 | 4.671780e+05 | 4.829520e+05 | 5.004370e+05 | 5.172730e+05 | 5.302570e+05 | 5.372800e+05 | 5.372840e+05 | 5.315250e+05 | 5.231170e+05 | 5.165030e+05 | 5.148770e+05 | 5.192820e+05 | 5.287540e+05 | 5.421550e+05 | 5.575430e+05 | 5.734160e+05 | 5.896000e+05 | 6.063990e+05 | 6.234340e+05 | 6.402820e+05 | 6.566390e+05 | 6.722280e+05 | 6.869580e+05 | 7.009500e+05 | 7.144580e+05 | 7.276410e+05 | 7.405100e+05 | 7.529670e+05 | 7.649610e+05 | 7.764480e+05 | 7.873860e+05 | 7.977650e+05 | 8.076100e+05 |
| 31 | 31 | Botswana | BWA | Population, total | SP.POP.TOTL | 5.245520e+05 | 5.372490e+05 | 5.508400e+05 | 5.653530e+05 | 5.807990e+05 | 5.971900e+05 | 6.146130e+05 | 6.331540e+05 | 6.528430e+05 | 6.736400e+05 | 6.955970e+05 | 7.186390e+05 | 7.428350e+05 | 7.685120e+05 | 7.960950e+05 | 8.258400e+05 | 8.578550e+05 | 8.919260e+05 | 9.275850e+05 | 9.641660e+05 | 1.001158e+06 | 1.038397e+06 | 1.075889e+06 | 1.113539e+06 | 1.151292e+06 | 1.189114e+06 | 1.226810e+06 | 1.264314e+06 | 1.301818e+06 | 1.339624e+06 | 1.377912e+06 | 1.416731e+06 | 1.455833e+06 | 1.494693e+06 | 1.532622e+06 | 1.569094e+06 | 1.604060e+06 | 1.637635e+06 | 1.669625e+06 | 1.699862e+06 | 1.728340e+06 | 1.754935e+06 | 1.779953e+06 | 1.804339e+06 | 1.829330e+06 | 1.855852e+06 | 1.884238e+06 | 1.914414e+06 | 1.946351e+06 | 1.979882e+06 | 2.014866e+06 | 2.051339e+06 | 2.089315e+06 | 2.128507e+06 | 2.168573e+06 | 2.209197e+06 | 2.250260e+06 | 2.291661e+06 |
| 32 | 32 | Central African Republic | CAF | Population, total | SP.POP.TOTL | 1.503508e+06 | 1.529227e+06 | 1.556661e+06 | 1.585763e+06 | 1.616516e+06 | 1.648833e+06 | 1.682885e+06 | 1.718603e+06 | 1.755344e+06 | 1.792220e+06 | 1.828709e+06 | 1.864598e+06 | 1.900317e+06 | 1.936841e+06 | 1.975521e+06 | 2.017372e+06 | 2.062405e+06 | 2.110457e+06 | 2.162249e+06 | 2.218575e+06 | 2.279821e+06 | 2.346797e+06 | 2.418844e+06 | 2.493135e+06 | 2.565803e+06 | 2.634232e+06 | 2.696982e+06 | 2.755244e+06 | 2.812244e+06 | 2.872668e+06 | 2.939780e+06 | 3.014624e+06 | 3.095807e+06 | 3.181222e+06 | 3.267670e+06 | 3.352767e+06 | 3.435821e+06 | 3.517309e+06 | 3.597385e+06 | 3.676508e+06 | 3.754986e+06 | 3.832203e+06 | 3.907612e+06 | 3.981665e+06 | 4.055036e+06 | 4.127910e+06 | 4.201758e+06 | 4.275800e+06 | 4.345386e+06 | 4.404230e+06 | 4.448525e+06 | 4.476153e+06 | 4.490416e+06 | 4.499653e+06 | 4.515392e+06 | 4.546100e+06 | 4.594621e+06 | 4.659080e+06 |
| 33 | 33 | Canada | CAN | Population, total | SP.POP.TOTL | 1.790901e+07 | 1.827100e+07 | 1.861400e+07 | 1.896400e+07 | 1.932500e+07 | 1.967800e+07 | 2.004800e+07 | 2.041200e+07 | 2.074400e+07 | 2.102800e+07 | 2.132400e+07 | 2.164554e+07 | 2.199363e+07 | 2.236941e+07 | 2.277409e+07 | 2.320900e+07 | 2.351800e+07 | 2.379600e+07 | 2.403600e+07 | 2.427700e+07 | 2.459300e+07 | 2.490000e+07 | 2.520200e+07 | 2.545600e+07 | 2.570200e+07 | 2.594200e+07 | 2.620400e+07 | 2.655000e+07 | 2.689500e+07 | 2.737900e+07 | 2.779100e+07 | 2.817168e+07 | 2.851960e+07 | 2.883341e+07 | 2.911191e+07 | 2.935400e+07 | 2.967190e+07 | 2.998720e+07 | 3.024790e+07 | 3.049920e+07 | 3.076970e+07 | 3.108190e+07 | 3.136200e+07 | 3.167600e+07 | 3.199500e+07 | 3.231200e+07 | 3.257050e+07 | 3.288793e+07 | 3.324577e+07 | 3.362857e+07 | 3.400527e+07 | 3.434278e+07 | 3.475054e+07 | 3.515237e+07 | 3.553535e+07 | 3.583251e+07 | 3.626460e+07 | 3.670808e+07 |
| 34 | 34 | Central Europe and the Baltics | CEB | Population, total | SP.POP.TOTL | 9.140158e+07 | 9.223712e+07 | 9.301489e+07 | 9.384575e+07 | 9.472260e+07 | 9.544706e+07 | 9.614864e+07 | 9.704359e+07 | 9.788239e+07 | 9.860214e+07 | 9.913330e+07 | 9.963898e+07 | 1.003636e+08 | 1.011205e+08 | 1.019463e+08 | 1.028625e+08 | 1.037701e+08 | 1.045893e+08 | 1.053043e+08 | 1.059248e+08 | 1.065649e+08 | 1.071880e+08 | 1.077708e+08 | 1.083269e+08 | 1.088532e+08 | 1.093603e+08 | 1.098471e+08 | 1.102967e+08 | 1.106885e+08 | 1.108014e+08 | 1.107458e+08 | 1.102904e+08 | 1.100056e+08 | 1.100815e+08 | 1.100196e+08 | 1.099132e+08 | 1.095631e+08 | 1.094591e+08 | 1.092072e+08 | 1.091024e+08 | 1.084055e+08 | 1.078004e+08 | 1.070976e+08 | 1.067608e+08 | 1.064661e+08 | 1.061738e+08 | 1.059013e+08 | 1.055045e+08 | 1.051267e+08 | 1.049244e+08 | 1.045438e+08 | 1.041740e+08 | 1.039353e+08 | 1.037137e+08 | 1.034962e+08 | 1.032578e+08 | 1.029943e+08 | 1.027271e+08 |
| 35 | 35 | Switzerland | CHE | Population, total | SP.POP.TOTL | 5.327827e+06 | 5.434294e+06 | 5.573815e+06 | 5.694247e+06 | 5.789228e+06 | 5.856472e+06 | 5.918002e+06 | 5.991785e+06 | 6.067714e+06 | 6.136387e+06 | 6.180877e+06 | 6.213399e+06 | 6.260956e+06 | 6.307347e+06 | 6.341405e+06 | 6.338632e+06 | 6.302504e+06 | 6.281174e+06 | 6.281738e+06 | 6.294365e+06 | 6.319408e+06 | 6.354074e+06 | 6.391309e+06 | 6.418773e+06 | 6.441865e+06 | 6.470365e+06 | 6.504124e+06 | 6.545106e+06 | 6.593386e+06 | 6.646912e+06 | 6.715519e+06 | 6.799978e+06 | 6.875364e+06 | 6.938265e+06 | 6.993795e+06 | 7.040687e+06 | 7.071850e+06 | 7.088906e+06 | 7.110001e+06 | 7.143991e+06 | 7.184250e+06 | 7.229854e+06 | 7.284753e+06 | 7.339001e+06 | 7.389625e+06 | 7.437115e+06 | 7.483934e+06 | 7.551117e+06 | 7.647675e+06 | 7.743831e+06 | 7.824909e+06 | 7.912398e+06 | 7.996861e+06 | 8.089346e+06 | 8.188649e+06 | 8.282396e+06 | 8.373338e+06 | 8.466017e+06 |
| 36 | 36 | Channel Islands | CHI | Population, total | SP.POP.TOTL | 1.094200e+05 | 1.103990e+05 | 1.114570e+05 | 1.125950e+05 | 1.137730e+05 | 1.149950e+05 | 1.162270e+05 | 1.174740e+05 | 1.187260e+05 | 1.199720e+05 | 1.211970e+05 | 1.224130e+05 | 1.236140e+05 | 1.247250e+05 | 1.256820e+05 | 1.264150e+05 | 1.269020e+05 | 1.271830e+05 | 1.273900e+05 | 1.276920e+05 | 1.282120e+05 | 1.289810e+05 | 1.299790e+05 | 1.311560e+05 | 1.324530e+05 | 1.338080e+05 | 1.352300e+05 | 1.367160e+05 | 1.381870e+05 | 1.395300e+05 | 1.406710e+05 | 1.415680e+05 | 1.422580e+05 | 1.428190e+05 | 1.433840e+05 | 1.440460e+05 | 1.448290e+05 | 1.457150e+05 | 1.466710e+05 | 1.476870e+05 | 1.487250e+05 | 1.497930e+05 | 1.509010e+05 | 1.520380e+05 | 1.531700e+05 | 1.542940e+05 | 1.554110e+05 | 1.565130e+05 | 1.575810e+05 | 1.586030e+05 | 1.595810e+05 | 1.604970e+05 | 1.613580e+05 | 1.621800e+05 | 1.629690e+05 | 1.637580e+05 | 1.645410e+05 | 1.653140e+05 |
| 37 | 37 | Chile | CHL | Population, total | SP.POP.TOTL | 7.716625e+06 | 7.890156e+06 | 8.067136e+06 | 8.247415e+06 | 8.430838e+06 | 8.617077e+06 | 8.806137e+06 | 8.997325e+06 | 9.188822e+06 | 9.378243e+06 | 9.563865e+06 | 9.745189e+06 | 9.922558e+06 | 1.009630e+07 | 1.026706e+07 | 1.043553e+07 | 1.060184e+07 | 1.076642e+07 | 1.093078e+07 | 1.109687e+07 | 1.126623e+07 | 1.143914e+07 | 1.161584e+07 | 1.179753e+07 | 1.198566e+07 | 1.218103e+07 | 1.238411e+07 | 1.259414e+07 | 1.280902e+07 | 1.302580e+07 | 1.324213e+07 | 1.345724e+07 | 1.367103e+07 | 1.388267e+07 | 1.409139e+07 | 1.429661e+07 | 1.449783e+07 | 1.469484e+07 | 1.488776e+07 | 1.507695e+07 | 1.526275e+07 | 1.544497e+07 | 1.562364e+07 | 1.579954e+07 | 1.597378e+07 | 1.614706e+07 | 1.631979e+07 | 1.649169e+07 | 1.666194e+07 | 1.682944e+07 | 1.699335e+07 | 1.715336e+07 | 1.730975e+07 | 1.746298e+07 | 1.761380e+07 | 1.776268e+07 | 1.790975e+07 | 1.805473e+07 |
| 38 | 38 | China | CHN | Population, total | SP.POP.TOTL | 6.670700e+08 | 6.603300e+08 | 6.657700e+08 | 6.823350e+08 | 6.983550e+08 | 7.151850e+08 | 7.354000e+08 | 7.545500e+08 | 7.745100e+08 | 7.960250e+08 | 8.183150e+08 | 8.411050e+08 | 8.620300e+08 | 8.819400e+08 | 9.003500e+08 | 9.163950e+08 | 9.306850e+08 | 9.434550e+08 | 9.561650e+08 | 9.690050e+08 | 9.812350e+08 | 9.938850e+08 | 1.008630e+09 | 1.023310e+09 | 1.036825e+09 | 1.051040e+09 | 1.066790e+09 | 1.084035e+09 | 1.101630e+09 | 1.118650e+09 | 1.135185e+09 | 1.150780e+09 | 1.164970e+09 | 1.178440e+09 | 1.191835e+09 | 1.204855e+09 | 1.217550e+09 | 1.230075e+09 | 1.241935e+09 | 1.252735e+09 | 1.262645e+09 | 1.271850e+09 | 1.280400e+09 | 1.288400e+09 | 1.296075e+09 | 1.303720e+09 | 1.311020e+09 | 1.317885e+09 | 1.324655e+09 | 1.331260e+09 | 1.337705e+09 | 1.344130e+09 | 1.350695e+09 | 1.357380e+09 | 1.364270e+09 | 1.371220e+09 | 1.378665e+09 | 1.386395e+09 |
| 39 | 39 | Cote d'Ivoire | CIV | Population, total | SP.POP.TOTL | 3.558988e+06 | 3.694205e+06 | 3.841071e+06 | 3.996941e+06 | 4.157965e+06 | 4.321791e+06 | 4.487204e+06 | 4.656353e+06 | 4.834279e+06 | 5.027971e+06 | 5.242395e+06 | 5.479338e+06 | 5.737281e+06 | 6.013862e+06 | 6.305287e+06 | 6.608609e+06 | 6.922982e+06 | 7.248828e+06 | 7.585914e+06 | 7.934279e+06 | 8.293675e+06 | 8.664057e+06 | 9.044473e+06 | 9.432731e+06 | 9.826055e+06 | 1.022256e+07 | 1.062027e+07 | 1.101965e+07 | 1.142426e+07 | 1.183924e+07 | 1.226775e+07 | 1.271001e+07 | 1.316302e+07 | 1.362273e+07 | 1.408361e+07 | 1.454082e+07 | 1.499525e+07 | 1.544599e+07 | 1.588455e+07 | 1.630023e+07 | 1.668656e+07 | 1.704015e+07 | 1.736652e+07 | 1.767936e+07 | 1.799774e+07 | 1.833630e+07 | 1.869944e+07 | 1.908594e+07 | 1.949799e+07 | 1.993637e+07 | 2.040133e+07 | 2.089531e+07 | 2.141860e+07 | 2.196631e+07 | 2.253135e+07 | 2.310847e+07 | 2.369592e+07 | 2.429475e+07 |
| 40 | 40 | Cameroon | CMR | Population, total | SP.POP.TOTL | 5.176268e+06 | 5.285231e+06 | 5.399922e+06 | 5.520332e+06 | 5.646316e+06 | 5.777834e+06 | 5.915123e+06 | 6.058539e+06 | 6.208282e+06 | 6.364569e+06 | 6.527635e+06 | 6.697745e+06 | 6.875228e+06 | 7.060603e+06 | 7.254468e+06 | 7.457362e+06 | 7.669445e+06 | 7.890969e+06 | 8.122529e+06 | 8.364835e+06 | 8.618354e+06 | 8.883016e+06 | 9.158566e+06 | 9.445003e+06 | 9.742263e+06 | 1.005002e+07 | 1.036830e+07 | 1.069627e+07 | 1.103182e+07 | 1.137216e+07 | 1.171522e+07 | 1.206073e+07 | 1.240893e+07 | 1.275888e+07 | 1.310966e+07 | 1.346099e+07 | 1.381247e+07 | 1.416542e+07 | 1.452357e+07 | 1.489189e+07 | 1.527423e+07 | 1.567193e+07 | 1.608489e+07 | 1.651382e+07 | 1.695908e+07 | 1.742080e+07 | 1.789956e+07 | 1.839539e+07 | 1.890701e+07 | 1.943254e+07 | 1.997050e+07 | 2.052045e+07 | 2.108238e+07 | 2.165572e+07 | 2.223990e+07 | 2.283452e+07 | 2.343919e+07 | 2.405373e+07 |
| 41 | 41 | Congo, Dem. Rep. | COD | Population, total | SP.POP.TOTL | 1.524825e+07 | 1.563773e+07 | 1.604126e+07 | 1.646193e+07 | 1.690392e+07 | 1.736988e+07 | 1.786188e+07 | 1.837821e+07 | 1.891320e+07 | 1.945890e+07 | 2.000994e+07 | 2.056286e+07 | 2.112014e+07 | 2.168924e+07 | 2.228092e+07 | 2.290232e+07 | 2.355907e+07 | 2.424755e+07 | 2.495466e+07 | 2.566188e+07 | 2.635746e+07 | 2.703947e+07 | 2.771734e+07 | 2.840488e+07 | 2.912147e+07 | 2.988345e+07 | 3.068582e+07 | 3.152982e+07 | 3.244416e+07 | 3.346544e+07 | 3.461458e+07 | 3.591482e+07 | 3.734615e+07 | 3.883360e+07 | 4.027370e+07 | 4.159574e+07 | 4.277054e+07 | 4.383015e+07 | 4.484053e+07 | 4.589867e+07 | 4.707639e+07 | 4.839434e+07 | 4.983576e+07 | 5.139003e+07 | 5.303422e+07 | 5.475148e+07 | 5.654301e+07 | 5.841756e+07 | 6.037361e+07 | 6.240944e+07 | 6.452326e+07 | 6.671360e+07 | 6.897868e+07 | 7.131603e+07 | 7.372286e+07 | 7.619662e+07 | 7.873615e+07 | 8.133999e+07 |
| 42 | 42 | Congo, Rep. | COG | Population, total | SP.POP.TOTL | 1.037220e+06 | 1.064111e+06 | 1.092292e+06 | 1.121735e+06 | 1.152412e+06 | 1.184316e+06 | 1.217391e+06 | 1.251703e+06 | 1.287516e+06 | 1.325147e+06 | 1.364812e+06 | 1.406643e+06 | 1.450518e+06 | 1.496047e+06 | 1.542690e+06 | 1.590039e+06 | 1.637941e+06 | 1.686524e+06 | 1.736099e+06 | 1.787129e+06 | 1.839935e+06 | 1.894676e+06 | 1.951195e+06 | 2.009165e+06 | 2.068132e+06 | 2.127770e+06 | 2.188046e+06 | 2.249146e+06 | 2.311348e+06 | 2.375008e+06 | 2.440457e+06 | 2.507772e+06 | 2.577035e+06 | 2.648507e+06 | 2.722497e+06 | 2.799255e+06 | 2.879222e+06 | 2.962470e+06 | 3.048453e+06 | 3.136344e+06 | 3.225727e+06 | 3.315806e+06 | 3.407180e+06 | 3.502519e+06 | 3.605439e+06 | 3.718243e+06 | 3.842365e+06 | 3.976246e+06 | 4.115435e+06 | 4.253712e+06 | 4.386693e+06 | 4.512730e+06 | 4.633363e+06 | 4.751393e+06 | 4.871101e+06 | 4.995648e+06 | 5.125821e+06 | 5.260750e+06 |
| 43 | 43 | Colombia | COL | Population, total | SP.POP.TOTL | 1.648038e+07 | 1.698232e+07 | 1.750017e+07 | 1.803355e+07 | 1.858197e+07 | 1.914422e+07 | 1.972146e+07 | 2.031137e+07 | 2.090506e+07 | 2.149094e+07 | 2.206122e+07 | 2.261199e+07 | 2.314680e+07 | 2.367450e+07 | 2.420802e+07 | 2.475697e+07 | 2.532341e+07 | 2.590513e+07 | 2.650217e+07 | 2.711351e+07 | 2.773790e+07 | 2.837599e+07 | 2.902716e+07 | 2.968709e+07 | 3.035009e+07 | 3.101169e+07 | 3.166978e+07 | 3.232432e+07 | 3.297554e+07 | 3.362444e+07 | 3.427156e+07 | 3.491677e+07 | 3.555868e+07 | 3.619517e+07 | 3.682354e+07 | 3.744198e+07 | 3.804904e+07 | 3.864541e+07 | 3.923406e+07 | 3.981928e+07 | 4.040396e+07 | 4.098891e+07 | 4.157249e+07 | 4.215215e+07 | 4.272416e+07 | 4.328563e+07 | 4.383572e+07 | 4.437457e+07 | 4.490154e+07 | 4.541618e+07 | 4.591810e+07 | 4.640665e+07 | 4.688148e+07 | 4.734298e+07 | 4.779191e+07 | 4.822870e+07 | 4.865342e+07 | 4.906562e+07 |
| 44 | 44 | Comoros | COM | Population, total | SP.POP.TOTL | 1.911210e+05 | 1.941390e+05 | 1.971980e+05 | 2.003720e+05 | 2.037530e+05 | 2.074240e+05 | 2.114780e+05 | 2.158970e+05 | 2.205750e+05 | 2.253250e+05 | 2.300540e+05 | 2.346440e+05 | 2.392350e+05 | 2.442080e+05 | 2.501040e+05 | 2.572900e+05 | 2.659530e+05 | 2.759000e+05 | 2.866340e+05 | 2.974470e+05 | 3.078290e+05 | 3.176060e+05 | 3.269460e+05 | 3.360960e+05 | 3.454660e+05 | 3.553370e+05 | 3.657600e+05 | 3.766540e+05 | 3.879630e+05 | 3.996320e+05 | 4.115940e+05 | 4.238720e+05 | 4.364480e+05 | 4.492740e+05 | 4.622770e+05 | 4.753940e+05 | 4.886270e+05 | 5.019530e+05 | 5.153850e+05 | 5.288480e+05 | 5.423570e+05 | 5.558880e+05 | 5.694790e+05 | 5.832110e+05 | 5.972280e+05 | 6.116270e+05 | 6.264250e+05 | 6.416200e+05 | 6.572290e+05 | 6.732520e+05 | 6.896920e+05 | 7.065690e+05 | 7.238680e+05 | 7.415000e+05 | 7.593850e+05 | 7.774240e+05 | 7.956010e+05 | 8.139120e+05 |
| 45 | 45 | Cabo Verde | CPV | Population, total | SP.POP.TOTL | 2.023100e+05 | 2.059560e+05 | 2.108670e+05 | 2.169080e+05 | 2.238460e+05 | 2.314280e+05 | 2.397700e+05 | 2.487470e+05 | 2.575090e+05 | 2.649090e+05 | 2.701980e+05 | 2.729920e+05 | 2.736510e+05 | 2.730050e+05 | 2.722920e+05 | 2.724230e+05 | 2.736520e+05 | 2.757670e+05 | 2.787390e+05 | 2.824150e+05 | 2.866570e+05 | 2.916020e+05 | 2.972850e+05 | 3.033680e+05 | 3.093970e+05 | 3.150690e+05 | 3.201830e+05 | 3.248930e+05 | 3.296710e+05 | 3.351840e+05 | 3.418830e+05 | 3.499340e+05 | 3.590900e+05 | 3.690140e+05 | 3.791560e+05 | 3.891270e+05 | 3.987730e+05 | 4.081750e+05 | 4.173230e+05 | 4.262850e+05 | 4.350790e+05 | 4.437160e+05 | 4.521060e+05 | 4.601470e+05 | 4.676640e+05 | 4.745670e+05 | 4.807950e+05 | 4.864380e+05 | 4.917230e+05 | 4.969630e+05 | 5.023840e+05 | 5.080670e+05 | 5.139790e+05 | 5.201060e+05 | 5.264370e+05 | 5.329130e+05 | 5.395600e+05 | 5.463880e+05 |
| 46 | 46 | Costa Rica | CRI | Population, total | SP.POP.TOTL | 1.333040e+06 | 1.381917e+06 | 1.432585e+06 | 1.484510e+06 | 1.537041e+06 | 1.589621e+06 | 1.642186e+06 | 1.694710e+06 | 1.746869e+06 | 1.798311e+06 | 1.848866e+06 | 1.898360e+06 | 1.947048e+06 | 1.995743e+06 | 2.045580e+06 | 2.097407e+06 | 2.151497e+06 | 2.207725e+06 | 2.266154e+06 | 2.326704e+06 | 2.389310e+06 | 2.454129e+06 | 2.521168e+06 | 2.589930e+06 | 2.659781e+06 | 2.730233e+06 | 2.800986e+06 | 2.872211e+06 | 2.944557e+06 | 3.018955e+06 | 3.095995e+06 | 3.175649e+06 | 3.257466e+06 | 3.341004e+06 | 3.425690e+06 | 3.510926e+06 | 3.596732e+06 | 3.682725e+06 | 3.767373e+06 | 3.848723e+06 | 3.925443e+06 | 3.996798e+06 | 4.063204e+06 | 4.125971e+06 | 4.187038e+06 | 4.247841e+06 | 4.308794e+06 | 4.369469e+06 | 4.429508e+06 | 4.488263e+06 | 4.545280e+06 | 4.600474e+06 | 4.654122e+06 | 4.706401e+06 | 4.757575e+06 | 4.807852e+06 | 4.857274e+06 | 4.905769e+06 |
| 47 | 47 | Caribbean small states | CSS | Population, total | SP.POP.TOTL | 4.198307e+06 | 4.277802e+06 | 4.357746e+06 | 4.436804e+06 | 4.513246e+06 | 4.585777e+06 | 4.653919e+06 | 4.718167e+06 | 4.779624e+06 | 4.839881e+06 | 4.900059e+06 | 4.960647e+06 | 5.021359e+06 | 5.082049e+06 | 5.142246e+06 | 5.201705e+06 | 5.260062e+06 | 5.317542e+06 | 5.375393e+06 | 5.435143e+06 | 5.497756e+06 | 5.564200e+06 | 5.633661e+06 | 5.702754e+06 | 5.766957e+06 | 5.823242e+06 | 5.870023e+06 | 5.908886e+06 | 5.943661e+06 | 5.979907e+06 | 6.021614e+06 | 6.070204e+06 | 6.124265e+06 | 6.181538e+06 | 6.238576e+06 | 6.292827e+06 | 6.343683e+06 | 6.392040e+06 | 6.438587e+06 | 6.484510e+06 | 6.530691e+06 | 6.577216e+06 | 6.623792e+06 | 6.670276e+06 | 6.716373e+06 | 6.761932e+06 | 6.806838e+06 | 6.851221e+06 | 6.895315e+06 | 6.939534e+06 | 6.984096e+06 | 7.029022e+06 | 7.074129e+06 | 7.118888e+06 | 7.162679e+06 | 7.204948e+06 | 7.245472e+06 | 7.284294e+06 |
| 48 | 48 | Cuba | CUB | Population, total | SP.POP.TOTL | 7.141135e+06 | 7.289826e+06 | 7.450402e+06 | 7.618354e+06 | 7.787146e+06 | 7.951933e+06 | 8.110430e+06 | 8.263546e+06 | 8.413327e+06 | 8.563193e+06 | 8.715123e+06 | 8.869961e+06 | 9.025300e+06 | 9.176052e+06 | 9.315373e+06 | 9.438442e+06 | 9.544271e+06 | 9.634680e+06 | 9.711392e+06 | 9.777290e+06 | 9.835177e+06 | 9.884213e+06 | 9.925623e+06 | 9.966733e+06 | 1.001706e+07 | 1.008299e+07 | 1.016809e+07 | 1.026957e+07 | 1.037955e+07 | 1.048651e+07 | 1.058208e+07 | 1.066358e+07 | 1.073336e+07 | 1.079414e+07 | 1.085058e+07 | 1.090604e+07 | 1.096101e+07 | 1.101398e+07 | 1.106410e+07 | 1.111000e+07 | 1.115074e+07 | 1.118654e+07 | 1.121800e+07 | 1.124488e+07 | 1.126694e+07 | 1.128425e+07 | 1.129623e+07 | 1.130369e+07 | 1.130975e+07 | 1.131860e+07 | 1.133305e+07 | 1.135465e+07 | 1.138215e+07 | 1.141217e+07 | 1.143977e+07 | 1.146143e+07 | 1.147598e+07 | 1.148464e+07 |
| 49 | 49 | Curacao | CUW | Population, total | SP.POP.TOTL | 1.248260e+05 | 1.261250e+05 | 1.284140e+05 | 1.308600e+05 | 1.331480e+05 | 1.352660e+05 | 1.366820e+05 | 1.381400e+05 | 1.402980e+05 | 1.425810e+05 | 1.447390e+05 | 1.473890e+05 | 1.477100e+05 | 1.469120e+05 | 1.483510e+05 | 1.491290e+05 | 1.493990e+05 | 1.494590e+05 | 1.483410e+05 | 1.478510e+05 | 1.480410e+05 | 1.486290e+05 | 1.501010e+05 | 1.511590e+05 | 1.519400e+05 | 1.527110e+05 | 1.526620e+05 | 1.514560e+05 | 1.492540e+05 | 1.469370e+05 | 1.454000e+05 | 1.444030e+05 | 1.439120e+05 | 1.442990e+05 | 1.446300e+05 | 1.451390e+05 | 1.463060e+05 | 1.469560e+05 | 1.444720e+05 | 1.394280e+05 | 1.338600e+05 | 1.290470e+05 | 1.292050e+05 | 1.318970e+05 | 1.341920e+05 | 1.376580e+05 | 1.412390e+05 | 1.440560e+05 | 1.458800e+05 | 1.468330e+05 | 1.487030e+05 | 1.508310e+05 | 1.520880e+05 | 1.538220e+05 | 1.559090e+05 | 1.579800e+05 | 1.596630e+05 | 1.610140e+05 |
| 50 | 50 | Cayman Islands | CYM | Population, total | SP.POP.TOTL | 7.865000e+03 | 8.026000e+03 | 8.146000e+03 | 8.227000e+03 | 8.298000e+03 | 8.369000e+03 | 8.441000e+03 | 8.521000e+03 | 8.631000e+03 | 8.827000e+03 | 9.144000e+03 | 9.581000e+03 | 1.013600e+04 | 1.078400e+04 | 1.149800e+04 | 1.224400e+04 | 1.302200e+04 | 1.384100e+04 | 1.466100e+04 | 1.544400e+04 | 1.616200e+04 | 1.678900e+04 | 1.735600e+04 | 1.790600e+04 | 1.854300e+04 | 1.931300e+04 | 2.025100e+04 | 2.133900e+04 | 2.253800e+04 | 2.377600e+04 | 2.501000e+04 | 2.621300e+04 | 2.740400e+04 | 2.864600e+04 | 3.005500e+04 | 3.167200e+04 | 3.353600e+04 | 3.559700e+04 | 3.774000e+04 | 3.980800e+04 | 4.168700e+04 | 4.331600e+04 | 4.473800e+04 | 4.602800e+04 | 4.729900e+04 | 4.862200e+04 | 5.003100e+04 | 5.148300e+04 | 5.292600e+04 | 5.427900e+04 | 5.550700e+04 | 5.657900e+04 | 5.752300e+04 | 5.837100e+04 | 5.917200e+04 | 5.996300e+04 | 6.076500e+04 | 6.155900e+04 |
| 51 | 51 | Cyprus | CYP | Population, total | SP.POP.TOTL | 5.729300e+05 | 5.763950e+05 | 5.776910e+05 | 5.779130e+05 | 5.786270e+05 | 5.809660e+05 | 5.853080e+05 | 5.913080e+05 | 5.984930e+05 | 6.061130e+05 | 6.136210e+05 | 6.208590e+05 | 6.280020e+05 | 6.351110e+05 | 6.423390e+05 | 6.497550e+05 | 6.575340e+05 | 6.655280e+05 | 6.732510e+05 | 6.800110e+05 | 6.854060e+05 | 6.891730e+05 | 6.917020e+05 | 6.940770e+05 | 6.977170e+05 | 7.036870e+05 | 7.123410e+05 | 7.233800e+05 | 7.364790e+05 | 7.510440e+05 | 7.666140e+05 | 7.831290e+05 | 8.006090e+05 | 8.187510e+05 | 8.371100e+05 | 8.553840e+05 | 8.734230e+05 | 8.911920e+05 | 9.087040e+05 | 9.260500e+05 | 9.432860e+05 | 9.602820e+05 | 9.769660e+05 | 9.935630e+05 | 1.010410e+06 | 1.027658e+06 | 1.045509e+06 | 1.063712e+06 | 1.081563e+06 | 1.098076e+06 | 1.112607e+06 | 1.124835e+06 | 1.135062e+06 | 1.143896e+06 | 1.152309e+06 | 1.160985e+06 | 1.170125e+06 | 1.179551e+06 |
| 52 | 52 | Czech Republic | CZE | Population, total | SP.POP.TOTL | 9.602006e+06 | 9.586651e+06 | 9.624660e+06 | 9.670685e+06 | 9.727804e+06 | 9.779358e+06 | 9.821040e+06 | 9.852899e+06 | 9.876346e+06 | 9.896580e+06 | 9.858071e+06 | 9.826815e+06 | 9.867632e+06 | 9.922266e+06 | 9.988459e+06 | 1.005862e+07 | 1.012594e+07 | 1.018676e+07 | 1.024210e+07 | 1.029234e+07 | 1.030419e+07 | 1.030059e+07 | 1.031483e+07 | 1.032386e+07 | 1.033021e+07 | 1.033712e+07 | 1.034223e+07 | 1.034732e+07 | 1.035528e+07 | 1.036107e+07 | 1.033336e+07 | 1.030858e+07 | 1.031912e+07 | 1.032986e+07 | 1.033359e+07 | 1.032725e+07 | 1.031524e+07 | 1.030413e+07 | 1.029437e+07 | 1.028386e+07 | 1.025506e+07 | 1.021660e+07 | 1.019692e+07 | 1.019400e+07 | 1.019710e+07 | 1.021122e+07 | 1.023890e+07 | 1.029883e+07 | 1.038460e+07 | 1.044394e+07 | 1.047441e+07 | 1.049609e+07 | 1.051078e+07 | 1.051427e+07 | 1.052535e+07 | 1.054606e+07 | 1.056633e+07 | 1.059132e+07 |
| 53 | 53 | Germany | DEU | Population, total | SP.POP.TOTL | 7.281490e+07 | 7.337763e+07 | 7.402578e+07 | 7.471435e+07 | 7.531834e+07 | 7.596370e+07 | 7.660031e+07 | 7.695134e+07 | 7.729431e+07 | 7.790968e+07 | 7.816929e+07 | 7.831284e+07 | 7.868845e+07 | 7.893667e+07 | 7.896743e+07 | 7.867355e+07 | 7.833695e+07 | 7.815981e+07 | 7.809182e+07 | 7.812635e+07 | 7.828858e+07 | 7.840791e+07 | 7.833337e+07 | 7.812828e+07 | 7.785868e+07 | 7.768487e+07 | 7.772044e+07 | 7.783992e+07 | 7.814462e+07 | 7.875128e+07 | 7.943303e+07 | 8.001390e+07 | 8.062460e+07 | 8.115636e+07 | 8.143835e+07 | 8.167805e+07 | 8.191483e+07 | 8.203477e+07 | 8.204720e+07 | 8.210024e+07 | 8.221151e+07 | 8.234992e+07 | 8.248850e+07 | 8.253418e+07 | 8.251626e+07 | 8.246942e+07 | 8.237645e+07 | 8.226637e+07 | 8.211010e+07 | 8.190231e+07 | 8.177693e+07 | 8.027498e+07 | 8.042582e+07 | 8.064560e+07 | 8.098250e+07 | 8.168661e+07 | 8.234867e+07 | 8.269500e+07 |
| 54 | 54 | Djibouti | DJI | Population, total | SP.POP.TOTL | 8.363600e+04 | 8.849800e+04 | 9.420400e+04 | 1.006280e+05 | 1.075830e+05 | 1.149630e+05 | 1.228660e+05 | 1.313970e+05 | 1.404620e+05 | 1.498870e+05 | 1.596590e+05 | 1.693720e+05 | 1.792240e+05 | 1.905680e+05 | 2.051810e+05 | 2.241830e+05 | 2.485560e+05 | 2.774790e+05 | 3.080080e+05 | 3.360850e+05 | 3.589600e+05 | 3.749370e+05 | 3.852710e+05 | 3.938020e+05 | 4.060170e+05 | 4.256130e+05 | 4.543610e+05 | 4.903300e+05 | 5.289990e+05 | 5.638640e+05 | 5.903980e+05 | 6.068440e+05 | 6.150540e+05 | 6.184950e+05 | 6.223660e+05 | 6.303880e+05 | 6.436820e+05 | 6.609530e+05 | 6.806120e+05 | 7.000990e+05 | 7.175840e+05 | 7.327110e+05 | 7.462210e+05 | 7.586150e+05 | 7.707520e+05 | 7.832540e+05 | 7.962080e+05 | 8.094020e+05 | 8.229340e+05 | 8.368400e+05 | 8.511460e+05 | 8.659370e+05 | 8.811850e+05 | 8.966880e+05 | 9.121640e+05 | 9.274140e+05 | 9.423330e+05 | 9.569850e+05 |
| 55 | 55 | Dominica | DMA | Population, total | SP.POP.TOTL | 6.001100e+04 | 6.103200e+04 | 6.198200e+04 | 6.291800e+04 | 6.392600e+04 | 6.503800e+04 | 6.631100e+04 | 6.768600e+04 | 6.904000e+04 | 7.021300e+04 | 7.107300e+04 | 7.156900e+04 | 7.173400e+04 | 7.174400e+04 | 7.180700e+04 | 7.209400e+04 | 7.264200e+04 | 7.341100e+04 | 7.424200e+04 | 7.492500e+04 | 7.531400e+04 | 7.537500e+04 | 7.517000e+04 | 7.474700e+04 | 7.421300e+04 | 7.364300e+04 | 7.302500e+04 | 7.237000e+04 | 7.174200e+04 | 7.124200e+04 | 7.092600e+04 | 7.084200e+04 | 7.097000e+04 | 7.121000e+04 | 7.137300e+04 | 7.136800e+04 | 7.114500e+04 | 7.075300e+04 | 7.029000e+04 | 6.990300e+04 | 6.967600e+04 | 6.967000e+04 | 6.982400e+04 | 7.009300e+04 | 7.037900e+04 | 7.062700e+04 | 7.080700e+04 | 7.095000e+04 | 7.107400e+04 | 7.122900e+04 | 7.144000e+04 | 7.171800e+04 | 7.204400e+04 | 7.240000e+04 | 7.277800e+04 | 7.316200e+04 | 7.354300e+04 | 7.392500e+04 |
| 56 | 56 | Denmark | DNK | Population, total | SP.POP.TOTL | 4.579603e+06 | 4.611687e+06 | 4.647727e+06 | 4.684483e+06 | 4.722072e+06 | 4.759012e+06 | 4.797381e+06 | 4.835354e+06 | 4.864883e+06 | 4.891860e+06 | 4.928757e+06 | 4.963126e+06 | 4.991596e+06 | 5.021861e+06 | 5.045297e+06 | 5.059862e+06 | 5.072596e+06 | 5.088419e+06 | 5.104248e+06 | 5.116801e+06 | 5.123027e+06 | 5.121572e+06 | 5.117810e+06 | 5.114297e+06 | 5.111619e+06 | 5.113691e+06 | 5.120534e+06 | 5.127024e+06 | 5.129516e+06 | 5.132594e+06 | 5.140939e+06 | 5.154298e+06 | 5.171370e+06 | 5.188628e+06 | 5.206180e+06 | 5.233373e+06 | 5.263074e+06 | 5.284991e+06 | 5.304219e+06 | 5.321799e+06 | 5.339616e+06 | 5.358783e+06 | 5.375931e+06 | 5.390574e+06 | 5.404523e+06 | 5.419432e+06 | 5.437272e+06 | 5.461438e+06 | 5.493621e+06 | 5.523095e+06 | 5.547683e+06 | 5.570572e+06 | 5.591572e+06 | 5.614932e+06 | 5.643475e+06 | 5.683483e+06 | 5.728010e+06 | 5.769603e+06 |
| 57 | 57 | Dominican Republic | DOM | Population, total | SP.POP.TOTL | 3.294042e+06 | 3.406299e+06 | 3.521278e+06 | 3.638628e+06 | 3.757956e+06 | 3.878948e+06 | 4.001375e+06 | 4.125109e+06 | 4.250025e+06 | 4.376054e+06 | 4.503114e+06 | 4.631114e+06 | 4.759934e+06 | 4.889436e+06 | 5.019473e+06 | 5.149935e+06 | 5.280723e+06 | 5.411865e+06 | 5.543517e+06 | 5.675931e+06 | 5.809269e+06 | 5.943591e+06 | 6.078820e+06 | 6.214857e+06 | 6.351572e+06 | 6.488856e+06 | 6.626542e+06 | 6.764624e+06 | 6.903316e+06 | 7.042937e+06 | 7.183647e+06 | 7.325622e+06 | 7.468551e+06 | 7.611465e+06 | 7.753052e+06 | 7.892423e+06 | 8.029113e+06 | 8.163472e+06 | 8.296375e+06 | 8.429112e+06 | 8.562622e+06 | 8.697126e+06 | 8.832285e+06 | 8.967760e+06 | 9.102998e+06 | 9.237566e+06 | 9.371338e+06 | 9.504353e+06 | 9.636520e+06 | 9.767758e+06 | 9.897985e+06 | 1.002710e+07 | 1.015495e+07 | 1.028130e+07 | 1.040584e+07 | 1.052839e+07 | 1.064879e+07 | 1.076700e+07 |
| 58 | 58 | Algeria | DZA | Population, total | SP.POP.TOTL | 1.112489e+07 | 1.140486e+07 | 1.169015e+07 | 1.198514e+07 | 1.229597e+07 | 1.262695e+07 | 1.298027e+07 | 1.335420e+07 | 1.374439e+07 | 1.414444e+07 | 1.455003e+07 | 1.496011e+07 | 1.537709e+07 | 1.580443e+07 | 1.624711e+07 | 1.670910e+07 | 1.719024e+07 | 1.769018e+07 | 1.821233e+07 | 1.876076e+07 | 1.933772e+07 | 1.994366e+07 | 2.057570e+07 | 2.122829e+07 | 2.189385e+07 | 2.256590e+07 | 2.324127e+07 | 2.391790e+07 | 2.459149e+07 | 2.525767e+07 | 2.591237e+07 | 2.655433e+07 | 2.718109e+07 | 2.778626e+07 | 2.836225e+07 | 2.890430e+07 | 2.941142e+07 | 2.988684e+07 | 3.033573e+07 | 3.076561e+07 | 3.118366e+07 | 3.159215e+07 | 3.199505e+07 | 3.240351e+07 | 3.283110e+07 | 3.328844e+07 | 3.377792e+07 | 3.430008e+07 | 3.486072e+07 | 3.546576e+07 | 3.611764e+07 | 3.681956e+07 | 3.756585e+07 | 3.833856e+07 | 3.911331e+07 | 3.987153e+07 | 4.060605e+07 | 4.131814e+07 |
| 59 | 59 | East Asia & Pacific (excluding high income) | EAP | Population, total | SP.POP.TOTL | 8.939563e+08 | 8.935370e+08 | 9.054460e+08 | 9.286412e+08 | 9.514777e+08 | 9.753257e+08 | 1.002752e+09 | 1.029286e+09 | 1.056791e+09 | 1.085997e+09 | 1.116105e+09 | 1.146851e+09 | 1.175855e+09 | 1.203905e+09 | 1.230437e+09 | 1.254533e+09 | 1.276763e+09 | 1.297395e+09 | 1.317994e+09 | 1.338905e+09 | 1.359493e+09 | 1.380818e+09 | 1.404508e+09 | 1.428334e+09 | 1.451091e+09 | 1.474560e+09 | 1.499557e+09 | 1.526044e+09 | 1.552839e+09 | 1.578980e+09 | 1.604527e+09 | 1.629002e+09 | 1.651934e+09 | 1.674022e+09 | 1.695932e+09 | 1.717382e+09 | 1.738423e+09 | 1.759202e+09 | 1.779222e+09 | 1.798084e+09 | 1.815956e+09 | 1.833034e+09 | 1.849373e+09 | 1.865072e+09 | 1.880347e+09 | 1.895491e+09 | 1.910175e+09 | 1.924329e+09 | 1.938364e+09 | 1.952308e+09 | 1.966232e+09 | 1.980304e+09 | 1.994651e+09 | 2.009173e+09 | 2.023837e+09 | 2.038411e+09 | 2.053299e+09 | 2.068308e+09 |
| 60 | 60 | Early-demographic dividend | EAR | Population, total | SP.POP.TOTL | 9.792874e+08 | 1.002524e+09 | 1.026587e+09 | 1.051415e+09 | 1.077037e+09 | 1.103433e+09 | 1.130587e+09 | 1.158571e+09 | 1.187274e+09 | 1.216766e+09 | 1.247053e+09 | 1.278138e+09 | 1.310016e+09 | 1.342709e+09 | 1.376073e+09 | 1.410094e+09 | 1.444720e+09 | 1.480010e+09 | 1.516216e+09 | 1.553704e+09 | 1.592674e+09 | 1.633180e+09 | 1.675079e+09 | 1.718098e+09 | 1.761829e+09 | 1.805996e+09 | 1.850487e+09 | 1.895290e+09 | 1.940220e+09 | 1.985084e+09 | 2.031828e+09 | 2.076398e+09 | 2.120567e+09 | 2.164508e+09 | 2.208444e+09 | 2.252579e+09 | 2.297015e+09 | 2.341634e+09 | 2.386185e+09 | 2.430487e+09 | 2.474601e+09 | 2.518353e+09 | 2.561813e+09 | 2.605067e+09 | 2.648272e+09 | 2.691528e+09 | 2.734860e+09 | 2.778276e+09 | 2.821797e+09 | 2.865440e+09 | 2.909411e+09 | 2.953406e+09 | 2.997066e+09 | 3.040701e+09 | 3.084236e+09 | 3.127579e+09 | 3.170658e+09 | 3.213427e+09 |
| 61 | 61 | East Asia & Pacific | EAS | Population, total | SP.POP.TOTL | 1.039945e+09 | 1.043547e+09 | 1.058028e+09 | 1.083802e+09 | 1.109204e+09 | 1.135651e+09 | 1.165518e+09 | 1.194424e+09 | 1.223721e+09 | 1.256501e+09 | 1.289259e+09 | 1.322943e+09 | 1.354794e+09 | 1.385052e+09 | 1.415128e+09 | 1.442241e+09 | 1.466465e+09 | 1.489362e+09 | 1.512160e+09 | 1.535391e+09 | 1.558179e+09 | 1.581807e+09 | 1.607731e+09 | 1.633628e+09 | 1.658254e+09 | 1.683449e+09 | 1.710171e+09 | 1.738276e+09 | 1.766656e+09 | 1.794409e+09 | 1.821481e+09 | 1.847530e+09 | 1.871898e+09 | 1.895357e+09 | 1.918771e+09 | 1.941919e+09 | 1.964635e+09 | 1.986800e+09 | 2.008140e+09 | 2.028095e+09 | 2.047151e+09 | 2.065522e+09 | 2.082954e+09 | 2.099546e+09 | 2.115557e+09 | 2.131363e+09 | 2.147030e+09 | 2.162104e+09 | 2.177422e+09 | 2.192352e+09 | 2.207155e+09 | 2.221935e+09 | 2.237083e+09 | 2.252311e+09 | 2.267745e+09 | 2.283108e+09 | 2.298727e+09 | 2.314365e+09 |
| 62 | 62 | Europe & Central Asia (excluding high income) | ECA | Population, total | SP.POP.TOTL | 2.749479e+08 | 2.792453e+08 | 2.835597e+08 | 2.878889e+08 | 2.922034e+08 | 2.964538e+08 | 3.000432e+08 | 3.037008e+08 | 3.072722e+08 | 3.107752e+08 | 3.142886e+08 | 3.177999e+08 | 3.213051e+08 | 3.247898e+08 | 3.282926e+08 | 3.318162e+08 | 3.354947e+08 | 3.391142e+08 | 3.426942e+08 | 3.462524e+08 | 3.499061e+08 | 3.536258e+08 | 3.571678e+08 | 3.606918e+08 | 3.644618e+08 | 3.682484e+08 | 3.720084e+08 | 3.757567e+08 | 3.793897e+08 | 3.828604e+08 | 3.854274e+08 | 3.873971e+08 | 3.890110e+08 | 3.902655e+08 | 3.909185e+08 | 3.913846e+08 | 3.917912e+08 | 3.922009e+08 | 3.924980e+08 | 3.925179e+08 | 3.926580e+08 | 3.924462e+08 | 3.921343e+08 | 3.922804e+08 | 3.926260e+08 | 3.930275e+08 | 3.935713e+08 | 3.942577e+08 | 3.953046e+08 | 3.970440e+08 | 3.990532e+08 | 4.012419e+08 | 4.034397e+08 | 4.058712e+08 | 4.082716e+08 | 4.107708e+08 | 4.132349e+08 | 4.155462e+08 |
| 63 | 63 | Europe & Central Asia | ECS | Population, total | SP.POP.TOTL | 6.672464e+08 | 6.749730e+08 | 6.829387e+08 | 6.909627e+08 | 6.989057e+08 | 7.066090e+08 | 7.133411e+08 | 7.198798e+08 | 7.261619e+08 | 7.323179e+08 | 7.379482e+08 | 7.436074e+08 | 7.498159e+08 | 7.558680e+08 | 7.617013e+08 | 7.673326e+08 | 7.728383e+08 | 7.780948e+08 | 7.832990e+08 | 7.885252e+08 | 7.939371e+08 | 7.992153e+08 | 8.039730e+08 | 8.085247e+08 | 8.132814e+08 | 8.181469e+08 | 8.231551e+08 | 8.282138e+08 | 8.333152e+08 | 8.384628e+08 | 8.428485e+08 | 8.461783e+08 | 8.496567e+08 | 8.527620e+08 | 8.547231e+08 | 8.563529e+08 | 8.576527e+08 | 8.591127e+08 | 8.602363e+08 | 8.613801e+08 | 8.623041e+08 | 8.636156e+08 | 8.651969e+08 | 8.674577e+08 | 8.700308e+08 | 8.726616e+08 | 8.753432e+08 | 8.784660e+08 | 8.819658e+08 | 8.855918e+08 | 8.890165e+08 | 8.910989e+08 | 8.946800e+08 | 8.988814e+08 | 9.031232e+08 | 9.074262e+08 | 9.116863e+08 | 9.155458e+08 |
| 64 | 64 | Ecuador | ECU | Population, total | SP.POP.TOTL | 4.545550e+06 | 4.676859e+06 | 4.812890e+06 | 4.953733e+06 | 5.099468e+06 | 5.250119e+06 | 5.405685e+06 | 5.566057e+06 | 5.730906e+06 | 5.899845e+06 | 6.072527e+06 | 6.248835e+06 | 6.428711e+06 | 6.611916e+06 | 6.798206e+06 | 6.987391e+06 | 7.179399e+06 | 7.374234e+06 | 7.571959e+06 | 7.772653e+06 | 7.976445e+06 | 8.183194e+06 | 8.392940e+06 | 8.606213e+06 | 8.823751e+06 | 9.045979e+06 | 9.272906e+06 | 9.504129e+06 | 9.739176e+06 | 9.977377e+06 | 1.021809e+07 | 1.046099e+07 | 1.070567e+07 | 1.095120e+07 | 1.119648e+07 | 1.144058e+07 | 1.168348e+07 | 1.192499e+07 | 1.216388e+07 | 1.239869e+07 | 1.262860e+07 | 1.285276e+07 | 1.307206e+07 | 1.328960e+07 | 1.350965e+07 | 1.373523e+07 | 1.396748e+07 | 1.420545e+07 | 1.444756e+07 | 1.469128e+07 | 1.493469e+07 | 1.517736e+07 | 1.541967e+07 | 1.566155e+07 | 1.590311e+07 | 1.614437e+07 | 1.638507e+07 | 1.662486e+07 |
| 65 | 65 | Egypt, Arab Rep. | EGY | Population, total | SP.POP.TOTL | 2.699653e+07 | 2.774471e+07 | 2.850618e+07 | 2.928125e+07 | 3.007110e+07 | 3.087596e+07 | 3.169762e+07 | 3.253402e+07 | 3.337726e+07 | 3.421683e+07 | 3.504627e+07 | 3.586338e+07 | 3.667364e+07 | 3.748807e+07 | 3.832202e+07 | 3.918770e+07 | 4.008903e+07 | 4.102648e+07 | 4.200466e+07 | 4.302782e+07 | 4.409914e+07 | 4.521651e+07 | 4.637962e+07 | 4.759456e+07 | 4.886895e+07 | 5.020498e+07 | 5.160770e+07 | 5.306623e+07 | 5.454730e+07 | 5.600657e+07 | 5.741222e+07 | 5.875239e+07 | 6.003554e+07 | 6.127560e+07 | 6.249574e+07 | 6.371439e+07 | 6.493346e+07 | 6.615112e+07 | 6.737806e+07 | 6.862666e+07 | 6.990599e+07 | 7.122694e+07 | 7.259012e+07 | 7.398194e+07 | 7.538190e+07 | 7.677815e+07 | 7.815905e+07 | 7.953725e+07 | 8.095388e+07 | 8.246502e+07 | 8.410761e+07 | 8.589756e+07 | 8.781326e+07 | 8.980743e+07 | 9.181257e+07 | 9.377817e+07 | 9.568868e+07 | 9.755315e+07 |
| 66 | 66 | Euro area | EMU | Population, total | SP.POP.TOTL | 2.653965e+08 | 2.678253e+08 | 2.703248e+08 | 2.728764e+08 | 2.753822e+08 | 2.778567e+08 | 2.801475e+08 | 2.821145e+08 | 2.839670e+08 | 2.858551e+08 | 2.874162e+08 | 2.890325e+08 | 2.910407e+08 | 2.929618e+08 | 2.946894e+08 | 2.962447e+08 | 2.975730e+08 | 2.987386e+08 | 2.999089e+08 | 3.011000e+08 | 3.023635e+08 | 3.034987e+08 | 3.043140e+08 | 3.049200e+08 | 3.054322e+08 | 3.060187e+08 | 3.067972e+08 | 3.076683e+08 | 3.087259e+08 | 3.100801e+08 | 3.115397e+08 | 3.127081e+08 | 3.141621e+08 | 3.154491e+08 | 3.163668e+08 | 3.171814e+08 | 3.180030e+08 | 3.187618e+08 | 3.194340e+08 | 3.202589e+08 | 3.213108e+08 | 3.225479e+08 | 3.241253e+08 | 3.258860e+08 | 3.276825e+08 | 3.293804e+08 | 3.309228e+08 | 3.326452e+08 | 3.342747e+08 | 3.353609e+08 | 3.361515e+08 | 3.354291e+08 | 3.361805e+08 | 3.373255e+08 | 3.384663e+08 | 3.395335e+08 | 3.406174e+08 | 3.414651e+08 |
| 67 | 67 | Eritrea | ERI | Population, total | SP.POP.TOTL | 1.397491e+06 | 1.432640e+06 | 1.469645e+06 | 1.508273e+06 | 1.548187e+06 | 1.589179e+06 | 1.631147e+06 | 1.674204e+06 | 1.718525e+06 | 1.764343e+06 | 1.811878e+06 | 1.861199e+06 | 1.912302e+06 | 1.965160e+06 | 2.019717e+06 | 2.075965e+06 | 2.133723e+06 | 2.193068e+06 | 2.254450e+06 | 2.318495e+06 | 2.385540e+06 | 2.454766e+06 | 2.525521e+06 | 2.598410e+06 | 2.674289e+06 | 2.753151e+06 | 2.837111e+06 | 2.924349e+06 | 3.006361e+06 | 3.071771e+06 | 3.113311e+06 | 3.127297e+06 | 3.118582e+06 | 3.099047e+06 | 3.085443e+06 | 3.090159e+06 | 3.116379e+06 | 3.161350e+06 | 3.224223e+06 | 3.302263e+06 | 3.392801e+06 | 3.497124e+06 | 3.614639e+06 | 3.738265e+06 | 3.858623e+06 | 3.969007e+06 | 4.066648e+06 | 4.153332e+06 | 4.232636e+06 | 4.310334e+06 | 4.390840e+06 | 4.474690e+06 | NaN | NaN | NaN | NaN | NaN | NaN |
| 68 | 68 | Spain | ESP | Population, total | SP.POP.TOTL | 3.045500e+07 | 3.073925e+07 | 3.102337e+07 | 3.129665e+07 | 3.160920e+07 | 3.195429e+07 | 3.228319e+07 | 3.268295e+07 | 3.311313e+07 | 3.344105e+07 | 3.381453e+07 | 3.422449e+07 | 3.460447e+07 | 3.498895e+07 | 3.537334e+07 | 3.575790e+07 | 3.613781e+07 | 3.651164e+07 | 3.686490e+07 | 3.719133e+07 | 3.749116e+07 | 3.775863e+07 | 3.798601e+07 | 3.817152e+07 | 3.833036e+07 | 3.846951e+07 | 3.858462e+07 | 3.868482e+07 | 3.876694e+07 | 3.882776e+07 | 3.886732e+07 | 3.896638e+07 | 3.915768e+07 | 3.936126e+07 | 3.954911e+07 | 3.972405e+07 | 3.988985e+07 | 4.005739e+07 | 4.022351e+07 | 4.038688e+07 | 4.056786e+07 | 4.085041e+07 | 4.143156e+07 | 4.218764e+07 | 4.292190e+07 | 4.365316e+07 | 4.439732e+07 | 4.522680e+07 | 4.595411e+07 | 4.636295e+07 | 4.657690e+07 | 4.674270e+07 | 4.677306e+07 | 4.662004e+07 | 4.648088e+07 | 4.644483e+07 | 4.648406e+07 | 4.657203e+07 |
| 69 | 69 | Estonia | EST | Population, total | SP.POP.TOTL | 1.211537e+06 | 1.225077e+06 | 1.241623e+06 | 1.258857e+06 | 1.277086e+06 | 1.294566e+06 | 1.308597e+06 | 1.318946e+06 | 1.331214e+06 | 1.345249e+06 | 1.360076e+06 | 1.376955e+06 | 1.392518e+06 | 1.405951e+06 | 1.418169e+06 | 1.429352e+06 | 1.439576e+06 | 1.450211e+06 | 1.460188e+06 | 1.468333e+06 | 1.477219e+06 | 1.487666e+06 | 1.498414e+06 | 1.508745e+06 | 1.518617e+06 | 1.528781e+06 | 1.540190e+06 | 1.552221e+06 | 1.561900e+06 | 1.568131e+06 | 1.569174e+06 | 1.561314e+06 | 1.533091e+06 | 1.494128e+06 | 1.462514e+06 | 1.436634e+06 | 1.415594e+06 | 1.399535e+06 | 1.386156e+06 | 1.390244e+06 | 1.396985e+06 | 1.388115e+06 | 1.379350e+06 | 1.370720e+06 | 1.362550e+06 | 1.354775e+06 | 1.346810e+06 | 1.340680e+06 | 1.337090e+06 | 1.334515e+06 | 1.331475e+06 | 1.327439e+06 | 1.322696e+06 | 1.317997e+06 | 1.314545e+06 | 1.315407e+06 | 1.315790e+06 | 1.315480e+06 |
| 70 | 70 | Ethiopia | ETH | Population, total | SP.POP.TOTL | 2.215128e+07 | 2.267119e+07 | 2.322139e+07 | 2.379843e+07 | 2.439702e+07 | 2.501363e+07 | 2.564138e+07 | 2.628121e+07 | 2.694608e+07 | 2.765416e+07 | 2.841508e+07 | 2.924521e+07 | 3.013258e+07 | 3.102512e+07 | 3.185171e+07 | 3.256682e+07 | 3.314689e+07 | 3.362239e+07 | 3.406832e+07 | 3.459023e+07 | 3.526490e+07 | 3.612029e+07 | 3.713685e+07 | 3.828588e+07 | 3.951880e+07 | 4.080034e+07 | 4.212073e+07 | 4.349328e+07 | 4.493206e+07 | 4.645891e+07 | 4.808652e+07 | 4.982108e+07 | 5.164777e+07 | 5.353296e+07 | 5.543112e+07 | 5.730988e+07 | 5.915515e+07 | 6.097645e+07 | 6.279415e+07 | 6.464005e+07 | 6.653733e+07 | 6.849226e+07 | 7.049719e+07 | 7.254514e+07 | 7.462440e+07 | 7.672708e+07 | 7.885069e+07 | 8.100041e+07 | 8.318489e+07 | 8.541625e+07 | 8.770267e+07 | 9.004676e+07 | 9.244418e+07 | 9.488772e+07 | 9.736677e+07 | 9.987303e+07 | 1.024032e+08 | 1.049574e+08 |
| 71 | 71 | European Union | EUU | Population, total | SP.POP.TOTL | 4.094985e+08 | 4.130070e+08 | 4.166706e+08 | 4.203933e+08 | 4.240759e+08 | 4.275926e+08 | 4.308684e+08 | 4.340016e+08 | 4.369161e+08 | 4.397307e+08 | 4.420623e+08 | 4.444010e+08 | 4.472536e+08 | 4.499606e+08 | 4.524759e+08 | 4.548655e+08 | 4.570010e+08 | 4.588882e+08 | 4.606993e+08 | 4.624885e+08 | 4.643929e+08 | 4.660999e+08 | 4.673894e+08 | 4.684688e+08 | 4.695016e+08 | 4.706378e+08 | 4.719373e+08 | 4.732841e+08 | 4.747925e+08 | 4.763921e+08 | 4.780053e+08 | 4.789764e+08 | 4.804385e+08 | 4.820993e+08 | 4.832628e+08 | 4.842713e+08 | 4.850007e+08 | 4.858921e+08 | 4.865659e+08 | 4.875394e+08 | 4.881788e+08 | 4.891557e+08 | 4.903903e+08 | 4.922001e+08 | 4.941625e+08 | 4.961150e+08 | 4.979737e+08 | 4.999166e+08 | 5.018085e+08 | 5.033180e+08 | 5.044211e+08 | 5.040154e+08 | 5.051175e+08 | 5.066211e+08 | 5.081939e+08 | 5.097176e+08 | 5.112190e+08 | 5.124613e+08 |
| 72 | 72 | Fragile and conflict affected situations | FCS | Population, total | SP.POP.TOTL | 1.199679e+08 | 1.227385e+08 | 1.256206e+08 | 1.286219e+08 | 1.317644e+08 | 1.350638e+08 | 1.385324e+08 | 1.421680e+08 | 1.459504e+08 | 1.498533e+08 | 1.538597e+08 | 1.579481e+08 | 1.621330e+08 | 1.664641e+08 | 1.710180e+08 | 1.758378e+08 | 1.809552e+08 | 1.863286e+08 | 1.918511e+08 | 1.973747e+08 | 2.027918e+08 | 2.080848e+08 | 2.132922e+08 | 2.184487e+08 | 2.236076e+08 | 2.288243e+08 | 2.340723e+08 | 2.393759e+08 | 2.448949e+08 | 2.508318e+08 | 2.593019e+08 | 2.665302e+08 | 2.743376e+08 | 2.825127e+08 | 2.907506e+08 | 2.988375e+08 | 3.066919e+08 | 3.143936e+08 | 3.218856e+08 | 3.294950e+08 | 3.376025e+08 | 3.461687e+08 | 3.550768e+08 | 3.642757e+08 | 3.736809e+08 | 3.832304e+08 | 3.929324e+08 | 4.027968e+08 | 4.128324e+08 | 4.230286e+08 | 4.333888e+08 | 4.439183e+08 | 4.546189e+08 | 4.655154e+08 | 4.766081e+08 | 4.879236e+08 | 4.995085e+08 | 5.113366e+08 |
| 73 | 73 | Finland | FIN | Population, total | SP.POP.TOTL | 4.429634e+06 | 4.461005e+06 | 4.491443e+06 | 4.523309e+06 | 4.548543e+06 | 4.563732e+06 | 4.580869e+06 | 4.605744e+06 | 4.626469e+06 | 4.623785e+06 | 4.606307e+06 | 4.612124e+06 | 4.639657e+06 | 4.666081e+06 | 4.690574e+06 | 4.711440e+06 | 4.725664e+06 | 4.738902e+06 | 4.752528e+06 | 4.764690e+06 | 4.779535e+06 | 4.799964e+06 | 4.826933e+06 | 4.855787e+06 | 4.881803e+06 | 4.902206e+06 | 4.918154e+06 | 4.932123e+06 | 4.946481e+06 | 4.964371e+06 | 4.986431e+06 | 5.013740e+06 | 5.041992e+06 | 5.066447e+06 | 5.088333e+06 | 5.107790e+06 | 5.124573e+06 | 5.139835e+06 | 5.153498e+06 | 5.165474e+06 | 5.176209e+06 | 5.188008e+06 | 5.200598e+06 | 5.213014e+06 | 5.228172e+06 | 5.246096e+06 | 5.266268e+06 | 5.288720e+06 | 5.313399e+06 | 5.338871e+06 | 5.363352e+06 | 5.388272e+06 | 5.413971e+06 | 5.438972e+06 | 5.461512e+06 | 5.479531e+06 | 5.495303e+06 | 5.511303e+06 |
| 74 | 74 | Fiji | FJI | Population, total | SP.POP.TOTL | 3.933860e+05 | 4.071560e+05 | 4.215770e+05 | 4.362080e+05 | 4.504500e+05 | 4.638830e+05 | 4.763240e+05 | 4.879130e+05 | 4.988920e+05 | 5.096580e+05 | 5.205290e+05 | 5.316010e+05 | 5.428140e+05 | 5.541070e+05 | 5.653880e+05 | 5.765950e+05 | 5.875200e+05 | 5.982590e+05 | 6.093450e+05 | 6.215380e+05 | 6.352550e+05 | 6.509550e+05 | 6.681980e+05 | 6.853910e+05 | 7.003660e+05 | 7.116610e+05 | 7.185480e+05 | 7.217250e+05 | 7.229170e+05 | 7.246240e+05 | 7.286280e+05 | 7.354730e+05 | 7.445310e+05 | 7.550260e+05 | 7.656670e+05 | 7.754980e+05 | 7.844760e+05 | 7.928600e+05 | 8.003150e+05 | 8.064940e+05 | 8.112230e+05 | 8.142180e+05 | 8.156910e+05 | 8.166280e+05 | 8.183540e+05 | 8.218170e+05 | 8.274110e+05 | 8.348120e+05 | 8.433400e+05 | 8.519670e+05 | 8.599500e+05 | 8.670860e+05 | 8.735960e+05 | 8.797150e+05 | 8.858060e+05 | 8.921490e+05 | 8.987600e+05 | 9.055020e+05 |
| 75 | 75 | France | FRA | Population, total | SP.POP.TOTL | 4.681424e+07 | 4.744475e+07 | 4.811965e+07 | 4.880368e+07 | 4.944940e+07 | 5.002377e+07 | 5.050872e+07 | 5.091546e+07 | 5.127605e+07 | 5.163826e+07 | 5.203510e+07 | 5.248042e+07 | 5.295923e+07 | 5.344126e+07 | 5.388242e+07 | 5.425257e+07 | 5.454149e+07 | 5.476446e+07 | 5.494798e+07 | 5.513059e+07 | 5.534078e+07 | 5.558582e+07 | 5.585873e+07 | 5.615628e+07 | 5.647077e+07 | 5.679569e+07 | 5.713269e+07 | 5.748259e+07 | 5.783649e+07 | 5.818270e+07 | 5.851281e+07 | 5.855931e+07 | 5.885122e+07 | 5.910677e+07 | 5.932719e+07 | 5.954190e+07 | 5.975310e+07 | 5.996485e+07 | 6.018629e+07 | 6.049672e+07 | 6.091250e+07 | 6.135743e+07 | 6.180527e+07 | 6.224489e+07 | 6.270490e+07 | 6.317935e+07 | 6.362138e+07 | 6.401623e+07 | 6.437499e+07 | 6.470704e+07 | 6.502751e+07 | 6.534278e+07 | 6.565979e+07 | 6.599866e+07 | 6.631609e+07 | 6.659337e+07 | 6.685977e+07 | 6.711865e+07 |
| 76 | 76 | Faroe Islands | FRO | Population, total | SP.POP.TOTL | 3.466100e+04 | 3.511500e+04 | 3.557000e+04 | 3.601400e+04 | 3.645400e+04 | 3.690000e+04 | 3.733400e+04 | 3.776800e+04 | 3.820000e+04 | 3.864600e+04 | 3.908300e+04 | 3.953700e+04 | 4.000900e+04 | 4.048600e+04 | 4.095500e+04 | 4.140700e+04 | 4.184800e+04 | 4.227500e+04 | 4.269300e+04 | 4.310100e+04 | 4.351400e+04 | 4.391700e+04 | 4.430700e+04 | 4.470000e+04 | 4.512200e+04 | 4.557300e+04 | 4.607700e+04 | 4.662100e+04 | 4.711700e+04 | 4.746600e+04 | 4.759400e+04 | 4.745700e+04 | 4.710100e+04 | 4.664000e+04 | 4.625000e+04 | 4.604000e+04 | 4.605800e+04 | 4.625100e+04 | 4.658000e+04 | 4.693700e+04 | 4.725800e+04 | 4.752600e+04 | 4.776900e+04 | 4.797400e+04 | 4.814300e+04 | 4.828500e+04 | 4.838300e+04 | 4.844800e+04 | 4.848500e+04 | 4.851700e+04 | 4.855000e+04 | 4.860800e+04 | 4.866600e+04 | 4.874700e+04 | 4.884200e+04 | 4.896500e+04 | 4.911700e+04 | 4.929000e+04 |
| 77 | 77 | Micronesia, Fed. Sts. | FSM | Population, total | SP.POP.TOTL | 4.453700e+04 | 4.595500e+04 | 4.738800e+04 | 4.887600e+04 | 5.048700e+04 | 5.224200e+04 | 5.419900e+04 | 5.631900e+04 | 5.840300e+04 | 6.017000e+04 | 6.143100e+04 | 6.210800e+04 | 6.229800e+04 | 6.229000e+04 | 6.247600e+04 | 6.314400e+04 | 6.438600e+04 | 6.610500e+04 | 6.822200e+04 | 7.055000e+04 | 7.296400e+04 | 7.546200e+04 | 7.805900e+04 | 8.067800e+04 | 8.324000e+04 | 8.568600e+04 | 8.794800e+04 | 9.002000e+04 | 9.202100e+04 | 9.409100e+04 | 9.633100e+04 | 9.879900e+04 | 1.014130e+05 | 1.039340e+05 | 1.060570e+05 | 1.075560e+05 | 1.083440e+05 | 1.085020e+05 | 1.082380e+05 | 1.078160e+05 | 1.074320e+05 | 1.071650e+05 | 1.069830e+05 | 1.068160e+05 | 1.065770e+05 | 1.061960e+05 | 1.056840e+05 | 1.050780e+05 | 1.044780e+05 | 1.039600e+05 | 1.036160e+05 | 1.034680e+05 | 1.035030e+05 | 1.037020e+05 | 1.040150e+05 | 1.044330e+05 | 1.049370e+05 | 1.055440e+05 |
| 78 | 78 | Gabon | GAB | Population, total | SP.POP.TOTL | 4.991840e+05 | 5.041670e+05 | 5.098060e+05 | 5.162650e+05 | 5.237890e+05 | 5.325110e+05 | 5.425570e+05 | 5.538230e+05 | 5.658730e+05 | 5.781080e+05 | 5.901180e+05 | 6.017310e+05 | 6.131230e+05 | 6.246210e+05 | 6.366960e+05 | 6.497160e+05 | 6.637700e+05 | 6.787740e+05 | 6.947320e+05 | 7.115330e+05 | 7.291590e+05 | 7.475870e+05 | 7.668550e+05 | 7.870130e+05 | 8.080830e+05 | 8.300850e+05 | 8.530270e+05 | 8.768630e+05 | 9.014580e+05 | 9.266220e+05 | 9.522120e+05 | 9.782230e+05 | 1.004676e+06 | 1.031504e+06 | 1.058663e+06 | 1.086137e+06 | 1.113994e+06 | 1.142324e+06 | 1.171224e+06 | 1.200773e+06 | 1.231122e+06 | 1.262259e+06 | 1.294409e+06 | 1.328146e+06 | 1.364205e+06 | 1.403126e+06 | 1.444844e+06 | 1.489193e+06 | 1.536411e+06 | 1.586754e+06 | 1.640210e+06 | 1.697101e+06 | 1.756817e+06 | 1.817271e+06 | 1.875713e+06 | 1.930175e+06 | 1.979786e+06 | 2.025137e+06 |
| 79 | 79 | United Kingdom | GBR | Population, total | SP.POP.TOTL | 5.240000e+07 | 5.280000e+07 | 5.325000e+07 | 5.365000e+07 | 5.400000e+07 | 5.434805e+07 | 5.464850e+07 | 5.494360e+07 | 5.521170e+07 | 5.544175e+07 | 5.566325e+07 | 5.589622e+07 | 5.608606e+07 | 5.619453e+07 | 5.622997e+07 | 5.622580e+07 | 5.621197e+07 | 5.619349e+07 | 5.619650e+07 | 5.624695e+07 | 5.631422e+07 | 5.633383e+07 | 5.631364e+07 | 5.633285e+07 | 5.642207e+07 | 5.655027e+07 | 5.668140e+07 | 5.680205e+07 | 5.692833e+07 | 5.707671e+07 | 5.724759e+07 | 5.742490e+07 | 5.758040e+07 | 5.771861e+07 | 5.786574e+07 | 5.801903e+07 | 5.816695e+07 | 5.831695e+07 | 5.848714e+07 | 5.868247e+07 | 5.889251e+07 | 5.911967e+07 | 5.937048e+07 | 5.964758e+07 | 5.998790e+07 | 6.040121e+07 | 6.084682e+07 | 6.132246e+07 | 6.180700e+07 | 6.227627e+07 | 6.276636e+07 | 6.325892e+07 | 6.370030e+07 | 6.412823e+07 | 6.461316e+07 | 6.512886e+07 | 6.559556e+07 | 6.602227e+07 |
| 80 | 80 | Georgia | GEO | Population, total | SP.POP.TOTL | 3.645600e+06 | 3.703600e+06 | 3.760300e+06 | 3.816100e+06 | 3.870300e+06 | 3.921600e+06 | 3.966700e+06 | 4.005800e+06 | 4.042300e+06 | 4.080300e+06 | 4.119900e+06 | 4.163000e+06 | 4.205300e+06 | 4.242500e+06 | 4.279500e+06 | 4.311200e+06 | 4.342400e+06 | 4.372100e+06 | 4.397700e+06 | 4.430200e+06 | 4.467700e+06 | 4.504500e+06 | 4.542800e+06 | 4.582900e+06 | 4.622200e+06 | 4.662900e+06 | 4.704500e+06 | 4.743500e+06 | 4.790700e+06 | 4.803300e+06 | 4.802000e+06 | 4.835900e+06 | 4.873500e+06 | 4.911100e+06 | 4.861600e+06 | 4.734000e+06 | 4.616100e+06 | 4.531600e+06 | 4.487300e+06 | 4.452500e+06 | 4.418300e+06 | 4.386400e+06 | 4.357000e+06 | 4.301000e+06 | 4.245000e+06 | 4.190000e+06 | 4.136000e+06 | 4.082000e+06 | 4.030000e+06 | 3.978000e+06 | 3.926000e+06 | 3.875000e+06 | 3.825000e+06 | 3.776000e+06 | 3.727000e+06 | 3.717100e+06 | 3.719300e+06 | 3.717100e+06 |
| 81 | 81 | Ghana | GHA | Population, total | SP.POP.TOTL | 6.652287e+06 | 6.866539e+06 | 7.085464e+06 | 7.303432e+06 | 7.513289e+06 | 7.710549e+06 | 7.890992e+06 | 8.057444e+06 | 8.221020e+06 | 8.397347e+06 | 8.596983e+06 | 8.827273e+06 | 9.083573e+06 | 9.350111e+06 | 9.604276e+06 | 9.831407e+06 | 1.002347e+07 | 1.018989e+07 | 1.035450e+07 | 1.055078e+07 | 1.080203e+07 | 1.111760e+07 | 1.148811e+07 | 1.189512e+07 | 1.231116e+07 | 1.271623e+07 | 1.310430e+07 | 1.348141e+07 | 1.385421e+07 | 1.423387e+07 | 1.462826e+07 | 1.503951e+07 | 1.546385e+07 | 1.589643e+07 | 1.633017e+07 | 1.676047e+07 | 1.718561e+07 | 1.760881e+07 | 1.803649e+07 | 1.847761e+07 | 1.893876e+07 | 1.942160e+07 | 1.992452e+07 | 2.044678e+07 | 2.098654e+07 | 2.154201e+07 | 2.211342e+07 | 2.270021e+07 | 2.329864e+07 | 2.390383e+07 | 2.451210e+07 | 2.512180e+07 | 2.573305e+07 | 2.634625e+07 | 2.696256e+07 | 2.758282e+07 | 2.820673e+07 | 2.883363e+07 |
| 82 | 82 | Gibraltar | GIB | Population, total | SP.POP.TOTL | 2.339400e+04 | 2.378600e+04 | 2.428400e+04 | 2.484800e+04 | 2.545400e+04 | 2.604100e+04 | 2.661200e+04 | 2.717400e+04 | 2.769400e+04 | 2.815900e+04 | 2.856000e+04 | 2.886900e+04 | 2.910400e+04 | 2.927800e+04 | 2.942700e+04 | 2.957800e+04 | 2.974200e+04 | 2.990200e+04 | 3.004900e+04 | 3.017700e+04 | 3.027200e+04 | 3.033400e+04 | 3.038100e+04 | 3.038300e+04 | 3.032500e+04 | 3.020700e+04 | 3.000400e+04 | 2.974400e+04 | 2.946900e+04 | 2.926200e+04 | 2.916400e+04 | 2.921200e+04 | 2.937900e+04 | 2.962300e+04 | 2.989500e+04 | 3.014700e+04 | 3.038200e+04 | 3.059400e+04 | 3.080100e+04 | 3.099100e+04 | 3.118000e+04 | 3.137400e+04 | 3.154400e+04 | 3.172000e+04 | 3.189600e+04 | 3.208500e+04 | 3.229600e+04 | 3.251000e+04 | 3.273200e+04 | 3.295600e+04 | 3.318900e+04 | 3.340500e+04 | 3.362300e+04 | 3.383100e+04 | 3.403800e+04 | 3.422800e+04 | 3.440800e+04 | 3.457100e+04 |
| 83 | 83 | Guinea | GIN | Population, total | SP.POP.TOTL | 3.577409e+06 | 3.633652e+06 | 3.690664e+06 | 3.749505e+06 | 3.811659e+06 | 3.877806e+06 | 3.948869e+06 | 4.023486e+06 | 4.097191e+06 | 4.164003e+06 | 4.219770e+06 | 4.263840e+06 | 4.298091e+06 | 4.324360e+06 | 4.345545e+06 | 4.364514e+06 | 4.381601e+06 | 4.398484e+06 | 4.421134e+06 | 4.457078e+06 | 4.511902e+06 | 4.589784e+06 | 4.690605e+06 | 4.810496e+06 | 4.943144e+06 | 5.084767e+06 | 5.229797e+06 | 5.381483e+06 | 5.554882e+06 | 5.770652e+06 | 6.041094e+06 | 6.374329e+06 | 6.758838e+06 | 7.163236e+06 | 7.544291e+06 | 7.871173e+06 | 8.132552e+06 | 8.337988e+06 | 8.503297e+06 | 8.653769e+06 | 8.808546e+06 | 8.971139e+06 | 9.137345e+06 | 9.309848e+06 | 9.490229e+06 | 9.679745e+06 | 9.881428e+06 | 1.009673e+07 | 1.032314e+07 | 1.055652e+07 | 1.079417e+07 | 1.103517e+07 | 1.128147e+07 | 1.153662e+07 | 1.180551e+07 | 1.209153e+07 | 1.239592e+07 | 1.271718e+07 |
| 84 | 84 | Gambia, The | GMB | Population, total | SP.POP.TOTL | 3.679280e+05 | 3.767370e+05 | 3.835230e+05 | 3.890720e+05 | 3.945530e+05 | 4.008610e+05 | 4.081800e+05 | 4.163390e+05 | 4.255100e+05 | 4.357980e+05 | 4.472850e+05 | 4.601940e+05 | 4.745390e+05 | 4.898610e+05 | 5.055120e+05 | 5.210700e+05 | 5.364090e+05 | 5.518170e+05 | 5.678310e+05 | 5.851570e+05 | 6.043690e+05 | 6.254110e+05 | 6.482100e+05 | 6.732380e+05 | 7.011040e+05 | 7.320960e+05 | 7.665890e+05 | 8.041250e+05 | 8.430500e+05 | 8.811380e+05 | 9.168080e+05 | 9.494930e+05 | 9.797180e+05 | 1.008358e+06 | 1.036829e+06 | 1.066223e+06 | 1.096708e+06 | 1.128169e+06 | 1.160944e+06 | 1.195420e+06 | 1.231844e+06 | 1.270495e+06 | 1.311349e+06 | 1.354194e+06 | 1.398573e+06 | 1.444204e+06 | 1.491021e+06 | 1.539116e+06 | 1.588572e+06 | 1.639560e+06 | 1.692149e+06 | 1.746363e+06 | 1.802125e+06 | 1.859324e+06 | 1.917852e+06 | 1.977590e+06 | 2.038501e+06 | 2.100568e+06 |
| 85 | 85 | Guinea-Bissau | GNB | Population, total | SP.POP.TOTL | 6.164090e+05 | 6.234150e+05 | 6.299690e+05 | 6.365860e+05 | 6.439610e+05 | 6.525620e+05 | 6.624630e+05 | 6.734620e+05 | 6.854760e+05 | 6.983380e+05 | 7.118270e+05 | 7.262560e+05 | 7.414900e+05 | 7.562800e+05 | 7.689450e+05 | 7.784700e+05 | 7.841560e+05 | 7.867540e+05 | 7.884950e+05 | 7.924620e+05 | 8.008540e+05 | 8.145070e+05 | 8.326680e+05 | 8.541130e+05 | 8.768730e+05 | 8.995090e+05 | 9.216260e+05 | 9.436170e+05 | 9.657420e+05 | 9.885200e+05 | 1.012280e+06 | 1.037155e+06 | 1.062800e+06 | 1.088569e+06 | 1.113541e+06 | 1.137122e+06 | 1.159060e+06 | 1.179727e+06 | 1.199915e+06 | 1.220794e+06 | 1.243229e+06 | 1.267512e+06 | 1.293523e+06 | 1.321202e+06 | 1.350345e+06 | 1.380838e+06 | 1.412669e+06 | 1.445958e+06 | 1.480841e+06 | 1.517448e+06 | 1.555880e+06 | 1.596154e+06 | 1.638139e+06 | 1.681495e+06 | 1.725744e+06 | 1.770526e+06 | 1.815698e+06 | 1.861283e+06 |
| 86 | 86 | Equatorial Guinea | GNQ | Population, total | SP.POP.TOTL | 2.553230e+05 | 2.589470e+05 | 2.625900e+05 | 2.665980e+05 | 2.714570e+05 | 2.773960e+05 | 2.848680e+05 | 2.934400e+05 | 3.013530e+05 | 3.062330e+05 | 3.065150e+05 | 3.016660e+05 | 2.925850e+05 | 2.810210e+05 | 2.694260e+05 | 2.597470e+05 | 2.521940e+05 | 2.466770e+05 | 2.444850e+05 | 2.470780e+05 | 2.553250e+05 | 2.700630e+05 | 2.906170e+05 | 3.144750e+05 | 3.380860e+05 | 3.588960e+05 | 3.760240e+05 | 3.901730e+05 | 4.023260e+05 | 4.141380e+05 | 4.268460e+05 | 4.406240e+05 | 4.551480e+05 | 4.706100e+05 | 4.871400e+05 | 5.048710e+05 | 5.239990e+05 | 5.446360e+05 | 5.666730e+05 | 5.899380e+05 | 6.143230e+05 | 6.397620e+05 | 6.664070e+05 | 6.946110e+05 | 7.248170e+05 | 7.573170e+05 | 7.922170e+05 | 8.293270e+05 | 8.684180e+05 | 9.091110e+05 | 9.511040e+05 | 9.942900e+05 | 1.038593e+06 | 1.083746e+06 | 1.129424e+06 | 1.175389e+06 | 1.221490e+06 | 1.267689e+06 |
| 87 | 87 | Greece | GRC | Population, total | SP.POP.TOTL | 8.331725e+06 | 8.398050e+06 | 8.448233e+06 | 8.479625e+06 | 8.510429e+06 | 8.550333e+06 | 8.613651e+06 | 8.684088e+06 | 8.740765e+06 | 8.772764e+06 | 8.792806e+06 | 8.831036e+06 | 8.888628e+06 | 8.929086e+06 | 8.962022e+06 | 9.046541e+06 | 9.188150e+06 | 9.308479e+06 | 9.429959e+06 | 9.548258e+06 | 9.642505e+06 | 9.729350e+06 | 9.789513e+06 | 9.846627e+06 | 9.895801e+06 | 9.934300e+06 | 9.967213e+06 | 1.000060e+07 | 1.003698e+07 | 1.008950e+07 | 1.019679e+07 | 1.031993e+07 | 1.039906e+07 | 1.046042e+07 | 1.051292e+07 | 1.056215e+07 | 1.060880e+07 | 1.066126e+07 | 1.072051e+07 | 1.076170e+07 | 1.080581e+07 | 1.086213e+07 | 1.090202e+07 | 1.092807e+07 | 1.095514e+07 | 1.098731e+07 | 1.102036e+07 | 1.104847e+07 | 1.107784e+07 | 1.110702e+07 | 1.112134e+07 | 1.110490e+07 | 1.104501e+07 | 1.096521e+07 | 1.089241e+07 | 1.082088e+07 | 1.077597e+07 | 1.076042e+07 |
| 88 | 88 | Grenada | GRD | Population, total | SP.POP.TOTL | 8.986900e+04 | 9.126000e+04 | 9.242500e+04 | 9.335000e+04 | 9.406600e+04 | 9.458100e+04 | 9.487500e+04 | 9.496100e+04 | 9.486800e+04 | 9.468200e+04 | 9.442600e+04 | 9.418500e+04 | 9.393400e+04 | 9.363000e+04 | 9.315200e+04 | 9.244800e+04 | 9.143700e+04 | 9.018400e+04 | 8.907300e+04 | 8.856800e+04 | 8.900500e+04 | 9.057200e+04 | 9.309100e+04 | 9.598500e+04 | 9.843900e+04 | 9.990600e+04 | 1.001430e+05 | 9.938000e+04 | 9.806200e+04 | 9.686900e+04 | 9.628300e+04 | 9.645400e+04 | 9.719800e+04 | 9.830500e+04 | 9.940500e+04 | 1.002550e+05 | 1.007960e+05 | 1.011220e+05 | 1.013090e+05 | 1.014420e+05 | 1.016190e+05 | 1.018490e+05 | 1.021000e+05 | 1.023750e+05 | 1.026560e+05 | 1.029490e+05 | 1.032590e+05 | 1.035860e+05 | 1.039300e+05 | 1.042960e+05 | 1.046770e+05 | 1.050750e+05 | 1.054810e+05 | 1.059090e+05 | 1.063600e+05 | 1.068230e+05 | 1.073170e+05 | 1.078250e+05 |
| 89 | 89 | Greenland | GRL | Population, total | SP.POP.TOTL | 3.250000e+04 | 3.370000e+04 | 3.500000e+04 | 3.640000e+04 | 3.760000e+04 | 3.920000e+04 | 4.050000e+04 | 4.190000e+04 | 4.340000e+04 | 4.490000e+04 | 4.640000e+04 | 4.720000e+04 | 4.830000e+04 | 4.900000e+04 | 4.950000e+04 | 4.960000e+04 | 4.970000e+04 | 4.940000e+04 | 4.920000e+04 | 4.960000e+04 | 5.020000e+04 | 5.100000e+04 | 5.150000e+04 | 5.210000e+04 | 5.270000e+04 | 5.320000e+04 | 5.350000e+04 | 5.410000e+04 | 5.480000e+04 | 5.530000e+04 | 5.560000e+04 | 5.550000e+04 | 5.530000e+04 | 5.520000e+04 | 5.550000e+04 | 5.580000e+04 | 5.590000e+04 | 5.600000e+04 | 5.610000e+04 | 5.610000e+04 | 5.620000e+04 | 5.635000e+04 | 5.660900e+04 | 5.676500e+04 | 5.691100e+04 | 5.693500e+04 | 5.677400e+04 | 5.655500e+04 | 5.632800e+04 | 5.632300e+04 | 5.690500e+04 | 5.689000e+04 | 5.681000e+04 | 5.648300e+04 | 5.629500e+04 | 5.611400e+04 | 5.618600e+04 | 5.617100e+04 |
| 90 | 90 | Guatemala | GTM | Population, total | SP.POP.TOTL | 4.210747e+06 | 4.336143e+06 | 4.464249e+06 | 4.595510e+06 | 4.730540e+06 | 4.869716e+06 | 5.013153e+06 | 5.160609e+06 | 5.311615e+06 | 5.465512e+06 | 5.621792e+06 | 5.780480e+06 | 5.941567e+06 | 6.104530e+06 | 6.268707e+06 | 6.433728e+06 | 6.599214e+06 | 6.765516e+06 | 6.933906e+06 | 7.106145e+06 | 7.283459e+06 | 7.466488e+06 | 7.654819e+06 | 7.847472e+06 | 8.042897e+06 | 8.240060e+06 | 8.438604e+06 | 8.639108e+06 | 8.842575e+06 | 9.050465e+06 | 9.263813e+06 | 9.483270e+06 | 9.708544e+06 | 9.938692e+06 | 1.017230e+07 | 1.040849e+07 | 1.064667e+07 | 1.088763e+07 | 1.113350e+07 | 1.138720e+07 | 1.165074e+07 | 1.192495e+07 | 1.220885e+07 | 1.250048e+07 | 1.279692e+07 | 1.309603e+07 | 1.339701e+07 | 1.370029e+07 | 1.400637e+07 | 1.431621e+07 | 1.463042e+07 | 1.494892e+07 | 1.527106e+07 | 1.559621e+07 | 1.592356e+07 | 1.625243e+07 | 1.658247e+07 | 1.691350e+07 |
| 91 | 91 | Guam | GUM | Population, total | SP.POP.TOTL | 6.674200e+04 | 6.807200e+04 | 6.960400e+04 | 7.128600e+04 | 7.305100e+04 | 7.483000e+04 | 7.660700e+04 | 7.840400e+04 | 8.021700e+04 | 8.204000e+04 | 8.387700e+04 | 8.572600e+04 | 8.758700e+04 | 8.946400e+04 | 9.137700e+04 | 9.335200e+04 | 9.538500e+04 | 9.747700e+04 | 9.963000e+04 | 1.018440e+05 | 1.041330e+05 | 1.064850e+05 | 1.089060e+05 | 1.114020e+05 | 1.139610e+05 | 1.165720e+05 | 1.192320e+05 | 1.219190e+05 | 1.246730e+05 | 1.275220e+05 | 1.304820e+05 | 1.335580e+05 | 1.366920e+05 | 1.398180e+05 | 1.428020e+05 | 1.455610e+05 | 1.480600e+05 | 1.503030e+05 | 1.522770e+05 | 1.539530e+05 | 1.553290e+05 | 1.564010e+05 | 1.571750e+05 | 1.577140e+05 | 1.580990e+05 | 1.584020e+05 | 1.586480e+05 | 1.588550e+05 | 1.590350e+05 | 1.592310e+05 | 1.594440e+05 | 1.596780e+05 | 1.599730e+05 | 1.603750e+05 | 1.609670e+05 | 1.617970e+05 | 1.628960e+05 | 1.642290e+05 |
| 92 | 92 | Guyana | GUY | Population, total | SP.POP.TOTL | 5.718190e+05 | 5.892740e+05 | 6.062850e+05 | 6.225750e+05 | 6.378450e+05 | 6.518680e+05 | 6.645210e+05 | 6.758710e+05 | 6.861460e+05 | 6.957450e+05 | 7.049340e+05 | 7.136840e+05 | 7.219480e+05 | 7.299160e+05 | 7.378470e+05 | 7.458410e+05 | 7.541010e+05 | 7.624240e+05 | 7.701250e+05 | 7.762540e+05 | 7.801530e+05 | 7.817320e+05 | 7.812460e+05 | 7.789480e+05 | 7.752190e+05 | 7.704350e+05 | 7.644590e+05 | 7.575060e+05 | 7.507310e+05 | 7.456650e+05 | 7.433090e+05 | 7.442890e+05 | 7.481340e+05 | 7.534840e+05 | 7.583420e+05 | 7.612910e+05 | 7.618610e+05 | 7.605100e+05 | 7.579520e+05 | 7.552780e+05 | 7.533010e+05 | 7.522630e+05 | 7.518840e+05 | 7.518570e+05 | 7.516520e+05 | 7.509460e+05 | 7.496010e+05 | 7.478690e+05 | 7.463140e+05 | 7.456930e+05 | 7.465560e+05 | 7.491000e+05 | 7.530910e+05 | 7.580810e+05 | 7.633930e+05 | 7.685140e+05 | 7.733030e+05 | 7.778590e+05 |
| 93 | 93 | High income | HIC | Population, total | SP.POP.TOTL | 7.805019e+08 | 7.922469e+08 | 8.026422e+08 | 8.129553e+08 | 8.231546e+08 | 8.329597e+08 | 8.421277e+08 | 8.509046e+08 | 8.587067e+08 | 8.682242e+08 | 8.767867e+08 | 8.860038e+08 | 8.953875e+08 | 9.039124e+08 | 9.135110e+08 | 9.225734e+08 | 9.301713e+08 | 9.379903e+08 | 9.458800e+08 | 9.541429e+08 | 9.622283e+08 | 9.703380e+08 | 9.780563e+08 | 9.853499e+08 | 9.922957e+08 | 9.992782e+08 | 1.006551e+09 | 1.013806e+09 | 1.021210e+09 | 1.029042e+09 | 1.037334e+09 | 1.045799e+09 | 1.052657e+09 | 1.061248e+09 | 1.069147e+09 | 1.078559e+09 | 1.086072e+09 | 1.093604e+09 | 1.100764e+09 | 1.108003e+09 | 1.115010e+09 | 1.122635e+09 | 1.130300e+09 | 1.137953e+09 | 1.145972e+09 | 1.154156e+09 | 1.162908e+09 | 1.172156e+09 | 1.181963e+09 | 1.190791e+09 | 1.198787e+09 | 1.204631e+09 | 1.212058e+09 | 1.219557e+09 | 1.227212e+09 | 1.234714e+09 | 1.242138e+09 | 1.249066e+09 |
| 94 | 94 | Hong Kong SAR, China | HKG | Population, total | SP.POP.TOTL | 3.075605e+06 | 3.168100e+06 | 3.305200e+06 | 3.420900e+06 | 3.504600e+06 | 3.597900e+06 | 3.629900e+06 | 3.722800e+06 | 3.802700e+06 | 3.863900e+06 | 3.959000e+06 | 4.045300e+06 | 4.123600e+06 | 4.241600e+06 | 4.377800e+06 | 4.461600e+06 | 4.518000e+06 | 4.583700e+06 | 4.667500e+06 | 4.929700e+06 | 5.063100e+06 | 5.183400e+06 | 5.264500e+06 | 5.345100e+06 | 5.397900e+06 | 5.456200e+06 | 5.524600e+06 | 5.580500e+06 | 5.627600e+06 | 5.686200e+06 | 5.704500e+06 | 5.752000e+06 | 5.800500e+06 | 5.901000e+06 | 6.035400e+06 | 6.156100e+06 | 6.435500e+06 | 6.489300e+06 | 6.543700e+06 | 6.606500e+06 | 6.665000e+06 | 6.714300e+06 | 6.744100e+06 | 6.730800e+06 | 6.783500e+06 | 6.813200e+06 | 6.857100e+06 | 6.916300e+06 | 6.957800e+06 | 6.972800e+06 | 7.024200e+06 | 7.071600e+06 | 7.150100e+06 | 7.178900e+06 | 7.229500e+06 | 7.291300e+06 | 7.336600e+06 | 7.391700e+06 |
| 95 | 95 | Honduras | HND | Population, total | SP.POP.TOTL | 2.038637e+06 | 2.096407e+06 | 2.155652e+06 | 2.216707e+06 | 2.280045e+06 | 2.346010e+06 | 2.414807e+06 | 2.486414e+06 | 2.560727e+06 | 2.637517e+06 | 2.716659e+06 | 2.798125e+06 | 2.882113e+06 | 2.968994e+06 | 3.059254e+06 | 3.153261e+06 | 3.251158e+06 | 3.352835e+06 | 3.458104e+06 | 3.566665e+06 | 3.678286e+06 | 3.792938e+06 | 3.910657e+06 | 4.031349e+06 | 4.154887e+06 | 4.281189e+06 | 4.410158e+06 | 4.541804e+06 | 4.676361e+06 | 4.814137e+06 | 4.955328e+06 | 5.099951e+06 | 5.247836e+06 | 5.398805e+06 | 5.552625e+06 | 5.709051e+06 | 5.867849e+06 | 6.028882e+06 | 6.192026e+06 | 6.357221e+06 | 6.524283e+06 | 6.693061e+06 | 6.863157e+06 | 7.033821e+06 | 7.204153e+06 | 7.373430e+06 | 7.541406e+06 | 7.707972e+06 | 7.872658e+06 | 8.035021e+06 | 8.194778e+06 | 8.351600e+06 | 8.505646e+06 | 8.657785e+06 | 8.809216e+06 | 8.960829e+06 | 9.112867e+06 | 9.265067e+06 |
| 96 | 96 | Heavily indebted poor countries (HIPC) | HPC | Population, total | SP.POP.TOTL | 1.624956e+08 | 1.663485e+08 | 1.703481e+08 | 1.745022e+08 | 1.788206e+08 | 1.833111e+08 | 1.879765e+08 | 1.928172e+08 | 1.978361e+08 | 2.030350e+08 | 2.084151e+08 | 2.139785e+08 | 2.197243e+08 | 2.256456e+08 | 2.317329e+08 | 2.379792e+08 | 2.443941e+08 | 2.509819e+08 | 2.577256e+08 | 2.646024e+08 | 2.716032e+08 | 2.787282e+08 | 2.860060e+08 | 2.934923e+08 | 3.012604e+08 | 3.093701e+08 | 3.178253e+08 | 3.266315e+08 | 3.358478e+08 | 3.455446e+08 | 3.557622e+08 | 3.665519e+08 | 3.778792e+08 | 3.895942e+08 | 4.014882e+08 | 4.134188e+08 | 4.253244e+08 | 4.372698e+08 | 4.493938e+08 | 4.618997e+08 | 4.749356e+08 | 4.885530e+08 | 5.027107e+08 | 5.173526e+08 | 5.323852e+08 | 5.477444e+08 | 5.634151e+08 | 5.794341e+08 | 5.958498e+08 | 6.127315e+08 | 6.301274e+08 | 6.480533e+08 | 6.664886e+08 | 6.854020e+08 | 7.047454e+08 | 7.244827e+08 | 7.446030e+08 | 7.651123e+08 |
| 97 | 97 | Croatia | HRV | Population, total | SP.POP.TOTL | 4.140000e+06 | 4.171672e+06 | 4.202104e+06 | 4.231408e+06 | 4.259680e+06 | 4.287000e+06 | 4.313000e+06 | 4.339000e+06 | 4.364000e+06 | 4.387000e+06 | 4.411000e+06 | 4.435000e+06 | 4.457000e+06 | 4.478000e+06 | 4.497000e+06 | 4.514000e+06 | 4.530000e+06 | 4.532000e+06 | 4.556000e+06 | 4.571000e+06 | 4.588000e+06 | 4.608000e+06 | 4.635000e+06 | 4.659000e+06 | 4.680000e+06 | 4.701000e+06 | 4.722000e+06 | 4.740000e+06 | 4.757000e+06 | 4.767000e+06 | 4.780000e+06 | 4.510000e+06 | 4.470000e+06 | 4.640000e+06 | 4.650000e+06 | 4.669000e+06 | 4.494000e+06 | 4.572000e+06 | 4.501000e+06 | 4.554000e+06 | 4.426000e+06 | 4.440000e+06 | 4.440000e+06 | 4.440000e+06 | 4.439000e+06 | 4.442000e+06 | 4.440000e+06 | 4.436000e+06 | 4.434508e+06 | 4.429078e+06 | 4.417781e+06 | 4.280622e+06 | 4.267558e+06 | 4.255689e+06 | 4.238389e+06 | 4.203604e+06 | 4.174349e+06 | 4.125700e+06 |
| 98 | 98 | Haiti | HTI | Population, total | SP.POP.TOTL | 3.866159e+06 | 3.943364e+06 | 4.022593e+06 | 4.103730e+06 | 4.186640e+06 | 4.271133e+06 | 4.357484e+06 | 4.445530e+06 | 4.534234e+06 | 4.622208e+06 | 4.708642e+06 | 4.793155e+06 | 4.876560e+06 | 4.960657e+06 | 5.047944e+06 | 5.140357e+06 | 5.238245e+06 | 5.341419e+06 | 5.450549e+06 | 5.566266e+06 | 5.688836e+06 | 5.818671e+06 | 5.955267e+06 | 6.096692e+06 | 6.240329e+06 | 6.384195e+06 | 6.527543e+06 | 6.670568e+06 | 6.813348e+06 | 6.956300e+06 | 7.099732e+06 | 7.243391e+06 | 7.386975e+06 | 7.530705e+06 | 7.674911e+06 | 7.819806e+06 | 7.965553e+06 | 8.111951e+06 | 8.258483e+06 | 8.404398e+06 | 8.549200e+06 | 8.692567e+06 | 8.834733e+06 | 8.976552e+06 | 9.119178e+06 | 9.263404e+06 | 9.409457e+06 | 9.556889e+06 | 9.705029e+06 | 9.852870e+06 | 9.999617e+06 | 1.014505e+07 | 1.028921e+07 | 1.043178e+07 | 1.057247e+07 | 1.071106e+07 | 1.084733e+07 | 1.098123e+07 |
| 99 | 99 | Hungary | HUN | Population, total | SP.POP.TOTL | 9.983967e+06 | 1.002932e+07 | 1.006173e+07 | 1.008795e+07 | 1.011984e+07 | 1.014794e+07 | 1.017865e+07 | 1.021660e+07 | 1.025582e+07 | 1.029872e+07 | 1.033791e+07 | 1.036754e+07 | 1.039849e+07 | 1.043206e+07 | 1.047872e+07 | 1.054052e+07 | 1.059868e+07 | 1.064803e+07 | 1.068482e+07 | 1.070415e+07 | 1.071112e+07 | 1.071185e+07 | 1.070554e+07 | 1.068946e+07 | 1.066810e+07 | 1.064871e+07 | 1.063056e+07 | 1.061274e+07 | 1.059649e+07 | 1.048172e+07 | 1.037399e+07 | 1.037340e+07 | 1.036934e+07 | 1.035752e+07 | 1.034336e+07 | 1.032896e+07 | 1.031124e+07 | 1.029049e+07 | 1.026657e+07 | 1.023753e+07 | 1.021097e+07 | 1.018758e+07 | 1.015861e+07 | 1.012955e+07 | 1.010715e+07 | 1.008706e+07 | 1.007137e+07 | 1.005578e+07 | 1.003819e+07 | 1.002265e+07 | 1.000002e+07 | 9.971727e+06 | 9.920362e+06 | 9.893082e+06 | 9.866468e+06 | 9.843028e+06 | 9.814023e+06 | 9.781127e+06 |
| 100 | 100 | IBRD only | IBD | Population, total | SP.POP.TOTL | 1.917374e+09 | 1.938089e+09 | 1.971768e+09 | 2.017341e+09 | 2.063005e+09 | 2.109874e+09 | 2.159940e+09 | 2.209648e+09 | 2.260718e+09 | 2.313952e+09 | 2.368641e+09 | 2.424660e+09 | 2.479752e+09 | 2.534560e+09 | 2.588512e+09 | 2.640676e+09 | 2.691718e+09 | 2.741669e+09 | 2.792126e+09 | 2.843527e+09 | 2.895418e+09 | 2.948771e+09 | 3.004919e+09 | 3.061651e+09 | 3.117858e+09 | 3.174933e+09 | 3.233584e+09 | 3.293767e+09 | 3.354132e+09 | 3.413637e+09 | 3.471575e+09 | 3.527565e+09 | 3.581733e+09 | 3.634875e+09 | 3.687118e+09 | 3.738698e+09 | 3.789573e+09 | 3.840453e+09 | 3.890435e+09 | 3.939169e+09 | 3.986056e+09 | 4.032085e+09 | 4.077072e+09 | 4.121739e+09 | 4.166121e+09 | 4.210445e+09 | 4.254417e+09 | 4.297927e+09 | 4.341646e+09 | 4.385943e+09 | 4.430023e+09 | 4.474451e+09 | 4.519552e+09 | 4.564885e+09 | 4.610016e+09 | 4.654714e+09 | 4.699232e+09 | 4.743264e+09 |
| 101 | 101 | IDA & IBRD total | IBT | Population, total | SP.POP.TOTL | 2.299864e+09 | 2.329889e+09 | 2.373238e+09 | 2.428869e+09 | 2.485008e+09 | 2.542785e+09 | 2.604232e+09 | 2.665770e+09 | 2.729022e+09 | 2.794659e+09 | 2.861878e+09 | 2.930529e+09 | 2.998418e+09 | 3.066319e+09 | 3.133856e+09 | 3.200230e+09 | 3.266160e+09 | 3.331645e+09 | 3.398253e+09 | 3.466364e+09 | 3.535476e+09 | 3.606561e+09 | 3.680973e+09 | 3.756520e+09 | 3.832103e+09 | 3.909126e+09 | 3.988290e+09 | 4.069535e+09 | 4.151492e+09 | 4.233121e+09 | 4.313726e+09 | 4.392786e+09 | 4.470538e+09 | 4.547599e+09 | 4.623980e+09 | 4.699924e+09 | 4.775396e+09 | 4.851072e+09 | 4.925951e+09 | 4.999779e+09 | 5.072467e+09 | 5.144856e+09 | 5.216716e+09 | 5.288758e+09 | 5.361008e+09 | 5.433668e+09 | 5.506476e+09 | 5.579376e+09 | 5.653072e+09 | 5.727964e+09 | 5.803571e+09 | 5.880131e+09 | 5.957668e+09 | 6.036113e+09 | 6.114993e+09 | 6.194063e+09 | 6.273585e+09 | 6.353205e+09 |
| 102 | 102 | IDA total | IDA | Population, total | SP.POP.TOTL | 3.824897e+08 | 3.917995e+08 | 4.014704e+08 | 4.115278e+08 | 4.220027e+08 | 4.329111e+08 | 4.442922e+08 | 4.561222e+08 | 4.683048e+08 | 4.807064e+08 | 4.932372e+08 | 5.058685e+08 | 5.186658e+08 | 5.317590e+08 | 5.453449e+08 | 5.595542e+08 | 5.744415e+08 | 5.899757e+08 | 6.061273e+08 | 6.228371e+08 | 6.400582e+08 | 6.577896e+08 | 6.760541e+08 | 6.948682e+08 | 7.142452e+08 | 7.341929e+08 | 7.547060e+08 | 7.757677e+08 | 7.973600e+08 | 8.194847e+08 | 8.421512e+08 | 8.652215e+08 | 8.888044e+08 | 9.127239e+08 | 9.368628e+08 | 9.612255e+08 | 9.858227e+08 | 1.010619e+09 | 1.035516e+09 | 1.060610e+09 | 1.086411e+09 | 1.112771e+09 | 1.139644e+09 | 1.167019e+09 | 1.194887e+09 | 1.223223e+09 | 1.252059e+09 | 1.281449e+09 | 1.311426e+09 | 1.342020e+09 | 1.373548e+09 | 1.405680e+09 | 1.438116e+09 | 1.471228e+09 | 1.504978e+09 | 1.539348e+09 | 1.574353e+09 | 1.609941e+09 |
| 103 | 103 | IDA blend | IDB | Population, total | SP.POP.TOTL | 1.231951e+08 | 1.261460e+08 | 1.292359e+08 | 1.324602e+08 | 1.358101e+08 | 1.392831e+08 | 1.428842e+08 | 1.466188e+08 | 1.504827e+08 | 1.544725e+08 | 1.585886e+08 | 1.628267e+08 | 1.671986e+08 | 1.717517e+08 | 1.765454e+08 | 1.816196e+08 | 1.869937e+08 | 1.926510e+08 | 1.985663e+08 | 2.046958e+08 | 2.110072e+08 | 2.174848e+08 | 2.241298e+08 | 2.309440e+08 | 2.379351e+08 | 2.451020e+08 | 2.524451e+08 | 2.599441e+08 | 2.675497e+08 | 2.752001e+08 | 2.828998e+08 | 2.904870e+08 | 2.981181e+08 | 3.057597e+08 | 3.134020e+08 | 3.211074e+08 | 3.289644e+08 | 3.369246e+08 | 3.449398e+08 | 3.529151e+08 | 3.610505e+08 | 3.692463e+08 | 3.775441e+08 | 3.859803e+08 | 3.946257e+08 | 4.035269e+08 | 4.127059e+08 | 4.222042e+08 | 4.320328e+08 | 4.421793e+08 | 4.529474e+08 | 4.639978e+08 | 4.749935e+08 | 4.862619e+08 | 4.977516e+08 | 5.093964e+08 | 5.211590e+08 | 5.330235e+08 |
| 104 | 104 | Indonesia | IDN | Population, total | SP.POP.TOTL | 8.779252e+07 | 9.013824e+07 | 9.255800e+07 | 9.505566e+07 | 9.763803e+07 | 1.003089e+08 | 1.030674e+08 | 1.059074e+08 | 1.088216e+08 | 1.118001e+08 | 1.148348e+08 | 1.179220e+08 | 1.210595e+08 | 1.242423e+08 | 1.274652e+08 | 1.307241e+08 | 1.340107e+08 | 1.373221e+08 | 1.406659e+08 | 1.440535e+08 | 1.474904e+08 | 1.509788e+08 | 1.545063e+08 | 1.580443e+08 | 1.615556e+08 | 1.650122e+08 | 1.684020e+08 | 1.717289e+08 | 1.750009e+08 | 1.782332e+08 | 1.814368e+08 | 1.846160e+08 | 1.877661e+08 | 1.908795e+08 | 1.939453e+08 | 1.969578e+08 | 1.999148e+08 | 2.028265e+08 | 2.057155e+08 | 2.086126e+08 | 2.115404e+08 | 2.145065e+08 | 2.175081e+08 | 2.205452e+08 | 2.236146e+08 | 2.267127e+08 | 2.298382e+08 | 2.329891e+08 | 2.361593e+08 | 2.393405e+08 | 2.425241e+08 | 2.457075e+08 | 2.488832e+08 | 2.520323e+08 | 2.551311e+08 | 2.581621e+08 | 2.611155e+08 | 2.639914e+08 |
| 105 | 105 | IDA only | IDX | Population, total | SP.POP.TOTL | 2.592947e+08 | 2.656536e+08 | 2.722345e+08 | 2.790675e+08 | 2.861926e+08 | 2.936279e+08 | 3.014080e+08 | 3.095034e+08 | 3.178222e+08 | 3.262338e+08 | 3.346486e+08 | 3.430418e+08 | 3.514672e+08 | 3.600073e+08 | 3.687994e+08 | 3.779346e+08 | 3.874478e+08 | 3.973248e+08 | 4.075610e+08 | 4.181413e+08 | 4.290510e+08 | 4.403048e+08 | 4.519242e+08 | 4.639243e+08 | 4.763101e+08 | 4.890909e+08 | 5.022609e+08 | 5.158236e+08 | 5.298103e+08 | 5.442846e+08 | 5.592514e+08 | 5.747344e+08 | 5.906863e+08 | 6.069641e+08 | 6.234608e+08 | 6.401181e+08 | 6.568583e+08 | 6.736944e+08 | 6.905763e+08 | 7.076952e+08 | 7.253601e+08 | 7.435251e+08 | 7.620999e+08 | 7.810389e+08 | 8.002610e+08 | 8.196963e+08 | 8.393534e+08 | 8.592445e+08 | 8.793931e+08 | 8.998409e+08 | 9.206007e+08 | 9.416826e+08 | 9.631227e+08 | 9.849661e+08 | 1.007226e+09 | 1.029952e+09 | 1.053194e+09 | 1.076917e+09 |
| 106 | 106 | Isle of Man | IMN | Population, total | SP.POP.TOTL | 4.844200e+04 | 4.828100e+04 | 4.841800e+04 | 4.880000e+04 | 4.939100e+04 | 5.014100e+04 | 5.104900e+04 | 5.211800e+04 | 5.325400e+04 | 5.437600e+04 | 5.542500e+04 | 5.635200e+04 | 5.715400e+04 | 5.790000e+04 | 5.865500e+04 | 5.947800e+04 | 6.042800e+04 | 6.144300e+04 | 6.240600e+04 | 6.315100e+04 | 6.355100e+04 | 6.354000e+04 | 6.319100e+04 | 6.273000e+04 | 6.248700e+04 | 6.269600e+04 | 6.344100e+04 | 6.463000e+04 | 6.604700e+04 | 6.738800e+04 | 6.842900e+04 | 6.909600e+04 | 6.947500e+04 | 6.965600e+04 | 6.981800e+04 | 7.007000e+04 | 7.043100e+04 | 7.086900e+04 | 7.139000e+04 | 7.195200e+04 | 7.255400e+04 | 7.319200e+04 | 7.387000e+04 | 7.458700e+04 | 7.534100e+04 | 7.611800e+04 | 7.691400e+04 | 7.772700e+04 | 7.853400e+04 | 7.932500e+04 | 8.007200e+04 | 8.075900e+04 | 8.140600e+04 | 8.201300e+04 | 8.259000e+04 | 8.316700e+04 | 8.373700e+04 | 8.428700e+04 |
| 107 | 107 | India | IND | Population, total | SP.POP.TOTL | 4.494806e+08 | 4.584950e+08 | 4.678525e+08 | 4.775280e+08 | 4.874845e+08 | 4.977024e+08 | 5.081619e+08 | 5.188898e+08 | 5.299673e+08 | 5.415051e+08 | 5.535785e+08 | 5.662248e+08 | 5.794115e+08 | 5.930589e+08 | 6.070503e+08 | 6.213017e+08 | 6.357717e+08 | 6.504850e+08 | 6.655023e+08 | 6.809158e+08 | 6.967835e+08 | 7.131180e+08 | 7.298680e+08 | 7.469491e+08 | 7.642452e+08 | 7.816667e+08 | 7.991814e+08 | 8.167927e+08 | 8.344893e+08 | 8.522700e+08 | 8.701335e+08 | 8.880549e+08 | 9.060211e+08 | 9.240578e+08 | 9.422042e+08 | 9.604828e+08 | 9.788932e+08 | 9.974053e+08 | 1.015974e+09 | 1.034539e+09 | 1.053051e+09 | 1.071478e+09 | 1.089807e+09 | 1.108028e+09 | 1.126136e+09 | 1.144119e+09 | 1.161978e+09 | 1.179681e+09 | 1.197147e+09 | 1.214270e+09 | 1.230981e+09 | 1.247236e+09 | 1.263066e+09 | 1.278562e+09 | 1.293859e+09 | 1.309054e+09 | 1.324171e+09 | 1.339180e+09 |
| 108 | 108 | Not classified | INX | Population, total | SP.POP.TOTL | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 109 | 109 | Ireland | IRL | Population, total | SP.POP.TOTL | 2.828600e+06 | 2.824400e+06 | 2.836050e+06 | 2.852650e+06 | 2.866550e+06 | 2.877300e+06 | 2.888800e+06 | 2.902450e+06 | 2.915550e+06 | 2.932650e+06 | 2.957250e+06 | 2.992050e+06 | 3.036850e+06 | 3.085950e+06 | 3.137500e+06 | 3.189550e+06 | 3.238050e+06 | 3.282200e+06 | 3.329100e+06 | 3.373750e+06 | 3.412800e+06 | 3.453000e+06 | 3.485800e+06 | 3.510600e+06 | 3.532423e+06 | 3.538082e+06 | 3.539690e+06 | 3.540057e+06 | 3.524949e+06 | 3.511009e+06 | 3.513974e+06 | 3.534235e+06 | 3.558430e+06 | 3.576261e+06 | 3.590386e+06 | 3.608841e+06 | 3.637510e+06 | 3.674171e+06 | 3.712696e+06 | 3.754786e+06 | 3.805174e+06 | 3.866243e+06 | 3.931947e+06 | 3.996521e+06 | 4.070262e+06 | 4.159914e+06 | 4.273591e+06 | 4.398942e+06 | 4.489544e+06 | 4.535375e+06 | 4.560155e+06 | 4.580084e+06 | 4.599533e+06 | 4.623816e+06 | 4.657740e+06 | 4.701957e+06 | 4.755335e+06 | 4.813608e+06 |
| 110 | 110 | Iran, Islamic Rep. | IRN | Population, total | SP.POP.TOTL | 2.190690e+07 | 2.248042e+07 | 2.307143e+07 | 2.368043e+07 | 2.430808e+07 | 2.495512e+07 | 2.562466e+07 | 2.631812e+07 | 2.703294e+07 | 2.776524e+07 | 2.851401e+07 | 2.928127e+07 | 3.007430e+07 | 3.090427e+07 | 3.178550e+07 | 3.273055e+07 | 3.373777e+07 | 3.481072e+07 | 3.597265e+07 | 3.725266e+07 | 3.866822e+07 | 4.021763e+07 | 4.188333e+07 | 4.364509e+07 | 4.547471e+07 | 4.734270e+07 | 4.925684e+07 | 5.119748e+07 | 5.307562e+07 | 5.477711e+07 | 5.622618e+07 | 5.737558e+07 | 5.826074e+07 | 5.899122e+07 | 5.972512e+07 | 6.057564e+07 | 6.158309e+07 | 6.271056e+07 | 6.390063e+07 | 6.506266e+07 | 6.613185e+07 | 6.709641e+07 | 6.798333e+07 | 6.881271e+07 | 6.961710e+07 | 7.042181e+07 | 7.122788e+07 | 7.203110e+07 | 7.284554e+07 | 7.368756e+07 | 7.456751e+07 | 7.549158e+07 | 7.645357e+07 | 7.743538e+07 | 7.841109e+07 | 7.936049e+07 | 8.027743e+07 | 8.116279e+07 |
| 111 | 111 | Iraq | IRQ | Population, total | SP.POP.TOTL | 7.289761e+06 | 7.475352e+06 | 7.674223e+06 | 7.888914e+06 | 8.122199e+06 | 8.375793e+06 | 8.651164e+06 | 8.947404e+06 | 9.260682e+06 | 9.585576e+06 | 9.917983e+06 | 1.025590e+07 | 1.059984e+07 | 1.095117e+07 | 1.131230e+07 | 1.168459e+07 | 1.206817e+07 | 1.246091e+07 | 1.285909e+07 | 1.325780e+07 | 1.365336e+07 | 1.404654e+07 | 1.443831e+07 | 1.482579e+07 | 1.520550e+07 | 1.557640e+07 | 1.593638e+07 | 1.629015e+07 | 1.665181e+07 | 1.704019e+07 | 1.746900e+07 | 1.794272e+07 | 1.845819e+07 | 1.901192e+07 | 1.959724e+07 | 2.020839e+07 | 2.084589e+07 | 2.150929e+07 | 2.219025e+07 | 2.287816e+07 | 2.356541e+07 | 2.425165e+07 | 2.493930e+07 | 2.562763e+07 | 2.631661e+07 | 2.700843e+07 | 2.769791e+07 | 2.839043e+07 | 2.911142e+07 | 2.989465e+07 | 3.076270e+07 | 3.172705e+07 | 3.277657e+07 | 3.388314e+07 | 3.500608e+07 | 3.611565e+07 | 3.720257e+07 | 3.827462e+07 |
| 112 | 112 | Iceland | ISL | Population, total | SP.POP.TOTL | 1.755740e+05 | 1.790290e+05 | 1.823780e+05 | 1.856530e+05 | 1.889830e+05 | 1.922860e+05 | 1.955700e+05 | 1.987510e+05 | 2.014880e+05 | 2.033690e+05 | 2.044380e+05 | 2.060980e+05 | 2.091370e+05 | 2.123170e+05 | 2.152090e+05 | 2.179790e+05 | 2.201540e+05 | 2.217990e+05 | 2.235370e+05 | 2.257350e+05 | 2.281380e+05 | 2.307550e+05 | 2.338600e+05 | 2.369770e+05 | 2.395110e+05 | 2.414050e+05 | 2.431800e+05 | 2.458590e+05 | 2.497400e+05 | 2.528520e+05 | 2.548260e+05 | 2.577970e+05 | 2.610570e+05 | 2.637250e+05 | 2.660210e+05 | 2.674680e+05 | 2.689160e+05 | 2.711280e+05 | 2.740470e+05 | 2.773810e+05 | 2.812050e+05 | 2.849680e+05 | 2.875230e+05 | 2.895210e+05 | 2.920740e+05 | 2.967340e+05 | 3.037820e+05 | 3.115660e+05 | 3.174140e+05 | 3.184990e+05 | 3.180410e+05 | 3.190140e+05 | 3.207160e+05 | 3.237640e+05 | 3.273860e+05 | 3.308150e+05 | 3.354390e+05 | 3.412840e+05 |
| 113 | 113 | Israel | ISR | Population, total | SP.POP.TOTL | 2.114020e+06 | 2.185000e+06 | 2.293000e+06 | 2.379000e+06 | 2.475000e+06 | 2.563000e+06 | 2.629000e+06 | 2.745000e+06 | 2.803000e+06 | 2.877000e+06 | 2.974000e+06 | 3.069000e+06 | 3.148000e+06 | 3.278000e+06 | 3.377000e+06 | 3.455000e+06 | 3.533000e+06 | 3.613000e+06 | 3.690000e+06 | 3.786000e+06 | 3.878000e+06 | 3.956000e+06 | 4.031000e+06 | 4.105000e+06 | 4.159000e+06 | 4.233000e+06 | 4.299000e+06 | 4.369000e+06 | 4.442000e+06 | 4.518000e+06 | 4.660000e+06 | 4.949000e+06 | 5.123000e+06 | 5.261000e+06 | 5.399000e+06 | 5.545000e+06 | 5.692000e+06 | 5.836000e+06 | 5.971000e+06 | 6.125000e+06 | 6.289000e+06 | 6.439000e+06 | 6.570000e+06 | 6.689700e+06 | 6.809000e+06 | 6.930100e+06 | 7.053700e+06 | 7.180100e+06 | 7.308800e+06 | 7.485600e+06 | 7.623600e+06 | 7.765800e+06 | 7.910500e+06 | 8.059500e+06 | 8.215700e+06 | 8.380100e+06 | 8.546000e+06 | 8.712400e+06 |
| 114 | 114 | Italy | ITA | Population, total | SP.POP.TOTL | 5.019970e+07 | 5.053635e+07 | 5.087945e+07 | 5.125200e+07 | 5.167535e+07 | 5.211235e+07 | 5.251900e+07 | 5.290050e+07 | 5.323575e+07 | 5.353795e+07 | 5.382185e+07 | 5.407349e+07 | 5.438134e+07 | 5.475141e+07 | 5.511087e+07 | 5.544100e+07 | 5.571826e+07 | 5.595541e+07 | 5.615514e+07 | 5.631775e+07 | 5.643388e+07 | 5.650168e+07 | 5.654355e+07 | 5.656407e+07 | 5.657672e+07 | 5.659307e+07 | 5.659616e+07 | 5.660193e+07 | 5.662929e+07 | 5.667178e+07 | 5.671924e+07 | 5.675852e+07 | 5.679709e+07 | 5.683182e+07 | 5.684340e+07 | 5.684430e+07 | 5.686028e+07 | 5.689037e+07 | 5.690674e+07 | 5.691632e+07 | 5.694211e+07 | 5.697410e+07 | 5.705901e+07 | 5.731320e+07 | 5.768533e+07 | 5.796948e+07 | 5.814398e+07 | 5.843831e+07 | 5.882673e+07 | 5.909536e+07 | 5.927742e+07 | 5.937945e+07 | 5.953972e+07 | 6.023395e+07 | 6.078914e+07 | 6.073058e+07 | 6.062750e+07 | 6.055142e+07 |
| 115 | 115 | Jamaica | JAM | Population, total | SP.POP.TOTL | 1.628252e+06 | 1.650806e+06 | 1.676250e+06 | 1.703395e+06 | 1.730486e+06 | 1.756266e+06 | 1.780264e+06 | 1.803064e+06 | 1.825633e+06 | 1.849414e+06 | 1.875381e+06 | 1.904016e+06 | 1.934828e+06 | 1.966700e+06 | 1.998034e+06 | 2.027737e+06 | 2.055085e+06 | 2.080538e+06 | 2.105664e+06 | 2.132690e+06 | 2.163045e+06 | 2.197583e+06 | 2.235327e+06 | 2.273666e+06 | 2.308947e+06 | 2.338638e+06 | 2.361720e+06 | 2.379279e+06 | 2.393534e+06 | 2.407720e+06 | 2.424242e+06 | 2.443689e+06 | 2.465362e+06 | 2.488782e+06 | 2.513049e+06 | 2.537440e+06 | 2.561993e+06 | 2.586827e+06 | 2.611367e+06 | 2.634882e+06 | 2.656864e+06 | 2.677011e+06 | 2.695446e+06 | 2.712511e+06 | 2.728777e+06 | 2.744673e+06 | 2.760279e+06 | 2.775467e+06 | 2.790122e+06 | 2.804082e+06 | 2.817210e+06 | 2.829493e+06 | 2.840992e+06 | 2.851807e+06 | 2.862087e+06 | 2.871934e+06 | 2.881355e+06 | 2.890299e+06 |
| 116 | 116 | Jordan | JOR | Population, total | SP.POP.TOTL | 9.322570e+05 | 9.730830e+05 | 1.009733e+06 | 1.049302e+06 | 1.101459e+06 | 1.172550e+06 | 1.265806e+06 | 1.377465e+06 | 1.498309e+06 | 1.615277e+06 | 1.718913e+06 | 1.806605e+06 | 1.881214e+06 | 1.945626e+06 | 2.004833e+06 | 2.062918e+06 | 2.120069e+06 | 2.176135e+06 | 2.234594e+06 | 2.299655e+06 | 2.374422e+06 | 2.461193e+06 | 2.559718e+06 | 2.667470e+06 | 2.780428e+06 | 2.895985e+06 | 3.011300e+06 | 3.127917e+06 | 3.252672e+06 | 3.395023e+06 | 3.560582e+06 | 3.753433e+06 | 3.968198e+06 | 4.189431e+06 | 4.395953e+06 | 4.572904e+06 | 4.716373e+06 | 4.832267e+06 | 4.927912e+06 | 5.014899e+06 | 5.103130e+06 | 5.193482e+06 | 5.287488e+06 | 5.396774e+06 | 5.535595e+06 | 5.714111e+06 | 5.934232e+06 | 6.193191e+06 | 6.489822e+06 | 6.821116e+06 | 7.182390e+06 | 7.574943e+06 | 7.992573e+06 | 8.413464e+06 | 8.809306e+06 | 9.159302e+06 | 9.455802e+06 | 9.702353e+06 |
| 117 | 117 | Japan | JPN | Population, total | SP.POP.TOTL | 9.250057e+07 | 9.494300e+07 | 9.583200e+07 | 9.681200e+07 | 9.782600e+07 | 9.888300e+07 | 9.979000e+07 | 1.007250e+08 | 1.010610e+08 | 1.031720e+08 | 1.043450e+08 | 1.056970e+08 | 1.071880e+08 | 1.080790e+08 | 1.101620e+08 | 1.119400e+08 | 1.127710e+08 | 1.138630e+08 | 1.148980e+08 | 1.158700e+08 | 1.167820e+08 | 1.176480e+08 | 1.184490e+08 | 1.192590e+08 | 1.200180e+08 | 1.207540e+08 | 1.214920e+08 | 1.220910e+08 | 1.226130e+08 | 1.231160e+08 | 1.235370e+08 | 1.239210e+08 | 1.242290e+08 | 1.245360e+08 | 1.249610e+08 | 1.254390e+08 | 1.257570e+08 | 1.260570e+08 | 1.264000e+08 | 1.266310e+08 | 1.268430e+08 | 1.271490e+08 | 1.274450e+08 | 1.277180e+08 | 1.277610e+08 | 1.277730e+08 | 1.278540e+08 | 1.280010e+08 | 1.280630e+08 | 1.280470e+08 | 1.280700e+08 | 1.278330e+08 | 1.276290e+08 | 1.274450e+08 | 1.272760e+08 | 1.271410e+08 | 1.269945e+08 | 1.267858e+08 |
| 118 | 118 | Kazakhstan | KAZ | Population, total | SP.POP.TOTL | 9.714260e+06 | 1.012986e+07 | 1.053206e+07 | 1.091355e+07 | 1.126733e+07 | 1.158887e+07 | 1.187294e+07 | 1.212050e+07 | 1.234141e+07 | 1.255012e+07 | 1.275724e+07 | 1.296692e+07 | 1.317658e+07 | 1.338221e+07 | 1.357705e+07 | 1.375679e+07 | 1.392010e+07 | 1.407068e+07 | 1.421511e+07 | 1.436242e+07 | 1.451892e+07 | 1.468379e+07 | 1.485399e+07 | 1.503050e+07 | 1.521405e+07 | 1.540301e+07 | 1.560093e+07 | 1.580175e+07 | 1.598251e+07 | 1.624950e+07 | 1.634800e+07 | 1.645050e+07 | 1.643910e+07 | 1.633042e+07 | 1.609520e+07 | 1.581563e+07 | 1.557789e+07 | 1.533370e+07 | 1.507130e+07 | 1.492843e+07 | 1.488363e+07 | 1.485834e+07 | 1.485895e+07 | 1.490902e+07 | 1.501298e+07 | 1.514703e+07 | 1.530808e+07 | 1.548419e+07 | 1.567400e+07 | 1.609282e+07 | 1.632187e+07 | 1.655720e+07 | 1.679209e+07 | 1.703555e+07 | 1.728828e+07 | 1.754281e+07 | 1.779406e+07 | 1.803765e+07 |
| 119 | 119 | Kenya | KEN | Population, total | SP.POP.TOTL | 8.105440e+06 | 8.361441e+06 | 8.628972e+06 | 8.908422e+06 | 9.200157e+06 | 9.504703e+06 | 9.822499e+06 | 1.015448e+07 | 1.050224e+07 | 1.086772e+07 | 1.125249e+07 | 1.165751e+07 | 1.208319e+07 | 1.252985e+07 | 1.299760e+07 | 1.348663e+07 | 1.399670e+07 | 1.452829e+07 | 1.508299e+07 | 1.566285e+07 | 1.626899e+07 | 1.690168e+07 | 1.755943e+07 | 1.823940e+07 | 1.893774e+07 | 1.965122e+07 | 2.037863e+07 | 2.111932e+07 | 2.187144e+07 | 2.263302e+07 | 2.340251e+07 | 2.417960e+07 | 2.496395e+07 | 2.575411e+07 | 2.654849e+07 | 2.734646e+07 | 2.814773e+07 | 2.895411e+07 | 2.976980e+07 | 3.060040e+07 | 3.145048e+07 | 3.232148e+07 | 3.321401e+07 | 3.413085e+07 | 3.507493e+07 | 3.604829e+07 | 3.705205e+07 | 3.808591e+07 | 3.914842e+07 | 4.023720e+07 | 4.135015e+07 | 4.248684e+07 | 4.364663e+07 | 4.482685e+07 | 4.602425e+07 | 4.723626e+07 | 4.846157e+07 | 4.969986e+07 |
| 120 | 120 | Kyrgyz Republic | KGZ | Population, total | SP.POP.TOTL | 2.172300e+06 | 2.255900e+06 | 2.333400e+06 | 2.413700e+06 | 2.495300e+06 | 2.573300e+06 | 2.655300e+06 | 2.736500e+06 | 2.818300e+06 | 2.894800e+06 | 2.959900e+06 | 3.022300e+06 | 3.088200e+06 | 3.153800e+06 | 3.223900e+06 | 3.292400e+06 | 3.358700e+06 | 3.423900e+06 | 3.487100e+06 | 3.552000e+06 | 3.617400e+06 | 3.685800e+06 | 3.759300e+06 | 3.838300e+06 | 3.916400e+06 | 3.990300e+06 | 4.066500e+06 | 4.144600e+06 | 4.218400e+06 | 4.307500e+06 | 4.391200e+06 | 4.463600e+06 | 4.515400e+06 | 4.516700e+06 | 4.515100e+06 | 4.560400e+06 | 4.628400e+06 | 4.696400e+06 | 4.769000e+06 | 4.840400e+06 | 4.898400e+06 | 4.945100e+06 | 4.990700e+06 | 5.043300e+06 | 5.104700e+06 | 5.162600e+06 | 5.218400e+06 | 5.268400e+06 | 5.318700e+06 | 5.383300e+06 | 5.447900e+06 | 5.514600e+06 | 5.607200e+06 | 5.719600e+06 | 5.835500e+06 | 5.956900e+06 | 6.079500e+06 | 6.201500e+06 |
| 121 | 121 | Cambodia | KHM | Population, total | SP.POP.TOTL | 5.722370e+06 | 5.873015e+06 | 6.028551e+06 | 6.183747e+06 | 6.331583e+06 | 6.467197e+06 | 6.584766e+06 | 6.685321e+06 | 6.778723e+06 | 6.879184e+06 | 6.994848e+06 | 7.137749e+06 | 7.300152e+06 | 7.447285e+06 | 7.531424e+06 | 7.522593e+06 | 7.402873e+06 | 7.194279e+06 | 6.955566e+06 | 6.768724e+06 | 6.692107e+06 | 6.748193e+06 | 6.918101e+06 | 7.168236e+06 | 7.446019e+06 | 7.712978e+06 | 7.958976e+06 | 8.196037e+06 | 8.433798e+06 | 8.689152e+06 | 8.973342e+06 | 9.286976e+06 | 9.621504e+06 | 9.968275e+06 | 1.031538e+07 | 1.065356e+07 | 1.098027e+07 | 1.129588e+07 | 1.159774e+07 | 1.188364e+07 | 1.215235e+07 | 1.240247e+07 | 1.263473e+07 | 1.285312e+07 | 1.306338e+07 | 1.327020e+07 | 1.347449e+07 | 1.367669e+07 | 1.388051e+07 | 1.409021e+07 | 1.430874e+07 | 1.453789e+07 | 1.477687e+07 | 1.502269e+07 | 1.527079e+07 | 1.551764e+07 | 1.576237e+07 | 1.600537e+07 |
| 122 | 122 | Kiribati | KIR | Population, total | SP.POP.TOTL | 4.123300e+04 | 4.225700e+04 | 4.330200e+04 | 4.436300e+04 | 4.542500e+04 | 4.645300e+04 | 4.745900e+04 | 4.843700e+04 | 4.938800e+04 | 5.029400e+04 | 5.117800e+04 | 5.202500e+04 | 5.282400e+04 | 5.360400e+04 | 5.438000e+04 | 5.516900e+04 | 5.597700e+04 | 5.681000e+04 | 5.766200e+04 | 5.850600e+04 | 5.933900e+04 | 6.013300e+04 | 6.092000e+04 | 6.176800e+04 | 6.276500e+04 | 6.400300e+04 | 6.551800e+04 | 6.726100e+04 | 6.909800e+04 | 7.086000e+04 | 7.241200e+04 | 7.370000e+04 | 7.476900e+04 | 7.571900e+04 | 7.667100e+04 | 7.773000e+04 | 7.890700e+04 | 8.018400e+04 | 8.155000e+04 | 8.296600e+04 | 8.440600e+04 | 8.585800e+04 | 8.734300e+04 | 8.889500e+04 | 9.054200e+04 | 9.232500e+04 | 9.426000e+04 | 9.631100e+04 | 9.844000e+04 | 1.005680e+05 | 1.026520e+05 | 1.046560e+05 | 1.066130e+05 | 1.085350e+05 | 1.104580e+05 | 1.124070e+05 | 1.143950e+05 | 1.163980e+05 |
| 123 | 123 | St. Kitts and Nevis | KNA | Population, total | SP.POP.TOTL | 5.119500e+04 | 5.119300e+04 | 5.096600e+04 | 5.052500e+04 | 4.993000e+04 | 4.921400e+04 | 4.835800e+04 | 4.738000e+04 | 4.640200e+04 | 4.553400e+04 | 4.488500e+04 | 4.449500e+04 | 4.432600e+04 | 4.431600e+04 | 4.433100e+04 | 4.427600e+04 | 4.414800e+04 | 4.394200e+04 | 4.370300e+04 | 4.345700e+04 | 4.321000e+04 | 4.297600e+04 | 4.276200e+04 | 4.254200e+04 | 4.229400e+04 | 4.201300e+04 | 4.169700e+04 | 4.135100e+04 | 4.104700e+04 | 4.085200e+04 | 4.083400e+04 | 4.101300e+04 | 4.136100e+04 | 4.184600e+04 | 4.237300e+04 | 4.289100e+04 | 4.337300e+04 | 4.384600e+04 | 4.431700e+04 | 4.482400e+04 | 4.537400e+04 | 4.599000e+04 | 4.664100e+04 | 4.730600e+04 | 4.797100e+04 | 4.861100e+04 | 4.921000e+04 | 4.978300e+04 | 5.033200e+04 | 5.088600e+04 | 5.144500e+04 | 5.200600e+04 | 5.259100e+04 | 5.316900e+04 | 5.373900e+04 | 5.428800e+04 | 5.482100e+04 | 5.534500e+04 |
| 124 | 124 | Korea, Rep. | KOR | Population, total | SP.POP.TOTL | 2.501237e+07 | 2.576567e+07 | 2.651303e+07 | 2.726175e+07 | 2.798416e+07 | 2.870467e+07 | 2.943557e+07 | 3.013098e+07 | 3.083830e+07 | 3.154427e+07 | 3.224083e+07 | 3.288270e+07 | 3.350541e+07 | 3.410315e+07 | 3.469227e+07 | 3.528072e+07 | 3.584852e+07 | 3.641180e+07 | 3.696918e+07 | 3.753424e+07 | 3.812378e+07 | 3.872325e+07 | 3.932635e+07 | 3.991040e+07 | 4.040596e+07 | 4.080574e+07 | 4.121367e+07 | 4.162169e+07 | 4.203125e+07 | 4.244904e+07 | 4.286928e+07 | 4.329570e+07 | 4.374796e+07 | 4.419463e+07 | 4.464154e+07 | 4.509299e+07 | 4.552468e+07 | 4.595358e+07 | 4.628650e+07 | 4.661668e+07 | 4.700811e+07 | 4.737016e+07 | 4.764474e+07 | 4.789233e+07 | 4.808252e+07 | 4.818456e+07 | 4.843829e+07 | 4.868364e+07 | 4.905471e+07 | 4.930784e+07 | 4.955411e+07 | 4.993664e+07 | 5.019985e+07 | 5.042889e+07 | 5.074666e+07 | 5.101495e+07 | 5.124571e+07 | 5.146620e+07 |
| 125 | 125 | Kuwait | KWT | Population, total | SP.POP.TOTL | 2.696180e+05 | 3.013360e+05 | 3.382960e+05 | 3.798910e+05 | 4.252350e+05 | 4.735540e+05 | 5.248560e+05 | 5.790070e+05 | 6.348970e+05 | 6.911290e+05 | 7.467670e+05 | 8.011420e+05 | 8.546040e+05 | 9.085200e+05 | 9.648340e+05 | 1.024940e+06 | 1.089209e+06 | 1.157033e+06 | 1.227601e+06 | 1.299683e+06 | 1.372318e+06 | 1.442991e+06 | 1.511314e+06 | 1.580638e+06 | 1.655833e+06 | 1.738994e+06 | 1.836105e+06 | 1.942810e+06 | 2.038885e+06 | 2.096932e+06 | 2.099615e+06 | 2.035661e+06 | NaN | NaN | NaN | 1.610651e+06 | 1.631740e+06 | 1.715314e+06 | 1.836353e+06 | 1.957066e+06 | 2.050741e+06 | 2.109355e+06 | 2.143833e+06 | 2.169118e+06 | 2.207939e+06 | 2.276623e+06 | 2.377258e+06 | 2.503410e+06 | 2.652340e+06 | 2.818939e+06 | 2.998083e+06 | 3.191051e+06 | 3.395556e+06 | 3.598385e+06 | 3.782450e+06 | 3.935794e+06 | 4.052584e+06 | 4.136528e+06 |
| 126 | 126 | Latin America & Caribbean (excluding high income) | LAC | Population, total | SP.POP.TOTL | 1.845365e+08 | 1.900210e+08 | 1.956977e+08 | 2.015368e+08 | 2.074965e+08 | 2.135450e+08 | 2.196708e+08 | 2.258772e+08 | 2.321659e+08 | 2.385435e+08 | 2.450139e+08 | 2.515733e+08 | 2.582151e+08 | 2.649374e+08 | 2.717386e+08 | 2.786168e+08 | 2.855667e+08 | 2.925842e+08 | 2.996704e+08 | 3.068280e+08 | 3.140561e+08 | 3.213549e+08 | 3.287148e+08 | 3.361138e+08 | 3.435231e+08 | 3.509214e+08 | 3.582941e+08 | 3.656426e+08 | 3.729815e+08 | 3.803339e+08 | 3.877139e+08 | 3.951215e+08 | 4.025405e+08 | 4.099494e+08 | 4.173192e+08 | 4.246260e+08 | 4.318688e+08 | 4.390450e+08 | 4.461289e+08 | 4.530895e+08 | 4.599087e+08 | 4.665700e+08 | 4.730880e+08 | 4.795145e+08 | 4.859215e+08 | 4.923606e+08 | 4.988475e+08 | 5.053659e+08 | 5.118964e+08 | 5.184068e+08 | 5.248708e+08 | 5.312836e+08 | 5.376457e+08 | 5.439408e+08 | 5.501499e+08 | 5.562579e+08 | 5.622548e+08 | 5.681368e+08 |
| 127 | 127 | Lao PDR | LAO | Population, total | SP.POP.TOTL | 2.120896e+06 | 2.170343e+06 | 2.221122e+06 | 2.273349e+06 | 2.327137e+06 | 2.382594e+06 | 2.439196e+06 | 2.496920e+06 | 2.556852e+06 | 2.620434e+06 | 2.688428e+06 | 2.762265e+06 | 2.840841e+06 | 2.919287e+06 | 2.990965e+06 | 3.051577e+06 | 3.098973e+06 | 3.135842e+06 | 3.168843e+06 | 3.207328e+06 | 3.258144e+06 | 3.323377e+06 | 3.401242e+06 | 3.489977e+06 | 3.586381e+06 | 3.687898e+06 | 3.794043e+06 | 3.905163e+06 | 4.020295e+06 | 4.138408e+06 | 4.258472e+06 | 4.380073e+06 | 4.502363e+06 | 4.623280e+06 | 4.740380e+06 | 4.851923e+06 | 4.957180e+06 | 5.056519e+06 | 5.150763e+06 | 5.241284e+06 | 5.329304e+06 | 5.414568e+06 | 5.497273e+06 | 5.579656e+06 | 5.664605e+06 | 5.754026e+06 | 5.849356e+06 | 5.949787e+06 | 6.052190e+06 | 6.152036e+06 | 6.246274e+06 | 6.333487e+06 | 6.415169e+06 | 6.494557e+06 | 6.576397e+06 | 6.663967e+06 | 6.758353e+06 | 6.858160e+06 |
| 128 | 128 | Lebanon | LBN | Population, total | SP.POP.TOTL | 1.804926e+06 | 1.864605e+06 | 1.925276e+06 | 1.984980e+06 | 2.041207e+06 | 2.092348e+06 | 2.136636e+06 | 2.174845e+06 | 2.210959e+06 | 2.250602e+06 | 2.297389e+06 | 2.353555e+06 | 2.416735e+06 | 2.480419e+06 | 2.535497e+06 | 2.575690e+06 | 2.598354e+06 | 2.606221e+06 | 2.604865e+06 | 2.602566e+06 | 2.605293e+06 | 2.615747e+06 | 2.632276e+06 | 2.651292e+06 | 2.667220e+06 | 2.676583e+06 | 2.677280e+06 | 2.672173e+06 | 2.668585e+06 | 2.676605e+06 | 2.703016e+06 | 2.752462e+06 | 2.821862e+06 | 2.900854e+06 | 2.974640e+06 | 3.033394e+06 | 3.070960e+06 | 3.092670e+06 | 3.113951e+06 | 3.156646e+06 | 3.235366e+06 | 3.359859e+06 | 3.522837e+06 | 3.701464e+06 | 3.863267e+06 | 3.986852e+06 | 4.057350e+06 | 4.086466e+06 | 4.111047e+06 | 4.183156e+06 | 4.337141e+06 | 4.588368e+06 | 4.916404e+06 | 5.276102e+06 | 5.603279e+06 | 5.851479e+06 | 6.006668e+06 | 6.082357e+06 |
| 129 | 129 | Liberia | LBR | Population, total | SP.POP.TOTL | 1.120313e+06 | 1.144986e+06 | 1.170480e+06 | 1.196890e+06 | 1.224344e+06 | 1.252972e+06 | 1.282814e+06 | 1.313941e+06 | 1.346491e+06 | 1.380637e+06 | 1.416529e+06 | 1.454198e+06 | 1.493711e+06 | 1.535229e+06 | 1.578952e+06 | 1.625013e+06 | 1.672300e+06 | 1.720489e+06 | 1.771256e+06 | 1.826881e+06 | 1.888314e+06 | 1.957456e+06 | 2.031850e+06 | 2.102911e+06 | 2.159089e+06 | 2.192555e+06 | 2.201833e+06 | 2.191023e+06 | 2.165090e+06 | 2.131525e+06 | 2.097232e+06 | 2.060267e+06 | 2.022729e+06 | 2.000248e+06 | 2.012885e+06 | 2.073482e+06 | 2.191179e+06 | 2.358469e+06 | 2.551062e+06 | 2.734518e+06 | 2.884522e+06 | 2.991132e+06 | 3.062863e+06 | 3.116233e+06 | 3.176414e+06 | 3.261230e+06 | 3.375838e+06 | 3.512932e+06 | 3.662993e+06 | 3.811528e+06 | 3.948125e+06 | 4.070167e+06 | 4.181563e+06 | 4.286291e+06 | 4.390737e+06 | 4.499621e+06 | 4.613823e+06 | 4.731906e+06 |
| 130 | 130 | Libya | LBY | Population, total | SP.POP.TOTL | 1.448417e+06 | 1.498071e+06 | 1.550813e+06 | 1.607171e+06 | 1.667825e+06 | 1.733306e+06 | 1.803683e+06 | 1.878877e+06 | 1.958914e+06 | 2.043818e+06 | 2.133526e+06 | 2.228146e+06 | 2.327490e+06 | 2.430755e+06 | 2.536888e+06 | 2.645139e+06 | 2.754696e+06 | 2.865637e+06 | 2.979093e+06 | 3.096729e+06 | 3.219466e+06 | 3.347781e+06 | 3.480454e+06 | 3.614689e+06 | 3.746715e+06 | 3.873781e+06 | 3.994591e+06 | 4.109703e+06 | 4.220418e+06 | 4.328914e+06 | 4.436661e+06 | 4.544293e+06 | 4.651004e+06 | 4.755289e+06 | 4.855003e+06 | 4.948798e+06 | 5.035884e+06 | 5.117269e+06 | 5.195502e+06 | 5.274163e+06 | 5.355751e+06 | 5.440566e+06 | 5.527515e+06 | 5.615952e+06 | 5.704759e+06 | 5.792688e+06 | 5.881435e+06 | 5.970362e+06 | 6.053078e+06 | 6.121053e+06 | 6.169140e+06 | 6.193501e+06 | 6.198258e+06 | 6.195970e+06 | 6.204108e+06 | 6.234955e+06 | 6.293253e+06 | 6.374616e+06 |
| 131 | 131 | St. Lucia | LCA | Population, total | SP.POP.TOTL | 8.989700e+04 | 9.091400e+04 | 9.208400e+04 | 9.339900e+04 | 9.481400e+04 | 9.630200e+04 | 9.788100e+04 | 9.952700e+04 | 1.011790e+05 | 1.027490e+05 | 1.041600e+05 | 1.053900e+05 | 1.064550e+05 | 1.074660e+05 | 1.085320e+05 | 1.097690e+05 | 1.112080e+05 | 1.128310e+05 | 1.145460e+05 | 1.162900e+05 | 1.179870e+05 | 1.195940e+05 | 1.211540e+05 | 1.227400e+05 | 1.244680e+05 | 1.264180e+05 | 1.286190e+05 | 1.310340e+05 | 1.335330e+05 | 1.359560e+05 | 1.381850e+05 | 1.401560e+05 | 1.419250e+05 | 1.435650e+05 | 1.452470e+05 | 1.470440e+05 | 1.490040e+05 | 1.510860e+05 | 1.531830e+05 | 1.551720e+05 | 1.569490e+05 | 1.584640e+05 | 1.597630e+05 | 1.609730e+05 | 1.622510e+05 | 1.637140e+05 | 1.654070e+05 | 1.672880e+05 | 1.692200e+05 | 1.710220e+05 | 1.725800e+05 | 1.738320e+05 | 1.748350e+05 | 1.756600e+05 | 1.764210e+05 | 1.772060e+05 | 1.780150e+05 | 1.788440e+05 |
| 132 | 132 | Latin America & Caribbean | LCN | Population, total | SP.POP.TOTL | 2.204347e+08 | 2.265645e+08 | 2.328973e+08 | 2.394013e+08 | 2.460164e+08 | 2.527103e+08 | 2.594687e+08 | 2.662959e+08 | 2.732090e+08 | 2.802258e+08 | 2.873614e+08 | 2.946201e+08 | 3.019844e+08 | 3.094470e+08 | 3.169876e+08 | 3.245908e+08 | 3.322478e+08 | 3.399564e+08 | 3.477353e+08 | 3.555931e+08 | 3.635434e+08 | 3.715810e+08 | 3.796977e+08 | 3.878682e+08 | 3.960594e+08 | 4.042468e+08 | 4.124136e+08 | 4.205608e+08 | 4.287013e+08 | 4.368571e+08 | 4.450445e+08 | 4.532516e+08 | 4.614668e+08 | 4.696735e+08 | 4.778325e+08 | 4.859131e+08 | 4.939205e+08 | 5.018378e+08 | 5.096650e+08 | 5.173243e+08 | 5.248293e+08 | 5.321727e+08 | 5.393720e+08 | 5.464787e+08 | 5.535631e+08 | 5.606740e+08 | 5.678217e+08 | 5.749944e+08 | 5.821798e+08 | 5.893493e+08 | 5.964785e+08 | 6.035371e+08 | 6.105479e+08 | 6.174957e+08 | 6.243355e+08 | 6.310627e+08 | 6.376639e+08 | 6.441377e+08 |
| 133 | 133 | Least developed countries: UN classification | LDC | Population, total | SP.POP.TOTL | 2.407422e+08 | 2.464065e+08 | 2.522643e+08 | 2.583527e+08 | 2.647218e+08 | 2.714005e+08 | 2.784199e+08 | 2.857515e+08 | 2.932928e+08 | 3.009026e+08 | 3.084864e+08 | 3.160046e+08 | 3.235065e+08 | 3.310952e+08 | 3.389203e+08 | 3.470931e+08 | 3.556536e+08 | 3.645812e+08 | 3.738544e+08 | 3.834299e+08 | 3.932793e+08 | 4.034087e+08 | 4.138466e+08 | 4.246139e+08 | 4.357377e+08 | 4.472410e+08 | 4.591157e+08 | 4.713649e+08 | 4.840331e+08 | 4.971769e+08 | 5.108276e+08 | 5.250204e+08 | 5.397204e+08 | 5.548042e+08 | 5.701020e+08 | 5.854962e+08 | 6.009262e+08 | 6.164370e+08 | 6.321468e+08 | 6.482291e+08 | 6.648048e+08 | 6.819322e+08 | 6.995607e+08 | 7.175729e+08 | 7.357966e+08 | 7.541181e+08 | 7.724890e+08 | 7.909781e+08 | 8.097310e+08 | 8.289533e+08 | 8.487920e+08 | 8.692981e+08 | 8.904235e+08 | 9.120940e+08 | 9.341923e+08 | 9.566311e+08 | 9.793879e+08 | 1.002486e+09 |
| 134 | 134 | Low income | LIC | Population, total | SP.POP.TOTL | 1.665028e+08 | 1.702108e+08 | 1.740135e+08 | 1.779503e+08 | 1.820776e+08 | 1.864347e+08 | 1.910354e+08 | 1.958631e+08 | 2.008901e+08 | 2.060743e+08 | 2.113851e+08 | 2.168150e+08 | 2.223723e+08 | 2.280604e+08 | 2.338872e+08 | 2.398591e+08 | 2.459870e+08 | 2.522718e+08 | 2.587005e+08 | 2.652539e+08 | 2.719259e+08 | 2.787163e+08 | 2.856535e+08 | 2.927960e+08 | 3.002203e+08 | 3.079870e+08 | 3.161057e+08 | 3.245770e+08 | 3.334382e+08 | 3.427300e+08 | 3.524732e+08 | 3.627056e+08 | 3.734029e+08 | 3.844478e+08 | 3.956784e+08 | 4.069838e+08 | 4.183180e+08 | 4.297306e+08 | 4.413254e+08 | 4.532547e+08 | 4.656313e+08 | 4.784780e+08 | 4.917650e+08 | 5.054886e+08 | 5.196309e+08 | 5.341726e+08 | 5.491355e+08 | 5.645143e+08 | 5.802291e+08 | 5.961729e+08 | 6.122747e+08 | 6.285047e+08 | 6.449019e+08 | 6.615506e+08 | 6.785721e+08 | 6.960585e+08 | 7.140223e+08 | 7.324486e+08 |
| 135 | 135 | Liechtenstein | LIE | Population, total | SP.POP.TOTL | 1.649500e+04 | 1.689400e+04 | 1.729000e+04 | 1.771800e+04 | 1.817000e+04 | 1.864900e+04 | 1.915300e+04 | 1.969100e+04 | 2.023600e+04 | 2.076500e+04 | 2.126500e+04 | 2.172600e+04 | 2.215100e+04 | 2.256300e+04 | 2.298100e+04 | 2.343200e+04 | 2.392600e+04 | 2.444000e+04 | 2.496200e+04 | 2.544700e+04 | 2.586600e+04 | 2.622400e+04 | 2.651500e+04 | 2.676500e+04 | 2.701100e+04 | 2.725700e+04 | 2.752400e+04 | 2.780200e+04 | 2.809500e+04 | 2.840700e+04 | 2.874700e+04 | 2.910800e+04 | 2.949700e+04 | 2.991900e+04 | 3.036500e+04 | 3.083300e+04 | 3.132500e+04 | 3.183800e+04 | 3.235500e+04 | 3.284200e+04 | 3.328600e+04 | 3.367100e+04 | 3.401800e+04 | 3.432100e+04 | 3.459600e+04 | 3.485200e+04 | 3.509500e+04 | 3.532200e+04 | 3.554100e+04 | 3.576600e+04 | 3.600300e+04 | 3.626400e+04 | 3.654500e+04 | 3.683400e+04 | 3.712700e+04 | 3.740300e+04 | 3.766600e+04 | 3.792200e+04 |
| 136 | 136 | Sri Lanka | LKA | Population, total | SP.POP.TOTL | 9.874481e+06 | 1.011165e+07 | 1.035219e+07 | 1.059752e+07 | 1.084998e+07 | 1.111083e+07 | 1.138068e+07 | 1.165766e+07 | 1.193761e+07 | 1.221497e+07 | 1.248576e+07 | 1.274784e+07 | 1.300228e+07 | 1.325209e+07 | 1.350199e+07 | 1.375516e+07 | 1.401282e+07 | 1.427327e+07 | 1.453338e+07 | 1.478861e+07 | 1.503586e+07 | 1.527339e+07 | 1.550252e+07 | 1.572680e+07 | 1.595142e+07 | 1.617980e+07 | 1.641271e+07 | 1.664794e+07 | 1.688219e+07 | 1.711071e+07 | 1.732971e+07 | 1.753963e+07 | 1.774064e+07 | 1.792858e+07 | 1.809835e+07 | 1.824712e+07 | 1.837212e+07 | 1.847650e+07 | 1.857070e+07 | 1.866910e+07 | 1.878194e+07 | 1.891305e+07 | 1.905930e+07 | 1.921531e+07 | 1.937254e+07 | 1.952456e+07 | 1.967015e+07 | 1.981079e+07 | 1.994583e+07 | 2.007509e+07 | 2.019835e+07 | 2.031502e+07 | 2.042500e+07 | 2.058500e+07 | 2.077100e+07 | 2.096600e+07 | 2.120300e+07 | 2.144400e+07 |
| 137 | 137 | Lower middle income | LMC | Population, total | SP.POP.TOTL | 9.345867e+08 | 9.559434e+08 | 9.780334e+08 | 1.000820e+09 | 1.024254e+09 | 1.048295e+09 | 1.072943e+09 | 1.098202e+09 | 1.124071e+09 | 1.150552e+09 | 1.177647e+09 | 1.205371e+09 | 1.233748e+09 | 1.262819e+09 | 1.292663e+09 | 1.323320e+09 | 1.354785e+09 | 1.387057e+09 | 1.420226e+09 | 1.454422e+09 | 1.489702e+09 | 1.526127e+09 | 1.563490e+09 | 1.601719e+09 | 1.640549e+09 | 1.679743e+09 | 1.719270e+09 | 1.759107e+09 | 1.799200e+09 | 1.839451e+09 | 1.881675e+09 | 1.921979e+09 | 1.962375e+09 | 2.002606e+09 | 2.042431e+09 | 2.082090e+09 | 2.121804e+09 | 2.161550e+09 | 2.201140e+09 | 2.240561e+09 | 2.280235e+09 | 2.320036e+09 | 2.359924e+09 | 2.399909e+09 | 2.439909e+09 | 2.479865e+09 | 2.519782e+09 | 2.559728e+09 | 2.599821e+09 | 2.640212e+09 | 2.681265e+09 | 2.722672e+09 | 2.764106e+09 | 2.805846e+09 | 2.847559e+09 | 2.889350e+09 | 2.931076e+09 | 2.972643e+09 |
| 138 | 138 | Low & middle income | LMY | Population, total | SP.POP.TOTL | 2.251658e+09 | 2.281122e+09 | 2.323868e+09 | 2.378831e+09 | 2.434305e+09 | 2.491586e+09 | 2.552656e+09 | 2.613785e+09 | 2.676649e+09 | 2.741955e+09 | 2.808967e+09 | 2.877389e+09 | 2.944882e+09 | 3.012331e+09 | 3.079360e+09 | 3.145167e+09 | 3.210476e+09 | 3.275315e+09 | 3.341276e+09 | 3.408721e+09 | 3.477110e+09 | 3.547465e+09 | 3.621125e+09 | 3.695912e+09 | 3.770747e+09 | 3.847060e+09 | 3.925563e+09 | 4.006195e+09 | 4.087604e+09 | 4.168716e+09 | 4.250769e+09 | 4.329689e+09 | 4.407097e+09 | 4.483625e+09 | 4.559644e+09 | 4.635236e+09 | 4.710560e+09 | 4.785830e+09 | 4.860402e+09 | 4.933816e+09 | 5.006673e+09 | 5.078705e+09 | 5.150231e+09 | 5.221946e+09 | 5.293854e+09 | 5.366143e+09 | 5.438568e+09 | 5.511067e+09 | 5.584334e+09 | 5.658778e+09 | 5.734083e+09 | 5.810353e+09 | 5.887500e+09 | 5.965581e+09 | 6.044111e+09 | 6.122845e+09 | 6.202020e+09 | 6.281294e+09 |
| 139 | 139 | Lesotho | LSO | Population, total | SP.POP.TOTL | 8.515910e+05 | 8.664620e+05 | 8.821700e+05 | 8.986470e+05 | 9.158220e+05 | 9.336550e+05 | 9.522060e+05 | 9.715120e+05 | 9.914910e+05 | 1.012015e+06 | 1.033050e+06 | 1.054453e+06 | 1.076340e+06 | 1.099235e+06 | 1.123855e+06 | 1.150635e+06 | 1.179723e+06 | 1.210799e+06 | 1.243352e+06 | 1.276663e+06 | 1.310118e+06 | 1.343690e+06 | 1.377346e+06 | 1.410439e+06 | 1.442212e+06 | 1.472192e+06 | 1.499861e+06 | 1.525460e+06 | 1.550262e+06 | 1.576022e+06 | 1.603938e+06 | 1.634517e+06 | 1.667121e+06 | 1.700362e+06 | 1.732257e+06 | 1.761359e+06 | 1.787273e+06 | 1.810453e+06 | 1.831298e+06 | 1.850527e+06 | 1.868699e+06 | 1.885955e+06 | 1.902312e+06 | 1.918097e+06 | 1.933728e+06 | 1.949543e+06 | 1.965662e+06 | 1.982287e+06 | 1.999930e+06 | 2.019209e+06 | 2.040551e+06 | 2.064166e+06 | 2.089928e+06 | 2.117361e+06 | 2.145785e+06 | 2.174645e+06 | 2.203821e+06 | 2.233339e+06 |
| 140 | 140 | Late-demographic dividend | LTE | Population, total | SP.POP.TOTL | 1.097221e+09 | 1.099620e+09 | 1.114283e+09 | 1.140272e+09 | 1.165840e+09 | 1.192150e+09 | 1.221225e+09 | 1.249470e+09 | 1.278513e+09 | 1.309030e+09 | 1.340215e+09 | 1.371934e+09 | 1.401979e+09 | 1.431051e+09 | 1.458706e+09 | 1.484122e+09 | 1.508005e+09 | 1.530339e+09 | 1.552624e+09 | 1.575117e+09 | 1.597225e+09 | 1.619888e+09 | 1.644667e+09 | 1.669422e+09 | 1.693279e+09 | 1.717862e+09 | 1.743894e+09 | 1.771336e+09 | 1.798912e+09 | 1.825741e+09 | 1.851249e+09 | 1.875124e+09 | 1.895051e+09 | 1.915919e+09 | 1.936316e+09 | 1.957771e+09 | 1.977095e+09 | 1.996172e+09 | 2.014526e+09 | 2.031620e+09 | 2.047187e+09 | 2.061987e+09 | 2.075912e+09 | 2.089475e+09 | 2.102909e+09 | 2.116452e+09 | 2.129840e+09 | 2.142908e+09 | 2.156164e+09 | 2.169774e+09 | 2.182872e+09 | 2.196130e+09 | 2.209709e+09 | 2.223457e+09 | 2.237242e+09 | 2.250813e+09 | 2.264569e+09 | 2.278227e+09 |
| 141 | 141 | Lithuania | LTU | Population, total | SP.POP.TOTL | 2.778550e+06 | 2.823550e+06 | 2.863350e+06 | 2.898950e+06 | 2.935200e+06 | 2.971450e+06 | 3.008050e+06 | 3.044400e+06 | 3.078850e+06 | 3.107321e+06 | 3.139689e+06 | 3.179041e+06 | 3.213622e+06 | 3.244438e+06 | 3.273894e+06 | 3.301652e+06 | 3.328664e+06 | 3.355036e+06 | 3.379514e+06 | 3.397842e+06 | 3.413202e+06 | 3.432947e+06 | 3.457179e+06 | 3.485192e+06 | 3.514205e+06 | 3.544543e+06 | 3.578914e+06 | 3.616367e+06 | 3.655049e+06 | 3.684255e+06 | 3.697838e+06 | 3.704134e+06 | 3.700114e+06 | 3.682613e+06 | 3.657144e+06 | 3.629102e+06 | 3.601613e+06 | 3.575137e+06 | 3.549331e+06 | 3.524238e+06 | 3.499536e+06 | 3.470818e+06 | 3.443067e+06 | 3.415213e+06 | 3.377075e+06 | 3.322528e+06 | 3.269909e+06 | 3.231294e+06 | 3.198231e+06 | 3.162916e+06 | 3.097282e+06 | 3.028115e+06 | 2.987773e+06 | 2.957689e+06 | 2.932367e+06 | 2.904910e+06 | 2.868231e+06 | 2.827721e+06 |
| 142 | 142 | Luxembourg | LUX | Population, total | SP.POP.TOTL | 3.139700e+05 | 3.168450e+05 | 3.207500e+05 | 3.241000e+05 | 3.277500e+05 | 3.315000e+05 | 3.338950e+05 | 3.349950e+05 | 3.358500e+05 | 3.375000e+05 | 3.391710e+05 | 3.424210e+05 | 3.466000e+05 | 3.504500e+05 | 3.550500e+05 | 3.589500e+05 | 3.607310e+05 | 3.613580e+05 | 3.620070e+05 | 3.628560e+05 | 3.641500e+05 | 3.652250e+05 | 3.655250e+05 | 3.656220e+05 | 3.659980e+05 | 3.667060e+05 | 3.683550e+05 | 3.707500e+05 | 3.734500e+05 | 3.771000e+05 | 3.818500e+05 | 3.870000e+05 | 3.921750e+05 | 3.974750e+05 | 4.029250e+05 | 4.086250e+05 | 4.142250e+05 | 4.194500e+05 | 4.247000e+05 | 4.304750e+05 | 4.363000e+05 | 4.415250e+05 | 4.461750e+05 | 4.516300e+05 | 4.580950e+05 | 4.651580e+05 | 4.726370e+05 | 4.799930e+05 | 4.886500e+05 | 4.977830e+05 | 5.069530e+05 | 5.183470e+05 | 5.309460e+05 | 5.433600e+05 | 5.563190e+05 | 5.696040e+05 | 5.820140e+05 | 5.994490e+05 |
| 143 | 143 | Latvia | LVA | Population, total | SP.POP.TOTL | 2.120979e+06 | 2.152681e+06 | 2.181586e+06 | 2.210919e+06 | 2.240623e+06 | 2.265919e+06 | 2.283217e+06 | 2.301220e+06 | 2.323619e+06 | 2.343173e+06 | 2.359164e+06 | 2.376389e+06 | 2.395674e+06 | 2.415819e+06 | 2.437186e+06 | 2.456130e+06 | 2.470989e+06 | 2.485073e+06 | 2.497921e+06 | 2.505953e+06 | 2.511701e+06 | 2.519421e+06 | 2.531080e+06 | 2.546011e+06 | 2.562047e+06 | 2.578873e+06 | 2.599892e+06 | 2.626583e+06 | 2.653434e+06 | 2.666955e+06 | 2.663151e+06 | 2.650581e+06 | 2.614338e+06 | 2.563290e+06 | 2.520742e+06 | 2.485056e+06 | 2.457222e+06 | 2.432851e+06 | 2.410019e+06 | 2.390482e+06 | 2.367550e+06 | 2.337170e+06 | 2.310173e+06 | 2.287955e+06 | 2.263122e+06 | 2.238799e+06 | 2.218357e+06 | 2.200325e+06 | 2.177322e+06 | 2.141669e+06 | 2.097555e+06 | 2.059709e+06 | 2.034319e+06 | 2.012647e+06 | 1.993782e+06 | 1.977527e+06 | 1.959537e+06 | 1.940740e+06 |
| 144 | 144 | Macao SAR, China | MAC | Population, total | SP.POP.TOTL | 1.677960e+05 | 1.704650e+05 | 1.761880e+05 | 1.842500e+05 | 1.935630e+05 | 2.032310e+05 | 2.131960e+05 | 2.234200e+05 | 2.330040e+05 | 2.408420e+05 | 2.461950e+05 | 2.487390e+05 | 2.487670e+05 | 2.469470e+05 | 2.442840e+05 | 2.416280e+05 | 2.390850e+05 | 2.366950e+05 | 2.351980e+05 | 2.354790e+05 | 2.381180e+05 | 2.434270e+05 | 2.512190e+05 | 2.609970e+05 | 2.719930e+05 | 2.835810e+05 | 2.956770e+05 | 3.082750e+05 | 3.208770e+05 | 3.329010e+05 | 3.439350e+05 | 3.537640e+05 | 3.624590e+05 | 3.703450e+05 | 3.779600e+05 | 3.856860e+05 | 3.935670e+05 | 4.015640e+05 | 4.098370e+05 | 4.186040e+05 | 4.279790e+05 | 4.380810e+05 | 4.488960e+05 | 4.601470e+05 | 4.714530e+05 | 4.825590e+05 | 4.933200e+05 | 5.038230e+05 | 5.143480e+05 | 5.253130e+05 | 5.369690e+05 | 5.494390e+05 | 5.625310e+05 | 5.758410e+05 | 5.887810e+05 | 6.009420e+05 | 6.121670e+05 | 6.225670e+05 |
| 145 | 145 | St. Martin (French part) | MAF | Population, total | SP.POP.TOTL | 4.279000e+03 | 4.453000e+03 | 4.566000e+03 | 4.656000e+03 | 4.748000e+03 | 4.841000e+03 | 4.936000e+03 | 5.033000e+03 | 5.161000e+03 | 5.303000e+03 | 5.450000e+03 | 5.601000e+03 | 5.756000e+03 | 5.915000e+03 | 6.078000e+03 | 6.291000e+03 | 6.530000e+03 | 6.778000e+03 | 7.035000e+03 | 7.303000e+03 | 7.580000e+03 | 7.868000e+03 | 8.670000e+03 | 1.054700e+04 | 1.279000e+04 | 1.539200e+04 | 1.833700e+04 | 2.162800e+04 | 2.487300e+04 | 2.767600e+04 | 3.003600e+04 | 3.182100e+04 | 3.289200e+04 | 3.323800e+04 | 3.309800e+04 | 3.271200e+04 | 3.210200e+04 | 3.130400e+04 | 3.035800e+04 | 2.930500e+04 | 2.838400e+04 | 2.778200e+04 | 2.745000e+04 | 2.736300e+04 | 2.751400e+04 | 2.790600e+04 | 2.841400e+04 | 2.890500e+04 | 2.937600e+04 | 2.982000e+04 | 3.023500e+04 | 3.061500e+04 | 3.095900e+04 | 3.126400e+04 | 3.153000e+04 | 3.175400e+04 | 3.194900e+04 | 3.212500e+04 |
| 146 | 146 | Morocco | MAR | Population, total | SP.POP.TOTL | 1.232853e+07 | 1.271055e+07 | 1.309482e+07 | 1.347823e+07 | 1.385714e+07 | 1.422904e+07 | 1.459328e+07 | 1.495080e+07 | 1.530295e+07 | 1.565192e+07 | 1.600001e+07 | 1.634720e+07 | 1.669500e+07 | 1.704916e+07 | 1.741696e+07 | 1.780370e+07 | 1.821075e+07 | 1.863698e+07 | 1.908172e+07 | 1.954335e+07 | 2.001985e+07 | 2.051160e+07 | 2.101682e+07 | 2.152850e+07 | 2.203761e+07 | 2.253738e+07 | 2.302394e+07 | 2.349777e+07 | 2.396182e+07 | 2.442119e+07 | 2.487914e+07 | 2.533686e+07 | 2.579149e+07 | 2.623742e+07 | 2.666705e+07 | 2.707523e+07 | 2.746060e+07 | 2.782590e+07 | 2.817526e+07 | 2.851480e+07 | 2.884962e+07 | 2.918183e+07 | 2.951237e+07 | 2.984394e+07 | 3.017928e+07 | 3.052107e+07 | 3.086935e+07 | 3.122588e+07 | 3.159686e+07 | 3.198990e+07 | 3.240964e+07 | 3.285882e+07 | 3.333379e+07 | 3.382477e+07 | 3.431808e+07 | 3.480332e+07 | 3.527679e+07 | 3.573958e+07 |
| 147 | 147 | Monaco | MCO | Population, total | SP.POP.TOTL | 2.245200e+04 | 2.280800e+04 | 2.303900e+04 | 2.316800e+04 | 2.323600e+04 | 2.328200e+04 | 2.330500e+04 | 2.329200e+04 | 2.330400e+04 | 2.334600e+04 | 2.348400e+04 | 2.372000e+04 | 2.405100e+04 | 2.443900e+04 | 2.483500e+04 | 2.519700e+04 | 2.552300e+04 | 2.580900e+04 | 2.608700e+04 | 2.639500e+04 | 2.674500e+04 | 2.716400e+04 | 2.762400e+04 | 2.809500e+04 | 2.851200e+04 | 2.883500e+04 | 2.904100e+04 | 2.917200e+04 | 2.923500e+04 | 2.931200e+04 | 2.943900e+04 | 2.962400e+04 | 2.986300e+04 | 3.013800e+04 | 3.042700e+04 | 3.069100e+04 | 3.096700e+04 | 3.125100e+04 | 3.152300e+04 | 3.180000e+04 | 3.208200e+04 | 3.236000e+04 | 3.262900e+04 | 3.293300e+04 | 3.331400e+04 | 3.379300e+04 | 3.440800e+04 | 3.511100e+04 | 3.585300e+04 | 3.653400e+04 | 3.709400e+04 | 3.749700e+04 | 3.778300e+04 | 3.797100e+04 | 3.813200e+04 | 3.830700e+04 | 3.849900e+04 | 3.869500e+04 |
| 148 | 148 | Moldova | MDA | Population, total | SP.POP.TOTL | 2.544000e+06 | 2.605000e+06 | 2.664000e+06 | 2.721000e+06 | 2.774000e+06 | 2.825000e+06 | 2.873000e+06 | 2.918000e+06 | 2.960000e+06 | 3.002000e+06 | 3.044000e+06 | 3.088000e+06 | 3.131000e+06 | 3.174000e+06 | 3.215000e+06 | 3.251000e+06 | 3.284000e+06 | 3.312000e+06 | 3.339000e+06 | 3.366000e+06 | 3.396000e+06 | 3.429000e+06 | 3.464000e+06 | 3.500000e+06 | 3.536000e+06 | 3.570000e+06 | 3.602000e+06 | 3.633000e+06 | 3.660000e+06 | 3.681000e+06 | 3.696000e+06 | 3.704000e+06 | 3.706000e+06 | 3.701000e+06 | 3.691000e+06 | 3.675099e+06 | 3.667748e+06 | 3.654208e+06 | 3.652732e+06 | 3.647001e+06 | 3.639592e+06 | 3.631462e+06 | 3.623062e+06 | 3.612874e+06 | 3.603945e+06 | 3.595187e+06 | 3.585209e+06 | 3.576910e+06 | 3.570108e+06 | 3.565604e+06 | 3.562045e+06 | 3.559986e+06 | 3.559519e+06 | 3.558566e+06 | 3.556397e+06 | 3.554108e+06 | 3.551954e+06 | 3.549750e+06 |
| 149 | 149 | Madagascar | MDG | Population, total | SP.POP.TOTL | 5.099373e+06 | 5.223568e+06 | 5.352503e+06 | 5.486319e+06 | 5.625164e+06 | 5.769218e+06 | 5.918595e+06 | 6.073526e+06 | 6.234465e+06 | 6.401921e+06 | 6.576305e+06 | 6.757850e+06 | 6.946620e+06 | 7.142627e+06 | 7.345780e+06 | 7.556026e+06 | 7.773449e+06 | 7.998164e+06 | 8.230218e+06 | 8.469672e+06 | 8.716553e+06 | 8.971345e+06 | 9.234129e+06 | 9.504281e+06 | 9.780872e+06 | 1.006350e+07 | 1.035212e+07 | 1.064775e+07 | 1.095240e+07 | 1.126866e+07 | 1.159863e+07 | 1.194282e+07 | 1.230134e+07 | 1.267546e+07 | 1.306654e+07 | 1.347540e+07 | 1.390269e+07 | 1.434785e+07 | 1.480879e+07 | 1.528252e+07 | 1.576681e+07 | 1.626093e+07 | 1.676512e+07 | 1.727914e+07 | 1.780300e+07 | 1.833672e+07 | 1.888027e+07 | 1.943352e+07 | 1.999647e+07 | 2.056912e+07 | 2.115164e+07 | 2.174395e+07 | 2.234657e+07 | 2.296115e+07 | 2.358980e+07 | 2.423409e+07 | 2.489455e+07 | 2.557090e+07 |
| 150 | 150 | Maldives | MDV | Population, total | SP.POP.TOTL | 8.988700e+04 | 9.235000e+04 | 9.493800e+04 | 9.758400e+04 | 1.002140e+05 | 1.027660e+05 | 1.051900e+05 | 1.075380e+05 | 1.099590e+05 | 1.126510e+05 | 1.157680e+05 | 1.193780e+05 | 1.234410e+05 | 1.277910e+05 | 1.321950e+05 | 1.365190e+05 | 1.406650e+05 | 1.447360e+05 | 1.488920e+05 | 1.533860e+05 | 1.583850e+05 | 1.639350e+05 | 1.699600e+05 | 1.763560e+05 | 1.829530e+05 | 1.896370e+05 | 1.963570e+05 | 2.031240e+05 | 2.098850e+05 | 2.165950e+05 | 2.232150e+05 | 2.297540e+05 | 2.361900e+05 | 2.424590e+05 | 2.484330e+05 | 2.540820e+05 | 2.593270e+05 | 2.642750e+05 | 2.692060e+05 | 2.744840e+05 | 2.803840e+05 | 2.870270e+05 | 2.943410e+05 | 3.022090e+05 | 3.104230e+05 | 3.188360e+05 | 3.273710e+05 | 3.360700e+05 | 3.450540e+05 | 3.545010e+05 | 3.645110e+05 | 3.751310e+05 | 3.862030e+05 | 3.973970e+05 | 4.082470e+05 | 4.184030e+05 | 4.277560e+05 | 4.363300e+05 |
| 151 | 151 | Middle East & North Africa | MEA | Population, total | SP.POP.TOTL | 1.054887e+08 | 1.083742e+08 | 1.113859e+08 | 1.144714e+08 | 1.176716e+08 | 1.209736e+08 | 1.243745e+08 | 1.279473e+08 | 1.315662e+08 | 1.352799e+08 | 1.390838e+08 | 1.429510e+08 | 1.468873e+08 | 1.509999e+08 | 1.552599e+08 | 1.597226e+08 | 1.644075e+08 | 1.693184e+08 | 1.744933e+08 | 1.800005e+08 | 1.858438e+08 | 1.920159e+08 | 1.984996e+08 | 2.052299e+08 | 2.121028e+08 | 2.190953e+08 | 2.261615e+08 | 2.332852e+08 | 2.403671e+08 | 2.472836e+08 | 2.559891e+08 | 2.626597e+08 | 2.670206e+08 | 2.732048e+08 | 2.792793e+08 | 2.869174e+08 | 2.929340e+08 | 2.989829e+08 | 3.050015e+08 | 3.110532e+08 | 3.171292e+08 | 3.231964e+08 | 3.292894e+08 | 3.355228e+08 | 3.420468e+08 | 3.489563e+08 | 3.562877e+08 | 3.639963e+08 | 3.719997e+08 | 3.801926e+08 | 3.883761e+08 | 3.965732e+08 | 4.047830e+08 | 4.129530e+08 | 4.210300e+08 | 4.289749e+08 | 4.367380e+08 | 4.443224e+08 |
| 152 | 152 | Mexico | MEX | Population, total | SP.POP.TOTL | 3.817411e+07 | 3.939413e+07 | 4.064959e+07 | 4.193988e+07 | 4.326427e+07 | 4.462304e+07 | 4.601104e+07 | 4.742981e+07 | 4.889402e+07 | 5.042348e+07 | 5.202986e+07 | 5.371872e+07 | 5.547815e+07 | 5.728059e+07 | 5.908819e+07 | 6.087240e+07 | 6.262376e+07 | 6.434588e+07 | 6.603949e+07 | 6.770969e+07 | 6.936087e+07 | 7.099220e+07 | 7.260253e+07 | 7.419655e+07 | 7.578060e+07 | 7.736071e+07 | 7.893412e+07 | 8.050305e+07 | 8.208392e+07 | 8.369789e+07 | 8.535787e+07 | 8.707151e+07 | 8.882831e+07 | 9.060045e+07 | 9.234915e+07 | 9.404558e+07 | 9.568745e+07 | 9.728174e+07 | 9.882146e+07 | 1.003006e+08 | 1.017197e+08 | 1.030671e+08 | 1.043556e+08 | 1.056405e+08 | 1.069956e+08 | 1.084722e+08 | 1.100924e+08 | 1.118363e+08 | 1.136618e+08 | 1.155052e+08 | 1.173189e+08 | 1.190900e+08 | 1.208283e+08 | 1.225360e+08 | 1.242216e+08 | 1.258909e+08 | 1.275404e+08 | 1.291633e+08 |
| 153 | 153 | Marshall Islands | MHL | Population, total | SP.POP.TOTL | 1.466200e+04 | 1.505100e+04 | 1.554700e+04 | 1.611400e+04 | 1.671000e+04 | 1.728400e+04 | 1.784200e+04 | 1.838800e+04 | 1.896100e+04 | 1.962200e+04 | 2.039500e+04 | 2.131300e+04 | 2.234100e+04 | 2.343900e+04 | 2.453100e+04 | 2.557600e+04 | 2.655200e+04 | 2.747000e+04 | 2.840500e+04 | 2.941800e+04 | 3.057600e+04 | 3.189300e+04 | 3.333000e+04 | 3.489200e+04 | 3.656100e+04 | 3.833300e+04 | 4.020400e+04 | 4.215300e+04 | 4.406300e+04 | 4.581400e+04 | 4.729800e+04 | 4.847500e+04 | 4.937800e+04 | 5.004800e+04 | 5.057500e+04 | 5.101500e+04 | 5.140100e+04 | 5.169200e+04 | 5.192500e+04 | 5.207900e+04 | 5.215900e+04 | 5.218300e+04 | 5.215800e+04 | 5.211600e+04 | 5.207400e+04 | 5.205500e+04 | 5.207800e+04 | 5.213700e+04 | 5.221800e+04 | 5.232000e+04 | 5.242500e+04 | 5.254200e+04 | 5.266300e+04 | 5.279300e+04 | 5.289800e+04 | 5.299400e+04 | 5.306600e+04 | 5.312700e+04 |
| 154 | 154 | Middle income | MIC | Population, total | SP.POP.TOTL | 2.085156e+09 | 2.110911e+09 | 2.149854e+09 | 2.200881e+09 | 2.252228e+09 | 2.305151e+09 | 2.361621e+09 | 2.417921e+09 | 2.475759e+09 | 2.535880e+09 | 2.597582e+09 | 2.660574e+09 | 2.722510e+09 | 2.784271e+09 | 2.845473e+09 | 2.905308e+09 | 2.964489e+09 | 3.023043e+09 | 3.082575e+09 | 3.143467e+09 | 3.205184e+09 | 3.268748e+09 | 3.335472e+09 | 3.403116e+09 | 3.470527e+09 | 3.539073e+09 | 3.609457e+09 | 3.681618e+09 | 3.754165e+09 | 3.825986e+09 | 3.898296e+09 | 3.966984e+09 | 4.033694e+09 | 4.099177e+09 | 4.163965e+09 | 4.228252e+09 | 4.292242e+09 | 4.356100e+09 | 4.419077e+09 | 4.480561e+09 | 4.541041e+09 | 4.600227e+09 | 4.658466e+09 | 4.716457e+09 | 4.774223e+09 | 4.831970e+09 | 4.889433e+09 | 4.946553e+09 | 5.004105e+09 | 5.062606e+09 | 5.121808e+09 | 5.181848e+09 | 5.242598e+09 | 5.304030e+09 | 5.365539e+09 | 5.426787e+09 | 5.487997e+09 | 5.548845e+09 |
| 155 | 155 | Macedonia, FYR | MKD | Population, total | SP.POP.TOTL | 1.488667e+06 | 1.507654e+06 | 1.527111e+06 | 1.547450e+06 | 1.569141e+06 | 1.592432e+06 | 1.617794e+06 | 1.644943e+06 | 1.672399e+06 | 1.698143e+06 | 1.720800e+06 | 1.739521e+06 | 1.754956e+06 | 1.768992e+06 | 1.784398e+06 | 1.803010e+06 | 1.825552e+06 | 1.851069e+06 | 1.877688e+06 | 1.902719e+06 | 1.924197e+06 | 1.941530e+06 | 1.955243e+06 | 1.965895e+06 | 1.974415e+06 | 1.981534e+06 | 1.987538e+06 | 1.992274e+06 | 1.995513e+06 | 1.996870e+06 | 1.996228e+06 | 1.993302e+06 | 1.988659e+06 | 1.984028e+06 | 1.981703e+06 | 1.983252e+06 | 1.989443e+06 | 1.999599e+06 | 2.012057e+06 | 2.024394e+06 | 2.034819e+06 | 2.042842e+06 | 2.048928e+06 | 2.053426e+06 | 2.057047e+06 | 2.060272e+06 | 2.063145e+06 | 2.065458e+06 | 2.067378e+06 | 2.069093e+06 | 2.070739e+06 | 2.072383e+06 | 2.074036e+06 | 2.075739e+06 | 2.077495e+06 | 2.079308e+06 | 2.081206e+06 | 2.083160e+06 |
| 156 | 156 | Mali | MLI | Population, total | SP.POP.TOTL | 5.263733e+06 | 5.322266e+06 | 5.381368e+06 | 5.441613e+06 | 5.503752e+06 | 5.568484e+06 | 5.635859e+06 | 5.706199e+06 | 5.780835e+06 | 5.861412e+06 | 5.949045e+06 | 6.044530e+06 | 6.147458e+06 | 6.256187e+06 | 6.368348e+06 | 6.482278e+06 | 6.596773e+06 | 6.712401e+06 | 6.831295e+06 | 6.956579e+06 | 7.090126e+06 | 7.234303e+06 | 7.387656e+06 | 7.543743e+06 | 7.693667e+06 | 7.831889e+06 | 7.955164e+06 | 8.067758e+06 | 8.180728e+06 | 8.309531e+06 | 8.465188e+06 | 8.652514e+06 | 8.868263e+06 | 9.105472e+06 | 9.353385e+06 | 9.604450e+06 | 9.856810e+06 | 1.011409e+07 | 1.038084e+07 | 1.066372e+07 | 1.096769e+07 | 1.129326e+07 | 1.163893e+07 | 1.200513e+07 | 1.239191e+07 | 1.279876e+07 | 1.322706e+07 | 1.367561e+07 | 1.413822e+07 | 1.460660e+07 | 1.507508e+07 | 1.554099e+07 | 1.600667e+07 | 1.647782e+07 | 1.696285e+07 | 1.746790e+07 | 1.799484e+07 | 1.854198e+07 |
| 157 | 157 | Malta | MLT | Population, total | SP.POP.TOTL | 3.265500e+05 | 3.252500e+05 | 3.239000e+05 | 3.225500e+05 | 3.212500e+05 | 3.188000e+05 | 3.152000e+05 | 3.115500e+05 | 3.079000e+05 | 3.043000e+05 | 3.026500e+05 | 3.027000e+05 | 3.024500e+05 | 3.022000e+05 | 3.019960e+05 | 3.042220e+05 | 3.057740e+05 | 3.069700e+05 | 3.101820e+05 | 3.133420e+05 | 3.166450e+05 | 3.189820e+05 | 3.258980e+05 | 3.305240e+05 | 3.305930e+05 | 3.364520e+05 | 3.421210e+05 | 3.444850e+05 | 3.473250e+05 | 3.507220e+05 | 3.541700e+05 | 3.638450e+05 | 3.676180e+05 | 3.713080e+05 | 3.747970e+05 | 3.774190e+05 | 3.799050e+05 | 3.827910e+05 | 3.852870e+05 | 3.875780e+05 | 3.900870e+05 | 3.930280e+05 | 3.959690e+05 | 3.985820e+05 | 4.012680e+05 | 4.038340e+05 | 4.053080e+05 | 4.067240e+05 | 4.093790e+05 | 4.124770e+05 | 4.145080e+05 | 4.162680e+05 | 4.200280e+05 | 4.259670e+05 | 4.345580e+05 | 4.450530e+05 | 4.553560e+05 | 4.652920e+05 |
| 158 | 158 | Myanmar | MMR | Population, total | SP.POP.TOTL | 2.098612e+07 | 2.143802e+07 | 2.189802e+07 | 2.237190e+07 | 2.286774e+07 | 2.339114e+07 | 2.394418e+07 | 2.452455e+07 | 2.512812e+07 | 2.574864e+07 | 2.638143e+07 | 2.702498e+07 | 2.768014e+07 | 2.834734e+07 | 2.902773e+07 | 2.972197e+07 | 3.042803e+07 | 3.114432e+07 | 3.187223e+07 | 3.261389e+07 | 3.336971e+07 | 3.413913e+07 | 3.491790e+07 | 3.569794e+07 | 3.646889e+07 | 3.722230e+07 | 3.795733e+07 | 3.867324e+07 | 3.936214e+07 | 4.001486e+07 | 4.062625e+07 | 4.119016e+07 | 4.171146e+07 | 4.220978e+07 | 4.271222e+07 | 4.323779e+07 | 4.379331e+07 | 4.437152e+07 | 4.495994e+07 | 4.553944e+07 | 4.609546e+07 | 4.662799e+07 | 4.714022e+07 | 4.762489e+07 | 4.807371e+07 | 4.848261e+07 | 4.884647e+07 | 4.917159e+07 | 4.947975e+07 | 4.980069e+07 | 5.015590e+07 | 5.055303e+07 | 5.098651e+07 | 5.144820e+07 | 5.192418e+07 | 5.240367e+07 | 5.288522e+07 | 5.337061e+07 |
| 159 | 159 | Middle East & North Africa (excluding high inc... | MNA | Population, total | SP.POP.TOTL | 9.783777e+07 | 1.004585e+08 | 1.031472e+08 | 1.059144e+08 | 1.087749e+08 | 1.117382e+08 | 1.148161e+08 | 1.180041e+08 | 1.212763e+08 | 1.245964e+08 | 1.279425e+08 | 1.313096e+08 | 1.347195e+08 | 1.382111e+08 | 1.418378e+08 | 1.456425e+08 | 1.496290e+08 | 1.537983e+08 | 1.581851e+08 | 1.628299e+08 | 1.677559e+08 | 1.729675e+08 | 1.784403e+08 | 1.841298e+08 | 1.899742e+08 | 1.959177e+08 | 2.019504e+08 | 2.080513e+08 | 2.141407e+08 | 2.201218e+08 | 2.279038e+08 | 2.335823e+08 | 2.390627e+08 | 2.443955e+08 | 2.496606e+08 | 2.549182e+08 | 2.601901e+08 | 2.654639e+08 | 2.706723e+08 | 2.758401e+08 | 2.809553e+08 | 2.860161e+08 | 2.910510e+08 | 2.961145e+08 | 3.012783e+08 | 3.065952e+08 | 3.120793e+08 | 3.177212e+08 | 3.235311e+08 | 3.294889e+08 | 3.355816e+08 | 3.418220e+08 | 3.481957e+08 | 3.546410e+08 | 3.610780e+08 | 3.674493e+08 | 3.737191e+08 | 3.799018e+08 |
| 160 | 160 | Montenegro | MNE | Population, total | SP.POP.TOTL | 4.805790e+05 | 4.911400e+05 | 5.025580e+05 | 5.134090e+05 | 5.217530e+05 | 5.263270e+05 | 5.264190e+05 | 5.227960e+05 | 5.174810e+05 | 5.133400e+05 | 5.124070e+05 | 5.154490e+05 | 5.217850e+05 | 5.302200e+05 | 5.389020e+05 | 5.464870e+05 | 5.525620e+05 | 5.575760e+05 | 5.620650e+05 | 5.668880e+05 | 5.726080e+05 | 5.794450e+05 | 5.870010e+05 | 5.945060e+05 | 6.008840e+05 | 6.053980e+05 | 6.077110e+05 | 6.081440e+05 | 6.074130e+05 | 6.065710e+05 | 6.063720e+05 | 6.071050e+05 | 6.085160e+05 | 6.101700e+05 | 6.113890e+05 | 6.117120e+05 | 6.110030e+05 | 6.095200e+05 | 6.076620e+05 | 6.060010e+05 | 6.049500e+05 | 6.073890e+05 | 6.098280e+05 | 6.122670e+05 | 6.133530e+05 | 6.142610e+05 | 6.150250e+05 | 6.158750e+05 | 6.169690e+05 | 6.182940e+05 | 6.194280e+05 | 6.200790e+05 | 6.206010e+05 | 6.212070e+05 | 6.218100e+05 | 6.221590e+05 | 6.223030e+05 | 6.224710e+05 |
| 161 | 161 | Mongolia | MNG | Population, total | SP.POP.TOTL | 9.555050e+05 | 9.821780e+05 | 1.011324e+06 | 1.042383e+06 | 1.074514e+06 | 1.107124e+06 | 1.139961e+06 | 1.173191e+06 | 1.207104e+06 | 1.242214e+06 | 1.278825e+06 | 1.317050e+06 | 1.356670e+06 | 1.397304e+06 | 1.438425e+06 | 1.479651e+06 | 1.520865e+06 | 1.562209e+06 | 1.603906e+06 | 1.646291e+06 | 1.689622e+06 | 1.733475e+06 | 1.777727e+06 | 1.823216e+06 | 1.871090e+06 | 1.921881e+06 | 1.976309e+06 | 2.033343e+06 | 2.089714e+06 | 2.141008e+06 | 2.184145e+06 | 2.217918e+06 | 2.243502e+06 | 2.263200e+06 | 2.280496e+06 | 2.298039e+06 | 2.316567e+06 | 2.335695e+06 | 2.355590e+06 | 2.376162e+06 | 2.397436e+06 | 2.419776e+06 | 2.443659e+06 | 2.469286e+06 | 2.496832e+06 | 2.526446e+06 | 2.558012e+06 | 2.591670e+06 | 2.628131e+06 | 2.668289e+06 | 2.712650e+06 | 2.761516e+06 | 2.814226e+06 | 2.869107e+06 | 2.923896e+06 | 2.976877e+06 | 3.027398e+06 | 3.075647e+06 |
| 162 | 162 | Northern Mariana Islands | MNP | Population, total | SP.POP.TOTL | 1.003500e+04 | 1.030200e+04 | 1.049900e+04 | 1.066700e+04 | 1.085700e+04 | 1.110500e+04 | 1.143500e+04 | 1.182300e+04 | 1.225700e+04 | 1.269100e+04 | 1.312700e+04 | 1.356900e+04 | 1.404000e+04 | 1.449200e+04 | 1.485900e+04 | 1.511700e+04 | 1.523400e+04 | 1.525100e+04 | 1.537200e+04 | 1.586200e+04 | 1.692000e+04 | 1.860400e+04 | 2.085600e+04 | 2.350300e+04 | 2.630200e+04 | 2.909200e+04 | 3.180200e+04 | 3.448000e+04 | 3.713400e+04 | 3.980800e+04 | 4.253800e+04 | 4.524900e+04 | 4.791900e+04 | 5.060200e+04 | 5.338000e+04 | 5.627800e+04 | 5.936400e+04 | 6.252800e+04 | 6.547400e+04 | 6.775500e+04 | 6.909400e+04 | 6.938800e+04 | 6.876300e+04 | 6.742200e+04 | 6.566300e+04 | 6.374400e+04 | 6.168800e+04 | 5.951300e+04 | 5.743100e+04 | 5.567400e+04 | 5.442400e+04 | 5.378600e+04 | 5.371800e+04 | 5.403600e+04 | 5.446800e+04 | 5.481600e+04 | 5.502300e+04 | 5.514400e+04 |
| 163 | 163 | Mozambique | MOZ | Population, total | SP.POP.TOTL | 7.388695e+06 | 7.541325e+06 | 7.699139e+06 | 7.862072e+06 | 8.030025e+06 | 8.203076e+06 | 8.381455e+06 | 8.565674e+06 | 8.756481e+06 | 8.954809e+06 | 9.161534e+06 | 9.375144e+06 | 9.595762e+06 | 9.827580e+06 | 1.007617e+07 | 1.034449e+07 | 1.063293e+07 | 1.093694e+07 | 1.124805e+07 | 1.155498e+07 | 1.184833e+07 | 1.213307e+07 | 1.240924e+07 | 1.265771e+07 | 1.285378e+07 | 1.298440e+07 | 1.303438e+07 | 1.302086e+07 | 1.300255e+07 | 1.305961e+07 | 1.324765e+07 | 1.359197e+07 | 1.407123e+07 | 1.463700e+07 | 1.521704e+07 | 1.575913e+07 | 1.624823e+07 | 1.670135e+07 | 1.713678e+07 | 1.758487e+07 | 1.806769e+07 | 1.858876e+07 | 1.913966e+07 | 1.971660e+07 | 2.031270e+07 | 2.092307e+07 | 2.154746e+07 | 2.218839e+07 | 2.284676e+07 | 2.352406e+07 | 2.422140e+07 | 2.493900e+07 | 2.567661e+07 | 2.643437e+07 | 2.721238e+07 | 2.801069e+07 | 2.882948e+07 | 2.966883e+07 |
| 164 | 164 | Mauritania | MRT | Population, total | SP.POP.TOTL | 8.581680e+05 | 8.832210e+05 | 9.091740e+05 | 9.360160e+05 | 9.637470e+05 | 9.923670e+05 | 1.021882e+06 | 1.052286e+06 | 1.083583e+06 | 1.115788e+06 | 1.148908e+06 | 1.182954e+06 | 1.217941e+06 | 1.253874e+06 | 1.290790e+06 | 1.328686e+06 | 1.367563e+06 | 1.407436e+06 | 1.448414e+06 | 1.490603e+06 | 1.534085e+06 | 1.578938e+06 | 1.625124e+06 | 1.672496e+06 | 1.720812e+06 | 1.769942e+06 | 1.819954e+06 | 1.870978e+06 | 1.923002e+06 | 1.976030e+06 | 2.030140e+06 | 2.085202e+06 | 2.141445e+06 | 2.199791e+06 | 2.261403e+06 | 2.327075e+06 | 2.397245e+06 | 2.471598e+06 | 2.549223e+06 | 2.628803e+06 | 2.709359e+06 | 2.790729e+06 | 2.873228e+06 | 2.957117e+06 | 3.042823e+06 | 3.130720e+06 | 3.220653e+06 | 3.312665e+06 | 3.407541e+06 | 3.506288e+06 | 3.609543e+06 | 3.717672e+06 | 3.830239e+06 | 3.946170e+06 | 4.063920e+06 | 4.182341e+06 | 4.301018e+06 | 4.420184e+06 |
| 165 | 165 | Mauritius | MUS | Population, total | SP.POP.TOTL | 6.593510e+05 | 6.807570e+05 | 7.003490e+05 | 7.188610e+05 | 7.363810e+05 | 7.530000e+05 | 7.688130e+05 | 7.839170e+05 | 7.984130e+05 | 8.124050e+05 | 8.260000e+05 | 8.392300e+05 | 8.520530e+05 | 8.648190e+05 | 8.780420e+05 | 8.920000e+05 | 9.065070e+05 | 9.213790e+05 | 9.334990e+05 | 9.498880e+05 | 9.660390e+05 | 9.804620e+05 | 9.925210e+05 | 1.001691e+06 | 1.012221e+06 | 1.020528e+06 | 1.028360e+06 | 1.036082e+06 | 1.043239e+06 | 1.051260e+06 | 1.058775e+06 | 1.070266e+06 | 1.084441e+06 | 1.097374e+06 | 1.112846e+06 | 1.122457e+06 | 1.133996e+06 | 1.148284e+06 | 1.160421e+06 | 1.175267e+06 | 1.186873e+06 | 1.196287e+06 | 1.204621e+06 | 1.213370e+06 | 1.221003e+06 | 1.228254e+06 | 1.233996e+06 | 1.239630e+06 | 1.244121e+06 | 1.247429e+06 | 1.250400e+06 | 1.252404e+06 | 1.255882e+06 | 1.258653e+06 | 1.260934e+06 | 1.262605e+06 | 1.263473e+06 | 1.264613e+06 |
| 166 | 166 | Malawi | MWI | Population, total | SP.POP.TOTL | 3.618595e+06 | 3.700023e+06 | 3.784439e+06 | 3.872118e+06 | 3.963417e+06 | 4.058673e+06 | 4.158124e+06 | 4.262005e+06 | 4.370650e+06 | 4.484439e+06 | 4.603723e+06 | 4.728703e+06 | 4.859610e+06 | 4.996940e+06 | 5.141202e+06 | 5.292808e+06 | 5.454705e+06 | 5.627533e+06 | 5.806845e+06 | 5.986332e+06 | 6.163080e+06 | 6.327569e+06 | 6.484452e+06 | 6.661358e+06 | 6.895928e+06 | 7.211105e+06 | 7.625305e+06 | 8.120093e+06 | 8.636935e+06 | 9.094671e+06 | 9.437553e+06 | 9.641153e+06 | 9.729717e+06 | 9.755857e+06 | 9.796976e+06 | 9.909088e+06 | 1.010979e+07 | 1.038186e+07 | 1.070474e+07 | 1.104436e+07 | 1.137617e+07 | 1.169586e+07 | 1.201371e+07 | 1.233669e+07 | 1.267604e+07 | 1.303971e+07 | 1.342926e+07 | 1.384097e+07 | 1.427123e+07 | 1.471460e+07 | 1.516710e+07 | 1.562762e+07 | 1.609730e+07 | 1.657715e+07 | 1.706884e+07 | 1.757361e+07 | 1.809158e+07 | 1.862210e+07 |
| 167 | 167 | Malaysia | MYS | Population, total | SP.POP.TOTL | 8.157106e+06 | 8.418460e+06 | 8.692815e+06 | 8.974084e+06 | 9.253963e+06 | 9.526563e+06 | 9.789982e+06 | 1.004617e+07 | 1.029780e+07 | 1.054923e+07 | 1.080398e+07 | 1.106234e+07 | 1.132425e+07 | 1.159270e+07 | 1.187123e+07 | 1.216237e+07 | 1.246889e+07 | 1.279055e+07 | 1.312307e+07 | 1.346020e+07 | 1.379812e+07 | 1.413384e+07 | 1.447063e+07 | 1.481862e+07 | 1.519162e+07 | 1.559894e+07 | 1.604505e+07 | 1.652511e+07 | 1.702759e+07 | 1.753597e+07 | 1.803832e+07 | 1.852945e+07 | 1.901272e+07 | 1.949497e+07 | 1.998689e+07 | 2.049560e+07 | 2.102332e+07 | 2.156532e+07 | 2.211346e+07 | 2.265629e+07 | 2.318561e+07 | 2.369891e+07 | 2.419881e+07 | 2.468870e+07 | 2.517411e+07 | 2.565939e+07 | 2.614357e+07 | 2.662584e+07 | 2.711107e+07 | 2.760538e+07 | 2.811229e+07 | 2.863513e+07 | 2.917046e+07 | 2.970672e+07 | 3.022802e+07 | 3.072316e+07 | 3.118726e+07 | 3.162426e+07 |
| 168 | 168 | North America | NAC | Population, total | SP.POP.TOTL | 1.986244e+08 | 2.020075e+08 | 2.051986e+08 | 2.082537e+08 | 2.112629e+08 | 2.140311e+08 | 2.166590e+08 | 2.191760e+08 | 2.215030e+08 | 2.237590e+08 | 2.264310e+08 | 2.293611e+08 | 2.319438e+08 | 2.343322e+08 | 2.366815e+08 | 2.392350e+08 | 2.416062e+08 | 2.440884e+08 | 2.466746e+08 | 2.493858e+08 | 2.518727e+08 | 2.544210e+08 | 2.569214e+08 | 2.593039e+08 | 2.615834e+08 | 2.639229e+08 | 2.663944e+08 | 2.688968e+08 | 2.714523e+08 | 2.742568e+08 | 2.774733e+08 | 2.812117e+08 | 2.850922e+08 | 2.888113e+08 | 2.922972e+08 | 2.956917e+08 | 2.991260e+08 | 3.027047e+08 | 3.061628e+08 | 3.096005e+08 | 3.129939e+08 | 3.161134e+08 | 3.190501e+08 | 3.218473e+08 | 3.248640e+08 | 3.278928e+08 | 3.310149e+08 | 3.341840e+08 | 3.374050e+08 | 3.404657e+08 | 3.434088e+08 | 3.460516e+08 | 3.488086e+08 | 3.514519e+08 | 3.542230e+08 | 3.569376e+08 | 3.597359e+08 | 3.624927e+08 |
| 169 | 169 | Namibia | NAM | Population, total | SP.POP.TOTL | 6.025440e+05 | 6.172770e+05 | 6.326540e+05 | 6.486610e+05 | 6.652820e+05 | 6.825510e+05 | 7.003410e+05 | 7.186850e+05 | 7.378860e+05 | 7.583770e+05 | 7.803840e+05 | 8.041570e+05 | 8.294410e+05 | 8.553800e+05 | 8.807850e+05 | 9.048390e+05 | 9.275030e+05 | 9.491930e+05 | 9.702580e+05 | 9.912260e+05 | 1.012672e+06 | 1.034264e+06 | 1.056366e+06 | 1.081081e+06 | 1.111132e+06 | 1.148302e+06 | 1.193592e+06 | 1.245990e+06 | 1.302741e+06 | 1.359933e+06 | 1.414692e+06 | 1.465740e+06 | 1.513721e+06 | 1.559983e+06 | 1.606718e+06 | 1.655359e+06 | 1.706489e+06 | 1.758994e+06 | 1.810566e+06 | 1.858042e+06 | 1.899257e+06 | 1.933596e+06 | 1.962147e+06 | 1.986535e+06 | 2.009228e+06 | 2.032196e+06 | 2.055734e+06 | 2.079915e+06 | 2.106375e+06 | 2.137040e+06 | 2.173170e+06 | 2.215621e+06 | 2.263934e+06 | 2.316520e+06 | 2.370992e+06 | 2.425561e+06 | 2.479713e+06 | 2.533794e+06 |
| 170 | 170 | New Caledonia | NCL | Population, total | SP.POP.TOTL | 7.900000e+04 | 8.120000e+04 | 8.340000e+04 | 8.570000e+04 | 8.810000e+04 | 9.050000e+04 | 9.350000e+04 | 9.650000e+04 | 9.950000e+04 | 1.040000e+05 | 1.120000e+05 | 1.200000e+05 | 1.255000e+05 | 1.285000e+05 | 1.310000e+05 | 1.325000e+05 | 1.340000e+05 | 1.360000e+05 | 1.375000e+05 | 1.385000e+05 | 1.400500e+05 | 1.426500e+05 | 1.457000e+05 | 1.487000e+05 | 1.516500e+05 | 1.544500e+05 | 1.573500e+05 | 1.605000e+05 | 1.636500e+05 | 1.668980e+05 | 1.708990e+05 | 1.753620e+05 | 1.797990e+05 | 1.844960e+05 | 1.894820e+05 | 1.938160e+05 | 1.975640e+05 | 2.014180e+05 | 2.052790e+05 | 2.092140e+05 | 2.132300e+05 | 2.173240e+05 | 2.214900e+05 | 2.252960e+05 | 2.287500e+05 | 2.322500e+05 | 2.357500e+05 | 2.392500e+05 | 2.427500e+05 | 2.459500e+05 | 2.497500e+05 | 2.543500e+05 | 2.590000e+05 | 2.636500e+05 | 2.680500e+05 | 2.724000e+05 | 2.765500e+05 | 2.804600e+05 |
| 171 | 171 | Niger | NER | Population, total | SP.POP.TOTL | 3.388764e+06 | 3.486295e+06 | 3.588156e+06 | 3.693866e+06 | 3.802640e+06 | 3.913934e+06 | 4.027758e+06 | 4.144395e+06 | 4.263745e+06 | 4.385758e+06 | 4.510479e+06 | 4.637829e+06 | 4.768078e+06 | 4.902006e+06 | 5.040656e+06 | 5.184811e+06 | 5.334918e+06 | 5.490921e+06 | 5.652355e+06 | 5.818506e+06 | 5.988904e+06 | 6.164006e+06 | 6.344382e+06 | 6.529894e+06 | 6.720344e+06 | 6.915927e+06 | 7.116744e+06 | 7.323969e+06 | 7.540253e+06 | 7.768995e+06 | 8.012861e+06 | 8.272976e+06 | 8.549424e+06 | 8.842415e+06 | 9.151763e+06 | 9.477333e+06 | 9.819964e+06 | 1.018006e+07 | 1.055655e+07 | 1.094783e+07 | 1.135297e+07 | 1.177198e+07 | 1.220600e+07 | 1.265687e+07 | 1.312701e+07 | 1.361845e+07 | 1.413206e+07 | 1.466834e+07 | 1.522852e+07 | 1.581391e+07 | 1.642558e+07 | 1.706464e+07 | 1.773163e+07 | 1.842637e+07 | 1.914822e+07 | 1.989696e+07 | 2.067299e+07 | 2.147735e+07 |
| 172 | 172 | Nigeria | NGA | Population, total | SP.POP.TOTL | 4.513781e+07 | 4.606290e+07 | 4.702914e+07 | 4.803225e+07 | 4.906606e+07 | 5.012721e+07 | 5.121736e+07 | 5.234183e+07 | 5.350598e+07 | 5.471674e+07 | 5.598140e+07 | 5.729521e+07 | 5.866260e+07 | 6.011043e+07 | 6.167356e+07 | 6.337357e+07 | 6.522623e+07 | 6.721580e+07 | 6.929355e+07 | 7.139129e+07 | 7.346072e+07 | 7.548255e+07 | 7.747291e+07 | 7.946228e+07 | 8.149774e+07 | 8.361330e+07 | 8.581850e+07 | 8.810163e+07 | 9.045028e+07 | 9.284435e+07 | 9.526999e+07 | 9.772632e+07 | 1.002216e+08 | 1.027617e+08 | 1.053558e+08 | 1.080115e+08 | 1.107329e+08 | 1.135227e+08 | 1.163858e+08 | 1.193271e+08 | 1.223520e+08 | 1.254634e+08 | 1.286667e+08 | 1.319725e+08 | 1.353936e+08 | 1.389395e+08 | 1.426141e+08 | 1.464170e+08 | 1.503474e+08 | 1.544022e+08 | 1.585783e+08 | 1.628771e+08 | 1.672973e+08 | 1.718293e+08 | 1.764605e+08 | 1.811817e+08 | 1.859896e+08 | 1.908863e+08 |
| 173 | 173 | Nicaragua | NIC | Population, total | SP.POP.TOTL | 1.774699e+06 | 1.830400e+06 | 1.886562e+06 | 1.943590e+06 | 2.002119e+06 | 2.062630e+06 | 2.125240e+06 | 2.189882e+06 | 2.256782e+06 | 2.326139e+06 | 2.398096e+06 | 2.472656e+06 | 2.549774e+06 | 2.629505e+06 | 2.711848e+06 | 2.796746e+06 | 2.884155e+06 | 2.973806e+06 | 3.065117e+06 | 3.157355e+06 | 3.249910e+06 | 3.342669e+06 | 3.435525e+06 | 3.527939e+06 | 3.619253e+06 | 3.709091e+06 | 3.796917e+06 | 3.882943e+06 | 3.968454e+06 | 4.055265e+06 | 4.144565e+06 | 4.236801e+06 | 4.331277e+06 | 4.426580e+06 | 4.520725e+06 | 4.612228e+06 | 4.700779e+06 | 4.786640e+06 | 4.869626e+06 | 4.949660e+06 | 5.026796e+06 | 5.100750e+06 | 5.171734e+06 | 5.240879e+06 | 5.309703e+06 | 5.379328e+06 | 5.450211e+06 | 5.522106e+06 | 5.594506e+06 | 5.666581e+06 | 5.737723e+06 | 5.807820e+06 | 5.877108e+06 | 5.945747e+06 | 6.013997e+06 | 6.082035e+06 | 6.149928e+06 | 6.217581e+06 |
| 174 | 174 | Netherlands | NLD | Population, total | SP.POP.TOTL | 1.148663e+07 | 1.163871e+07 | 1.180569e+07 | 1.196597e+07 | 1.212712e+07 | 1.229473e+07 | 1.245625e+07 | 1.259820e+07 | 1.272972e+07 | 1.287798e+07 | 1.303853e+07 | 1.319450e+07 | 1.332859e+07 | 1.343932e+07 | 1.354506e+07 | 1.366634e+07 | 1.377404e+07 | 1.385618e+07 | 1.394170e+07 | 1.403827e+07 | 1.414980e+07 | 1.424721e+07 | 1.431269e+07 | 1.436707e+07 | 1.442421e+07 | 1.449163e+07 | 1.457228e+07 | 1.466504e+07 | 1.476009e+07 | 1.484891e+07 | 1.495151e+07 | 1.506980e+07 | 1.518417e+07 | 1.529037e+07 | 1.538284e+07 | 1.545901e+07 | 1.553050e+07 | 1.561065e+07 | 1.570721e+07 | 1.581209e+07 | 1.592551e+07 | 1.604618e+07 | 1.614893e+07 | 1.622530e+07 | 1.628178e+07 | 1.631987e+07 | 1.634610e+07 | 1.638170e+07 | 1.644559e+07 | 1.653039e+07 | 1.661539e+07 | 1.669307e+07 | 1.675496e+07 | 1.680443e+07 | 1.686501e+07 | 1.693992e+07 | 1.703031e+07 | 1.713285e+07 |
| 175 | 175 | Norway | NOR | Population, total | SP.POP.TOTL | 3.581239e+06 | 3.609800e+06 | 3.638918e+06 | 3.666537e+06 | 3.694339e+06 | 3.723168e+06 | 3.753012e+06 | 3.784539e+06 | 3.816486e+06 | 3.847707e+06 | 3.875763e+06 | 3.903039e+06 | 3.933004e+06 | 3.960612e+06 | 3.985258e+06 | 4.007313e+06 | 4.026152e+06 | 4.043205e+06 | 4.058671e+06 | 4.072517e+06 | 4.085620e+06 | 4.099702e+06 | 4.114787e+06 | 4.128432e+06 | 4.140099e+06 | 4.152516e+06 | 4.167354e+06 | 4.186905e+06 | 4.209488e+06 | 4.226901e+06 | 4.241473e+06 | 4.261732e+06 | 4.286401e+06 | 4.311991e+06 | 4.336613e+06 | 4.359184e+06 | 4.381336e+06 | 4.405157e+06 | 4.431464e+06 | 4.461913e+06 | 4.490967e+06 | 4.513751e+06 | 4.538159e+06 | 4.564855e+06 | 4.591910e+06 | 4.623291e+06 | 4.660677e+06 | 4.709153e+06 | 4.768212e+06 | 4.828726e+06 | 4.889252e+06 | 4.953088e+06 | 5.018573e+06 | 5.079623e+06 | 5.137232e+06 | 5.190239e+06 | 5.234519e+06 | 5.282223e+06 |
| 176 | 176 | Nepal | NPL | Population, total | SP.POP.TOTL | 1.006301e+07 | 1.022176e+07 | 1.038420e+07 | 1.055227e+07 | 1.072820e+07 | 1.091372e+07 | 1.110988e+07 | 1.131683e+07 | 1.153426e+07 | 1.176147e+07 | 1.199793e+07 | 1.224377e+07 | 1.249943e+07 | 1.276496e+07 | 1.304040e+07 | 1.332581e+07 | 1.362111e+07 | 1.392626e+07 | 1.424140e+07 | 1.456669e+07 | 1.490216e+07 | 1.524901e+07 | 1.560724e+07 | 1.597442e+07 | 1.634724e+07 | 1.672396e+07 | 1.710114e+07 | 1.748092e+07 | 1.787367e+07 | 1.829351e+07 | 1.874941e+07 | 1.924505e+07 | 1.977377e+07 | 2.032118e+07 | 2.086713e+07 | 2.139638e+07 | 2.190338e+07 | 2.238980e+07 | 2.285630e+07 | 2.330599e+07 | 2.374091e+07 | 2.416178e+07 | 2.456634e+07 | 2.495062e+07 | 2.530945e+07 | 2.564029e+07 | 2.594062e+07 | 2.621485e+07 | 2.647586e+07 | 2.674110e+07 | 2.702314e+07 | 2.732715e+07 | 2.764992e+07 | 2.798531e+07 | 2.832324e+07 | 2.865628e+07 | 2.898277e+07 | 2.930500e+07 |
| 177 | 177 | Nauru | NRU | Population, total | SP.POP.TOTL | 4.433000e+03 | 4.676000e+03 | 4.948000e+03 | 5.228000e+03 | 5.500000e+03 | 5.740000e+03 | 5.933000e+03 | 6.103000e+03 | 6.237000e+03 | 6.371000e+03 | 6.496000e+03 | 6.617000e+03 | 6.743000e+03 | 6.863000e+03 | 6.972000e+03 | 7.068000e+03 | 7.150000e+03 | 7.232000e+03 | 7.309000e+03 | 7.397000e+03 | 7.488000e+03 | 7.592000e+03 | 7.717000e+03 | 7.854000e+03 | 8.005000e+03 | 8.173000e+03 | 8.353000e+03 | 8.554000e+03 | 8.755000e+03 | 8.954000e+03 | 9.155000e+03 | 9.348000e+03 | 9.546000e+03 | 9.719000e+03 | 9.857000e+03 | 9.969000e+03 | 1.002900e+04 | 1.005700e+04 | 1.004600e+04 | 1.004000e+04 | 1.003700e+04 | 1.005200e+04 | 1.008000e+04 | 1.010600e+04 | 1.012600e+04 | 1.011400e+04 | 1.007100e+04 | 1.000200e+04 | 9.947000e+03 | 9.945000e+03 | 1.002500e+04 | 1.005700e+04 | 1.027900e+04 | 1.082100e+04 | 1.185300e+04 | 1.247500e+04 | 1.304900e+04 | 1.364900e+04 |
| 178 | 178 | New Zealand | NZL | Population, total | SP.POP.TOTL | 2.371800e+06 | 2.419700e+06 | 2.482000e+06 | 2.531800e+06 | 2.585400e+06 | 2.628400e+06 | 2.675900e+06 | 2.724100e+06 | 2.748100e+06 | 2.772800e+06 | 2.810700e+06 | 2.853000e+06 | 2.903900e+06 | 2.961300e+06 | 3.023700e+06 | 3.083100e+06 | 3.110500e+06 | 3.120200e+06 | 3.121200e+06 | 3.109000e+06 | 3.112900e+06 | 3.124900e+06 | 3.156100e+06 | 3.199300e+06 | 3.227100e+06 | 3.247100e+06 | 3.246300e+06 | 3.274400e+06 | 3.283400e+06 | 3.299200e+06 | 3.329800e+06 | 3.495100e+06 | 3.531700e+06 | 3.572200e+06 | 3.620000e+06 | 3.673400e+06 | 3.732000e+06 | 3.781300e+06 | 3.815000e+06 | 3.835100e+06 | 3.857700e+06 | 3.880500e+06 | 3.948500e+06 | 4.027200e+06 | 4.087500e+06 | 4.133900e+06 | 4.184600e+06 | 4.223800e+06 | 4.259800e+06 | 4.302600e+06 | 4.350700e+06 | 4.384000e+06 | 4.408100e+06 | 4.442100e+06 | 4.509700e+06 | 4.595700e+06 | 4.693200e+06 | 4.793900e+06 |
| 179 | 179 | OECD members | OED | Population, total | SP.POP.TOTL | 7.887091e+08 | 8.010244e+08 | 8.119728e+08 | 8.228921e+08 | 8.337811e+08 | 8.443317e+08 | 8.543640e+08 | 8.639991e+08 | 8.727317e+08 | 8.832612e+08 | 8.928399e+08 | 9.031177e+08 | 9.136213e+08 | 9.232536e+08 | 9.339259e+08 | 9.440644e+08 | 9.526817e+08 | 9.614701e+08 | 9.702464e+08 | 9.791483e+08 | 9.879283e+08 | 9.965939e+08 | 1.004837e+09 | 1.012714e+09 | 1.020245e+09 | 1.027840e+09 | 1.035732e+09 | 1.043574e+09 | 1.051553e+09 | 1.060038e+09 | 1.069095e+09 | 1.078768e+09 | 1.088597e+09 | 1.097985e+09 | 1.106886e+09 | 1.115600e+09 | 1.124083e+09 | 1.132508e+09 | 1.140597e+09 | 1.148686e+09 | 1.156569e+09 | 1.164785e+09 | 1.173046e+09 | 1.181329e+09 | 1.189685e+09 | 1.198065e+09 | 1.206821e+09 | 1.215883e+09 | 1.225427e+09 | 1.234203e+09 | 1.242382e+09 | 1.248754e+09 | 1.256621e+09 | 1.264776e+09 | 1.273233e+09 | 1.281593e+09 | 1.289987e+09 | 1.298038e+09 |
| 180 | 180 | Oman | OMN | Population, total | SP.POP.TOTL | 5.517400e+05 | 5.648900e+05 | 5.788240e+05 | 5.935010e+05 | 6.088870e+05 | 6.250090e+05 | 6.420030e+05 | 6.601190e+05 | 6.795970e+05 | 7.007250e+05 | 7.238520e+05 | 7.489730e+05 | 7.763830e+05 | 8.069910e+05 | 8.419480e+05 | 8.820440e+05 | 9.274390e+05 | 9.778080e+05 | 1.032800e+06 | 1.091853e+06 | 1.154379e+06 | 1.220587e+06 | 1.290111e+06 | 1.361097e+06 | 1.431077e+06 | 1.498417e+06 | 1.561185e+06 | 1.619864e+06 | 1.678116e+06 | 1.741160e+06 | 1.812160e+06 | 1.893771e+06 | 1.983277e+06 | 2.072111e+06 | 2.148428e+06 | 2.204283e+06 | 2.236666e+06 | 2.249773e+06 | 2.251875e+06 | 2.254918e+06 | 2.267991e+06 | 2.294787e+06 | 2.334285e+06 | 2.385255e+06 | 2.444751e+06 | 2.511269e+06 | 2.582991e+06 | 2.662762e+06 | 2.759014e+06 | 2.882942e+06 | 3.041460e+06 | 3.237268e+06 | 3.464644e+06 | 3.711481e+06 | 3.960925e+06 | 4.199810e+06 | 4.424762e+06 | 4.636262e+06 |
| 181 | 181 | Other small states | OSS | Population, total | SP.POP.TOTL | 9.196324e+06 | 9.366201e+06 | 9.539303e+06 | 9.715748e+06 | 9.898587e+06 | 1.008671e+07 | 1.027808e+07 | 1.047313e+07 | 1.067696e+07 | 1.088823e+07 | 1.110750e+07 | 1.133782e+07 | 1.157535e+07 | 1.181612e+07 | 1.205931e+07 | 1.230678e+07 | 1.255334e+07 | 1.280273e+07 | 1.305826e+07 | 1.333255e+07 | 1.362883e+07 | 1.394614e+07 | 1.428606e+07 | 1.463979e+07 | 1.500854e+07 | 1.539792e+07 | 1.580594e+07 | 1.623044e+07 | 1.665736e+07 | 1.707524e+07 | 1.747090e+07 | 1.785091e+07 | 1.819102e+07 | 1.850786e+07 | 1.882954e+07 | 1.914933e+07 | 1.947891e+07 | 1.982100e+07 | 2.017082e+07 | 2.054971e+07 | 2.093937e+07 | 2.132412e+07 | 2.172206e+07 | 2.214134e+07 | 2.260052e+07 | 2.311279e+07 | 2.368156e+07 | 2.430079e+07 | 2.495574e+07 | 2.561542e+07 | 2.626705e+07 | 2.690015e+07 | 2.752960e+07 | 2.815308e+07 | 2.877402e+07 | 2.939650e+07 | 3.001250e+07 | 3.062101e+07 |
| 182 | 182 | Pakistan | PAK | Population, total | SP.POP.TOTL | 4.490829e+07 | 4.598489e+07 | 4.711936e+07 | 4.830932e+07 | 4.955190e+07 | 5.084522e+07 | 5.219110e+07 | 5.359093e+07 | 5.504240e+07 | 5.654243e+07 | 5.809076e+07 | 5.968714e+07 | 6.133826e+07 | 6.305948e+07 | 6.487083e+07 | 6.678790e+07 | 6.881322e+07 | 7.094623e+07 | 7.319494e+07 | 7.556768e+07 | 7.806814e+07 | 8.069694e+07 | 8.344586e+07 | 8.629764e+07 | 8.922895e+07 | 9.221949e+07 | 9.526446e+07 | 9.835747e+07 | 1.014748e+08 | 1.045885e+08 | 1.076786e+08 | 1.107304e+08 | 1.137471e+08 | 1.167496e+08 | 1.197696e+08 | 1.228291e+08 | 1.259383e+08 | 1.290870e+08 | 1.322533e+08 | 1.354056e+08 | 1.385233e+08 | 1.416014e+08 | 1.446541e+08 | 1.477034e+08 | 1.507803e+08 | 1.539097e+08 | 1.570940e+08 | 1.603330e+08 | 1.636446e+08 | 1.670496e+08 | 1.705602e+08 | 1.741843e+08 | 1.779115e+08 | 1.817126e+08 | 1.855463e+08 | 1.893805e+08 | 1.932035e+08 | 1.970160e+08 |
| 183 | 183 | Panama | PAN | Population, total | SP.POP.TOTL | 1.132921e+06 | 1.167035e+06 | 1.202373e+06 | 1.238823e+06 | 1.276276e+06 | 1.314626e+06 | 1.353804e+06 | 1.393799e+06 | 1.434657e+06 | 1.476479e+06 | 1.519299e+06 | 1.563115e+06 | 1.607834e+06 | 1.653256e+06 | 1.699113e+06 | 1.745205e+06 | 1.791453e+06 | 1.837890e+06 | 1.884515e+06 | 1.931389e+06 | 1.978578e+06 | 2.026065e+06 | 2.073844e+06 | 2.121939e+06 | 2.170409e+06 | 2.219276e+06 | 2.268574e+06 | 2.318332e+06 | 2.368618e+06 | 2.419491e+06 | 2.471009e+06 | 2.523181e+06 | 2.576018e+06 | 2.629644e+06 | 2.684183e+06 | 2.739730e+06 | 2.796344e+06 | 2.853941e+06 | 2.912328e+06 | 2.971197e+06 | 3.030347e+06 | 3.089684e+06 | 3.149265e+06 | 3.209174e+06 | 3.269541e+06 | 3.330465e+06 | 3.391905e+06 | 3.453807e+06 | 3.516268e+06 | 3.579385e+06 | 3.643222e+06 | 3.707782e+06 | 3.772938e+06 | 3.838462e+06 | 3.903986e+06 | 3.969249e+06 | 4.034119e+06 | 4.098587e+06 |
| 184 | 184 | Peru | PER | Population, total | SP.POP.TOTL | 1.006152e+07 | 1.035024e+07 | 1.065067e+07 | 1.096154e+07 | 1.128102e+07 | 1.160768e+07 | 1.194132e+07 | 1.228208e+07 | 1.262933e+07 | 1.298245e+07 | 1.334107e+07 | 1.370434e+07 | 1.407248e+07 | 1.444765e+07 | 1.483284e+07 | 1.522995e+07 | 1.563990e+07 | 1.606132e+07 | 1.649108e+07 | 1.692475e+07 | 1.735912e+07 | 1.779255e+07 | 1.822573e+07 | 1.866044e+07 | 1.909958e+07 | 1.954496e+07 | 1.999625e+07 | 2.045171e+07 | 2.090990e+07 | 2.136886e+07 | 2.182666e+07 | 2.228313e+07 | 2.273706e+07 | 2.318423e+07 | 2.361936e+07 | 2.403876e+07 | 2.444107e+07 | 2.482741e+07 | 2.519975e+07 | 2.556130e+07 | 2.591488e+07 | 2.626136e+07 | 2.660147e+07 | 2.693774e+07 | 2.727319e+07 | 2.761041e+07 | 2.794994e+07 | 2.829272e+07 | 2.864198e+07 | 2.900151e+07 | 2.937365e+07 | 2.975999e+07 | 3.015897e+07 | 3.056572e+07 | 3.097335e+07 | 3.137667e+07 | 3.177384e+07 | 3.216548e+07 |
| 185 | 185 | Philippines | PHL | Population, total | SP.POP.TOTL | 2.627302e+07 | 2.716462e+07 | 2.808123e+07 | 2.901677e+07 | 2.996288e+07 | 3.091393e+07 | 3.186756e+07 | 3.282660e+07 | 3.379704e+07 | 3.478759e+07 | 3.580473e+07 | 3.685106e+07 | 3.792540e+07 | 3.902608e+07 | 4.014996e+07 | 4.129512e+07 | 4.246119e+07 | 4.365033e+07 | 4.486627e+07 | 4.611400e+07 | 4.739697e+07 | 4.871559e+07 | 5.006849e+07 | 5.145503e+07 | 5.287397e+07 | 5.432365e+07 | 5.580407e+07 | 5.731331e+07 | 5.884520e+07 | 6.039187e+07 | 6.194735e+07 | 6.350846e+07 | 6.507549e+07 | 6.665025e+07 | 6.823623e+07 | 6.983572e+07 | 7.144611e+07 | 7.306476e+07 | 7.469370e+07 | 7.633581e+07 | 7.799157e+07 | 7.966532e+07 | 8.135206e+07 | 8.303195e+07 | 8.467849e+07 | 8.627424e+07 | 8.780942e+07 | 8.929349e+07 | 9.075186e+07 | 9.222088e+07 | 9.372662e+07 | 9.527794e+07 | 9.686664e+07 | 9.848103e+07 | 1.001022e+08 | 1.017164e+08 | 1.033202e+08 | 1.049181e+08 |
| 186 | 186 | Palau | PLW | Population, total | SP.POP.TOTL | 9.642000e+03 | 9.900000e+03 | 1.015100e+04 | 1.037800e+04 | 1.059300e+04 | 1.078200e+04 | 1.094600e+04 | 1.108000e+04 | 1.120500e+04 | 1.133100e+04 | 1.148000e+04 | 1.165400e+04 | 1.185200e+04 | 1.204600e+04 | 1.219700e+04 | 1.227800e+04 | 1.228500e+04 | 1.222500e+04 | 1.215300e+04 | 1.212400e+04 | 1.219400e+04 | 1.238700e+04 | 1.266300e+04 | 1.301200e+04 | 1.337200e+04 | 1.369600e+04 | 1.398500e+04 | 1.424000e+04 | 1.449000e+04 | 1.475700e+04 | 1.508800e+04 | 1.547400e+04 | 1.589400e+04 | 1.634200e+04 | 1.680600e+04 | 1.725300e+04 | 1.769100e+04 | 1.812300e+04 | 1.852400e+04 | 1.887900e+04 | 1.917500e+04 | 1.940400e+04 | 1.957400e+04 | 1.970000e+04 | 1.980400e+04 | 1.990600e+04 | 2.001200e+04 | 2.011600e+04 | 2.022800e+04 | 2.034200e+04 | 2.047000e+04 | 2.059900e+04 | 2.075800e+04 | 2.092000e+04 | 2.109400e+04 | 2.128800e+04 | 2.150300e+04 | 2.172900e+04 |
| 187 | 187 | Papua New Guinea | PNG | Population, total | SP.POP.TOTL | 2.010677e+06 | 2.051947e+06 | 2.094687e+06 | 2.139303e+06 | 2.186340e+06 | 2.236206e+06 | 2.289109e+06 | 2.344977e+06 | 2.403595e+06 | 2.464548e+06 | 2.527586e+06 | 2.592628e+06 | 2.659851e+06 | 2.729580e+06 | 2.802243e+06 | 2.878156e+06 | 2.957339e+06 | 3.039660e+06 | 3.125034e+06 | 3.213360e+06 | 3.304473e+06 | 3.398469e+06 | 3.495199e+06 | 3.594004e+06 | 3.694041e+06 | 3.794720e+06 | 3.895852e+06 | 3.997702e+06 | 4.100729e+06 | 4.205654e+06 | 4.313059e+06 | 4.423007e+06 | 4.535520e+06 | 4.651169e+06 | 4.770606e+06 | 4.894276e+06 | 5.022437e+06 | 5.154910e+06 | 5.291178e+06 | 5.430479e+06 | 5.572222e+06 | 5.716152e+06 | 5.862316e+06 | 6.010724e+06 | 6.161517e+06 | 6.314709e+06 | 6.470272e+06 | 6.627922e+06 | 6.787187e+06 | 6.947447e+06 | 7.108239e+06 | 7.269348e+06 | 7.430836e+06 | 7.592865e+06 | 7.755785e+06 | 7.919825e+06 | 8.084991e+06 | 8.251162e+06 |
| 188 | 188 | Poland | POL | Population, total | SP.POP.TOTL | 2.963745e+07 | 2.996400e+07 | 3.030850e+07 | 3.071200e+07 | 3.113945e+07 | 3.144495e+07 | 3.168100e+07 | 3.198716e+07 | 3.229466e+07 | 3.254830e+07 | 3.266430e+07 | 3.278350e+07 | 3.305565e+07 | 3.335720e+07 | 3.367890e+07 | 3.401520e+07 | 3.435630e+07 | 3.468905e+07 | 3.496560e+07 | 3.524722e+07 | 3.557415e+07 | 3.589859e+07 | 3.623048e+07 | 3.657181e+07 | 3.690413e+07 | 3.720188e+07 | 3.745612e+07 | 3.766804e+07 | 3.782449e+07 | 3.796153e+07 | 3.811078e+07 | 3.824619e+07 | 3.836367e+07 | 3.846141e+07 | 3.854265e+07 | 3.859500e+07 | 3.862437e+07 | 3.864966e+07 | 3.866348e+07 | 3.866027e+07 | 3.825863e+07 | 3.824808e+07 | 3.823036e+07 | 3.820457e+07 | 3.818222e+07 | 3.816544e+07 | 3.814127e+07 | 3.812056e+07 | 3.812576e+07 | 3.815160e+07 | 3.804279e+07 | 3.806326e+07 | 3.806316e+07 | 3.804020e+07 | 3.801174e+07 | 3.798641e+07 | 3.797009e+07 | 3.797584e+07 |
| 189 | 189 | Pre-demographic dividend | PRE | Population, total | SP.POP.TOTL | 1.886362e+08 | 1.929575e+08 | 1.974661e+08 | 2.021691e+08 | 2.070740e+08 | 2.121872e+08 | 2.175228e+08 | 2.230866e+08 | 2.288681e+08 | 2.348506e+08 | 2.410277e+08 | 2.473764e+08 | 2.539147e+08 | 2.607252e+08 | 2.679189e+08 | 2.755653e+08 | 2.837156e+08 | 2.923214e+08 | 3.012307e+08 | 3.102309e+08 | 3.191749e+08 | 3.280210e+08 | 3.368347e+08 | 3.457112e+08 | 3.547941e+08 | 3.641995e+08 | 3.739305e+08 | 3.839848e+08 | 3.944657e+08 | 4.054976e+08 | 4.171588e+08 | 4.295314e+08 | 4.425735e+08 | 4.560867e+08 | 4.697908e+08 | 4.834960e+08 | 4.971260e+08 | 5.107779e+08 | 5.246474e+08 | 5.390181e+08 | 5.540975e+08 | 5.699597e+08 | 5.865532e+08 | 6.038099e+08 | 6.216115e+08 | 6.398769e+08 | 6.585865e+08 | 6.777888e+08 | 6.975491e+08 | 7.179597e+08 | 7.390823e+08 | 7.609421e+08 | 7.835058e+08 | 8.067054e+08 | 8.304427e+08 | 8.546460e+08 | 8.792925e+08 | 9.043998e+08 |
| 190 | 190 | Puerto Rico | PRI | Population, total | SP.POP.TOTL | 2.358000e+06 | 2.399722e+06 | 2.450322e+06 | 2.504530e+06 | 2.554066e+06 | 2.594000e+06 | 2.624995e+06 | 2.645674e+06 | 2.662064e+06 | 2.684150e+06 | 2.718000e+06 | 2.762190e+06 | 2.817256e+06 | 2.878786e+06 | 2.939299e+06 | 2.994000e+06 | 3.043854e+06 | 3.088690e+06 | 3.129421e+06 | 3.168088e+06 | 3.206000e+06 | 3.242552e+06 | 3.277453e+06 | 3.311138e+06 | 3.344190e+06 | 3.377000e+06 | 3.409554e+06 | 3.441850e+06 | 3.473898e+06 | 3.505650e+06 | 3.537000e+06 | 3.562110e+06 | 3.585176e+06 | 3.615497e+06 | 3.649237e+06 | 3.683103e+06 | 3.724655e+06 | 3.759430e+06 | 3.781101e+06 | 3.800081e+06 | 3.810605e+06 | 3.818774e+06 | 3.823701e+06 | 3.826095e+06 | 3.826878e+06 | 3.821362e+06 | 3.805214e+06 | 3.782995e+06 | 3.760866e+06 | 3.740410e+06 | 3.721525e+06 | 3.678732e+06 | 3.634488e+06 | 3.593077e+06 | 3.534874e+06 | 3.473177e+06 | 3.406520e+06 | 3.337177e+06 |
| 191 | 191 | Korea, Dem. People’s Rep. | PRK | Population, total | SP.POP.TOTL | 1.142418e+07 | 1.166560e+07 | 1.187171e+07 | 1.206547e+07 | 1.228242e+07 | 1.254752e+07 | 1.286495e+07 | 1.322269e+07 | 1.360998e+07 | 1.401034e+07 | 1.441040e+07 | 1.480952e+07 | 1.520777e+07 | 1.559335e+07 | 1.595208e+07 | 1.627474e+07 | 1.655475e+07 | 1.679658e+07 | 1.701598e+07 | 1.723567e+07 | 1.747214e+07 | 1.773123e+07 | 1.800856e+07 | 1.829821e+07 | 1.859014e+07 | 1.887724e+07 | 1.915680e+07 | 1.943199e+07 | 1.970832e+07 | 1.999376e+07 | 2.029305e+07 | 2.060915e+07 | 2.093740e+07 | 2.126583e+07 | 2.157798e+07 | 2.186230e+07 | 2.211355e+07 | 2.233564e+07 | 2.253734e+07 | 2.273198e+07 | 2.292908e+07 | 2.313181e+07 | 2.333668e+07 | 2.353854e+07 | 2.372950e+07 | 2.390417e+07 | 2.406110e+07 | 2.420329e+07 | 2.433515e+07 | 2.446302e+07 | 2.459160e+07 | 2.472230e+07 | 2.485403e+07 | 2.498598e+07 | 2.511636e+07 | 2.524392e+07 | 2.536862e+07 | 2.549096e+07 |
| 192 | 192 | Portugal | PRT | Population, total | SP.POP.TOTL | 8.857716e+06 | 8.929316e+06 | 8.993985e+06 | 9.030355e+06 | 9.035365e+06 | 8.998595e+06 | 8.930990e+06 | 8.874520e+06 | 8.836650e+06 | 8.757705e+06 | 8.680431e+06 | 8.643756e+06 | 8.630430e+06 | 8.633100e+06 | 8.754365e+06 | 9.093470e+06 | 9.355810e+06 | 9.455675e+06 | 9.558250e+06 | 9.661265e+06 | 9.766312e+06 | 9.851362e+06 | 9.911771e+06 | 9.957865e+06 | 9.996232e+06 | 1.002361e+07 | 1.003273e+07 | 1.003003e+07 | 1.001961e+07 | 1.000500e+07 | 9.983218e+06 | 9.960235e+06 | 9.952494e+06 | 9.964675e+06 | 9.991525e+06 | 1.002618e+07 | 1.006394e+07 | 1.010898e+07 | 1.016020e+07 | 1.021783e+07 | 1.028990e+07 | 1.036272e+07 | 1.041963e+07 | 1.045882e+07 | 1.048386e+07 | 1.050333e+07 | 1.052229e+07 | 1.054296e+07 | 1.055818e+07 | 1.056825e+07 | 1.057310e+07 | 1.055756e+07 | 1.051484e+07 | 1.045730e+07 | 1.040106e+07 | 1.035808e+07 | 1.032545e+07 | 1.029372e+07 |
| 193 | 193 | Paraguay | PRY | Population, total | SP.POP.TOTL | 1.902875e+06 | 1.953328e+06 | 2.005337e+06 | 2.058915e+06 | 2.114095e+06 | 2.170859e+06 | 2.229376e+06 | 2.289582e+06 | 2.350901e+06 | 2.412566e+06 | 2.474106e+06 | 2.535359e+06 | 2.596739e+06 | 2.659088e+06 | 2.723523e+06 | 2.790962e+06 | 2.861581e+06 | 2.935375e+06 | 3.012829e+06 | 3.094482e+06 | 3.180630e+06 | 3.271456e+06 | 3.366719e+06 | 3.465793e+06 | 3.567752e+06 | 3.671826e+06 | 3.777763e+06 | 3.885436e+06 | 3.994331e+06 | 4.103911e+06 | 4.213742e+06 | 4.323410e+06 | 4.432736e+06 | 4.541902e+06 | 4.651225e+06 | 4.760850e+06 | 4.870694e+06 | 4.980344e+06 | 5.089310e+06 | 5.196937e+06 | 5.302700e+06 | 5.406624e+06 | 5.508611e+06 | 5.607950e+06 | 5.703740e+06 | 5.795494e+06 | 5.882796e+06 | 5.966159e+06 | 6.047117e+06 | 6.127837e+06 | 6.209877e+06 | 6.293783e+06 | 6.379219e+06 | 6.465740e+06 | 6.552584e+06 | 6.639119e+06 | 6.725308e+06 | 6.811297e+06 |
| 194 | 194 | West Bank and Gaza | PSE | Population, total | SP.POP.TOTL | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1.978248e+06 | 2.068845e+06 | 2.163591e+06 | 2.262676e+06 | 2.366298e+06 | 2.474666e+06 | 2.587997e+06 | 2.706518e+06 | 2.776568e+06 | 2.848431e+06 | 2.922153e+06 | 2.997784e+06 | 3.075373e+06 | 3.154969e+06 | 3.236626e+06 | 3.320396e+06 | 3.406334e+06 | 3.494496e+06 | 3.596688e+06 | 3.702218e+06 | 3.811102e+06 | 3.927051e+06 | 4.046901e+06 | 4.169506e+06 | 4.294682e+06 | 4.422143e+06 | 4.551566e+06 | 4.684777e+06 |
| 195 | 195 | Pacific island small states | PSS | Population, total | SP.POP.TOTL | 8.658090e+05 | 8.942140e+05 | 9.242210e+05 | 9.551010e+05 | 9.858730e+05 | 1.015765e+06 | 1.044547e+06 | 1.072398e+06 | 1.099416e+06 | 1.125870e+06 | 1.152036e+06 | 1.177890e+06 | 1.203419e+06 | 1.228877e+06 | 1.254518e+06 | 1.280559e+06 | 1.306931e+06 | 1.333618e+06 | 1.361131e+06 | 1.390032e+06 | 1.420671e+06 | 1.453516e+06 | 1.488183e+06 | 1.523011e+06 | 1.555765e+06 | 1.585014e+06 | 1.609916e+06 | 1.631160e+06 | 1.650645e+06 | 1.671076e+06 | 1.694408e+06 | 1.721262e+06 | 1.750902e+06 | 1.782065e+06 | 1.812877e+06 | 1.841944e+06 | 1.869026e+06 | 1.894564e+06 | 1.918741e+06 | 1.941848e+06 | 1.964216e+06 | 1.985712e+06 | 2.006448e+06 | 2.027212e+06 | 2.049025e+06 | 2.072665e+06 | 2.098492e+06 | 2.126235e+06 | 2.155339e+06 | 2.184837e+06 | 2.214096e+06 | 2.242763e+06 | 2.271298e+06 | 2.300045e+06 | 2.329458e+06 | 2.358955e+06 | 2.388875e+06 | 2.419188e+06 |
| 196 | 196 | Post-demographic dividend | PST | Population, total | SP.POP.TOTL | 7.547053e+08 | 7.655171e+08 | 7.749706e+08 | 7.842745e+08 | 7.934057e+08 | 8.022348e+08 | 8.104773e+08 | 8.181624e+08 | 8.248813e+08 | 8.333073e+08 | 8.408435e+08 | 8.489647e+08 | 8.570320e+08 | 8.641056e+08 | 8.721961e+08 | 8.796506e+08 | 8.855292e+08 | 8.915850e+08 | 8.976827e+08 | 9.040347e+08 | 9.101105e+08 | 9.161872e+08 | 9.217024e+08 | 9.267849e+08 | 9.315675e+08 | 9.363915e+08 | 9.416376e+08 | 9.469646e+08 | 9.525085e+08 | 9.584587e+08 | 9.646019e+08 | 9.709058e+08 | 9.777311e+08 | 9.842875e+08 | 9.899943e+08 | 9.954143e+08 | 1.000644e+09 | 1.005864e+09 | 1.010699e+09 | 1.015607e+09 | 1.020592e+09 | 1.025668e+09 | 1.030742e+09 | 1.035919e+09 | 1.041303e+09 | 1.046611e+09 | 1.052237e+09 | 1.058175e+09 | 1.064603e+09 | 1.070108e+09 | 1.075131e+09 | 1.078064e+09 | 1.082727e+09 | 1.087610e+09 | 1.092679e+09 | 1.097736e+09 | 1.102779e+09 | 1.107375e+09 |
| 197 | 197 | French Polynesia | PYF | Population, total | SP.POP.TOTL | 7.807600e+04 | 8.070300e+04 | 8.365100e+04 | 8.683700e+04 | 9.013200e+04 | 9.343800e+04 | 9.673200e+04 | 1.000290e+05 | 1.033860e+05 | 1.068570e+05 | 1.104950e+05 | 1.143130e+05 | 1.182790e+05 | 1.223560e+05 | 1.264860e+05 | 1.306190e+05 | 1.347480e+05 | 1.388640e+05 | 1.430320e+05 | 1.472960e+05 | 1.517080e+05 | 1.562430e+05 | 1.608880e+05 | 1.656130e+05 | 1.703960e+05 | 1.752040e+05 | 1.800750e+05 | 1.849500e+05 | 1.897380e+05 | 1.942520e+05 | 1.983750e+05 | 2.020160e+05 | 2.052660e+05 | 2.083450e+05 | 2.115790e+05 | 2.151960e+05 | 2.192830e+05 | 2.237310e+05 | 2.283760e+05 | 2.329520e+05 | 2.372580e+05 | 2.412730e+05 | 2.450060e+05 | 2.484990e+05 | 2.517750e+05 | 2.548860e+05 | 2.578320e+05 | 2.605940e+05 | 2.631790e+05 | 2.655810e+05 | 2.678200e+05 | 2.698430e+05 | 2.717030e+05 | 2.735280e+05 | 2.754840e+05 | 2.776900e+05 | 2.802080e+05 | 2.830070e+05 |
| 198 | 198 | Qatar | QAT | Population, total | SP.POP.TOTL | 4.738400e+04 | 5.142100e+04 | 5.626300e+04 | 6.171700e+04 | 6.756700e+04 | 7.363300e+04 | 7.984400e+04 | 8.629500e+04 | 9.320100e+04 | 1.008740e+05 | 1.095140e+05 | 1.194240e+05 | 1.305340e+05 | 1.422410e+05 | 1.537040e+05 | 1.644130e+05 | 1.738360e+05 | 1.824430e+05 | 1.920930e+05 | 2.053130e+05 | 2.237750e+05 | 2.481440e+05 | 2.773960e+05 | 3.094790e+05 | 3.414550e+05 | 3.710810e+05 | 3.979320e+05 | 4.223410e+05 | 4.437940e+05 | 4.618700e+05 | 4.764450e+05 | 4.874910e+05 | 4.955170e+05 | 5.015660e+05 | 5.070950e+05 | 5.134550e+05 | 5.223040e+05 | 5.346080e+05 | 5.504300e+05 | 5.694470e+05 | 5.922670e+05 | 6.168860e+05 | 6.456590e+05 | 6.885860e+05 | 7.588550e+05 | 8.648630e+05 | 1.010382e+06 | 1.189633e+06 | 1.389342e+06 | 1.590780e+06 | 1.779676e+06 | 1.952054e+06 | 2.109568e+06 | 2.250473e+06 | 2.374419e+06 | 2.481539e+06 | 2.569804e+06 | 2.639211e+06 |
| 199 | 199 | Romania | ROU | Population, total | SP.POP.TOTL | 1.840690e+07 | 1.855525e+07 | 1.867655e+07 | 1.879785e+07 | 1.891913e+07 | 1.903158e+07 | 1.921545e+07 | 1.953424e+07 | 1.979983e+07 | 2.000914e+07 | 2.025040e+07 | 2.046157e+07 | 2.065796e+07 | 2.083568e+07 | 2.102943e+07 | 2.129358e+07 | 2.155163e+07 | 2.175610e+07 | 2.195146e+07 | 2.209049e+07 | 2.224265e+07 | 2.241517e+07 | 2.251539e+07 | 2.258879e+07 | 2.265594e+07 | 2.275543e+07 | 2.285927e+07 | 2.294943e+07 | 2.305766e+07 | 2.316146e+07 | 2.320184e+07 | 2.300116e+07 | 2.279428e+07 | 2.276328e+07 | 2.273021e+07 | 2.268427e+07 | 2.261900e+07 | 2.255398e+07 | 2.250734e+07 | 2.247204e+07 | 2.244297e+07 | 2.213197e+07 | 2.173050e+07 | 2.157433e+07 | 2.145175e+07 | 2.131968e+07 | 2.119376e+07 | 2.088298e+07 | 2.053788e+07 | 2.036749e+07 | 2.024687e+07 | 2.014753e+07 | 2.005804e+07 | 1.998369e+07 | 1.990898e+07 | 1.981548e+07 | 1.970233e+07 | 1.958654e+07 |
| 200 | 200 | Russian Federation | RUS | Population, total | SP.POP.TOTL | 1.198970e+08 | 1.212360e+08 | 1.225910e+08 | 1.239600e+08 | 1.253450e+08 | 1.267450e+08 | 1.274680e+08 | 1.281960e+08 | 1.289280e+08 | 1.296640e+08 | 1.304040e+08 | 1.311550e+08 | 1.319090e+08 | 1.326690e+08 | 1.334320e+08 | 1.342000e+08 | 1.351470e+08 | 1.361000e+08 | 1.370600e+08 | 1.380270e+08 | 1.390100e+08 | 1.399410e+08 | 1.408230e+08 | 1.416680e+08 | 1.427450e+08 | 1.438580e+08 | 1.448940e+08 | 1.459080e+08 | 1.468570e+08 | 1.477210e+08 | 1.482920e+08 | 1.486240e+08 | 1.486890e+08 | 1.485200e+08 | 1.483360e+08 | 1.483757e+08 | 1.481600e+08 | 1.479153e+08 | 1.476707e+08 | 1.472144e+08 | 1.465966e+08 | 1.459761e+08 | 1.453060e+08 | 1.446483e+08 | 1.440671e+08 | 1.435185e+08 | 1.430495e+08 | 1.428051e+08 | 1.427424e+08 | 1.427853e+08 | 1.428494e+08 | 1.429609e+08 | 1.432017e+08 | 1.435069e+08 | 1.438197e+08 | 1.440969e+08 | 1.443424e+08 | 1.444950e+08 |
| 201 | 201 | Rwanda | RWA | Population, total | SP.POP.TOTL | 2.933428e+06 | 2.996096e+06 | 3.050604e+06 | 3.102972e+06 | 3.161724e+06 | 3.232934e+06 | 3.319082e+06 | 3.418317e+06 | 3.527263e+06 | 3.640591e+06 | 3.754541e+06 | 3.868337e+06 | 3.983700e+06 | 4.102321e+06 | 4.226799e+06 | 4.359092e+06 | 4.499509e+06 | 4.647615e+06 | 4.803725e+06 | 4.968074e+06 | 5.140716e+06 | 5.315032e+06 | 5.489322e+06 | 5.673614e+06 | 5.881906e+06 | 6.120107e+06 | 6.407672e+06 | 6.732131e+06 | 7.030179e+06 | 7.216028e+06 | 7.235798e+06 | 7.051759e+06 | 6.701851e+06 | 6.299909e+06 | 6.005095e+06 | 5.928078e+06 | 6.115168e+06 | 6.522382e+06 | 7.059813e+06 | 7.593239e+06 | 8.025703e+06 | 8.329406e+06 | 8.536205e+06 | 8.680346e+06 | 8.818438e+06 | 8.991735e+06 | 9.206580e+06 | 9.447402e+06 | 9.708169e+06 | 9.977446e+06 | 1.024684e+07 | 1.051607e+07 | 1.078885e+07 | 1.106515e+07 | 1.134536e+07 | 1.162955e+07 | 1.191751e+07 | 1.220841e+07 |
| 202 | 202 | South Asia | SAS | Population, total | SP.POP.TOTL | 5.718357e+08 | 5.838941e+08 | 5.964139e+08 | 6.093918e+08 | 6.228226e+08 | 6.367018e+08 | 6.510364e+08 | 6.658267e+08 | 6.810549e+08 | 6.966972e+08 | 7.127409e+08 | 7.291736e+08 | 7.460124e+08 | 7.633106e+08 | 7.811406e+08 | 7.995533e+08 | 8.185604e+08 | 8.381423e+08 | 8.582779e+08 | 8.789330e+08 | 9.000765e+08 | 9.216969e+08 | 9.437816e+08 | 9.662936e+08 | 9.891890e+08 | 1.012430e+09 | 1.035983e+09 | 1.059829e+09 | 1.083963e+09 | 1.108386e+09 | 1.133089e+09 | 1.158058e+09 | 1.183254e+09 | 1.208613e+09 | 1.234059e+09 | 1.259531e+09 | 1.284978e+09 | 1.310388e+09 | 1.335778e+09 | 1.361185e+09 | 1.386626e+09 | 1.412104e+09 | 1.437568e+09 | 1.462907e+09 | 1.487975e+09 | 1.512671e+09 | 1.536944e+09 | 1.560819e+09 | 1.584359e+09 | 1.607664e+09 | 1.630807e+09 | 1.653799e+09 | 1.676615e+09 | 1.699310e+09 | 1.721848e+09 | 1.744200e+09 | 1.766394e+09 | 1.788389e+09 |
| 203 | 203 | Saudi Arabia | SAU | Population, total | SP.POP.TOTL | 4.086539e+06 | 4.218879e+06 | 4.362864e+06 | 4.516659e+06 | 4.677404e+06 | 4.843635e+06 | 5.015204e+06 | 5.194846e+06 | 5.387486e+06 | 5.599628e+06 | 5.836389e+06 | 6.100994e+06 | 6.393894e+06 | 6.714095e+06 | 7.059334e+06 | 7.428703e+06 | 7.818613e+06 | 8.231604e+06 | 8.679840e+06 | 9.179621e+06 | 9.740599e+06 | 1.036666e+07 | 1.104808e+07 | 1.176384e+07 | 1.248497e+07 | 1.318912e+07 | 1.386901e+07 | 1.452566e+07 | 1.515522e+07 | 1.575594e+07 | 1.632682e+07 | 1.686783e+07 | 1.737883e+07 | 1.785975e+07 | 1.831109e+07 | 1.873584e+07 | 1.913158e+07 | 1.950558e+07 | 1.988246e+07 | 2.029441e+07 | 2.076431e+07 | 2.130359e+07 | 2.190631e+07 | 2.255642e+07 | 2.322889e+07 | 2.390565e+07 | 2.457830e+07 | 2.525257e+07 | 2.594077e+07 | 2.666149e+07 | 2.742568e+07 | 2.823802e+07 | 2.908636e+07 | 2.994448e+07 | 3.077672e+07 | 3.155714e+07 | 3.227569e+07 | 3.293821e+07 |
| 204 | 204 | Sudan | SDN | Population, total | SP.POP.TOTL | 7.544491e+06 | 7.769482e+06 | 8.004121e+06 | 8.248812e+06 | 8.503994e+06 | 8.770097e+06 | 9.047798e+06 | 9.337657e+06 | 9.639840e+06 | 9.954410e+06 | 1.028170e+07 | 1.062147e+07 | 1.097462e+07 | 1.134393e+07 | 1.173296e+07 | 1.214414e+07 | 1.257841e+07 | 1.303462e+07 | 1.351042e+07 | 1.400230e+07 | 1.450747e+07 | 1.502727e+07 | 1.556219e+07 | 1.610773e+07 | 1.665805e+07 | 1.721019e+07 | 1.775717e+07 | 1.830259e+07 | 1.886632e+07 | 1.947561e+07 | 2.014759e+07 | 2.089362e+07 | 2.170148e+07 | 2.253594e+07 | 2.334788e+07 | 2.410299e+07 | 2.478619e+07 | 2.541045e+07 | 2.600354e+07 | 2.660704e+07 | 2.725054e+07 | 2.794500e+07 | 2.867956e+07 | 2.943594e+07 | 3.018634e+07 | 3.091191e+07 | 3.160706e+07 | 3.228253e+07 | 3.295550e+07 | 3.365062e+07 | 3.438596e+07 | 3.516731e+07 | 3.599019e+07 | 3.684992e+07 | 3.773791e+07 | 3.864780e+07 | 3.957883e+07 | 4.053333e+07 |
| 205 | 205 | Senegal | SEN | Population, total | SP.POP.TOTL | 3.206749e+06 | 3.295293e+06 | 3.386863e+06 | 3.481745e+06 | 3.580312e+06 | 3.682876e+06 | 3.789211e+06 | 3.899237e+06 | 4.013539e+06 | 4.132844e+06 | 4.257505e+06 | 4.388458e+06 | 4.525114e+06 | 4.664444e+06 | 4.802348e+06 | 4.936209e+06 | 5.064674e+06 | 5.189539e+06 | 5.315265e+06 | 5.448110e+06 | 5.592646e+06 | 5.750338e+06 | 5.920059e+06 | 6.100495e+06 | 6.289327e+06 | 6.484738e+06 | 6.686159e+06 | 6.893896e+06 | 7.107976e+06 | 7.328600e+06 | 7.555617e+06 | 7.789653e+06 | 8.029725e+06 | 8.272170e+06 | 8.512173e+06 | 8.746606e+06 | 8.974077e+06 | 9.196528e+06 | 9.418393e+06 | 9.645957e+06 | 9.884052e+06 | 1.013450e+07 | 1.039686e+07 | 1.067099e+07 | 1.095594e+07 | 1.125127e+07 | 1.155676e+07 | 1.187356e+07 | 1.220396e+07 | 1.255092e+07 | 1.291623e+07 | 1.330091e+07 | 1.370351e+07 | 1.412032e+07 | 1.454611e+07 | 1.497699e+07 | 1.541161e+07 | 1.585057e+07 |
| 206 | 206 | Singapore | SGP | Population, total | SP.POP.TOTL | 1.646400e+06 | 1.702400e+06 | 1.750200e+06 | 1.795000e+06 | 1.841600e+06 | 1.886900e+06 | 1.934400e+06 | 1.977600e+06 | 2.012000e+06 | 2.042500e+06 | 2.074500e+06 | 2.112900e+06 | 2.152400e+06 | 2.193000e+06 | 2.229800e+06 | 2.262600e+06 | 2.293300e+06 | 2.325300e+06 | 2.353600e+06 | 2.383500e+06 | 2.413945e+06 | 2.532835e+06 | 2.646466e+06 | 2.681061e+06 | 2.732221e+06 | 2.735957e+06 | 2.733373e+06 | 2.774789e+06 | 2.846108e+06 | 2.930901e+06 | 3.047132e+06 | 3.135083e+06 | 3.230698e+06 | 3.313471e+06 | 3.419048e+06 | 3.524506e+06 | 3.670704e+06 | 3.796038e+06 | 3.927213e+06 | 3.958723e+06 | 4.027887e+06 | 4.138012e+06 | 4.175950e+06 | 4.114826e+06 | 4.166664e+06 | 4.265762e+06 | 4.401365e+06 | 4.588599e+06 | 4.839396e+06 | 4.987573e+06 | 5.076732e+06 | 5.183688e+06 | 5.312437e+06 | 5.399162e+06 | 5.469724e+06 | 5.535002e+06 | 5.607283e+06 | 5.612253e+06 |
| 207 | 207 | Solomon Islands | SLB | Population, total | SP.POP.TOTL | 1.178660e+05 | 1.213960e+05 | 1.250640e+05 | 1.288660e+05 | 1.327820e+05 | 1.368470e+05 | 1.410260e+05 | 1.453510e+05 | 1.499210e+05 | 1.548750e+05 | 1.602900e+05 | 1.662120e+05 | 1.725980e+05 | 1.793490e+05 | 1.863320e+05 | 1.934450e+05 | 2.006400e+05 | 2.079370e+05 | 2.153470e+05 | 2.228970e+05 | 2.306070e+05 | 2.384790e+05 | 2.464930e+05 | 2.545960e+05 | 2.627090e+05 | 2.708010e+05 | 2.788380e+05 | 2.868630e+05 | 2.949640e+05 | 3.032530e+05 | 3.118400e+05 | 3.207530e+05 | 3.299530e+05 | 3.394560e+05 | 3.492250e+05 | 3.592250e+05 | 3.694690e+05 | 3.799470e+05 | 3.906430e+05 | 4.015380e+05 | 4.126090e+05 | 4.238530e+05 | 4.352620e+05 | 4.467690e+05 | 4.583240e+05 | 4.698850e+05 | 4.814220e+05 | 4.929400e+05 | 5.044770e+05 | 5.160790e+05 | 5.277900e+05 | 5.396140e+05 | 5.515310e+05 | 5.635130e+05 | 5.755040e+05 | 5.874820e+05 | 5.994190e+05 | 6.113430e+05 |
| 208 | 208 | Sierra Leone | SLE | Population, total | SP.POP.TOTL | 2.297110e+06 | 2.329204e+06 | 2.363013e+06 | 2.398414e+06 | 2.435204e+06 | 2.473294e+06 | 2.512652e+06 | 2.553529e+06 | 2.596568e+06 | 2.642608e+06 | 2.692259e+06 | 2.745779e+06 | 2.803031e+06 | 2.863739e+06 | 2.927468e+06 | 2.993876e+06 | 3.062956e+06 | 3.134800e+06 | 3.209263e+06 | 3.286179e+06 | 3.365441e+06 | 3.445277e+06 | 3.525399e+06 | 3.608751e+06 | 3.699467e+06 | 3.799550e+06 | 3.912438e+06 | 4.034668e+06 | 4.152984e+06 | 4.249468e+06 | 4.312246e+06 | 4.337239e+06 | 4.331332e+06 | 4.307299e+06 | 4.283621e+06 | 4.274819e+06 | 4.282350e+06 | 4.305455e+06 | 4.353646e+06 | 4.437803e+06 | 4.564297e+06 | 4.739147e+06 | 4.957216e+06 | 5.199549e+06 | 5.439695e+06 | 5.658379e+06 | 5.848692e+06 | 6.015417e+06 | 6.165372e+06 | 6.310260e+06 | 6.458720e+06 | 6.611692e+06 | 6.766103e+06 | 6.922079e+06 | 7.079162e+06 | 7.237025e+06 | 7.396190e+06 | 7.557212e+06 |
| 209 | 209 | El Salvador | SLV | Population, total | SP.POP.TOTL | 2.762899e+06 | 2.843240e+06 | 2.927857e+06 | 3.015887e+06 | 3.106186e+06 | 3.197863e+06 | 3.290411e+06 | 3.383701e+06 | 3.477742e+06 | 3.572707e+06 | 3.668595e+06 | 3.765166e+06 | 3.861931e+06 | 3.958323e+06 | 4.053713e+06 | 4.147525e+06 | 4.239675e+06 | 4.329964e+06 | 4.417516e+06 | 4.501316e+06 | 4.580704e+06 | 4.655364e+06 | 4.725720e+06 | 4.792903e+06 | 4.858532e+06 | 4.923860e+06 | 4.988943e+06 | 5.053714e+06 | 5.119035e+06 | 5.185943e+06 | 5.254984e+06 | 5.326657e+06 | 5.400331e+06 | 5.474000e+06 | 5.544945e+06 | 5.611115e+06 | 5.671925e+06 | 5.727755e+06 | 5.778706e+06 | 5.825187e+06 | 5.867626e+06 | 5.905962e+06 | 5.940303e+06 | 5.971535e+06 | 6.000775e+06 | 6.028961e+06 | 6.056478e+06 | 6.083475e+06 | 6.110301e+06 | 6.137276e+06 | 6.164626e+06 | 6.192560e+06 | 6.221246e+06 | 6.250777e+06 | 6.281189e+06 | 6.312478e+06 | 6.344722e+06 | 6.377853e+06 |
| 210 | 210 | San Marino | SMR | Population, total | SP.POP.TOTL | 1.539700e+04 | 1.578900e+04 | 1.619900e+04 | 1.662100e+04 | 1.703200e+04 | 1.744100e+04 | 1.783500e+04 | 1.822900e+04 | 1.858900e+04 | 1.889500e+04 | 1.913800e+04 | 1.930300e+04 | 1.939800e+04 | 1.946600e+04 | 1.956200e+04 | 1.973500e+04 | 1.998000e+04 | 2.029600e+04 | 2.066000e+04 | 2.103000e+04 | 2.136100e+04 | 2.166600e+04 | 2.194300e+04 | 2.221000e+04 | 2.245500e+04 | 2.270800e+04 | 2.296100e+04 | 2.321000e+04 | 2.346600e+04 | 2.374000e+04 | 2.404300e+04 | 2.438600e+04 | 2.474900e+04 | 2.514100e+04 | 2.551600e+04 | 2.587700e+04 | 2.620900e+04 | 2.650800e+04 | 2.679900e+04 | 2.709600e+04 | 2.741800e+04 | 2.776200e+04 | 2.812100e+04 | 2.849400e+04 | 2.886600e+04 | 2.924000e+04 | 2.961400e+04 | 2.997700e+04 | 3.035100e+04 | 3.072300e+04 | 3.111000e+04 | 3.150400e+04 | 3.191400e+04 | 3.230300e+04 | 3.265700e+04 | 3.296000e+04 | 3.320300e+04 | 3.340000e+04 |
| 211 | 211 | Somalia | SOM | Population, total | SP.POP.TOTL | 2.755947e+06 | 2.814096e+06 | 2.874190e+06 | 2.936443e+06 | 3.001126e+06 | 3.068437e+06 | 3.143836e+06 | 3.228495e+06 | 3.313786e+06 | 3.387632e+06 | 3.444553e+06 | 3.470324e+06 | 3.475022e+06 | 3.506008e+06 | 3.627504e+06 | 3.880320e+06 | 4.289469e+06 | 4.827362e+06 | 5.417740e+06 | 5.953615e+06 | 6.359126e+06 | 6.604872e+06 | 6.716448e+06 | 6.740220e+06 | 6.747932e+06 | 6.791716e+06 | 6.887372e+06 | 7.018109e+06 | 7.165295e+06 | 7.298417e+06 | 7.397347e+06 | 7.455936e+06 | 7.488544e+06 | 7.519811e+06 | 7.583954e+06 | 7.704894e+06 | 7.892389e+06 | 8.137475e+06 | 8.422372e+06 | 8.720231e+06 | 9.011479e+06 | 9.290823e+06 | 9.564167e+06 | 9.836397e+06 | 1.011623e+07 | 1.040992e+07 | 1.071832e+07 | 1.103860e+07 | 1.136928e+07 | 1.170799e+07 | 1.205322e+07 | 1.240472e+07 | 1.276378e+07 | 1.313235e+07 | 1.351312e+07 | 1.390813e+07 | 1.431800e+07 | 1.474252e+07 |
| 212 | 212 | Serbia | SRB | Population, total | SP.POP.TOTL | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 7.586000e+06 | 7.595636e+06 | 7.646424e+06 | 7.699307e+06 | 7.734639e+06 | 7.625357e+06 | 7.617794e+06 | 7.596501e+06 | 7.567745e+06 | 7.540401e+06 | 7.516346e+06 | 7.503433e+06 | 7.496522e+06 | 7.480591e+06 | 7.463157e+06 | 7.440769e+06 | 7.411569e+06 | 7.381579e+06 | 7.350222e+06 | 7.320807e+06 | 7.291436e+06 | 7.234099e+06 | 7.199077e+06 | 7.164132e+06 | 7.130576e+06 | 7.095383e+06 | 7.058322e+06 | 7.022268e+06 |
| 213 | 213 | Sub-Saharan Africa (excluding high income) | SSA | Population, total | SP.POP.TOTL | 2.285443e+08 | 2.339657e+08 | 2.396031e+08 | 2.454581e+08 | 2.515301e+08 | 2.578211e+08 | 2.643375e+08 | 2.710894e+08 | 2.780879e+08 | 2.853456e+08 | 2.928755e+08 | 3.006823e+08 | 3.087755e+08 | 3.171772e+08 | 3.259141e+08 | 3.350056e+08 | 3.444618e+08 | 3.542814e+08 | 3.644537e+08 | 3.749723e+08 | 3.858220e+08 | 3.970015e+08 | 4.085126e+08 | 4.203492e+08 | 4.325087e+08 | 4.449828e+08 | 4.577698e+08 | 4.708705e+08 | 4.842890e+08 | 4.980336e+08 | 5.121076e+08 | 5.265286e+08 | 5.412949e+08 | 5.563796e+08 | 5.717544e+08 | 5.873943e+08 | 6.033092e+08 | 6.195306e+08 | 6.361037e+08 | 6.530995e+08 | 6.705685e+08 | 6.885348e+08 | 7.070161e+08 | 7.260578e+08 | 7.457056e+08 | 7.659976e+08 | 7.869512e+08 | 8.085751e+08 | 8.308786e+08 | 8.538664e+08 | 8.775386e+08 | 9.019025e+08 | 9.269516e+08 | 9.526441e+08 | 9.789266e+08 | 1.005757e+09 | 1.033118e+09 | 1.061012e+09 |
| 214 | 214 | South Sudan | SSD | Population, total | SP.POP.TOTL | 2.955152e+06 | 3.011110e+06 | 3.069913e+06 | 3.131557e+06 | 3.196113e+06 | 3.263638e+06 | 3.334191e+06 | 3.407800e+06 | 3.484537e+06 | 3.564465e+06 | 3.647709e+06 | 3.734418e+06 | 3.824762e+06 | 3.918922e+06 | 4.017075e+06 | 4.119438e+06 | 4.224529e+06 | 4.332287e+06 | 4.445826e+06 | 4.569423e+06 | 4.705224e+06 | 4.853927e+06 | 5.011726e+06 | 5.170558e+06 | 5.319609e+06 | 5.450424e+06 | 5.565545e+06 | 5.666078e+06 | 5.741235e+06 | 5.777498e+06 | 5.768481e+06 | 5.705378e+06 | 5.599814e+06 | 5.490915e+06 | 5.431738e+06 | 5.459519e+06 | 5.591114e+06 | 5.814006e+06 | 6.099923e+06 | 6.405864e+06 | 6.700656e+06 | 6.974442e+06 | 7.237276e+06 | 7.501642e+06 | 7.787655e+06 | 8.108877e+06 | 8.468152e+06 | 8.856800e+06 | 9.263136e+06 | 9.670667e+06 | 1.006719e+07 | 1.044886e+07 | 1.081826e+07 | 1.117749e+07 | 1.153097e+07 | 1.188214e+07 | 1.223073e+07 | 1.257571e+07 |
| 215 | 215 | Sub-Saharan Africa | SSF | Population, total | SP.POP.TOTL | 2.285860e+08 | 2.340086e+08 | 2.396471e+08 | 2.455033e+08 | 2.515764e+08 | 2.578686e+08 | 2.643862e+08 | 2.711393e+08 | 2.781390e+08 | 2.853980e+08 | 2.929291e+08 | 3.007370e+08 | 3.088315e+08 | 3.172341e+08 | 3.259720e+08 | 3.350649e+08 | 3.445223e+08 | 3.543432e+08 | 3.645158e+08 | 3.750350e+08 | 3.858853e+08 | 3.970656e+08 | 4.085770e+08 | 4.204135e+08 | 4.325734e+08 | 4.450481e+08 | 4.578354e+08 | 4.709390e+08 | 4.843577e+08 | 4.981028e+08 | 5.121771e+08 | 5.265990e+08 | 5.413657e+08 | 5.564519e+08 | 5.718286e+08 | 5.874696e+08 | 6.033856e+08 | 6.196080e+08 | 6.361826e+08 | 6.531799e+08 | 6.706496e+08 | 6.886160e+08 | 7.070998e+08 | 7.261406e+08 | 7.457881e+08 | 7.660805e+08 | 7.870358e+08 | 8.086602e+08 | 8.309656e+08 | 8.539537e+08 | 8.776284e+08 | 9.019899e+08 | 9.270399e+08 | 9.527341e+08 | 9.790179e+08 | 1.005850e+09 | 1.033213e+09 | 1.061108e+09 |
| 216 | 216 | Small states | SST | Population, total | SP.POP.TOTL | 1.426044e+07 | 1.453822e+07 | 1.482127e+07 | 1.510765e+07 | 1.539771e+07 | 1.568825e+07 | 1.597654e+07 | 1.626370e+07 | 1.655600e+07 | 1.685398e+07 | 1.715959e+07 | 1.747636e+07 | 1.780013e+07 | 1.812704e+07 | 1.845608e+07 | 1.878904e+07 | 1.912033e+07 | 1.945389e+07 | 1.979478e+07 | 2.015773e+07 | 2.054726e+07 | 2.096386e+07 | 2.140791e+07 | 2.186555e+07 | 2.233126e+07 | 2.280617e+07 | 2.328588e+07 | 2.377049e+07 | 2.425166e+07 | 2.472623e+07 | 2.518692e+07 | 2.564238e+07 | 2.606619e+07 | 2.647146e+07 | 2.688100e+07 | 2.728410e+07 | 2.769162e+07 | 2.810760e+07 | 2.852815e+07 | 2.897606e+07 | 2.943428e+07 | 2.988705e+07 | 3.035230e+07 | 3.083883e+07 | 3.136592e+07 | 3.194739e+07 | 3.258690e+07 | 3.327825e+07 | 3.400639e+07 | 3.473979e+07 | 3.546524e+07 | 3.617193e+07 | 3.687502e+07 | 3.757201e+07 | 3.826616e+07 | 3.896041e+07 | 3.964685e+07 | 4.032450e+07 |
| 217 | 217 | Sao Tome and Principe | STP | Population, total | SP.POP.TOTL | 6.425300e+04 | 6.455100e+04 | 6.443200e+04 | 6.417700e+04 | 6.421200e+04 | 6.479600e+04 | 6.606300e+04 | 6.787300e+04 | 7.004600e+04 | 7.224100e+04 | 7.425300e+04 | 7.598800e+04 | 7.753700e+04 | 7.902200e+04 | 8.067000e+04 | 8.260700e+04 | 8.488500e+04 | 8.743400e+04 | 9.008900e+04 | 9.264900e+04 | 9.494900e+04 | 9.695000e+04 | 9.870600e+04 | 1.003180e+05 | 1.019150e+05 | 1.036340e+05 | 1.054740e+05 | 1.074150e+05 | 1.094700e+05 | 1.116270e+05 | 1.138930e+05 | 1.162940e+05 | 1.188160e+05 | 1.214070e+05 | 1.239730e+05 | 1.264540e+05 | 1.288210e+05 | 1.311070e+05 | 1.334180e+05 | 1.358860e+05 | 1.386060e+05 | 1.416220e+05 | 1.448890e+05 | 1.483720e+05 | 1.519690e+05 | 1.556300e+05 | 1.593280e+05 | 1.631010e+05 | 1.669130e+05 | 1.708130e+05 | 1.747760e+05 | 1.788000e+05 | 1.828890e+05 | 1.870450e+05 | 1.912660e+05 | 1.955530e+05 | 1.999100e+05 | 2.043270e+05 |
| 218 | 218 | Suriname | SUR | Population, total | SP.POP.TOTL | 2.899660e+05 | 2.981880e+05 | 3.063280e+05 | 3.145280e+05 | 3.229970e+05 | 3.317930e+05 | 3.411330e+05 | 3.507510e+05 | 3.597330e+05 | 3.668480e+05 | 3.712730e+05 | 3.726230e+05 | 3.713240e+05 | 3.683440e+05 | 3.650990e+05 | 3.626540e+05 | 3.613640e+05 | 3.610430e+05 | 3.614570e+05 | 3.621250e+05 | 3.627770e+05 | 3.633250e+05 | 3.640320e+05 | 3.653000e+05 | 3.676600e+05 | 3.714700e+05 | 3.768670e+05 | 3.836540e+05 | 3.913910e+05 | 3.994920e+05 | 4.074720e+05 | 4.152160e+05 | 4.227630e+05 | 4.300390e+05 | 4.370370e+05 | 4.437240e+05 | 4.500360e+05 | 4.559540e+05 | 4.615600e+05 | 4.670030e+05 | 4.723900e+05 | 4.777400e+05 | 4.830440e+05 | 4.883320e+05 | 4.936300e+05 | 4.989460e+05 | 5.043070e+05 | 5.097050e+05 | 5.151480e+05 | 5.206190e+05 | 5.261030e+05 | 5.315890e+05 | 5.370770e+05 | 5.425400e+05 | 5.479280e+05 | 5.532080e+05 | 5.583680e+05 | 5.634020e+05 |
| 219 | 219 | Slovak Republic | SVK | Population, total | SP.POP.TOTL | 4.068095e+06 | 4.191667e+06 | 4.238188e+06 | 4.282017e+06 | 4.327341e+06 | 4.370983e+06 | 4.411666e+06 | 4.449367e+06 | 4.483915e+06 | 4.518607e+06 | 4.538223e+06 | 4.557449e+06 | 4.596622e+06 | 4.641445e+06 | 4.689623e+06 | 4.739105e+06 | 4.789507e+06 | 4.840501e+06 | 4.890125e+06 | 4.938973e+06 | 4.979815e+06 | 5.016105e+06 | 5.055099e+06 | 5.091971e+06 | 5.127097e+06 | 5.161768e+06 | 5.193838e+06 | 5.222840e+06 | 5.250596e+06 | 5.275942e+06 | 5.299187e+06 | 5.303294e+06 | 5.305016e+06 | 5.325305e+06 | 5.346331e+06 | 5.361999e+06 | 5.373361e+06 | 5.383291e+06 | 5.390516e+06 | 5.396020e+06 | 5.388720e+06 | 5.378867e+06 | 5.376912e+06 | 5.373374e+06 | 5.372280e+06 | 5.372807e+06 | 5.373054e+06 | 5.374622e+06 | 5.379233e+06 | 5.386406e+06 | 5.391428e+06 | 5.398384e+06 | 5.407579e+06 | 5.413393e+06 | 5.418649e+06 | 5.423801e+06 | 5.430798e+06 | 5.439892e+06 |
| 220 | 220 | Slovenia | SVN | Population, total | SP.POP.TOTL | 1.584720e+06 | 1.594131e+06 | 1.603649e+06 | 1.616971e+06 | 1.632114e+06 | 1.649160e+06 | 1.669905e+06 | 1.689528e+06 | 1.704546e+06 | 1.713874e+06 | 1.724891e+06 | 1.738335e+06 | 1.752233e+06 | 1.766697e+06 | 1.776132e+06 | 1.793581e+06 | 1.820249e+06 | 1.842377e+06 | 1.862548e+06 | 1.882599e+06 | 1.901315e+06 | 1.906531e+06 | 1.910334e+06 | 1.922321e+06 | 1.932154e+06 | 1.941641e+06 | 1.965964e+06 | 1.989776e+06 | 1.995196e+06 | 1.996351e+06 | 1.998161e+06 | 1.999429e+06 | 1.996498e+06 | 1.991746e+06 | 1.989443e+06 | 1.989872e+06 | 1.988628e+06 | 1.985956e+06 | 1.981629e+06 | 1.983045e+06 | 1.988925e+06 | 1.992060e+06 | 1.994530e+06 | 1.995733e+06 | 1.997012e+06 | 2.000474e+06 | 2.006868e+06 | 2.018122e+06 | 2.021316e+06 | 2.039669e+06 | 2.048583e+06 | 2.052843e+06 | 2.057159e+06 | 2.059953e+06 | 2.061980e+06 | 2.063531e+06 | 2.065042e+06 | 2.066748e+06 |
| 221 | 221 | Sweden | SWE | Population, total | SP.POP.TOTL | 7.484656e+06 | 7.519998e+06 | 7.561588e+06 | 7.604328e+06 | 7.661354e+06 | 7.733853e+06 | 7.807797e+06 | 7.867931e+06 | 7.912273e+06 | 7.968072e+06 | 8.042801e+06 | 8.098334e+06 | 8.122300e+06 | 8.136312e+06 | 8.159955e+06 | 8.192437e+06 | 8.222286e+06 | 8.251540e+06 | 8.275599e+06 | 8.293678e+06 | 8.310531e+06 | 8.320503e+06 | 8.325263e+06 | 8.329033e+06 | 8.336605e+06 | 8.350386e+06 | 8.369829e+06 | 8.397804e+06 | 8.436489e+06 | 8.492964e+06 | 8.558835e+06 | 8.617375e+06 | 8.668067e+06 | 8.718561e+06 | 8.780745e+06 | 8.826939e+06 | 8.840998e+06 | 8.846062e+06 | 8.850974e+06 | 8.857874e+06 | 8.872109e+06 | 8.895960e+06 | 8.924958e+06 | 8.958229e+06 | 8.993531e+06 | 9.029572e+06 | 9.080505e+06 | 9.148092e+06 | 9.219637e+06 | 9.298515e+06 | 9.378126e+06 | 9.449213e+06 | 9.519374e+06 | 9.600379e+06 | 9.696110e+06 | 9.799186e+06 | 9.923085e+06 | 1.006774e+07 |
| 222 | 222 | Swaziland | SWZ | Population, total | SP.POP.TOTL | 3.491740e+05 | 3.574530e+05 | 3.656360e+05 | 3.738970e+05 | 3.824690e+05 | 3.915460e+05 | 4.011830e+05 | 4.113520e+05 | 4.221400e+05 | 4.335880e+05 | 4.457290e+05 | 4.586050e+05 | 4.722300e+05 | 4.865610e+05 | 5.015120e+05 | 5.170240e+05 | 5.332140e+05 | 5.501180e+05 | 5.675590e+05 | 5.853440e+05 | 6.033720e+05 | 6.212760e+05 | 6.392370e+05 | 6.583200e+05 | 6.799760e+05 | 7.050850e+05 | 7.342430e+05 | 7.667070e+05 | 8.004560e+05 | 8.326820e+05 | 8.613730e+05 | 8.856230e+05 | 9.060340e+05 | 9.240250e+05 | 9.417740e+05 | 9.607920e+05 | 9.817640e+05 | 1.003995e+06 | 1.026009e+06 | 1.045629e+06 | 1.061468e+06 | 1.072927e+06 | 1.080930e+06 | 1.087392e+06 | 1.095053e+06 | 1.105873e+06 | 1.120514e+06 | 1.138434e+06 | 1.158897e+06 | 1.180675e+06 | 1.202843e+06 | 1.225258e+06 | 1.248158e+06 | 1.271456e+06 | 1.295097e+06 | 1.319011e+06 | 1.343098e+06 | 1.367254e+06 |
| 223 | 223 | Sint Maarten (Dutch part) | SXM | Population, total | SP.POP.TOTL | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 3.124000e+04 | 3.108400e+04 | 3.051900e+04 | 3.060000e+04 | 3.077700e+04 | 3.147200e+04 | 3.248800e+04 | 3.301100e+04 | 3.344100e+04 | 3.381100e+04 | 3.396400e+04 | 3.423800e+04 | 3.405600e+04 | 3.343500e+04 | 3.464000e+04 | 3.660700e+04 | 3.768500e+04 | 3.882400e+04 | 3.996900e+04 | 4.110900e+04 |
| 224 | 224 | Seychelles | SYC | Population, total | SP.POP.TOTL | 4.170000e+04 | 4.288900e+04 | 4.404200e+04 | 4.517600e+04 | 4.632200e+04 | 4.750000e+04 | 4.869900e+04 | 4.991100e+04 | 5.113400e+04 | 5.236500e+04 | 5.360000e+04 | 5.469500e+04 | 5.602900e+04 | 5.689200e+04 | 5.793700e+04 | 5.929200e+04 | 6.050400e+04 | 6.178600e+04 | 6.215000e+04 | 6.268600e+04 | 6.326100e+04 | 6.403500e+04 | 6.441300e+04 | 6.433500e+04 | 6.471700e+04 | 6.524400e+04 | 6.565200e+04 | 6.849900e+04 | 6.875500e+04 | 6.916700e+04 | 6.950700e+04 | 7.043900e+04 | 7.076300e+04 | 7.225300e+04 | 7.420500e+04 | 7.530400e+04 | 7.641700e+04 | 7.731900e+04 | 7.884600e+04 | 8.041000e+04 | 8.113100e+04 | 8.120200e+04 | 8.372300e+04 | 8.278100e+04 | 8.247500e+04 | 8.285800e+04 | 8.460000e+04 | 8.503300e+04 | 8.695600e+04 | 8.729800e+04 | 8.977000e+04 | 8.744100e+04 | 8.830300e+04 | 8.994900e+04 | 9.135900e+04 | 9.341900e+04 | 9.467700e+04 | 9.584300e+04 |
| 225 | 225 | Syrian Arab Republic | SYR | Population, total | SP.POP.TOTL | 4.573512e+06 | 4.721896e+06 | 4.875422e+06 | 5.034646e+06 | 5.200336e+06 | 5.373137e+06 | 5.553246e+06 | 5.740710e+06 | 5.935860e+06 | 6.139048e+06 | 6.350541e+06 | 6.570857e+06 | 6.800141e+06 | 7.037851e+06 | 7.283177e+06 | 7.535714e+06 | 7.794662e+06 | 8.060649e+06 | 8.336418e+06 | 8.625690e+06 | 8.930774e+06 | 9.252851e+06 | 9.590227e+06 | 9.938847e+06 | 1.029305e+07 | 1.064863e+07 | 1.100427e+07 | 1.136085e+07 | 1.171907e+07 | 1.208044e+07 | 1.244617e+07 | 1.281522e+07 | 1.318708e+07 | 1.356417e+07 | 1.394970e+07 | 1.434549e+07 | 1.475529e+07 | 1.517746e+07 | 1.560221e+07 | 1.601609e+07 | 1.641085e+07 | 1.676690e+07 | 1.708790e+07 | 1.741527e+07 | 1.780664e+07 | 1.829461e+07 | 1.891498e+07 | 1.963281e+07 | 2.032544e+07 | 2.082489e+07 | 2.101883e+07 | 2.086399e+07 | 2.042070e+07 | 1.980914e+07 | 1.920309e+07 | 1.873499e+07 | 1.843045e+07 | 1.826987e+07 |
| 226 | 226 | Turks and Caicos Islands | TCA | Population, total | SP.POP.TOTL | 5.726000e+03 | 5.763000e+03 | 5.763000e+03 | 5.740000e+03 | 5.710000e+03 | 5.672000e+03 | 5.629000e+03 | 5.590000e+03 | 5.559000e+03 | 5.571000e+03 | 5.633000e+03 | 5.756000e+03 | 5.922000e+03 | 6.126000e+03 | 6.346000e+03 | 6.548000e+03 | 6.723000e+03 | 6.886000e+03 | 7.053000e+03 | 7.264000e+03 | 7.519000e+03 | 7.858000e+03 | 8.244000e+03 | 8.669000e+03 | 9.095000e+03 | 9.506000e+03 | 9.875000e+03 | 1.022400e+04 | 1.058200e+04 | 1.101700e+04 | 1.155200e+04 | 1.220600e+04 | 1.296800e+04 | 1.378900e+04 | 1.459700e+04 | 1.533200e+04 | 1.596600e+04 | 1.652800e+04 | 1.711500e+04 | 1.786400e+04 | 1.887300e+04 | 2.018500e+04 | 2.174200e+04 | 2.341000e+04 | 2.502800e+04 | 2.644800e+04 | 2.764200e+04 | 2.864000e+04 | 2.948100e+04 | 3.024500e+04 | 3.099400e+04 | 3.173100e+04 | 3.243100e+04 | 3.310800e+04 | 3.373900e+04 | 3.433900e+04 | 3.490000e+04 | 3.544600e+04 |
| 227 | 227 | Chad | TCD | Population, total | SP.POP.TOTL | 3.001593e+06 | 3.060355e+06 | 3.121216e+06 | 3.183551e+06 | 3.246505e+06 | 3.309573e+06 | 3.372170e+06 | 3.434811e+06 | 3.499352e+06 | 3.568376e+06 | 3.643549e+06 | 3.726091e+06 | 3.815103e+06 | 3.907632e+06 | 3.999512e+06 | 4.087948e+06 | 4.172230e+06 | 4.253989e+06 | 4.335645e+06 | 4.420716e+06 | 4.512042e+06 | 4.610167e+06 | 4.715197e+06 | 4.829094e+06 | 4.954046e+06 | 5.091535e+06 | 5.243006e+06 | 5.408087e+06 | 5.584339e+06 | 5.768086e+06 | 5.956859e+06 | 6.150081e+06 | 6.349089e+06 | 6.555603e+06 | 6.772133e+06 | 7.000722e+06 | 7.241134e+06 | 7.493251e+06 | 7.759258e+06 | 8.041846e+06 | 8.342559e+06 | 8.663012e+06 | 9.001689e+06 | 9.353201e+06 | 9.710043e+06 | 1.006701e+07 | 1.042160e+07 | 1.077571e+07 | 1.113386e+07 | 1.150279e+07 | 1.188720e+07 | 1.228865e+07 | 1.270514e+07 | 1.313359e+07 | 1.356944e+07 | 1.400941e+07 | 1.445254e+07 | 1.489999e+07 |
| 228 | 228 | East Asia & Pacific (IDA & IBRD countries) | TEA | Population, total | SP.POP.TOTL | 8.825218e+08 | 8.818609e+08 | 8.935633e+08 | 9.165642e+08 | 9.391832e+08 | 9.627654e+08 | 9.898738e+08 | 1.016050e+09 | 1.043167e+09 | 1.071971e+09 | 1.101679e+09 | 1.132025e+09 | 1.160630e+09 | 1.188295e+09 | 1.214467e+09 | 1.238240e+09 | 1.260191e+09 | 1.280580e+09 | 1.300959e+09 | 1.321650e+09 | 1.342001e+09 | 1.363066e+09 | 1.386478e+09 | 1.410013e+09 | 1.432476e+09 | 1.455657e+09 | 1.480374e+09 | 1.506584e+09 | 1.533102e+09 | 1.558955e+09 | 1.584202e+09 | 1.608360e+09 | 1.630963e+09 | 1.652721e+09 | 1.674319e+09 | 1.695484e+09 | 1.716273e+09 | 1.736829e+09 | 1.756647e+09 | 1.775314e+09 | 1.792989e+09 | 1.809863e+09 | 1.825997e+09 | 1.841494e+09 | 1.856578e+09 | 1.871548e+09 | 1.886076e+09 | 1.900088e+09 | 1.913992e+09 | 1.927810e+09 | 1.941605e+09 | 1.955547e+09 | 1.969763e+09 | 1.984153e+09 | 1.998686e+09 | 2.013133e+09 | 2.027896e+09 | 2.042783e+09 |
| 229 | 229 | Europe & Central Asia (IDA & IBRD countries) | TEC | Population, total | SP.POP.TOTL | 3.087254e+08 | 3.133810e+08 | 3.180703e+08 | 3.228323e+08 | 3.276025e+08 | 3.321858e+08 | 3.360372e+08 | 3.400269e+08 | 3.439308e+08 | 3.477105e+08 | 3.513639e+08 | 3.550184e+08 | 3.588178e+08 | 3.626250e+08 | 3.664685e+08 | 3.703454e+08 | 3.743810e+08 | 3.783353e+08 | 3.822158e+08 | 3.860706e+08 | 3.900682e+08 | 3.941324e+08 | 3.980332e+08 | 4.019226e+08 | 4.060459e+08 | 4.101513e+08 | 4.141865e+08 | 4.181647e+08 | 4.219711e+08 | 4.255889e+08 | 4.283182e+08 | 4.301533e+08 | 4.318447e+08 | 4.333670e+08 | 4.341112e+08 | 4.346486e+08 | 4.349095e+08 | 4.354226e+08 | 4.356625e+08 | 4.357322e+08 | 4.353426e+08 | 4.351342e+08 | 4.348047e+08 | 4.349250e+08 | 4.352472e+08 | 4.356349e+08 | 4.361526e+08 | 4.368143e+08 | 4.378649e+08 | 4.396247e+08 | 4.415138e+08 | 4.435858e+08 | 4.457704e+08 | 4.481671e+08 | 4.505217e+08 | 4.529608e+08 | 4.553794e+08 | 4.576477e+08 |
| 230 | 230 | Togo | TGO | Population, total | SP.POP.TOTL | 1.580513e+06 | 1.597526e+06 | 1.612755e+06 | 1.631764e+06 | 1.662073e+06 | 1.708630e+06 | 1.774029e+06 | 1.855442e+06 | 1.945780e+06 | 2.034907e+06 | 2.115522e+06 | 2.185662e+06 | 2.247582e+06 | 2.303345e+06 | 2.356622e+06 | 2.410446e+06 | 2.464455e+06 | 2.518566e+06 | 2.576469e+06 | 2.642846e+06 | 2.720839e+06 | 2.812039e+06 | 2.915066e+06 | 3.026238e+06 | 3.140237e+06 | 3.252994e+06 | 3.364020e+06 | 3.474080e+06 | 3.581928e+06 | 3.686373e+06 | 3.786940e+06 | 3.882271e+06 | 3.973327e+06 | 4.064926e+06 | 4.163642e+06 | 4.274024e+06 | 4.398238e+06 | 4.534551e+06 | 4.679023e+06 | 4.825704e+06 | 4.970367e+06 | 5.111770e+06 | 5.251472e+06 | 5.391401e+06 | 5.534598e+06 | 5.683268e+06 | 5.837792e+06 | 5.997385e+06 | 6.161796e+06 | 6.330472e+06 | 6.502952e+06 | 6.679282e+06 | 6.859482e+06 | 7.042948e+06 | 7.228915e+06 | 7.416802e+06 | 7.606374e+06 | 7.797694e+06 |
| 231 | 231 | Thailand | THA | Population, total | SP.POP.TOTL | 2.739718e+07 | 2.822420e+07 | 2.908103e+07 | 2.996704e+07 | 3.088133e+07 | 3.182280e+07 | 3.278910e+07 | 3.377850e+07 | 3.479094e+07 | 3.582680e+07 | 3.688491e+07 | 3.796492e+07 | 3.906199e+07 | 4.016497e+07 | 4.125954e+07 | 4.233495e+07 | 4.338684e+07 | 4.441601e+07 | 4.542344e+07 | 4.641231e+07 | 4.738532e+07 | 4.833750e+07 | 4.926756e+07 | 5.018620e+07 | 5.110808e+07 | 5.204147e+07 | 5.299647e+07 | 5.396441e+07 | 5.491233e+07 | 5.579511e+07 | 5.658282e+07 | 5.725840e+07 | 5.783788e+07 | 5.836489e+07 | 5.890167e+07 | 5.949179e+07 | 6.015147e+07 | 6.086351e+07 | 6.159728e+07 | 6.230665e+07 | 6.295802e+07 | 6.354332e+07 | 6.407316e+07 | 6.455495e+07 | 6.500223e+07 | 6.542547e+07 | 6.582416e+07 | 6.619562e+07 | 6.654576e+07 | 6.688187e+07 | 6.720881e+07 | 6.753013e+07 | 6.784398e+07 | 6.814306e+07 | 6.841677e+07 | 6.865760e+07 | 6.886351e+07 | 6.903751e+07 |
| 232 | 232 | Tajikistan | TJK | Population, total | SP.POP.TOTL | 2.087038e+06 | 2.159123e+06 | 2.236559e+06 | 2.318234e+06 | 2.402455e+06 | 2.487953e+06 | 2.574478e+06 | 2.662230e+06 | 2.750894e+06 | 2.840228e+06 | 2.930079e+06 | 3.020391e+06 | 3.111264e+06 | 3.203019e+06 | 3.296095e+06 | 3.390935e+06 | 3.487644e+06 | 3.586499e+06 | 3.688385e+06 | 3.794420e+06 | 3.905413e+06 | 4.020778e+06 | 4.140258e+06 | 4.265247e+06 | 4.397525e+06 | 4.537789e+06 | 4.687283e+06 | 4.843951e+06 | 5.001110e+06 | 5.149803e+06 | 5.283728e+06 | 5.400714e+06 | 5.502976e+06 | 5.594114e+06 | 5.679832e+06 | 5.764712e+06 | 5.849540e+06 | 5.934282e+06 | 6.021691e+06 | 6.114886e+06 | 6.216205e+06 | 6.327125e+06 | 6.447688e+06 | 6.576877e+06 | 6.712841e+06 | 6.854176e+06 | 7.000557e+06 | 7.152385e+06 | 7.309728e+06 | 7.472819e+06 | 7.641630e+06 | 7.815949e+06 | 7.995062e+06 | 8.177809e+06 | 8.362745e+06 | 8.548651e+06 | 8.734951e+06 | 8.921343e+06 |
| 233 | 233 | Turkmenistan | TKM | Population, total | SP.POP.TOTL | 1.603258e+06 | 1.658362e+06 | 1.715408e+06 | 1.773853e+06 | 1.833063e+06 | 1.892599e+06 | 1.952141e+06 | 2.011763e+06 | 2.071789e+06 | 2.132799e+06 | 2.195173e+06 | 2.258964e+06 | 2.324013e+06 | 2.390213e+06 | 2.457382e+06 | 2.525361e+06 | 2.594311e+06 | 2.664257e+06 | 2.734896e+06 | 2.805818e+06 | 2.876808e+06 | 2.947779e+06 | 3.019066e+06 | 3.091511e+06 | 3.166221e+06 | 3.244018e+06 | 3.324456e+06 | 3.407319e+06 | 3.493894e+06 | 3.585867e+06 | 3.683966e+06 | 3.789185e+06 | 3.899843e+06 | 4.010789e+06 | 4.115099e+06 | 4.207840e+06 | 4.287344e+06 | 4.355114e+06 | 4.413477e+06 | 4.466132e+06 | 4.516131e+06 | 4.564080e+06 | 4.610002e+06 | 4.655741e+06 | 4.703398e+06 | 4.754641e+06 | 4.810105e+06 | 4.870137e+06 | 4.935762e+06 | 5.007950e+06 | 5.087210e+06 | 5.174061e+06 | 5.267839e+06 | 5.366277e+06 | 5.466241e+06 | 5.565284e+06 | 5.662544e+06 | 5.758075e+06 |
| 234 | 234 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | Population, total | SP.POP.TOTL | 2.103576e+08 | 2.162859e+08 | 2.223965e+08 | 2.286630e+08 | 2.350485e+08 | 2.415251e+08 | 2.480822e+08 | 2.547238e+08 | 2.614547e+08 | 2.682854e+08 | 2.752228e+08 | 2.822654e+08 | 2.894068e+08 | 2.966433e+08 | 3.039702e+08 | 3.113836e+08 | 3.188764e+08 | 3.264460e+08 | 3.340992e+08 | 3.418457e+08 | 3.496894e+08 | 3.576329e+08 | 3.656630e+08 | 3.737476e+08 | 3.818444e+08 | 3.899222e+08 | 3.979615e+08 | 4.059664e+08 | 4.139572e+08 | 4.219663e+08 | 4.300141e+08 | 4.381025e+08 | 4.462115e+08 | 4.543128e+08 | 4.623683e+08 | 4.703475e+08 | 4.782471e+08 | 4.860670e+08 | 4.937853e+08 | 5.013765e+08 | 5.088267e+08 | 5.161201e+08 | 5.232708e+08 | 5.303320e+08 | 5.373774e+08 | 5.444598e+08 | 5.515955e+08 | 5.587681e+08 | 5.659562e+08 | 5.731253e+08 | 5.802468e+08 | 5.873151e+08 | 5.943307e+08 | 6.012772e+08 | 6.081360e+08 | 6.148920e+08 | 6.215349e+08 | 6.280598e+08 |
| 235 | 235 | Timor-Leste | TLS | Population, total | SP.POP.TOTL | 4.999500e+05 | 5.088450e+05 | 5.181070e+05 | 5.277490e+05 | 5.377860e+05 | 5.482180e+05 | 5.586760e+05 | 5.690310e+05 | 5.798070e+05 | 5.917390e+05 | 6.051250e+05 | 6.209450e+05 | 6.384990e+05 | 6.544370e+05 | 6.642230e+05 | 6.649840e+05 | 6.549470e+05 | 6.360960e+05 | 6.138570e+05 | 5.958720e+05 | 5.875630e+05 | 5.910050e+05 | 6.044300e+05 | 6.246480e+05 | 6.466880e+05 | 6.669450e+05 | 6.841840e+05 | 6.995220e+05 | 7.144740e+05 | 7.314440e+05 | 7.519330e+05 | 7.770110e+05 | 8.054350e+05 | 8.336110e+05 | 8.566840e+05 | 8.714470e+05 | 8.759160e+05 | 8.719940e+05 | 8.651940e+05 | 8.632690e+05 | 8.716070e+05 | 8.925310e+05 | 9.238250e+05 | 9.608520e+05 | 9.966980e+05 | 1.026484e+06 | 1.048621e+06 | 1.064973e+06 | 1.078110e+06 | 1.092021e+06 | 1.109591e+06 | 1.131523e+06 | 1.156760e+06 | 1.184366e+06 | 1.212814e+06 | 1.240977e+06 | 1.268671e+06 | 1.296311e+06 |
| 236 | 236 | Middle East & North Africa (IDA & IBRD countries) | TMN | Population, total | SP.POP.TOTL | 9.783777e+07 | 1.004585e+08 | 1.031472e+08 | 1.059144e+08 | 1.087749e+08 | 1.117382e+08 | 1.148161e+08 | 1.180041e+08 | 1.212763e+08 | 1.245964e+08 | 1.279425e+08 | 1.313096e+08 | 1.347195e+08 | 1.382111e+08 | 1.418378e+08 | 1.456425e+08 | 1.496290e+08 | 1.537983e+08 | 1.581851e+08 | 1.628299e+08 | 1.677559e+08 | 1.729675e+08 | 1.784403e+08 | 1.841298e+08 | 1.899742e+08 | 1.959177e+08 | 2.019504e+08 | 2.080513e+08 | 2.141407e+08 | 2.201218e+08 | 2.259256e+08 | 2.315134e+08 | 2.368991e+08 | 2.421328e+08 | 2.472944e+08 | 2.524436e+08 | 2.576021e+08 | 2.627574e+08 | 2.678957e+08 | 2.729916e+08 | 2.780331e+08 | 2.830183e+08 | 2.879756e+08 | 2.929596e+08 | 2.980417e+08 | 3.032748e+08 | 3.086730e+08 | 3.142267e+08 | 3.199345e+08 | 3.257867e+08 | 3.317705e+08 | 3.378950e+08 | 3.441488e+08 | 3.504715e+08 | 3.567833e+08 | 3.630272e+08 | 3.691675e+08 | 3.752170e+08 |
| 237 | 237 | Tonga | TON | Population, total | SP.POP.TOTL | 6.160100e+04 | 6.374500e+04 | 6.625900e+04 | 6.900500e+04 | 7.175700e+04 | 7.436200e+04 | 7.677900e+04 | 7.905200e+04 | 8.109700e+04 | 8.287700e+04 | 8.436900e+04 | 8.551800e+04 | 8.634700e+04 | 8.698800e+04 | 8.760900e+04 | 8.834800e+04 | 8.925400e+04 | 9.029500e+04 | 9.136400e+04 | 9.230000e+04 | 9.300700e+04 | 9.345300e+04 | 9.368100e+04 | 9.377400e+04 | 9.384200e+04 | 9.395300e+04 | 9.414500e+04 | 9.438400e+04 | 9.466700e+04 | 9.492900e+04 | 9.515300e+04 | 9.533300e+04 | 9.549600e+04 | 9.564400e+04 | 9.583300e+04 | 9.607600e+04 | 9.636900e+04 | 9.672500e+04 | 9.713500e+04 | 9.759100e+04 | 9.808200e+04 | 9.861100e+04 | 9.918400e+04 | 9.978900e+04 | 1.004060e+05 | 1.010410e+05 | 1.016890e+05 | 1.023570e+05 | 1.030050e+05 | 1.036040e+05 | 1.041370e+05 | 1.045770e+05 | 1.049510e+05 | 1.053280e+05 | 1.057820e+05 | 1.063640e+05 | 1.071220e+05 | 1.080200e+05 |
| 238 | 238 | South Asia (IDA & IBRD) | TSA | Population, total | SP.POP.TOTL | 5.718357e+08 | 5.838941e+08 | 5.964139e+08 | 6.093918e+08 | 6.228226e+08 | 6.367018e+08 | 6.510364e+08 | 6.658267e+08 | 6.810549e+08 | 6.966972e+08 | 7.127409e+08 | 7.291736e+08 | 7.460124e+08 | 7.633106e+08 | 7.811406e+08 | 7.995533e+08 | 8.185604e+08 | 8.381423e+08 | 8.582779e+08 | 8.789330e+08 | 9.000765e+08 | 9.216969e+08 | 9.437816e+08 | 9.662936e+08 | 9.891890e+08 | 1.012430e+09 | 1.035983e+09 | 1.059829e+09 | 1.083963e+09 | 1.108386e+09 | 1.133089e+09 | 1.158058e+09 | 1.183254e+09 | 1.208613e+09 | 1.234059e+09 | 1.259531e+09 | 1.284978e+09 | 1.310388e+09 | 1.335778e+09 | 1.361185e+09 | 1.386626e+09 | 1.412104e+09 | 1.437568e+09 | 1.462907e+09 | 1.487975e+09 | 1.512671e+09 | 1.536944e+09 | 1.560819e+09 | 1.584359e+09 | 1.607664e+09 | 1.630807e+09 | 1.653799e+09 | 1.676615e+09 | 1.699310e+09 | 1.721848e+09 | 1.744200e+09 | 1.766394e+09 | 1.788389e+09 |
| 239 | 239 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | Population, total | SP.POP.TOTL | 2.285860e+08 | 2.340086e+08 | 2.396471e+08 | 2.455033e+08 | 2.515764e+08 | 2.578686e+08 | 2.643862e+08 | 2.711393e+08 | 2.781390e+08 | 2.853980e+08 | 2.929291e+08 | 3.007370e+08 | 3.088315e+08 | 3.172341e+08 | 3.259720e+08 | 3.350649e+08 | 3.445223e+08 | 3.543432e+08 | 3.645158e+08 | 3.750350e+08 | 3.858853e+08 | 3.970656e+08 | 4.085770e+08 | 4.204135e+08 | 4.325734e+08 | 4.450481e+08 | 4.578354e+08 | 4.709390e+08 | 4.843577e+08 | 4.981028e+08 | 5.121771e+08 | 5.265990e+08 | 5.413657e+08 | 5.564519e+08 | 5.718286e+08 | 5.874696e+08 | 6.033856e+08 | 6.196080e+08 | 6.361826e+08 | 6.531799e+08 | 6.706496e+08 | 6.886160e+08 | 7.070998e+08 | 7.261406e+08 | 7.457881e+08 | 7.660805e+08 | 7.870358e+08 | 8.086602e+08 | 8.309656e+08 | 8.539537e+08 | 8.776284e+08 | 9.019899e+08 | 9.270399e+08 | 9.527341e+08 | 9.790179e+08 | 1.005850e+09 | 1.033213e+09 | 1.061108e+09 |
| 240 | 240 | Trinidad and Tobago | TTO | Population, total | SP.POP.TOTL | 8.484790e+05 | 8.653600e+05 | 8.800230e+05 | 8.925690e+05 | 9.032750e+05 | 9.124170e+05 | 9.199030e+05 | 9.259090e+05 | 9.314680e+05 | 9.378480e+05 | 9.459930e+05 | 9.563660e+05 | 9.687410e+05 | 9.825920e+05 | 9.970530e+05 | 1.011490e+06 | 1.025658e+06 | 1.039761e+06 | 1.054116e+06 | 1.069202e+06 | 1.085308e+06 | 1.102556e+06 | 1.120611e+06 | 1.138676e+06 | 1.155695e+06 | 1.170928e+06 | 1.184051e+06 | 1.195247e+06 | 1.204893e+06 | 1.213624e+06 | 1.221900e+06 | 1.229907e+06 | 1.237487e+06 | 1.244407e+06 | 1.250318e+06 | 1.255001e+06 | 1.258364e+06 | 1.260678e+06 | 1.262542e+06 | 1.264775e+06 | 1.267984e+06 | 1.272380e+06 | 1.277837e+06 | 1.284052e+06 | 1.290535e+06 | 1.296934e+06 | 1.303144e+06 | 1.309260e+06 | 1.315372e+06 | 1.321618e+06 | 1.328100e+06 | 1.334788e+06 | 1.341588e+06 | 1.348248e+06 | 1.354493e+06 | 1.360092e+06 | 1.364962e+06 | 1.369125e+06 |
| 241 | 241 | Tunisia | TUN | Population, total | SP.POP.TOTL | 4.176266e+06 | 4.235937e+06 | 4.303131e+06 | 4.377637e+06 | 4.458611e+06 | 4.545339e+06 | 4.638275e+06 | 4.737627e+06 | 4.842167e+06 | 4.950153e+06 | 5.060397e+06 | 5.172691e+06 | 5.287543e+06 | 5.405355e+06 | 5.526764e+06 | 5.652476e+06 | 5.781796e+06 | 5.915006e+06 | 6.054911e+06 | 6.205212e+06 | 6.368167e+06 | 6.545024e+06 | 6.733961e+06 | 6.930387e+06 | 7.127941e+06 | 7.321876e+06 | 7.509756e+06 | 7.692254e+06 | 7.871459e+06 | 8.050932e+06 | 8.232797e+06 | 8.417684e+06 | 8.603225e+06 | 8.784888e+06 | 8.956596e+06 | 9.113975e+06 | 9.256037e+06 | 9.384152e+06 | 9.499395e+06 | 9.603742e+06 | 9.699197e+06 | 9.785701e+06 | 9.864326e+06 | 9.939678e+06 | 1.001760e+07 | 1.010248e+07 | 1.019614e+07 | 1.029809e+07 | 1.040734e+07 | 1.052183e+07 | 1.063993e+07 | 1.076147e+07 | 1.088667e+07 | 1.101456e+07 | 1.114391e+07 | 1.127366e+07 | 1.140325e+07 | 1.153213e+07 |
| 242 | 242 | Turkey | TUR | Population, total | SP.POP.TOTL | 2.747233e+07 | 2.814689e+07 | 2.883280e+07 | 2.953134e+07 | 3.024423e+07 | 3.097296e+07 | 3.171748e+07 | 3.247796e+07 | 3.325643e+07 | 3.405536e+07 | 3.487627e+07 | 3.572057e+07 | 3.658722e+07 | 3.747230e+07 | 3.837024e+07 | 3.927721e+07 | 4.018951e+07 | 4.110825e+07 | 4.203994e+07 | 4.299399e+07 | 4.397592e+07 | 4.498836e+07 | 4.602536e+07 | 4.707342e+07 | 4.811410e+07 | 4.913388e+07 | 5.012849e+07 | 5.110088e+07 | 5.205370e+07 | 5.299243e+07 | 5.392170e+07 | 5.484053e+07 | 5.574888e+07 | 5.665373e+07 | 5.756413e+07 | 5.848638e+07 | 5.942321e+07 | 6.037250e+07 | 6.132959e+07 | 6.228733e+07 | 6.324012e+07 | 6.419147e+07 | 6.514305e+07 | 6.608580e+07 | 6.700786e+07 | 6.790341e+07 | 6.876340e+07 | 6.959728e+07 | 7.044003e+07 | 7.133918e+07 | 7.232691e+07 | 7.340946e+07 | 7.456987e+07 | 7.578733e+07 | 7.703063e+07 | 7.827147e+07 | 7.951243e+07 | 8.074502e+07 |
| 243 | 243 | Tuvalu | TUV | Population, total | SP.POP.TOTL | 6.104000e+03 | 6.246000e+03 | 6.389000e+03 | 6.538000e+03 | 6.684000e+03 | 6.815000e+03 | 6.938000e+03 | 7.040000e+03 | 7.133000e+03 | 7.214000e+03 | 7.303000e+03 | 7.381000e+03 | 7.458000e+03 | 7.537000e+03 | 7.616000e+03 | 7.677000e+03 | 7.749000e+03 | 7.816000e+03 | 7.888000e+03 | 7.962000e+03 | 8.052000e+03 | 8.154000e+03 | 8.284000e+03 | 8.413000e+03 | 8.530000e+03 | 8.650000e+03 | 8.747000e+03 | 8.820000e+03 | 8.883000e+03 | 8.947000e+03 | 9.003000e+03 | 9.053000e+03 | 9.109000e+03 | 9.156000e+03 | 9.190000e+03 | 9.230000e+03 | 9.256000e+03 | 9.277000e+03 | 9.306000e+03 | 9.345000e+03 | 9.420000e+03 | 9.512000e+03 | 9.635000e+03 | 9.767000e+03 | 9.894000e+03 | 1.002700e+04 | 1.013700e+04 | 1.024300e+04 | 1.034000e+04 | 1.044100e+04 | 1.053100e+04 | 1.062800e+04 | 1.072500e+04 | 1.081900e+04 | 1.090800e+04 | 1.100100e+04 | 1.109700e+04 | 1.119200e+04 |
| 244 | 244 | Tanzania | TZA | Population, total | SP.POP.TOTL | 1.007451e+07 | 1.037340e+07 | 1.068391e+07 | 1.100590e+07 | 1.133910e+07 | 1.168353e+07 | 1.203890e+07 | 1.240604e+07 | 1.278749e+07 | 1.318656e+07 | 1.360553e+07 | 1.404582e+07 | 1.450662e+07 | 1.498513e+07 | 1.547729e+07 | 1.598030e+07 | 1.649330e+07 | 1.701767e+07 | 1.755549e+07 | 1.810988e+07 | 1.868316e+07 | 1.927711e+07 | 1.989155e+07 | 2.052467e+07 | 2.117360e+07 | 2.183700e+07 | 2.251124e+07 | 2.319853e+07 | 2.390995e+07 | 2.466058e+07 | 2.545960e+07 | 2.631501e+07 | 2.721962e+07 | 2.814933e+07 | 2.907062e+07 | 2.996078e+07 | 3.081185e+07 | 3.163525e+07 | 3.245171e+07 | 3.329154e+07 | 3.417804e+07 | 3.511702e+07 | 3.610581e+07 | 3.714907e+07 | 3.824998e+07 | 3.941054e+07 | 4.063495e+07 | 4.192372e+07 | 4.327014e+07 | 4.466423e+07 | 4.609859e+07 | 4.757090e+07 | 4.908300e+07 | 5.063660e+07 | 5.223487e+07 | 5.387996e+07 | 5.557220e+07 | 5.731002e+07 |
| 245 | 245 | Uganda | UGA | Population, total | SP.POP.TOTL | 6.788214e+06 | 7.006633e+06 | 7.240174e+06 | 7.487429e+06 | 7.746198e+06 | 8.014401e+06 | 8.292776e+06 | 8.580676e+06 | 8.872920e+06 | 9.162833e+06 | 9.446064e+06 | 9.720399e+06 | 9.988380e+06 | 1.025643e+07 | 1.053372e+07 | 1.082715e+07 | 1.113983e+07 | 1.147087e+07 | 1.181831e+07 | 1.217854e+07 | 1.254954e+07 | 1.293021e+07 | 1.332333e+07 | 1.373527e+07 | 1.417447e+07 | 1.464662e+07 | 1.515452e+07 | 1.569541e+07 | 1.626253e+07 | 1.684609e+07 | 1.743891e+07 | 1.804044e+07 | 1.865289e+07 | 1.927542e+07 | 1.990763e+07 | 2.055029e+07 | 2.120212e+07 | 2.186593e+07 | 2.255179e+07 | 2.327300e+07 | 2.403927e+07 | 2.485489e+07 | 2.571805e+07 | 2.662482e+07 | 2.756844e+07 | 2.854394e+07 | 2.955066e+07 | 3.059049e+07 | 3.166390e+07 | 3.277190e+07 | 3.391513e+07 | 3.509365e+07 | 3.630680e+07 | 3.755373e+07 | 3.883334e+07 | 4.014487e+07 | 4.148796e+07 | 4.286296e+07 |
| 246 | 246 | Ukraine | UKR | Population, total | SP.POP.TOTL | 4.266215e+07 | 4.320364e+07 | 4.374947e+07 | 4.428590e+07 | 4.479433e+07 | 4.526194e+07 | 4.568231e+07 | 4.606045e+07 | 4.640900e+07 | 4.674667e+07 | 4.708676e+07 | 4.743380e+07 | 4.778301e+07 | 4.812717e+07 | 4.845512e+07 | 4.875899e+07 | 4.903646e+07 | 4.929090e+07 | 4.952688e+07 | 4.975126e+07 | 4.996881e+07 | 5.022100e+07 | 5.038400e+07 | 5.056400e+07 | 5.075400e+07 | 5.091700e+07 | 5.109700e+07 | 5.129300e+07 | 5.152100e+07 | 5.177300e+07 | 5.189200e+07 | 5.200047e+07 | 5.215027e+07 | 5.217921e+07 | 5.192104e+07 | 5.151230e+07 | 5.105719e+07 | 5.059410e+07 | 5.014394e+07 | 4.967335e+07 | 4.917585e+07 | 4.868386e+07 | 4.820250e+07 | 4.781295e+07 | 4.745160e+07 | 4.710515e+07 | 4.678775e+07 | 4.650935e+07 | 4.625820e+07 | 4.605330e+07 | 4.587070e+07 | 4.570610e+07 | 4.559330e+07 | 4.548960e+07 | 4.527195e+07 | 4.515403e+07 | 4.500464e+07 | 4.483116e+07 |
| 247 | 247 | Upper middle income | UMC | Population, total | SP.POP.TOTL | 1.150569e+09 | 1.154967e+09 | 1.171821e+09 | 1.200060e+09 | 1.227974e+09 | 1.256856e+09 | 1.288678e+09 | 1.319720e+09 | 1.351688e+09 | 1.385328e+09 | 1.419934e+09 | 1.455203e+09 | 1.488762e+09 | 1.521452e+09 | 1.552810e+09 | 1.581988e+09 | 1.609704e+09 | 1.635986e+09 | 1.662349e+09 | 1.689045e+09 | 1.715481e+09 | 1.742621e+09 | 1.771982e+09 | 1.801397e+09 | 1.829978e+09 | 1.859330e+09 | 1.890186e+09 | 1.922510e+09 | 1.954965e+09 | 1.986535e+09 | 2.016621e+09 | 2.045005e+09 | 2.071319e+09 | 2.096571e+09 | 2.121534e+09 | 2.146162e+09 | 2.170439e+09 | 2.194550e+09 | 2.217937e+09 | 2.240000e+09 | 2.260806e+09 | 2.280191e+09 | 2.298542e+09 | 2.316548e+09 | 2.334314e+09 | 2.352105e+09 | 2.369651e+09 | 2.386825e+09 | 2.404283e+09 | 2.422394e+09 | 2.440543e+09 | 2.459176e+09 | 2.478492e+09 | 2.498184e+09 | 2.517980e+09 | 2.537437e+09 | 2.556922e+09 | 2.576203e+09 |
| 248 | 248 | Uruguay | URY | Population, total | SP.POP.TOTL | 2.538651e+06 | 2.571690e+06 | 2.603887e+06 | 2.635129e+06 | 2.665390e+06 | 2.694537e+06 | 2.722877e+06 | 2.750093e+06 | 2.774774e+06 | 2.795046e+06 | 2.809803e+06 | 2.818270e+06 | 2.821439e+06 | 2.822081e+06 | 2.824069e+06 | 2.830172e+06 | 2.841429e+06 | 2.857105e+06 | 2.875966e+06 | 2.896023e+06 | 2.915778e+06 | 2.935036e+06 | 2.954282e+06 | 2.973463e+06 | 2.992645e+06 | 3.011908e+06 | 3.031038e+06 | 3.049966e+06 | 3.069099e+06 | 3.088984e+06 | 3.109989e+06 | 3.132050e+06 | 3.154855e+06 | 3.178155e+06 | 3.201607e+06 | 3.224804e+06 | 3.248035e+06 | 3.271010e+06 | 3.292138e+06 | 3.309318e+06 | 3.321245e+06 | 3.327103e+06 | 3.327773e+06 | 3.325637e+06 | 3.324096e+06 | 3.325612e+06 | 3.331043e+06 | 3.339741e+06 | 3.350824e+06 | 3.362755e+06 | 3.374415e+06 | 3.385624e+06 | 3.396777e+06 | 3.408005e+06 | 3.419546e+06 | 3.431552e+06 | 3.444006e+06 | 3.456750e+06 |
| 249 | 249 | United States | USA | Population, total | SP.POP.TOTL | 1.806710e+08 | 1.836910e+08 | 1.865380e+08 | 1.892420e+08 | 1.918890e+08 | 1.943030e+08 | 1.965600e+08 | 1.987120e+08 | 2.007060e+08 | 2.026770e+08 | 2.050520e+08 | 2.076610e+08 | 2.098960e+08 | 2.119090e+08 | 2.138540e+08 | 2.159730e+08 | 2.180350e+08 | 2.202390e+08 | 2.225850e+08 | 2.250550e+08 | 2.272250e+08 | 2.294660e+08 | 2.316640e+08 | 2.337920e+08 | 2.358250e+08 | 2.379240e+08 | 2.401330e+08 | 2.422890e+08 | 2.444990e+08 | 2.468190e+08 | 2.496230e+08 | 2.529810e+08 | 2.565140e+08 | 2.599190e+08 | 2.631260e+08 | 2.662780e+08 | 2.693940e+08 | 2.726570e+08 | 2.758540e+08 | 2.790400e+08 | 2.821624e+08 | 2.849690e+08 | 2.876252e+08 | 2.901079e+08 | 2.928053e+08 | 2.955166e+08 | 2.983799e+08 | 3.012312e+08 | 3.040940e+08 | 3.067715e+08 | 3.093384e+08 | 3.116443e+08 | 3.139933e+08 | 3.162345e+08 | 3.186225e+08 | 3.210398e+08 | 3.234059e+08 | 3.257192e+08 |
| 250 | 250 | Uzbekistan | UZB | Population, total | SP.POP.TOTL | 8.549493e+06 | 8.837349e+06 | 9.138097e+06 | 9.454250e+06 | 9.788986e+06 | 1.014374e+07 | 1.052088e+07 | 1.091745e+07 | 1.132310e+07 | 1.172385e+07 | 1.211003e+07 | 1.247706e+07 | 1.282862e+07 | 1.317359e+07 | 1.352509e+07 | 1.389264e+07 | 1.427912e+07 | 1.468146e+07 | 1.509601e+07 | 1.551686e+07 | 1.593974e+07 | 1.636356e+07 | 1.679007e+07 | 1.722121e+07 | 1.765998e+07 | 1.810830e+07 | 1.856548e+07 | 1.902988e+07 | 1.950122e+07 | 1.997913e+07 | 2.051000e+07 | 2.095200e+07 | 2.144900e+07 | 2.194200e+07 | 2.237700e+07 | 2.278500e+07 | 2.322500e+07 | 2.366700e+07 | 2.405100e+07 | 2.431165e+07 | 2.465040e+07 | 2.496445e+07 | 2.527185e+07 | 2.556765e+07 | 2.586435e+07 | 2.616700e+07 | 2.648825e+07 | 2.686800e+07 | 2.730280e+07 | 2.776740e+07 | 2.856240e+07 | 2.933940e+07 | 2.977450e+07 | 3.024320e+07 | 3.075770e+07 | 3.129890e+07 | 3.184790e+07 | 3.238720e+07 |
| 251 | 251 | St. Vincent and the Grenadines | VCT | Population, total | SP.POP.TOTL | 8.094900e+04 | 8.214200e+04 | 8.320600e+04 | 8.416700e+04 | 8.506900e+04 | 8.597000e+04 | 8.685700e+04 | 8.773600e+04 | 8.861300e+04 | 8.951600e+04 | 9.045200e+04 | 9.144000e+04 | 9.246300e+04 | 9.351700e+04 | 9.456800e+04 | 9.561100e+04 | 9.664100e+04 | 9.764900e+04 | 9.863300e+04 | 9.959000e+04 | 1.005050e+05 | 1.013790e+05 | 1.022040e+05 | 1.029840e+05 | 1.037420e+05 | 1.044770e+05 | 1.051980e+05 | 1.058960e+05 | 1.065360e+05 | 1.070840e+05 | 1.075050e+05 | 1.078140e+05 | 1.080030e+05 | 1.080920e+05 | 1.081290e+05 | 1.081220e+05 | 1.080750e+05 | 1.080040e+05 | 1.079220e+05 | 1.078800e+05 | 1.078980e+05 | 1.079880e+05 | 1.081460e+05 | 1.083500e+05 | 1.085590e+05 | 1.087440e+05 | 1.089070e+05 | 1.090470e+05 | 1.091650e+05 | 1.092530e+05 | 1.093150e+05 | 1.093410e+05 | 1.093280e+05 | 1.093200e+05 | 1.093570e+05 | 1.094550e+05 | 1.096430e+05 | 1.098970e+05 |
| 252 | 252 | Venezuela, RB | VEN | Population, total | SP.POP.TOTL | 8.146847e+06 | 8.461685e+06 | 8.790589e+06 | 9.130349e+06 | 9.476252e+06 | 9.824692e+06 | 1.017514e+07 | 1.052805e+07 | 1.088200e+07 | 1.123549e+07 | 1.158776e+07 | 1.193780e+07 | 1.228644e+07 | 1.263697e+07 | 1.299402e+07 | 1.336099e+07 | 1.373914e+07 | 1.412779e+07 | 1.452593e+07 | 1.493174e+07 | 1.534392e+07 | 1.576180e+07 | 1.618589e+07 | 1.661735e+07 | 1.705778e+07 | 1.750806e+07 | 1.796855e+07 | 1.843779e+07 | 1.891253e+07 | 1.938834e+07 | 1.986196e+07 | 2.033208e+07 | 2.079908e+07 | 2.126344e+07 | 2.172635e+07 | 2.218867e+07 | 2.265010e+07 | 2.311018e+07 | 2.356945e+07 | 2.402869e+07 | 2.448834e+07 | 2.494848e+07 | 2.540870e+07 | 2.586852e+07 | 2.632722e+07 | 2.678416e+07 | 2.723917e+07 | 2.769196e+07 | 2.814170e+07 | 2.858732e+07 | 2.902803e+07 | 2.946329e+07 | 2.989308e+07 | 3.031785e+07 | 3.073838e+07 | 3.115513e+07 | 3.156818e+07 | 3.197706e+07 |
| 253 | 253 | British Virgin Islands | VGB | Population, total | SP.POP.TOTL | 8.033000e+03 | 8.155000e+03 | 8.298000e+03 | 8.452000e+03 | 8.627000e+03 | 8.814000e+03 | 9.007000e+03 | 9.218000e+03 | 9.424000e+03 | 9.621000e+03 | 9.803000e+03 | 9.970000e+03 | 1.012500e+04 | 1.026400e+04 | 1.037900e+04 | 1.047600e+04 | 1.054300e+04 | 1.059100e+04 | 1.066200e+04 | 1.079200e+04 | 1.100200e+04 | 1.131500e+04 | 1.171200e+04 | 1.218800e+04 | 1.273100e+04 | 1.330400e+04 | 1.393800e+04 | 1.458900e+04 | 1.526600e+04 | 1.590000e+04 | 1.646100e+04 | 1.693400e+04 | 1.734400e+04 | 1.770300e+04 | 1.805200e+04 | 1.842700e+04 | 1.883300e+04 | 1.927000e+04 | 1.972200e+04 | 2.018800e+04 | 2.064500e+04 | 2.108500e+04 | 2.152900e+04 | 2.200000e+04 | 2.254100e+04 | 2.316800e+04 | 2.390500e+04 | 2.473100e+04 | 2.560400e+04 | 2.644700e+04 | 2.722400e+04 | 2.790100e+04 | 2.850900e+04 | 2.905600e+04 | 2.958800e+04 | 3.011300e+04 | 3.066100e+04 | 3.119600e+04 |
| 254 | 254 | Virgin Islands (U.S.) | VIR | Population, total | SP.POP.TOTL | 3.250000e+04 | 3.430000e+04 | 3.500000e+04 | 3.980000e+04 | 4.080000e+04 | 4.350000e+04 | 4.620000e+04 | 4.910000e+04 | 5.570000e+04 | 6.030000e+04 | 6.347600e+04 | 7.093700e+04 | 7.631900e+04 | 8.412100e+04 | 8.994100e+04 | 9.448400e+04 | 9.616600e+04 | 9.320300e+04 | 9.592900e+04 | 9.618300e+04 | 9.963600e+04 | 9.985300e+04 | 1.000680e+05 | 1.003480e+05 | 1.006000e+05 | 1.007600e+05 | 1.008420e+05 | 1.009010e+05 | 1.009520e+05 | 1.010410e+05 | 1.039630e+05 | 1.048070e+05 | 1.057120e+05 | 1.065780e+05 | 1.073180e+05 | 1.078180e+05 | 1.080950e+05 | 1.083570e+05 | 1.085370e+05 | 1.085990e+05 | 1.086420e+05 | 1.085490e+05 | 1.085100e+05 | 1.085060e+05 | 1.084670e+05 | 1.084540e+05 | 1.083710e+05 | 1.083390e+05 | 1.083990e+05 | 1.084050e+05 | 1.083580e+05 | 1.082920e+05 | 1.081910e+05 | 1.080440e+05 | 1.078840e+05 | 1.077100e+05 | 1.075100e+05 | 1.072680e+05 |
| 255 | 255 | Vietnam | VNM | Population, total | SP.POP.TOTL | 3.267063e+07 | 3.366677e+07 | 3.468416e+07 | 3.572209e+07 | 3.678098e+07 | 3.786001e+07 | 3.895933e+07 | 4.007470e+07 | 4.119584e+07 | 4.230966e+07 | 4.340729e+07 | 4.448591e+07 | 4.554948e+07 | 4.660473e+07 | 4.766177e+07 | 4.872939e+07 | 4.980807e+07 | 5.089950e+07 | 5.201528e+07 | 5.316967e+07 | 5.437251e+07 | 5.562775e+07 | 5.693182e+07 | 5.827739e+07 | 5.965309e+07 | 6.104937e+07 | 6.245956e+07 | 6.388130e+07 | 6.531371e+07 | 6.675740e+07 | 6.820960e+07 | 6.967090e+07 | 7.113045e+07 | 7.256043e+07 | 7.392508e+07 | 7.519898e+07 | 7.637272e+07 | 7.745334e+07 | 7.845290e+07 | 7.939137e+07 | 8.028556e+07 | 8.113992e+07 | 8.195650e+07 | 8.274766e+07 | 8.352768e+07 | 8.430884e+07 | 8.509462e+07 | 8.588959e+07 | 8.670780e+07 | 8.756541e+07 | 8.847251e+07 | 8.943664e+07 | 9.045188e+07 | 9.149772e+07 | 9.254492e+07 | 9.357157e+07 | 9.456907e+07 | 9.554080e+07 |
| 256 | 256 | Vanuatu | VUT | Population, total | SP.POP.TOTL | 6.369900e+04 | 6.571300e+04 | 6.780800e+04 | 6.996400e+04 | 7.213100e+04 | 7.428900e+04 | 7.641300e+04 | 7.852200e+04 | 8.067300e+04 | 8.294000e+04 | 8.538900e+04 | 8.802200e+04 | 9.082300e+04 | 9.376500e+04 | 9.679600e+04 | 9.987200e+04 | 1.030280e+05 | 1.062220e+05 | 1.094290e+05 | 1.125800e+05 | 1.156320e+05 | 1.185800e+05 | 1.214350e+05 | 1.242490e+05 | 1.270920e+05 | 1.300270e+05 | 1.330380e+05 | 1.361250e+05 | 1.393660e+05 | 1.428490e+05 | 1.466340e+05 | 1.507780e+05 | 1.552430e+05 | 1.598140e+05 | 1.642080e+05 | 1.682350e+05 | 1.718010e+05 | 1.749990e+05 | 1.780780e+05 | 1.813450e+05 | 1.850630e+05 | 1.892900e+05 | 1.939560e+05 | 1.989640e+05 | 2.041430e+05 | 2.093700e+05 | 2.146340e+05 | 2.199530e+05 | 2.253400e+05 | 2.307850e+05 | 2.362950e+05 | 2.418710e+05 | 2.474850e+05 | 2.531420e+05 | 2.588500e+05 | 2.646030e+05 | 2.704020e+05 | 2.762440e+05 |
| 257 | 257 | World | WLD | Population, total | SP.POP.TOTL | 3.032160e+09 | 3.073369e+09 | 3.126510e+09 | 3.191786e+09 | 3.257460e+09 | 3.324545e+09 | 3.394784e+09 | 3.464689e+09 | 3.535355e+09 | 3.610179e+09 | 3.685753e+09 | 3.763393e+09 | 3.840270e+09 | 3.916244e+09 | 3.992871e+09 | 4.067741e+09 | 4.140647e+09 | 4.213305e+09 | 4.287156e+09 | 4.362864e+09 | 4.439338e+09 | 4.517803e+09 | 4.599182e+09 | 4.681262e+09 | 4.763043e+09 | 4.846338e+09 | 4.932114e+09 | 5.020001e+09 | 5.108813e+09 | 5.197758e+09 | 5.288103e+09 | 5.375489e+09 | 5.459754e+09 | 5.544873e+09 | 5.628791e+09 | 5.713794e+09 | 5.796632e+09 | 5.879434e+09 | 5.961166e+09 | 6.041819e+09 | 6.121683e+09 | 6.201340e+09 | 6.280530e+09 | 6.359899e+09 | 6.439825e+09 | 6.520299e+09 | 6.601477e+09 | 6.683224e+09 | 6.766297e+09 | 6.849569e+09 | 6.932870e+09 | 7.014984e+09 | 7.099558e+09 | 7.185138e+09 | 7.271323e+09 | 7.357559e+09 | 7.444157e+09 | 7.530360e+09 |
| 258 | 258 | Samoa | WSM | Population, total | SP.POP.TOTL | 1.086460e+05 | 1.121190e+05 | 1.157880e+05 | 1.195610e+05 | 1.233540e+05 | 1.270680e+05 | 1.306880e+05 | 1.341930e+05 | 1.375060e+05 | 1.405180e+05 | 1.431760e+05 | 1.454390e+05 | 1.473210e+05 | 1.488890e+05 | 1.502210e+05 | 1.513870e+05 | 1.523900e+05 | 1.532470e+05 | 1.540070e+05 | 1.547600e+05 | 1.555570e+05 | 1.564280e+05 | 1.574030e+05 | 1.583840e+05 | 1.592830e+05 | 1.600310e+05 | 1.605920e+05 | 1.610150e+05 | 1.614210e+05 | 1.619980e+05 | 1.628660e+05 | 1.640760e+05 | 1.655700e+05 | 1.672070e+05 | 1.687880e+05 | 1.701570e+05 | 1.712830e+05 | 1.721980e+05 | 1.729810e+05 | 1.737550e+05 | 1.746100e+05 | 1.755660e+05 | 1.765820e+05 | 1.776620e+05 | 1.787810e+05 | 1.799290e+05 | 1.810940e+05 | 1.822860e+05 | 1.835260e+05 | 1.848260e+05 | 1.862050e+05 | 1.876650e+05 | 1.891940e+05 | 1.907570e+05 | 1.922900e+05 | 1.937590e+05 | 1.951250e+05 | 1.964400e+05 |
| 259 | 259 | Kosovo | XKX | Population, total | SP.POP.TOTL | 9.470000e+05 | 9.660000e+05 | 9.940000e+05 | 1.022000e+06 | 1.050000e+06 | 1.078000e+06 | 1.106000e+06 | 1.135000e+06 | 1.163000e+06 | 1.191000e+06 | 1.219000e+06 | 1.247000e+06 | 1.278000e+06 | 1.308000e+06 | 1.339000e+06 | 1.369000e+06 | 1.400000e+06 | 1.430000e+06 | 1.460000e+06 | 1.491000e+06 | 1.521000e+06 | 1.552000e+06 | 1.582000e+06 | 1.614000e+06 | 1.647000e+06 | 1.682000e+06 | 1.717000e+06 | 1.753000e+06 | 1.791000e+06 | 1.827000e+06 | 1.862000e+06 | 1.898000e+06 | 1.932000e+06 | 1.965000e+06 | 1.997000e+06 | 2.029000e+06 | 2.059000e+06 | 2.086000e+06 | 1.966000e+06 | 1.762000e+06 | 1.700000e+06 | 1.701154e+06 | 1.702310e+06 | 1.703466e+06 | 1.704622e+06 | 1.705780e+06 | 1.719536e+06 | 1.733404e+06 | 1.747383e+06 | 1.761474e+06 | 1.775680e+06 | 1.791000e+06 | 1.805200e+06 | 1.824100e+06 | 1.821800e+06 | 1.801800e+06 | 1.816200e+06 | 1.830700e+06 |
| 260 | 260 | Yemen, Rep. | YEM | Population, total | SP.POP.TOTL | 5.172135e+06 | 5.260501e+06 | 5.351799e+06 | 5.446063e+06 | 5.543339e+06 | 5.643643e+06 | 5.748588e+06 | 5.858638e+06 | 5.971407e+06 | 6.083619e+06 | 6.193810e+06 | 6.300554e+06 | 6.407295e+06 | 6.523452e+06 | 6.661566e+06 | 6.830692e+06 | 7.034868e+06 | 7.271872e+06 | 7.536764e+06 | 7.821552e+06 | 8.120497e+06 | 8.434017e+06 | 8.764621e+06 | 9.111097e+06 | 9.472170e+06 | 9.847899e+06 | 1.023273e+07 | 1.062858e+07 | 1.105150e+07 | 1.152327e+07 | 1.205704e+07 | 1.266161e+07 | 1.332558e+07 | 1.401724e+07 | 1.469269e+07 | 1.532065e+07 | 1.588945e+07 | 1.640895e+07 | 1.689621e+07 | 1.737810e+07 | 1.787472e+07 | 1.839014e+07 | 1.891918e+07 | 1.946209e+07 | 2.001707e+07 | 2.058293e+07 | 2.116053e+07 | 2.175160e+07 | 2.235639e+07 | 2.297493e+07 | 2.360678e+07 | 2.425221e+07 | 2.490997e+07 | 2.557632e+07 | 2.624633e+07 | 2.691621e+07 | 2.758421e+07 | 2.825042e+07 |
| 261 | 261 | South Africa | ZAF | Population, total | SP.POP.TOTL | 1.745686e+07 | 1.792067e+07 | 1.840161e+07 | 1.889928e+07 | 1.941298e+07 | 1.994230e+07 | 2.048644e+07 | 2.104578e+07 | 2.162259e+07 | 2.221990e+07 | 2.283945e+07 | 2.348281e+07 | 2.414814e+07 | 2.482969e+07 | 2.551960e+07 | 2.621240e+07 | 2.690435e+07 | 2.759730e+07 | 2.829815e+07 | 2.901705e+07 | 2.976047e+07 | 3.053295e+07 | 3.133026e+07 | 3.213971e+07 | 3.294358e+07 | 3.373015e+07 | 3.449042e+07 | 3.523025e+07 | 3.597054e+07 | 3.674088e+07 | 3.756052e+07 | 3.843786e+07 | 3.936022e+07 | 4.030016e+07 | 4.121890e+07 | 4.208816e+07 | 4.289852e+07 | 4.365702e+07 | 4.437211e+07 | 4.505878e+07 | 4.572832e+07 | 4.638501e+07 | 4.702617e+07 | 4.764873e+07 | 4.824740e+07 | 4.882059e+07 | 4.936458e+07 | 4.988718e+07 | 5.041213e+07 | 5.097082e+07 | 5.158466e+07 | 5.226352e+07 | 5.299821e+07 | 5.376740e+07 | 5.453957e+07 | 5.529122e+07 | 5.601547e+07 | 5.671716e+07 |
| 262 | 262 | Zambia | ZMB | Population, total | SP.POP.TOTL | 3.044846e+06 | 3.140264e+06 | 3.240587e+06 | 3.345145e+06 | 3.452942e+06 | 3.563407e+06 | 3.676189e+06 | 3.791887e+06 | 3.912085e+06 | 4.038923e+06 | 4.173928e+06 | 4.317748e+06 | 4.469895e+06 | 4.629402e+06 | 4.794754e+06 | 4.964831e+06 | 5.139030e+06 | 5.317631e+06 | 5.501445e+06 | 5.691749e+06 | 5.889230e+06 | 6.094206e+06 | 6.305709e+06 | 6.521542e+06 | 6.738765e+06 | 6.955212e+06 | 7.170656e+06 | 7.385686e+06 | 7.600072e+06 | 7.813808e+06 | 8.027253e+06 | 8.239732e+06 | 8.452275e+06 | 8.669168e+06 | 8.896109e+06 | 9.137077e+06 | 9.394304e+06 | 9.666578e+06 | 9.950224e+06 | 1.023971e+07 | 1.053122e+07 | 1.082412e+07 | 1.112041e+07 | 1.142198e+07 | 1.173175e+07 | 1.205216e+07 | 1.238345e+07 | 1.272597e+07 | 1.308252e+07 | 1.345642e+07 | 1.385003e+07 | 1.426476e+07 | 1.469994e+07 | 1.515321e+07 | 1.562097e+07 | 1.610059e+07 | 1.659139e+07 | 1.709413e+07 |
| 263 | 263 | Zimbabwe | ZWE | Population, total | SP.POP.TOTL | 3.747369e+06 | 3.870756e+06 | 3.999419e+06 | 4.132756e+06 | 4.269863e+06 | 4.410212e+06 | 4.553433e+06 | 4.700041e+06 | 4.851431e+06 | 5.009514e+06 | 5.175618e+06 | 5.351195e+06 | 5.535874e+06 | 5.727044e+06 | 5.920943e+06 | 6.115370e+06 | 6.308300e+06 | 6.501893e+06 | 6.703182e+06 | 6.921790e+06 | 7.164172e+06 | 7.431940e+06 | 7.721536e+06 | 8.027565e+06 | 8.342195e+06 | 8.658857e+06 | 8.976205e+06 | 9.293283e+06 | 9.604302e+06 | 9.902540e+06 | 1.018311e+07 | 1.044304e+07 | 1.068287e+07 | 1.090576e+07 | 1.111695e+07 | 1.132035e+07 | 1.151826e+07 | 1.171000e+07 | 1.189327e+07 | 1.206454e+07 | 1.222225e+07 | 1.236616e+07 | 1.250052e+07 | 1.263390e+07 | 1.277751e+07 | 1.294003e+07 | 1.312427e+07 | 1.332991e+07 | 1.355847e+07 | 1.381060e+07 | 1.408632e+07 | 1.438665e+07 | 1.471083e+07 | 1.505451e+07 | 1.541168e+07 | 1.577745e+07 | 1.615036e+07 | 1.652990e+07 |
pd.read_sql('SELECT "Country_Name", "Country_Code", "1960" FROM population_data', conn)
| Country_Name | Country_Code | 1960 | |
|---|---|---|---|
| 0 | Aruba | ABW | 5.421100e+04 |
| 1 | Afghanistan | AFG | 8.996351e+06 |
| 2 | Angola | AGO | 5.643182e+06 |
| 3 | Albania | ALB | 1.608800e+06 |
| 4 | Andorra | AND | 1.341100e+04 |
| 5 | Arab World | ARB | 9.249093e+07 |
| 6 | United Arab Emirates | ARE | 9.263400e+04 |
| 7 | Argentina | ARG | 2.061908e+07 |
| 8 | Armenia | ARM | 1.874120e+06 |
| 9 | American Samoa | ASM | 2.001300e+04 |
| 10 | Antigua and Barbuda | ATG | 5.533900e+04 |
| 11 | Australia | AUS | 1.027648e+07 |
| 12 | Austria | AUT | 7.047539e+06 |
| 13 | Azerbaijan | AZE | 3.895396e+06 |
| 14 | Burundi | BDI | 2.786106e+06 |
| 15 | Belgium | BEL | 9.153489e+06 |
| 16 | Benin | BEN | 2.431622e+06 |
| 17 | Burkina Faso | BFA | 4.829288e+06 |
| 18 | Bangladesh | BGD | 4.819975e+07 |
| 19 | Bulgaria | BGR | 7.867374e+06 |
| 20 | Bahrain | BHR | 1.624270e+05 |
| 21 | Bahamas, The | BHS | 1.095280e+05 |
| 22 | Bosnia and Herzegovina | BIH | 3.225668e+06 |
| 23 | Belarus | BLR | 8.198000e+06 |
| 24 | Belize | BLZ | 9.206400e+04 |
| 25 | Bermuda | BMU | 4.440000e+04 |
| 26 | Bolivia | BOL | 3.693449e+06 |
| 27 | Brazil | BRA | 7.220755e+07 |
| 28 | Barbados | BRB | 2.309390e+05 |
| 29 | Brunei Darussalam | BRN | 8.174500e+04 |
| 30 | Bhutan | BTN | 2.232880e+05 |
| 31 | Botswana | BWA | 5.245520e+05 |
| 32 | Central African Republic | CAF | 1.503508e+06 |
| 33 | Canada | CAN | 1.790901e+07 |
| 34 | Central Europe and the Baltics | CEB | 9.140158e+07 |
| 35 | Switzerland | CHE | 5.327827e+06 |
| 36 | Channel Islands | CHI | 1.094200e+05 |
| 37 | Chile | CHL | 7.716625e+06 |
| 38 | China | CHN | 6.670700e+08 |
| 39 | Cote d'Ivoire | CIV | 3.558988e+06 |
| 40 | Cameroon | CMR | 5.176268e+06 |
| 41 | Congo, Dem. Rep. | COD | 1.524825e+07 |
| 42 | Congo, Rep. | COG | 1.037220e+06 |
| 43 | Colombia | COL | 1.648038e+07 |
| 44 | Comoros | COM | 1.911210e+05 |
| 45 | Cabo Verde | CPV | 2.023100e+05 |
| 46 | Costa Rica | CRI | 1.333040e+06 |
| 47 | Caribbean small states | CSS | 4.198307e+06 |
| 48 | Cuba | CUB | 7.141135e+06 |
| 49 | Curacao | CUW | 1.248260e+05 |
| 50 | Cayman Islands | CYM | 7.865000e+03 |
| 51 | Cyprus | CYP | 5.729300e+05 |
| 52 | Czech Republic | CZE | 9.602006e+06 |
| 53 | Germany | DEU | 7.281490e+07 |
| 54 | Djibouti | DJI | 8.363600e+04 |
| 55 | Dominica | DMA | 6.001100e+04 |
| 56 | Denmark | DNK | 4.579603e+06 |
| 57 | Dominican Republic | DOM | 3.294042e+06 |
| 58 | Algeria | DZA | 1.112489e+07 |
| 59 | East Asia & Pacific (excluding high income) | EAP | 8.939563e+08 |
| 60 | Early-demographic dividend | EAR | 9.792874e+08 |
| 61 | East Asia & Pacific | EAS | 1.039945e+09 |
| 62 | Europe & Central Asia (excluding high income) | ECA | 2.749479e+08 |
| 63 | Europe & Central Asia | ECS | 6.672464e+08 |
| 64 | Ecuador | ECU | 4.545550e+06 |
| 65 | Egypt, Arab Rep. | EGY | 2.699653e+07 |
| 66 | Euro area | EMU | 2.653965e+08 |
| 67 | Eritrea | ERI | 1.397491e+06 |
| 68 | Spain | ESP | 3.045500e+07 |
| 69 | Estonia | EST | 1.211537e+06 |
| 70 | Ethiopia | ETH | 2.215128e+07 |
| 71 | European Union | EUU | 4.094985e+08 |
| 72 | Fragile and conflict affected situations | FCS | 1.199679e+08 |
| 73 | Finland | FIN | 4.429634e+06 |
| 74 | Fiji | FJI | 3.933860e+05 |
| 75 | France | FRA | 4.681424e+07 |
| 76 | Faroe Islands | FRO | 3.466100e+04 |
| 77 | Micronesia, Fed. Sts. | FSM | 4.453700e+04 |
| 78 | Gabon | GAB | 4.991840e+05 |
| 79 | United Kingdom | GBR | 5.240000e+07 |
| 80 | Georgia | GEO | 3.645600e+06 |
| 81 | Ghana | GHA | 6.652287e+06 |
| 82 | Gibraltar | GIB | 2.339400e+04 |
| 83 | Guinea | GIN | 3.577409e+06 |
| 84 | Gambia, The | GMB | 3.679280e+05 |
| 85 | Guinea-Bissau | GNB | 6.164090e+05 |
| 86 | Equatorial Guinea | GNQ | 2.553230e+05 |
| 87 | Greece | GRC | 8.331725e+06 |
| 88 | Grenada | GRD | 8.986900e+04 |
| 89 | Greenland | GRL | 3.250000e+04 |
| 90 | Guatemala | GTM | 4.210747e+06 |
| 91 | Guam | GUM | 6.674200e+04 |
| 92 | Guyana | GUY | 5.718190e+05 |
| 93 | High income | HIC | 7.805019e+08 |
| 94 | Hong Kong SAR, China | HKG | 3.075605e+06 |
| 95 | Honduras | HND | 2.038637e+06 |
| 96 | Heavily indebted poor countries (HIPC) | HPC | 1.624956e+08 |
| 97 | Croatia | HRV | 4.140000e+06 |
| 98 | Haiti | HTI | 3.866159e+06 |
| 99 | Hungary | HUN | 9.983967e+06 |
| 100 | IBRD only | IBD | 1.917374e+09 |
| 101 | IDA & IBRD total | IBT | 2.299864e+09 |
| 102 | IDA total | IDA | 3.824897e+08 |
| 103 | IDA blend | IDB | 1.231951e+08 |
| 104 | Indonesia | IDN | 8.779252e+07 |
| 105 | IDA only | IDX | 2.592947e+08 |
| 106 | Isle of Man | IMN | 4.844200e+04 |
| 107 | India | IND | 4.494806e+08 |
| 108 | Not classified | INX | NaN |
| 109 | Ireland | IRL | 2.828600e+06 |
| 110 | Iran, Islamic Rep. | IRN | 2.190690e+07 |
| 111 | Iraq | IRQ | 7.289761e+06 |
| 112 | Iceland | ISL | 1.755740e+05 |
| 113 | Israel | ISR | 2.114020e+06 |
| 114 | Italy | ITA | 5.019970e+07 |
| 115 | Jamaica | JAM | 1.628252e+06 |
| 116 | Jordan | JOR | 9.322570e+05 |
| 117 | Japan | JPN | 9.250057e+07 |
| 118 | Kazakhstan | KAZ | 9.714260e+06 |
| 119 | Kenya | KEN | 8.105440e+06 |
| 120 | Kyrgyz Republic | KGZ | 2.172300e+06 |
| 121 | Cambodia | KHM | 5.722370e+06 |
| 122 | Kiribati | KIR | 4.123300e+04 |
| 123 | St. Kitts and Nevis | KNA | 5.119500e+04 |
| 124 | Korea, Rep. | KOR | 2.501237e+07 |
| 125 | Kuwait | KWT | 2.696180e+05 |
| 126 | Latin America & Caribbean (excluding high income) | LAC | 1.845365e+08 |
| 127 | Lao PDR | LAO | 2.120896e+06 |
| 128 | Lebanon | LBN | 1.804926e+06 |
| 129 | Liberia | LBR | 1.120313e+06 |
| 130 | Libya | LBY | 1.448417e+06 |
| 131 | St. Lucia | LCA | 8.989700e+04 |
| 132 | Latin America & Caribbean | LCN | 2.204347e+08 |
| 133 | Least developed countries: UN classification | LDC | 2.407422e+08 |
| 134 | Low income | LIC | 1.665028e+08 |
| 135 | Liechtenstein | LIE | 1.649500e+04 |
| 136 | Sri Lanka | LKA | 9.874481e+06 |
| 137 | Lower middle income | LMC | 9.345867e+08 |
| 138 | Low & middle income | LMY | 2.251658e+09 |
| 139 | Lesotho | LSO | 8.515910e+05 |
| 140 | Late-demographic dividend | LTE | 1.097221e+09 |
| 141 | Lithuania | LTU | 2.778550e+06 |
| 142 | Luxembourg | LUX | 3.139700e+05 |
| 143 | Latvia | LVA | 2.120979e+06 |
| 144 | Macao SAR, China | MAC | 1.677960e+05 |
| 145 | St. Martin (French part) | MAF | 4.279000e+03 |
| 146 | Morocco | MAR | 1.232853e+07 |
| 147 | Monaco | MCO | 2.245200e+04 |
| 148 | Moldova | MDA | 2.544000e+06 |
| 149 | Madagascar | MDG | 5.099373e+06 |
| 150 | Maldives | MDV | 8.988700e+04 |
| 151 | Middle East & North Africa | MEA | 1.054887e+08 |
| 152 | Mexico | MEX | 3.817411e+07 |
| 153 | Marshall Islands | MHL | 1.466200e+04 |
| 154 | Middle income | MIC | 2.085156e+09 |
| 155 | Macedonia, FYR | MKD | 1.488667e+06 |
| 156 | Mali | MLI | 5.263733e+06 |
| 157 | Malta | MLT | 3.265500e+05 |
| 158 | Myanmar | MMR | 2.098612e+07 |
| 159 | Middle East & North Africa (excluding high inc... | MNA | 9.783777e+07 |
| 160 | Montenegro | MNE | 4.805790e+05 |
| 161 | Mongolia | MNG | 9.555050e+05 |
| 162 | Northern Mariana Islands | MNP | 1.003500e+04 |
| 163 | Mozambique | MOZ | 7.388695e+06 |
| 164 | Mauritania | MRT | 8.581680e+05 |
| 165 | Mauritius | MUS | 6.593510e+05 |
| 166 | Malawi | MWI | 3.618595e+06 |
| 167 | Malaysia | MYS | 8.157106e+06 |
| 168 | North America | NAC | 1.986244e+08 |
| 169 | Namibia | NAM | 6.025440e+05 |
| 170 | New Caledonia | NCL | 7.900000e+04 |
| 171 | Niger | NER | 3.388764e+06 |
| 172 | Nigeria | NGA | 4.513781e+07 |
| 173 | Nicaragua | NIC | 1.774699e+06 |
| 174 | Netherlands | NLD | 1.148663e+07 |
| 175 | Norway | NOR | 3.581239e+06 |
| 176 | Nepal | NPL | 1.006301e+07 |
| 177 | Nauru | NRU | 4.433000e+03 |
| 178 | New Zealand | NZL | 2.371800e+06 |
| 179 | OECD members | OED | 7.887091e+08 |
| 180 | Oman | OMN | 5.517400e+05 |
| 181 | Other small states | OSS | 9.196324e+06 |
| 182 | Pakistan | PAK | 4.490829e+07 |
| 183 | Panama | PAN | 1.132921e+06 |
| 184 | Peru | PER | 1.006152e+07 |
| 185 | Philippines | PHL | 2.627302e+07 |
| 186 | Palau | PLW | 9.642000e+03 |
| 187 | Papua New Guinea | PNG | 2.010677e+06 |
| 188 | Poland | POL | 2.963745e+07 |
| 189 | Pre-demographic dividend | PRE | 1.886362e+08 |
| 190 | Puerto Rico | PRI | 2.358000e+06 |
| 191 | Korea, Dem. People’s Rep. | PRK | 1.142418e+07 |
| 192 | Portugal | PRT | 8.857716e+06 |
| 193 | Paraguay | PRY | 1.902875e+06 |
| 194 | West Bank and Gaza | PSE | NaN |
| 195 | Pacific island small states | PSS | 8.658090e+05 |
| 196 | Post-demographic dividend | PST | 7.547053e+08 |
| 197 | French Polynesia | PYF | 7.807600e+04 |
| 198 | Qatar | QAT | 4.738400e+04 |
| 199 | Romania | ROU | 1.840690e+07 |
| 200 | Russian Federation | RUS | 1.198970e+08 |
| 201 | Rwanda | RWA | 2.933428e+06 |
| 202 | South Asia | SAS | 5.718357e+08 |
| 203 | Saudi Arabia | SAU | 4.086539e+06 |
| 204 | Sudan | SDN | 7.544491e+06 |
| 205 | Senegal | SEN | 3.206749e+06 |
| 206 | Singapore | SGP | 1.646400e+06 |
| 207 | Solomon Islands | SLB | 1.178660e+05 |
| 208 | Sierra Leone | SLE | 2.297110e+06 |
| 209 | El Salvador | SLV | 2.762899e+06 |
| 210 | San Marino | SMR | 1.539700e+04 |
| 211 | Somalia | SOM | 2.755947e+06 |
| 212 | Serbia | SRB | NaN |
| 213 | Sub-Saharan Africa (excluding high income) | SSA | 2.285443e+08 |
| 214 | South Sudan | SSD | 2.955152e+06 |
| 215 | Sub-Saharan Africa | SSF | 2.285860e+08 |
| 216 | Small states | SST | 1.426044e+07 |
| 217 | Sao Tome and Principe | STP | 6.425300e+04 |
| 218 | Suriname | SUR | 2.899660e+05 |
| 219 | Slovak Republic | SVK | 4.068095e+06 |
| 220 | Slovenia | SVN | 1.584720e+06 |
| 221 | Sweden | SWE | 7.484656e+06 |
| 222 | Swaziland | SWZ | 3.491740e+05 |
| 223 | Sint Maarten (Dutch part) | SXM | NaN |
| 224 | Seychelles | SYC | 4.170000e+04 |
| 225 | Syrian Arab Republic | SYR | 4.573512e+06 |
| 226 | Turks and Caicos Islands | TCA | 5.726000e+03 |
| 227 | Chad | TCD | 3.001593e+06 |
| 228 | East Asia & Pacific (IDA & IBRD countries) | TEA | 8.825218e+08 |
| 229 | Europe & Central Asia (IDA & IBRD countries) | TEC | 3.087254e+08 |
| 230 | Togo | TGO | 1.580513e+06 |
| 231 | Thailand | THA | 2.739718e+07 |
| 232 | Tajikistan | TJK | 2.087038e+06 |
| 233 | Turkmenistan | TKM | 1.603258e+06 |
| 234 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2.103576e+08 |
| 235 | Timor-Leste | TLS | 4.999500e+05 |
| 236 | Middle East & North Africa (IDA & IBRD countries) | TMN | 9.783777e+07 |
| 237 | Tonga | TON | 6.160100e+04 |
| 238 | South Asia (IDA & IBRD) | TSA | 5.718357e+08 |
| 239 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2.285860e+08 |
| 240 | Trinidad and Tobago | TTO | 8.484790e+05 |
| 241 | Tunisia | TUN | 4.176266e+06 |
| 242 | Turkey | TUR | 2.747233e+07 |
| 243 | Tuvalu | TUV | 6.104000e+03 |
| 244 | Tanzania | TZA | 1.007451e+07 |
| 245 | Uganda | UGA | 6.788214e+06 |
| 246 | Ukraine | UKR | 4.266215e+07 |
| 247 | Upper middle income | UMC | 1.150569e+09 |
| 248 | Uruguay | URY | 2.538651e+06 |
| 249 | United States | USA | 1.806710e+08 |
| 250 | Uzbekistan | UZB | 8.549493e+06 |
| 251 | St. Vincent and the Grenadines | VCT | 8.094900e+04 |
| 252 | Venezuela, RB | VEN | 8.146847e+06 |
| 253 | British Virgin Islands | VGB | 8.033000e+03 |
| 254 | Virgin Islands (U.S.) | VIR | 3.250000e+04 |
| 255 | Vietnam | VNM | 3.267063e+07 |
| 256 | Vanuatu | VUT | 6.369900e+04 |
| 257 | World | WLD | 3.032160e+09 |
| 258 | Samoa | WSM | 1.086460e+05 |
| 259 | Kosovo | XKX | 9.470000e+05 |
| 260 | Yemen, Rep. | YEM | 5.172135e+06 |
| 261 | South Africa | ZAF | 1.745686e+07 |
| 262 | Zambia | ZMB | 3.044846e+06 |
| 263 | Zimbabwe | ZWE | 3.747369e+06 |
If you are working with a different type of database such as MySQL or PostgreSQL, you can use the SQLAlchemy library with pandas. Here are the instructions for connecting to different types of databases using SQLAlchemy.
Run the code below to see how to connect to the population_data.db database.
import os
print(os.getcwd())
/Users/xuhao3/UDACITY/Data_Engineering
import pandas as pd
from sqlalchemy import create_engine
###
# create a database engine
# to find the correct file path, use the python os library:
# import os
# print(os.getcwd())
#
###
engine = create_engine('sqlite:///population_data.db')
pd.read_sql("SELECT * FROM population_data", engine)
| index | Country_Name | Country_Code | Indicator_Name | Indicator_Code | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | Aruba | ABW | Population, total | SP.POP.TOTL | 5.421100e+04 | 5.543800e+04 | 5.622500e+04 | 5.669500e+04 | 5.703200e+04 | 5.736000e+04 | 5.771500e+04 | 5.805500e+04 | 5.838600e+04 | 5.872600e+04 | 5.906300e+04 | 5.944000e+04 | 5.984000e+04 | 6.024300e+04 | 6.052800e+04 | 6.065700e+04 | 6.058600e+04 | 6.036600e+04 | 6.010300e+04 | 5.998000e+04 | 6.009600e+04 | 6.056700e+04 | 6.134500e+04 | 6.220100e+04 | 6.283600e+04 | 6.302600e+04 | 6.264400e+04 | 6.183300e+04 | 6.107900e+04 | 6.103200e+04 | 6.214900e+04 | 6.462200e+04 | 6.823500e+04 | 7.250400e+04 | 7.670000e+04 | 8.032400e+04 | 8.320000e+04 | 8.545100e+04 | 8.727700e+04 | 8.900500e+04 | 9.085300e+04 | 9.289800e+04 | 9.499200e+04 | 9.701700e+04 | 9.873700e+04 | 1.000310e+05 | 1.008320e+05 | 1.012200e+05 | 1.013530e+05 | 1.014530e+05 | 1.016690e+05 | 1.020530e+05 | 1.025770e+05 | 1.031870e+05 | 1.037950e+05 | 1.043410e+05 | 1.048220e+05 | 1.052640e+05 |
| 1 | 1 | Afghanistan | AFG | Population, total | SP.POP.TOTL | 8.996351e+06 | 9.166764e+06 | 9.345868e+06 | 9.533954e+06 | 9.731361e+06 | 9.938414e+06 | 1.015233e+07 | 1.037263e+07 | 1.060435e+07 | 1.085443e+07 | 1.112612e+07 | 1.141782e+07 | 1.172194e+07 | 1.202782e+07 | 1.232154e+07 | 1.259029e+07 | 1.284030e+07 | 1.306754e+07 | 1.323773e+07 | 1.330670e+07 | 1.324837e+07 | 1.305395e+07 | 1.274964e+07 | 1.238927e+07 | 1.204712e+07 | 1.178305e+07 | 1.160104e+07 | 1.150276e+07 | 1.154089e+07 | 1.177761e+07 | 1.224911e+07 | 1.299366e+07 | 1.398123e+07 | 1.509510e+07 | 1.617272e+07 | 1.709954e+07 | 1.782288e+07 | 1.838160e+07 | 1.886400e+07 | 1.940368e+07 | 2.009376e+07 | 2.096646e+07 | 2.197992e+07 | 2.306485e+07 | 2.411898e+07 | 2.507080e+07 | 2.589345e+07 | 2.661679e+07 | 2.729403e+07 | 2.800433e+07 | 2.880317e+07 | 2.970860e+07 | 3.069696e+07 | 3.173169e+07 | 3.275802e+07 | 3.373649e+07 | 3.465603e+07 | 3.553008e+07 |
| 2 | 2 | Angola | AGO | Population, total | SP.POP.TOTL | 5.643182e+06 | 5.753024e+06 | 5.866061e+06 | 5.980417e+06 | 6.093321e+06 | 6.203299e+06 | 6.309770e+06 | 6.414995e+06 | 6.523791e+06 | 6.642632e+06 | 6.776381e+06 | 6.927269e+06 | 7.094834e+06 | 7.277960e+06 | 7.474338e+06 | 7.682479e+06 | 7.900997e+06 | 8.130988e+06 | 8.376147e+06 | 8.641521e+06 | 8.929900e+06 | 9.244507e+06 | 9.582156e+06 | 9.931562e+06 | 1.027732e+07 | 1.060904e+07 | 1.092104e+07 | 1.121827e+07 | 1.151397e+07 | 1.182724e+07 | 1.217144e+07 | 1.255345e+07 | 1.296834e+07 | 1.340373e+07 | 1.384130e+07 | 1.426899e+07 | 1.468228e+07 | 1.508898e+07 | 1.550432e+07 | 1.594977e+07 | 1.644092e+07 | 1.698327e+07 | 1.757265e+07 | 1.820337e+07 | 1.886572e+07 | 1.955254e+07 | 2.026240e+07 | 2.099769e+07 | 2.175942e+07 | 2.254955e+07 | 2.336913e+07 | 2.421856e+07 | 2.509615e+07 | 2.599834e+07 | 2.692047e+07 | 2.785930e+07 | 2.881346e+07 | 2.978419e+07 |
| 3 | 3 | Albania | ALB | Population, total | SP.POP.TOTL | 1.608800e+06 | 1.659800e+06 | 1.711319e+06 | 1.762621e+06 | 1.814135e+06 | 1.864791e+06 | 1.914573e+06 | 1.965598e+06 | 2.022272e+06 | 2.081695e+06 | 2.135479e+06 | 2.187853e+06 | 2.243126e+06 | 2.296752e+06 | 2.350124e+06 | 2.404831e+06 | 2.458526e+06 | 2.513546e+06 | 2.566266e+06 | 2.617832e+06 | 2.671997e+06 | 2.726056e+06 | 2.784278e+06 | 2.843960e+06 | 2.904429e+06 | 2.964762e+06 | 3.022635e+06 | 3.083605e+06 | 3.142336e+06 | 3.227943e+06 | 3.286542e+06 | 3.266790e+06 | 3.247039e+06 | 3.227287e+06 | 3.207536e+06 | 3.187784e+06 | 3.168033e+06 | 3.148281e+06 | 3.128530e+06 | 3.108778e+06 | 3.089027e+06 | 3.060173e+06 | 3.051010e+06 | 3.039616e+06 | 3.026939e+06 | 3.011487e+06 | 2.992547e+06 | 2.970017e+06 | 2.947314e+06 | 2.927519e+06 | 2.913021e+06 | 2.905195e+06 | 2.900401e+06 | 2.895092e+06 | 2.889104e+06 | 2.880703e+06 | 2.876101e+06 | 2.873457e+06 |
| 4 | 4 | Andorra | AND | Population, total | SP.POP.TOTL | 1.341100e+04 | 1.437500e+04 | 1.537000e+04 | 1.641200e+04 | 1.746900e+04 | 1.854900e+04 | 1.964700e+04 | 2.075800e+04 | 2.189000e+04 | 2.305800e+04 | 2.427600e+04 | 2.555900e+04 | 2.689200e+04 | 2.823200e+04 | 2.952000e+04 | 3.070500e+04 | 3.177700e+04 | 3.277100e+04 | 3.373700e+04 | 3.481800e+04 | 3.606700e+04 | 3.750000e+04 | 3.911400e+04 | 4.086700e+04 | 4.270600e+04 | 4.460000e+04 | 4.651700e+04 | 4.845500e+04 | 5.043400e+04 | 5.244800e+04 | 5.450900e+04 | 5.667100e+04 | 5.888800e+04 | 6.097100e+04 | 6.267700e+04 | 6.385000e+04 | 6.436000e+04 | 6.432700e+04 | 6.414200e+04 | 6.437000e+04 | 6.539000e+04 | 6.734100e+04 | 7.004900e+04 | 7.318200e+04 | 7.624400e+04 | 7.886700e+04 | 8.099100e+04 | 8.268300e+04 | 8.386100e+04 | 8.446200e+04 | 8.444900e+04 | 8.375100e+04 | 8.243100e+04 | 8.078800e+04 | 7.922300e+04 | 7.801400e+04 | 7.728100e+04 | 7.696500e+04 |
| 5 | 5 | Arab World | ARB | Population, total | SP.POP.TOTL | 9.249093e+07 | 9.504450e+07 | 9.768229e+07 | 1.004111e+08 | 1.032399e+08 | 1.061750e+08 | 1.092306e+08 | 1.124069e+08 | 1.156802e+08 | 1.190165e+08 | 1.223984e+08 | 1.258074e+08 | 1.292694e+08 | 1.328634e+08 | 1.366968e+08 | 1.408433e+08 | 1.453324e+08 | 1.501331e+08 | 1.551837e+08 | 1.603925e+08 | 1.656895e+08 | 1.710520e+08 | 1.764901e+08 | 1.820058e+08 | 1.876108e+08 | 1.933103e+08 | 1.990938e+08 | 2.049425e+08 | 2.108448e+08 | 2.167874e+08 | 2.247354e+08 | 2.308299e+08 | 2.350372e+08 | 2.412861e+08 | 2.474359e+08 | 2.550297e+08 | 2.608435e+08 | 2.665751e+08 | 2.722351e+08 | 2.779629e+08 | 2.838320e+08 | 2.898504e+08 | 2.960266e+08 | 3.024345e+08 | 3.091620e+08 | 3.162647e+08 | 3.237733e+08 | 3.316538e+08 | 3.398255e+08 | 3.481451e+08 | 3.565089e+08 | 3.648959e+08 | 3.733070e+08 | 3.817021e+08 | 3.900430e+08 | 3.983050e+08 | 4.064527e+08 | 4.144919e+08 |
| 6 | 6 | United Arab Emirates | ARE | Population, total | SP.POP.TOTL | 9.263400e+04 | 1.010780e+05 | 1.124720e+05 | 1.255660e+05 | 1.385290e+05 | 1.503620e+05 | 1.604810e+05 | 1.702830e+05 | 1.831940e+05 | 2.038200e+05 | 2.354990e+05 | 2.788080e+05 | 3.327600e+05 | 3.971740e+05 | 4.713640e+05 | 5.543240e+05 | 6.469430e+05 | 7.481170e+05 | 8.522620e+05 | 9.520400e+05 | 1.042384e+06 | 1.120900e+06 | 1.189545e+06 | 1.253060e+06 | 1.318478e+06 | 1.391052e+06 | 1.472218e+06 | 1.560718e+06 | 1.655849e+06 | 1.756043e+06 | 1.860174e+06 | 1.970026e+06 | 2.086639e+06 | 2.207405e+06 | 2.328686e+06 | 2.448820e+06 | 2.571020e+06 | 2.700010e+06 | 2.838145e+06 | 2.988162e+06 | 3.154925e+06 | 3.326032e+06 | 3.507232e+06 | 3.741932e+06 | 4.087931e+06 | 4.579562e+06 | 5.242032e+06 | 6.044067e+06 | 6.894278e+06 | 7.666393e+06 | 8.270684e+06 | 8.672475e+06 | 8.900453e+06 | 9.006263e+06 | 9.070867e+06 | 9.154302e+06 | 9.269612e+06 | 9.400145e+06 |
| 7 | 7 | Argentina | ARG | Population, total | SP.POP.TOTL | 2.061908e+07 | 2.095308e+07 | 2.128768e+07 | 2.162184e+07 | 2.195393e+07 | 2.228339e+07 | 2.260875e+07 | 2.293220e+07 | 2.326128e+07 | 2.360599e+07 | 2.397306e+07 | 2.436644e+07 | 2.478295e+07 | 2.521339e+07 | 2.564451e+07 | 2.606698e+07 | 2.647715e+07 | 2.687856e+07 | 2.727774e+07 | 2.768453e+07 | 2.810589e+07 | 2.854336e+07 | 2.899399e+07 | 2.945474e+07 | 2.992090e+07 | 3.038878e+07 | 3.085724e+07 | 3.132647e+07 | 3.179552e+07 | 3.226356e+07 | 3.272974e+07 | 3.319392e+07 | 3.365515e+07 | 3.411092e+07 | 3.455812e+07 | 3.499481e+07 | 3.541968e+07 | 3.583397e+07 | 3.624159e+07 | 3.664807e+07 | 3.705745e+07 | 3.747151e+07 | 3.788937e+07 | 3.830938e+07 | 3.872870e+07 | 3.914549e+07 | 3.955889e+07 | 3.997022e+07 | 4.038239e+07 | 4.079941e+07 | 4.122389e+07 | 4.165688e+07 | 4.209674e+07 | 4.253992e+07 | 4.298152e+07 | 4.341776e+07 | 4.384743e+07 | 4.427104e+07 |
| 8 | 8 | Armenia | ARM | Population, total | SP.POP.TOTL | 1.874120e+06 | 1.941491e+06 | 2.009526e+06 | 2.077575e+06 | 2.144998e+06 | 2.211316e+06 | 2.276031e+06 | 2.339124e+06 | 2.401140e+06 | 2.462925e+06 | 2.525065e+06 | 2.587706e+06 | 2.650484e+06 | 2.712781e+06 | 2.773747e+06 | 2.832757e+06 | 2.889579e+06 | 2.944379e+06 | 2.997411e+06 | 3.049105e+06 | 3.099751e+06 | 3.148092e+06 | 3.193686e+06 | 3.238594e+06 | 3.285595e+06 | 3.335935e+06 | 3.392256e+06 | 3.451942e+06 | 3.504651e+06 | 3.536469e+06 | 3.538165e+06 | 3.505251e+06 | 3.442810e+06 | 3.363098e+06 | 3.283660e+06 | 3.217342e+06 | 3.168215e+06 | 3.133086e+06 | 3.108684e+06 | 3.089017e+06 | 3.069588e+06 | 3.050655e+06 | 3.033897e+06 | 3.017806e+06 | 3.000612e+06 | 2.981259e+06 | 2.958500e+06 | 2.933056e+06 | 2.908220e+06 | 2.888584e+06 | 2.877311e+06 | 2.875581e+06 | 2.881922e+06 | 2.893509e+06 | 2.906220e+06 | 2.916950e+06 | 2.924816e+06 | 2.930450e+06 |
| 9 | 9 | American Samoa | ASM | Population, total | SP.POP.TOTL | 2.001300e+04 | 2.048600e+04 | 2.111700e+04 | 2.188200e+04 | 2.269800e+04 | 2.352000e+04 | 2.432100e+04 | 2.511600e+04 | 2.588500e+04 | 2.661400e+04 | 2.729200e+04 | 2.791600e+04 | 2.849200e+04 | 2.901400e+04 | 2.948800e+04 | 2.993200e+04 | 3.032100e+04 | 3.068900e+04 | 3.110200e+04 | 3.167300e+04 | 3.245700e+04 | 3.349300e+04 | 3.473800e+04 | 3.616000e+04 | 3.768800e+04 | 3.924100e+04 | 4.083700e+04 | 4.245000e+04 | 4.404700e+04 | 4.559300e+04 | 4.703800e+04 | 4.837500e+04 | 4.959300e+04 | 5.072000e+04 | 5.180300e+04 | 5.286800e+04 | 5.392900e+04 | 5.494100e+04 | 5.590100e+04 | 5.677000e+04 | 5.752100e+04 | 5.817500e+04 | 5.873100e+04 | 5.911700e+04 | 5.926400e+04 | 5.911800e+04 | 5.865000e+04 | 5.790300e+04 | 5.703000e+04 | 5.622700e+04 | 5.563700e+04 | 5.532000e+04 | 5.523000e+04 | 5.530700e+04 | 5.543700e+04 | 5.553700e+04 | 5.559900e+04 | 5.564100e+04 |
| 10 | 10 | Antigua and Barbuda | ATG | Population, total | SP.POP.TOTL | 5.533900e+04 | 5.614400e+04 | 5.714400e+04 | 5.829400e+04 | 5.952400e+04 | 6.078100e+04 | 6.205900e+04 | 6.336000e+04 | 6.465500e+04 | 6.591000e+04 | 6.709800e+04 | 6.818800e+04 | 6.917600e+04 | 7.006600e+04 | 7.087800e+04 | 7.160900e+04 | 7.228500e+04 | 7.287500e+04 | 7.332400e+04 | 7.352800e+04 | 7.344200e+04 | 7.306600e+04 | 7.244800e+04 | 7.163900e+04 | 7.072500e+04 | 6.978200e+04 | 6.880900e+04 | 6.784500e+04 | 6.705800e+04 | 6.662700e+04 | 6.669600e+04 | 6.730700e+04 | 6.842700e+04 | 6.993800e+04 | 7.171900e+04 | 7.361900e+04 | 7.562800e+04 | 7.773900e+04 | 7.985100e+04 | 8.183100e+04 | 8.358400e+04 | 8.505700e+04 | 8.626600e+04 | 8.729300e+04 | 8.825700e+04 | 8.925300e+04 | 9.030100e+04 | 9.138100e+04 | 9.247800e+04 | 9.358100e+04 | 9.466100e+04 | 9.571900e+04 | 9.677700e+04 | 9.782400e+04 | 9.887500e+04 | 9.992300e+04 | 1.009630e+05 | 1.020120e+05 |
| 11 | 11 | Australia | AUS | Population, total | SP.POP.TOTL | 1.027648e+07 | 1.048300e+07 | 1.074200e+07 | 1.095000e+07 | 1.116700e+07 | 1.138800e+07 | 1.165100e+07 | 1.179900e+07 | 1.200900e+07 | 1.226300e+07 | 1.250700e+07 | 1.293700e+07 | 1.317700e+07 | 1.338000e+07 | 1.372300e+07 | 1.389300e+07 | 1.403300e+07 | 1.419200e+07 | 1.435800e+07 | 1.451400e+07 | 1.469200e+07 | 1.492700e+07 | 1.517800e+07 | 1.536900e+07 | 1.554400e+07 | 1.575800e+07 | 1.601840e+07 | 1.626390e+07 | 1.653220e+07 | 1.681440e+07 | 1.706510e+07 | 1.728400e+07 | 1.749500e+07 | 1.766700e+07 | 1.785500e+07 | 1.807200e+07 | 1.831100e+07 | 1.851700e+07 | 1.871100e+07 | 1.892600e+07 | 1.915300e+07 | 1.941300e+07 | 1.965140e+07 | 1.989540e+07 | 2.012740e+07 | 2.039480e+07 | 2.069790e+07 | 2.082760e+07 | 2.124920e+07 | 2.169170e+07 | 2.203175e+07 | 2.234002e+07 | 2.274248e+07 | 2.314590e+07 | 2.350414e+07 | 2.385078e+07 | 2.421081e+07 | 2.459893e+07 |
| 12 | 12 | Austria | AUT | Population, total | SP.POP.TOTL | 7.047539e+06 | 7.086299e+06 | 7.129864e+06 | 7.175811e+06 | 7.223801e+06 | 7.270889e+06 | 7.322066e+06 | 7.376998e+06 | 7.415403e+06 | 7.441055e+06 | 7.467086e+06 | 7.500482e+06 | 7.544201e+06 | 7.586115e+06 | 7.599038e+06 | 7.578903e+06 | 7.565525e+06 | 7.568430e+06 | 7.562305e+06 | 7.549425e+06 | 7.549433e+06 | 7.568710e+06 | 7.574140e+06 | 7.561910e+06 | 7.561434e+06 | 7.564985e+06 | 7.569794e+06 | 7.574586e+06 | 7.585317e+06 | 7.619567e+06 | 7.677850e+06 | 7.754891e+06 | 7.840709e+06 | 7.905633e+06 | 7.936118e+06 | 7.948278e+06 | 7.959017e+06 | 7.968041e+06 | 7.976789e+06 | 7.992324e+06 | 8.011566e+06 | 8.042293e+06 | 8.081957e+06 | 8.121423e+06 | 8.171966e+06 | 8.227829e+06 | 8.268641e+06 | 8.295487e+06 | 8.321496e+06 | 8.343323e+06 | 8.363404e+06 | 8.391643e+06 | 8.429991e+06 | 8.479823e+06 | 8.546356e+06 | 8.642699e+06 | 8.736668e+06 | 8.809212e+06 |
| 13 | 13 | Azerbaijan | AZE | Population, total | SP.POP.TOTL | 3.895396e+06 | 4.030320e+06 | 4.171425e+06 | 4.315128e+06 | 4.456689e+06 | 4.592610e+06 | 4.721525e+06 | 4.843870e+06 | 4.960235e+06 | 5.071930e+06 | 5.180025e+06 | 5.284532e+06 | 5.385267e+06 | 5.483084e+06 | 5.579077e+06 | 5.674137e+06 | 5.768724e+06 | 5.863134e+06 | 5.957929e+06 | 6.053645e+06 | 6.150738e+06 | 6.249320e+06 | 6.349558e+06 | 6.452076e+06 | 6.557585e+06 | 6.666455e+06 | 6.778633e+06 | 6.893500e+06 | 7.010036e+06 | 7.126891e+06 | 7.159000e+06 | 7.271000e+06 | 7.382000e+06 | 7.495000e+06 | 7.597000e+06 | 7.685000e+06 | 7.763000e+06 | 7.838250e+06 | 7.913000e+06 | 7.982750e+06 | 8.048600e+06 | 8.111200e+06 | 8.171950e+06 | 8.234100e+06 | 8.306500e+06 | 8.391850e+06 | 8.484550e+06 | 8.581300e+06 | 8.763400e+06 | 8.947243e+06 | 9.054332e+06 | 9.173082e+06 | 9.295784e+06 | 9.416801e+06 | 9.535079e+06 | 9.649341e+06 | 9.757812e+06 | 9.862429e+06 |
| 14 | 14 | Burundi | BDI | Population, total | SP.POP.TOTL | 2.786106e+06 | 2.839666e+06 | 2.893669e+06 | 2.949926e+06 | 3.010859e+06 | 3.077876e+06 | 3.152723e+06 | 3.234023e+06 | 3.316233e+06 | 3.391753e+06 | 3.455606e+06 | 3.505391e+06 | 3.544047e+06 | 3.578490e+06 | 3.618585e+06 | 3.671494e+06 | 3.739659e+06 | 3.821194e+06 | 3.913768e+06 | 4.013310e+06 | 4.116817e+06 | 4.223195e+06 | 4.333386e+06 | 4.448728e+06 | 4.571292e+06 | 4.702066e+06 | 4.841565e+06 | 4.987736e+06 | 5.135956e+06 | 5.280024e+06 | 5.415415e+06 | 5.542048e+06 | 5.661139e+06 | 5.771398e+06 | 5.871607e+06 | 5.962058e+06 | 6.041112e+06 | 6.112097e+06 | 6.186352e+06 | 6.278940e+06 | 6.400706e+06 | 6.555829e+06 | 6.741569e+06 | 6.953113e+06 | 7.182451e+06 | 7.423289e+06 | 7.675338e+06 | 7.939573e+06 | 8.212264e+06 | 8.489031e+06 | 8.766930e+06 | 9.043508e+06 | 9.319710e+06 | 9.600186e+06 | 9.891790e+06 | 1.019927e+07 | 1.052412e+07 | 1.086424e+07 |
| 15 | 15 | Belgium | BEL | Population, total | SP.POP.TOTL | 9.153489e+06 | 9.183948e+06 | 9.220578e+06 | 9.289770e+06 | 9.378113e+06 | 9.463667e+06 | 9.527807e+06 | 9.580991e+06 | 9.618756e+06 | 9.646032e+06 | 9.655549e+06 | 9.673162e+06 | 9.711115e+06 | 9.741720e+06 | 9.772419e+06 | 9.800700e+06 | 9.818227e+06 | 9.830358e+06 | 9.839534e+06 | 9.848382e+06 | 9.859242e+06 | 9.858982e+06 | 9.856303e+06 | 9.855520e+06 | 9.855372e+06 | 9.858308e+06 | 9.861823e+06 | 9.870234e+06 | 9.901664e+06 | 9.937697e+06 | 9.967379e+06 | 1.000449e+07 | 1.004516e+07 | 1.008448e+07 | 1.011560e+07 | 1.013681e+07 | 1.015664e+07 | 1.018124e+07 | 1.020301e+07 | 1.022642e+07 | 1.025125e+07 | 1.028657e+07 | 1.033278e+07 | 1.037613e+07 | 1.042114e+07 | 1.047862e+07 | 1.054796e+07 | 1.062570e+07 | 1.070997e+07 | 1.079649e+07 | 1.089559e+07 | 1.104774e+07 | 1.112825e+07 | 1.118282e+07 | 1.120906e+07 | 1.127420e+07 | 1.133142e+07 | 1.137207e+07 |
| 16 | 16 | Benin | BEN | Population, total | SP.POP.TOTL | 2.431622e+06 | 2.465867e+06 | 2.502896e+06 | 2.542859e+06 | 2.585965e+06 | 2.632356e+06 | 2.682159e+06 | 2.735307e+06 | 2.791590e+06 | 2.850661e+06 | 2.912340e+06 | 2.976572e+06 | 3.043567e+06 | 3.113675e+06 | 3.187412e+06 | 3.265165e+06 | 3.347173e+06 | 3.433439e+06 | 3.523938e+06 | 3.618526e+06 | 3.717165e+06 | 3.820128e+06 | 3.927714e+06 | 4.039949e+06 | 4.156819e+06 | 4.278501e+06 | 4.404506e+06 | 4.535263e+06 | 4.672852e+06 | 4.820016e+06 | 4.978496e+06 | 5.149499e+06 | 5.331803e+06 | 5.521763e+06 | 5.714220e+06 | 5.905558e+06 | 6.094259e+06 | 6.281639e+06 | 6.470265e+06 | 6.664098e+06 | 6.865951e+06 | 7.076733e+06 | 7.295394e+06 | 7.520555e+06 | 7.750004e+06 | 7.982225e+06 | 8.216896e+06 | 8.454791e+06 | 8.696916e+06 | 8.944706e+06 | 9.199259e+06 | 9.460802e+06 | 9.729160e+06 | 1.000445e+07 | 1.028671e+07 | 1.057595e+07 | 1.087230e+07 | 1.117569e+07 |
| 17 | 17 | Burkina Faso | BFA | Population, total | SP.POP.TOTL | 4.829288e+06 | 4.894580e+06 | 4.960326e+06 | 5.027821e+06 | 5.098890e+06 | 5.174870e+06 | 5.256363e+06 | 5.343019e+06 | 5.434041e+06 | 5.528174e+06 | 5.624600e+06 | 5.723381e+06 | 5.825173e+06 | 5.930483e+06 | 6.040041e+06 | 6.154545e+06 | 6.274037e+06 | 6.398935e+06 | 6.530819e+06 | 6.671656e+06 | 6.822843e+06 | 6.985160e+06 | 7.158255e+06 | 7.340905e+06 | 7.531242e+06 | 7.727907e+06 | 7.930694e+06 | 8.140073e+06 | 8.356305e+06 | 8.579823e+06 | 8.811034e+06 | 9.050084e+06 | 9.297113e+06 | 9.552476e+06 | 9.816588e+06 | 1.008988e+07 | 1.037274e+07 | 1.066555e+07 | 1.096872e+07 | 1.128270e+07 | 1.160794e+07 | 1.194459e+07 | 1.229310e+07 | 1.265462e+07 | 1.303057e+07 | 1.342193e+07 | 1.382918e+07 | 1.425202e+07 | 1.468973e+07 | 1.514110e+07 | 1.560522e+07 | 1.608190e+07 | 1.657122e+07 | 1.707272e+07 | 1.758598e+07 | 1.811062e+07 | 1.864643e+07 | 1.919338e+07 |
| 18 | 18 | Bangladesh | BGD | Population, total | SP.POP.TOTL | 4.819975e+07 | 4.959280e+07 | 5.103014e+07 | 5.253242e+07 | 5.412910e+07 | 5.583404e+07 | 5.767299e+07 | 5.962067e+07 | 6.157947e+07 | 6.341739e+07 | 6.504777e+07 | 6.642474e+07 | 6.759747e+07 | 6.869118e+07 | 6.988442e+07 | 7.130592e+07 | 7.299914e+07 | 7.492590e+07 | 7.703385e+07 | 7.923678e+07 | 8.147086e+07 | 8.372127e+07 | 8.600733e+07 | 8.833824e+07 | 9.073236e+07 | 9.319986e+07 | 9.574243e+07 | 9.834381e+07 | 1.009753e+08 | 1.035992e+08 | 1.061886e+08 | 1.087274e+08 | 1.112219e+08 | 1.136951e+08 | 1.161823e+08 | 1.187069e+08 | 1.212696e+08 | 1.238546e+08 | 1.264480e+08 | 1.290297e+08 | 1.315812e+08 | 1.341072e+08 | 1.366007e+08 | 1.390190e+08 | 1.413075e+08 | 1.434311e+08 | 1.453680e+08 | 1.471392e+08 | 1.488058e+08 | 1.504547e+08 | 1.521491e+08 | 1.539119e+08 | 1.557271e+08 | 1.575713e+08 | 1.594053e+08 | 1.612009e+08 | 1.629516e+08 | 1.646698e+08 |
| 19 | 19 | Bulgaria | BGR | Population, total | SP.POP.TOTL | 7.867374e+06 | 7.943118e+06 | 8.012946e+06 | 8.078145e+06 | 8.144340e+06 | 8.204168e+06 | 8.258057e+06 | 8.310226e+06 | 8.369603e+06 | 8.434172e+06 | 8.489574e+06 | 8.536395e+06 | 8.576200e+06 | 8.620967e+06 | 8.678745e+06 | 8.720742e+06 | 8.758599e+06 | 8.804183e+06 | 8.814032e+06 | 8.825940e+06 | 8.861535e+06 | 8.891117e+06 | 8.917457e+06 | 8.939738e+06 | 8.960679e+06 | 8.960547e+06 | 8.958171e+06 | 8.971359e+06 | 8.981446e+06 | 8.876972e+06 | 8.718289e+06 | 8.632367e+06 | 8.540164e+06 | 8.472313e+06 | 8.443591e+06 | 8.406067e+06 | 8.362826e+06 | 8.312068e+06 | 8.256786e+06 | 8.210624e+06 | 8.170172e+06 | 8.009142e+06 | 7.837161e+06 | 7.775327e+06 | 7.716860e+06 | 7.658972e+06 | 7.601022e+06 | 7.545338e+06 | 7.492561e+06 | 7.444443e+06 | 7.395599e+06 | 7.348328e+06 | 7.305888e+06 | 7.265115e+06 | 7.223938e+06 | 7.177991e+06 | 7.127822e+06 | 7.075991e+06 |
| 20 | 20 | Bahrain | BHR | Population, total | SP.POP.TOTL | 1.624270e+05 | 1.678940e+05 | 1.731440e+05 | 1.781400e+05 | 1.828870e+05 | 1.874310e+05 | 1.917800e+05 | 1.960630e+05 | 2.006530e+05 | 2.060430e+05 | 2.126050e+05 | 2.203120e+05 | 2.291550e+05 | 2.395270e+05 | 2.519110e+05 | 2.665430e+05 | 2.837520e+05 | 3.031750e+05 | 3.234730e+05 | 3.427980e+05 | 3.598880e+05 | 3.741200e+05 | 3.859500e+05 | 3.964540e+05 | 4.072270e+05 | 4.194300e+05 | 4.334820e+05 | 4.489730e+05 | 4.652020e+05 | 4.810900e+05 | 4.959310e+05 | 5.097650e+05 | 5.230870e+05 | 5.362130e+05 | 5.495880e+05 | 5.636990e+05 | 5.786680e+05 | 5.949300e+05 | 6.137020e+05 | 6.365450e+05 | 6.646140e+05 | 6.975490e+05 | 7.351480e+05 | 7.787110e+05 | 8.298480e+05 | 8.891680e+05 | 9.584140e+05 | 1.035891e+06 | 1.114590e+06 | 1.185029e+06 | 1.240862e+06 | 1.278269e+06 | 1.300217e+06 | 1.315411e+06 | 1.336397e+06 | 1.371855e+06 | 1.425171e+06 | 1.492584e+06 |
| 21 | 21 | Bahamas, The | BHS | Population, total | SP.POP.TOTL | 1.095280e+05 | 1.151080e+05 | 1.210830e+05 | 1.273330e+05 | 1.336980e+05 | 1.400540e+05 | 1.463660e+05 | 1.526090e+05 | 1.586270e+05 | 1.642480e+05 | 1.693540e+05 | 1.738630e+05 | 1.778390e+05 | 1.814880e+05 | 1.850990e+05 | 1.888820e+05 | 1.929020e+05 | 1.971110e+05 | 2.015130e+05 | 2.060320e+05 | 2.106610e+05 | 2.153960e+05 | 2.202750e+05 | 2.251870e+05 | 2.300150e+05 | 2.346870e+05 | 2.391310e+05 | 2.433930e+05 | 2.475790e+05 | 2.518490e+05 | 2.563360e+05 | 2.611160e+05 | 2.661340e+05 | 2.711650e+05 | 2.758950e+05 | 2.801500e+05 | 2.837900e+05 | 2.869700e+05 | 2.900600e+05 | 2.935720e+05 | 2.978900e+05 | 3.031350e+05 | 3.091570e+05 | 3.157460e+05 | 3.225260e+05 | 3.292490e+05 | 3.358300e+05 | 3.423280e+05 | 3.486760e+05 | 3.548560e+05 | 3.608320e+05 | 3.665680e+05 | 3.720390e+05 | 3.772400e+05 | 3.821690e+05 | 3.868380e+05 | 3.912320e+05 | 3.953610e+05 |
| 22 | 22 | Bosnia and Herzegovina | BIH | Population, total | SP.POP.TOTL | 3.225668e+06 | 3.288602e+06 | 3.353226e+06 | 3.417574e+06 | 3.478995e+06 | 3.535640e+06 | 3.586634e+06 | 3.632669e+06 | 3.675452e+06 | 3.717466e+06 | 3.760527e+06 | 3.805285e+06 | 3.851151e+06 | 3.897255e+06 | 3.942223e+06 | 3.985103e+06 | 4.025265e+06 | 4.063191e+06 | 4.100350e+06 | 4.138819e+06 | 4.179855e+06 | 4.222511e+06 | 4.265310e+06 | 4.308106e+06 | 4.350746e+06 | 4.392130e+06 | 4.435504e+06 | 4.478519e+06 | 4.508056e+06 | 4.506653e+06 | 4.463422e+06 | 4.371603e+06 | 4.239154e+06 | 4.087999e+06 | 3.948816e+06 | 3.843712e+06 | 3.780378e+06 | 3.752431e+06 | 3.750485e+06 | 3.759118e+06 | 3.766706e+06 | 3.771284e+06 | 3.775807e+06 | 3.779247e+06 | 3.781287e+06 | 3.781530e+06 | 3.779468e+06 | 3.774000e+06 | 3.763599e+06 | 3.746561e+06 | 3.722084e+06 | 3.688865e+06 | 3.648200e+06 | 3.604999e+06 | 3.566002e+06 | 3.535961e+06 | 3.516816e+06 | 3.507017e+06 |
| 23 | 23 | Belarus | BLR | Population, total | SP.POP.TOTL | 8.198000e+06 | 8.271216e+06 | 8.351928e+06 | 8.437232e+06 | 8.524224e+06 | 8.610000e+06 | 8.696496e+06 | 8.785648e+06 | 8.874552e+06 | 8.960304e+06 | 9.040000e+06 | 9.115576e+06 | 9.188968e+06 | 9.257272e+06 | 9.317584e+06 | 9.367000e+06 | 9.411000e+06 | 9.463000e+06 | 9.525000e+06 | 9.584000e+06 | 9.643000e+06 | 9.710000e+06 | 9.776000e+06 | 9.843000e+06 | 9.910000e+06 | 9.975000e+06 | 1.004300e+07 | 1.011100e+07 | 1.014000e+07 | 1.017000e+07 | 1.018900e+07 | 1.019400e+07 | 1.021600e+07 | 1.023900e+07 | 1.022700e+07 | 1.019400e+07 | 1.016000e+07 | 1.011700e+07 | 1.006900e+07 | 1.002674e+07 | 9.979610e+06 | 9.928549e+06 | 9.865548e+06 | 9.796749e+06 | 9.730146e+06 | 9.663915e+06 | 9.604924e+06 | 9.560953e+06 | 9.527985e+06 | 9.506765e+06 | 9.490583e+06 | 9.473172e+06 | 9.464495e+06 | 9.465997e+06 | 9.474511e+06 | 9.489616e+06 | 9.501534e+06 | 9.507875e+06 |
| 24 | 24 | Belize | BLZ | Population, total | SP.POP.TOTL | 9.206400e+04 | 9.470300e+04 | 9.738400e+04 | 1.001640e+05 | 1.030690e+05 | 1.061190e+05 | 1.093470e+05 | 1.126920e+05 | 1.160610e+05 | 1.192610e+05 | 1.221820e+05 | 1.247930e+05 | 1.271500e+05 | 1.292940e+05 | 1.313070e+05 | 1.332600e+05 | 1.351470e+05 | 1.369890e+05 | 1.389650e+05 | 1.413050e+05 | 1.441550e+05 | 1.475660e+05 | 1.515000e+05 | 1.558220e+05 | 1.603470e+05 | 1.649210e+05 | 1.695680e+05 | 1.743200e+05 | 1.790280e+05 | 1.834690e+05 | 1.875520e+05 | 1.911260e+05 | 1.943170e+05 | 1.976160e+05 | 2.016740e+05 | 2.069630e+05 | 2.136760e+05 | 2.216060e+05 | 2.302840e+05 | 2.390260e+05 | 2.473150e+05 | 2.549840e+05 | 2.622060e+05 | 2.691300e+05 | 2.760890e+05 | 2.832770e+05 | 2.907470e+05 | 2.984070e+05 | 3.061650e+05 | 3.139290e+05 | 3.216080e+05 | 3.291920e+05 | 3.367010e+05 | 3.441810e+05 | 3.516940e+05 | 3.592880e+05 | 3.669540e+05 | 3.746810e+05 |
| 25 | 25 | Bermuda | BMU | Population, total | SP.POP.TOTL | 4.440000e+04 | 4.550000e+04 | 4.660000e+04 | 4.770000e+04 | 4.890000e+04 | 5.010000e+04 | 5.100000e+04 | 5.200000e+04 | 5.300000e+04 | 5.400000e+04 | 5.500000e+04 | 5.460000e+04 | 5.420000e+04 | 5.380000e+04 | 5.340000e+04 | 5.300000e+04 | 5.320000e+04 | 5.340000e+04 | 5.360000e+04 | 5.380000e+04 | 5.467000e+04 | 5.505000e+04 | 5.544900e+04 | 5.593000e+04 | 5.642300e+04 | 5.689800e+04 | 5.738200e+04 | 5.784900e+04 | 5.834700e+04 | 5.884100e+04 | 5.932600e+04 | 5.902100e+04 | 5.859500e+04 | 5.891000e+04 | 5.932000e+04 | 5.974600e+04 | 6.012900e+04 | 6.049700e+04 | 6.094300e+04 | 6.128500e+04 | 6.183300e+04 | 6.250400e+04 | 6.291200e+04 | 6.332500e+04 | 6.374000e+04 | 6.415400e+04 | 6.452300e+04 | 6.488800e+04 | 6.527300e+04 | 6.563600e+04 | 6.512400e+04 | 6.456400e+04 | 6.479800e+04 | 6.500100e+04 | 6.513900e+04 | 6.523900e+04 | 6.534100e+04 | 6.544100e+04 |
| 26 | 26 | Bolivia | BOL | Population, total | SP.POP.TOTL | 3.693449e+06 | 3.764813e+06 | 3.838097e+06 | 3.913395e+06 | 3.990857e+06 | 4.070590e+06 | 4.152668e+06 | 4.237125e+06 | 4.324064e+06 | 4.413590e+06 | 4.505778e+06 | 4.600591e+06 | 4.698083e+06 | 4.798509e+06 | 4.902168e+06 | 5.009257e+06 | 5.119833e+06 | 5.233677e+06 | 5.350322e+06 | 5.469123e+06 | 5.589575e+06 | 5.711599e+06 | 5.835182e+06 | 5.959960e+06 | 6.085496e+06 | 6.211550e+06 | 6.337893e+06 | 6.464732e+06 | 6.592787e+06 | 6.723046e+06 | 6.856244e+06 | 6.992521e+06 | 7.131707e+06 | 7.273825e+06 | 7.418861e+06 | 7.566714e+06 | 7.717443e+06 | 7.870855e+06 | 8.026254e+06 | 8.182712e+06 | 8.339512e+06 | 8.496375e+06 | 8.653345e+06 | 8.810420e+06 | 8.967741e+06 | 9.125409e+06 | 9.283334e+06 | 9.441444e+06 | 9.599855e+06 | 9.758748e+06 | 9.918242e+06 | 1.007834e+07 | 1.023900e+07 | 1.040026e+07 | 1.056216e+07 | 1.072470e+07 | 1.088788e+07 | 1.105160e+07 |
| 27 | 27 | Brazil | BRA | Population, total | SP.POP.TOTL | 7.220755e+07 | 7.435176e+07 | 7.657325e+07 | 7.885402e+07 | 8.116865e+07 | 8.349802e+07 | 8.583780e+07 | 8.819138e+07 | 9.055706e+07 | 9.293507e+07 | 9.532679e+07 | 9.772896e+07 | 1.001436e+08 | 1.025843e+08 | 1.050694e+08 | 1.076121e+08 | 1.102131e+08 | 1.128679e+08 | 1.155777e+08 | 1.183426e+08 | 1.211598e+08 | 1.240309e+08 | 1.269474e+08 | 1.298823e+08 | 1.328007e+08 | 1.356763e+08 | 1.384995e+08 | 1.412735e+08 | 1.440015e+08 | 1.466920e+08 | 1.493521e+08 | 1.519766e+08 | 1.545643e+08 | 1.571327e+08 | 1.597051e+08 | 1.622966e+08 | 1.649133e+08 | 1.675452e+08 | 1.701706e+08 | 1.727592e+08 | 1.752876e+08 | 1.777507e+08 | 1.801510e+08 | 1.824821e+08 | 1.847385e+08 | 1.869174e+08 | 1.890124e+08 | 1.910266e+08 | 1.929790e+08 | 1.948960e+08 | 1.967963e+08 | 1.986867e+08 | 2.005610e+08 | 2.024086e+08 | 2.042131e+08 | 2.059621e+08 | 2.076529e+08 | 2.092883e+08 |
| 28 | 28 | Barbados | BRB | Population, total | SP.POP.TOTL | 2.309390e+05 | 2.316780e+05 | 2.325860e+05 | 2.335870e+05 | 2.345470e+05 | 2.353740e+05 | 2.360440e+05 | 2.366210e+05 | 2.371990e+05 | 2.379130e+05 | 2.388480e+05 | 2.400350e+05 | 2.414410e+05 | 2.429760e+05 | 2.445390e+05 | 2.460340e+05 | 2.474440e+05 | 2.487840e+05 | 2.500320e+05 | 2.511770e+05 | 2.521940e+05 | 2.530800e+05 | 2.538410e+05 | 2.545180e+05 | 2.551930e+05 | 2.559240e+05 | 2.567360e+05 | 2.576110e+05 | 2.585270e+05 | 2.594580e+05 | 2.603740e+05 | 2.612750e+05 | 2.621840e+05 | 2.630890e+05 | 2.640150e+05 | 2.649590e+05 | 2.659420e+05 | 2.669450e+05 | 2.679500e+05 | 2.689220e+05 | 2.698470e+05 | 2.706850e+05 | 2.714780e+05 | 2.722580e+05 | 2.730910e+05 | 2.740090e+05 | 2.750390e+05 | 2.761500e+05 | 2.773190e+05 | 2.784700e+05 | 2.795690e+05 | 2.806010e+05 | 2.815850e+05 | 2.825090e+05 | 2.833850e+05 | 2.842170e+05 | 2.849960e+05 | 2.857190e+05 |
| 29 | 29 | Brunei Darussalam | BRN | Population, total | SP.POP.TOTL | 8.174500e+04 | 8.559600e+04 | 8.951600e+04 | 9.357600e+04 | 9.784800e+04 | 1.024250e+05 | 1.073160e+05 | 1.124940e+05 | 1.179500e+05 | 1.236530e+05 | 1.295830e+05 | 1.357260e+05 | 1.420730e+05 | 1.485600e+05 | 1.551090e+05 | 1.616710e+05 | 1.682240e+05 | 1.747730e+05 | 1.812570e+05 | 1.876560e+05 | 1.939490e+05 | 2.000850e+05 | 2.061280e+05 | 2.121360e+05 | 2.182270e+05 | 2.245120e+05 | 2.309720e+05 | 2.376220e+05 | 2.444580e+05 | 2.515140e+05 | 2.587850e+05 | 2.662740e+05 | 2.739630e+05 | 2.817510e+05 | 2.895250e+05 | 2.971920e+05 | 3.046990e+05 | 3.120380e+05 | 3.192220e+05 | 3.262890e+05 | 3.332410e+05 | 3.401170e+05 | 3.468670e+05 | 3.533890e+05 | 3.595230e+05 | 3.651580e+05 | 3.702500e+05 | 3.748640e+05 | 3.792520e+05 | 3.837720e+05 | 3.886620e+05 | 3.940130e+05 | 3.997480e+05 | 4.057160e+05 | 4.117040e+05 | 4.175420e+05 | 4.231960e+05 | 4.286970e+05 |
| 30 | 30 | Bhutan | BTN | Population, total | SP.POP.TOTL | 2.232880e+05 | 2.289180e+05 | 2.347060e+05 | 2.407780e+05 | 2.473250e+05 | 2.544640e+05 | 2.622440e+05 | 2.706220e+05 | 2.795150e+05 | 2.887740e+05 | 2.983010e+05 | 3.080530e+05 | 3.180450e+05 | 3.283120e+05 | 3.389430e+05 | 3.499820e+05 | 3.614550e+05 | 3.733240e+05 | 3.853840e+05 | 3.973900e+05 | 4.091720e+05 | 4.203800e+05 | 4.310500e+05 | 4.418470e+05 | 4.537200e+05 | 4.671780e+05 | 4.829520e+05 | 5.004370e+05 | 5.172730e+05 | 5.302570e+05 | 5.372800e+05 | 5.372840e+05 | 5.315250e+05 | 5.231170e+05 | 5.165030e+05 | 5.148770e+05 | 5.192820e+05 | 5.287540e+05 | 5.421550e+05 | 5.575430e+05 | 5.734160e+05 | 5.896000e+05 | 6.063990e+05 | 6.234340e+05 | 6.402820e+05 | 6.566390e+05 | 6.722280e+05 | 6.869580e+05 | 7.009500e+05 | 7.144580e+05 | 7.276410e+05 | 7.405100e+05 | 7.529670e+05 | 7.649610e+05 | 7.764480e+05 | 7.873860e+05 | 7.977650e+05 | 8.076100e+05 |
| 31 | 31 | Botswana | BWA | Population, total | SP.POP.TOTL | 5.245520e+05 | 5.372490e+05 | 5.508400e+05 | 5.653530e+05 | 5.807990e+05 | 5.971900e+05 | 6.146130e+05 | 6.331540e+05 | 6.528430e+05 | 6.736400e+05 | 6.955970e+05 | 7.186390e+05 | 7.428350e+05 | 7.685120e+05 | 7.960950e+05 | 8.258400e+05 | 8.578550e+05 | 8.919260e+05 | 9.275850e+05 | 9.641660e+05 | 1.001158e+06 | 1.038397e+06 | 1.075889e+06 | 1.113539e+06 | 1.151292e+06 | 1.189114e+06 | 1.226810e+06 | 1.264314e+06 | 1.301818e+06 | 1.339624e+06 | 1.377912e+06 | 1.416731e+06 | 1.455833e+06 | 1.494693e+06 | 1.532622e+06 | 1.569094e+06 | 1.604060e+06 | 1.637635e+06 | 1.669625e+06 | 1.699862e+06 | 1.728340e+06 | 1.754935e+06 | 1.779953e+06 | 1.804339e+06 | 1.829330e+06 | 1.855852e+06 | 1.884238e+06 | 1.914414e+06 | 1.946351e+06 | 1.979882e+06 | 2.014866e+06 | 2.051339e+06 | 2.089315e+06 | 2.128507e+06 | 2.168573e+06 | 2.209197e+06 | 2.250260e+06 | 2.291661e+06 |
| 32 | 32 | Central African Republic | CAF | Population, total | SP.POP.TOTL | 1.503508e+06 | 1.529227e+06 | 1.556661e+06 | 1.585763e+06 | 1.616516e+06 | 1.648833e+06 | 1.682885e+06 | 1.718603e+06 | 1.755344e+06 | 1.792220e+06 | 1.828709e+06 | 1.864598e+06 | 1.900317e+06 | 1.936841e+06 | 1.975521e+06 | 2.017372e+06 | 2.062405e+06 | 2.110457e+06 | 2.162249e+06 | 2.218575e+06 | 2.279821e+06 | 2.346797e+06 | 2.418844e+06 | 2.493135e+06 | 2.565803e+06 | 2.634232e+06 | 2.696982e+06 | 2.755244e+06 | 2.812244e+06 | 2.872668e+06 | 2.939780e+06 | 3.014624e+06 | 3.095807e+06 | 3.181222e+06 | 3.267670e+06 | 3.352767e+06 | 3.435821e+06 | 3.517309e+06 | 3.597385e+06 | 3.676508e+06 | 3.754986e+06 | 3.832203e+06 | 3.907612e+06 | 3.981665e+06 | 4.055036e+06 | 4.127910e+06 | 4.201758e+06 | 4.275800e+06 | 4.345386e+06 | 4.404230e+06 | 4.448525e+06 | 4.476153e+06 | 4.490416e+06 | 4.499653e+06 | 4.515392e+06 | 4.546100e+06 | 4.594621e+06 | 4.659080e+06 |
| 33 | 33 | Canada | CAN | Population, total | SP.POP.TOTL | 1.790901e+07 | 1.827100e+07 | 1.861400e+07 | 1.896400e+07 | 1.932500e+07 | 1.967800e+07 | 2.004800e+07 | 2.041200e+07 | 2.074400e+07 | 2.102800e+07 | 2.132400e+07 | 2.164554e+07 | 2.199363e+07 | 2.236941e+07 | 2.277409e+07 | 2.320900e+07 | 2.351800e+07 | 2.379600e+07 | 2.403600e+07 | 2.427700e+07 | 2.459300e+07 | 2.490000e+07 | 2.520200e+07 | 2.545600e+07 | 2.570200e+07 | 2.594200e+07 | 2.620400e+07 | 2.655000e+07 | 2.689500e+07 | 2.737900e+07 | 2.779100e+07 | 2.817168e+07 | 2.851960e+07 | 2.883341e+07 | 2.911191e+07 | 2.935400e+07 | 2.967190e+07 | 2.998720e+07 | 3.024790e+07 | 3.049920e+07 | 3.076970e+07 | 3.108190e+07 | 3.136200e+07 | 3.167600e+07 | 3.199500e+07 | 3.231200e+07 | 3.257050e+07 | 3.288793e+07 | 3.324577e+07 | 3.362857e+07 | 3.400527e+07 | 3.434278e+07 | 3.475054e+07 | 3.515237e+07 | 3.553535e+07 | 3.583251e+07 | 3.626460e+07 | 3.670808e+07 |
| 34 | 34 | Central Europe and the Baltics | CEB | Population, total | SP.POP.TOTL | 9.140158e+07 | 9.223712e+07 | 9.301489e+07 | 9.384575e+07 | 9.472260e+07 | 9.544706e+07 | 9.614864e+07 | 9.704359e+07 | 9.788239e+07 | 9.860214e+07 | 9.913330e+07 | 9.963898e+07 | 1.003636e+08 | 1.011205e+08 | 1.019463e+08 | 1.028625e+08 | 1.037701e+08 | 1.045893e+08 | 1.053043e+08 | 1.059248e+08 | 1.065649e+08 | 1.071880e+08 | 1.077708e+08 | 1.083269e+08 | 1.088532e+08 | 1.093603e+08 | 1.098471e+08 | 1.102967e+08 | 1.106885e+08 | 1.108014e+08 | 1.107458e+08 | 1.102904e+08 | 1.100056e+08 | 1.100815e+08 | 1.100196e+08 | 1.099132e+08 | 1.095631e+08 | 1.094591e+08 | 1.092072e+08 | 1.091024e+08 | 1.084055e+08 | 1.078004e+08 | 1.070976e+08 | 1.067608e+08 | 1.064661e+08 | 1.061738e+08 | 1.059013e+08 | 1.055045e+08 | 1.051267e+08 | 1.049244e+08 | 1.045438e+08 | 1.041740e+08 | 1.039353e+08 | 1.037137e+08 | 1.034962e+08 | 1.032578e+08 | 1.029943e+08 | 1.027271e+08 |
| 35 | 35 | Switzerland | CHE | Population, total | SP.POP.TOTL | 5.327827e+06 | 5.434294e+06 | 5.573815e+06 | 5.694247e+06 | 5.789228e+06 | 5.856472e+06 | 5.918002e+06 | 5.991785e+06 | 6.067714e+06 | 6.136387e+06 | 6.180877e+06 | 6.213399e+06 | 6.260956e+06 | 6.307347e+06 | 6.341405e+06 | 6.338632e+06 | 6.302504e+06 | 6.281174e+06 | 6.281738e+06 | 6.294365e+06 | 6.319408e+06 | 6.354074e+06 | 6.391309e+06 | 6.418773e+06 | 6.441865e+06 | 6.470365e+06 | 6.504124e+06 | 6.545106e+06 | 6.593386e+06 | 6.646912e+06 | 6.715519e+06 | 6.799978e+06 | 6.875364e+06 | 6.938265e+06 | 6.993795e+06 | 7.040687e+06 | 7.071850e+06 | 7.088906e+06 | 7.110001e+06 | 7.143991e+06 | 7.184250e+06 | 7.229854e+06 | 7.284753e+06 | 7.339001e+06 | 7.389625e+06 | 7.437115e+06 | 7.483934e+06 | 7.551117e+06 | 7.647675e+06 | 7.743831e+06 | 7.824909e+06 | 7.912398e+06 | 7.996861e+06 | 8.089346e+06 | 8.188649e+06 | 8.282396e+06 | 8.373338e+06 | 8.466017e+06 |
| 36 | 36 | Channel Islands | CHI | Population, total | SP.POP.TOTL | 1.094200e+05 | 1.103990e+05 | 1.114570e+05 | 1.125950e+05 | 1.137730e+05 | 1.149950e+05 | 1.162270e+05 | 1.174740e+05 | 1.187260e+05 | 1.199720e+05 | 1.211970e+05 | 1.224130e+05 | 1.236140e+05 | 1.247250e+05 | 1.256820e+05 | 1.264150e+05 | 1.269020e+05 | 1.271830e+05 | 1.273900e+05 | 1.276920e+05 | 1.282120e+05 | 1.289810e+05 | 1.299790e+05 | 1.311560e+05 | 1.324530e+05 | 1.338080e+05 | 1.352300e+05 | 1.367160e+05 | 1.381870e+05 | 1.395300e+05 | 1.406710e+05 | 1.415680e+05 | 1.422580e+05 | 1.428190e+05 | 1.433840e+05 | 1.440460e+05 | 1.448290e+05 | 1.457150e+05 | 1.466710e+05 | 1.476870e+05 | 1.487250e+05 | 1.497930e+05 | 1.509010e+05 | 1.520380e+05 | 1.531700e+05 | 1.542940e+05 | 1.554110e+05 | 1.565130e+05 | 1.575810e+05 | 1.586030e+05 | 1.595810e+05 | 1.604970e+05 | 1.613580e+05 | 1.621800e+05 | 1.629690e+05 | 1.637580e+05 | 1.645410e+05 | 1.653140e+05 |
| 37 | 37 | Chile | CHL | Population, total | SP.POP.TOTL | 7.716625e+06 | 7.890156e+06 | 8.067136e+06 | 8.247415e+06 | 8.430838e+06 | 8.617077e+06 | 8.806137e+06 | 8.997325e+06 | 9.188822e+06 | 9.378243e+06 | 9.563865e+06 | 9.745189e+06 | 9.922558e+06 | 1.009630e+07 | 1.026706e+07 | 1.043553e+07 | 1.060184e+07 | 1.076642e+07 | 1.093078e+07 | 1.109687e+07 | 1.126623e+07 | 1.143914e+07 | 1.161584e+07 | 1.179753e+07 | 1.198566e+07 | 1.218103e+07 | 1.238411e+07 | 1.259414e+07 | 1.280902e+07 | 1.302580e+07 | 1.324213e+07 | 1.345724e+07 | 1.367103e+07 | 1.388267e+07 | 1.409139e+07 | 1.429661e+07 | 1.449783e+07 | 1.469484e+07 | 1.488776e+07 | 1.507695e+07 | 1.526275e+07 | 1.544497e+07 | 1.562364e+07 | 1.579954e+07 | 1.597378e+07 | 1.614706e+07 | 1.631979e+07 | 1.649169e+07 | 1.666194e+07 | 1.682944e+07 | 1.699335e+07 | 1.715336e+07 | 1.730975e+07 | 1.746298e+07 | 1.761380e+07 | 1.776268e+07 | 1.790975e+07 | 1.805473e+07 |
| 38 | 38 | China | CHN | Population, total | SP.POP.TOTL | 6.670700e+08 | 6.603300e+08 | 6.657700e+08 | 6.823350e+08 | 6.983550e+08 | 7.151850e+08 | 7.354000e+08 | 7.545500e+08 | 7.745100e+08 | 7.960250e+08 | 8.183150e+08 | 8.411050e+08 | 8.620300e+08 | 8.819400e+08 | 9.003500e+08 | 9.163950e+08 | 9.306850e+08 | 9.434550e+08 | 9.561650e+08 | 9.690050e+08 | 9.812350e+08 | 9.938850e+08 | 1.008630e+09 | 1.023310e+09 | 1.036825e+09 | 1.051040e+09 | 1.066790e+09 | 1.084035e+09 | 1.101630e+09 | 1.118650e+09 | 1.135185e+09 | 1.150780e+09 | 1.164970e+09 | 1.178440e+09 | 1.191835e+09 | 1.204855e+09 | 1.217550e+09 | 1.230075e+09 | 1.241935e+09 | 1.252735e+09 | 1.262645e+09 | 1.271850e+09 | 1.280400e+09 | 1.288400e+09 | 1.296075e+09 | 1.303720e+09 | 1.311020e+09 | 1.317885e+09 | 1.324655e+09 | 1.331260e+09 | 1.337705e+09 | 1.344130e+09 | 1.350695e+09 | 1.357380e+09 | 1.364270e+09 | 1.371220e+09 | 1.378665e+09 | 1.386395e+09 |
| 39 | 39 | Cote d'Ivoire | CIV | Population, total | SP.POP.TOTL | 3.558988e+06 | 3.694205e+06 | 3.841071e+06 | 3.996941e+06 | 4.157965e+06 | 4.321791e+06 | 4.487204e+06 | 4.656353e+06 | 4.834279e+06 | 5.027971e+06 | 5.242395e+06 | 5.479338e+06 | 5.737281e+06 | 6.013862e+06 | 6.305287e+06 | 6.608609e+06 | 6.922982e+06 | 7.248828e+06 | 7.585914e+06 | 7.934279e+06 | 8.293675e+06 | 8.664057e+06 | 9.044473e+06 | 9.432731e+06 | 9.826055e+06 | 1.022256e+07 | 1.062027e+07 | 1.101965e+07 | 1.142426e+07 | 1.183924e+07 | 1.226775e+07 | 1.271001e+07 | 1.316302e+07 | 1.362273e+07 | 1.408361e+07 | 1.454082e+07 | 1.499525e+07 | 1.544599e+07 | 1.588455e+07 | 1.630023e+07 | 1.668656e+07 | 1.704015e+07 | 1.736652e+07 | 1.767936e+07 | 1.799774e+07 | 1.833630e+07 | 1.869944e+07 | 1.908594e+07 | 1.949799e+07 | 1.993637e+07 | 2.040133e+07 | 2.089531e+07 | 2.141860e+07 | 2.196631e+07 | 2.253135e+07 | 2.310847e+07 | 2.369592e+07 | 2.429475e+07 |
| 40 | 40 | Cameroon | CMR | Population, total | SP.POP.TOTL | 5.176268e+06 | 5.285231e+06 | 5.399922e+06 | 5.520332e+06 | 5.646316e+06 | 5.777834e+06 | 5.915123e+06 | 6.058539e+06 | 6.208282e+06 | 6.364569e+06 | 6.527635e+06 | 6.697745e+06 | 6.875228e+06 | 7.060603e+06 | 7.254468e+06 | 7.457362e+06 | 7.669445e+06 | 7.890969e+06 | 8.122529e+06 | 8.364835e+06 | 8.618354e+06 | 8.883016e+06 | 9.158566e+06 | 9.445003e+06 | 9.742263e+06 | 1.005002e+07 | 1.036830e+07 | 1.069627e+07 | 1.103182e+07 | 1.137216e+07 | 1.171522e+07 | 1.206073e+07 | 1.240893e+07 | 1.275888e+07 | 1.310966e+07 | 1.346099e+07 | 1.381247e+07 | 1.416542e+07 | 1.452357e+07 | 1.489189e+07 | 1.527423e+07 | 1.567193e+07 | 1.608489e+07 | 1.651382e+07 | 1.695908e+07 | 1.742080e+07 | 1.789956e+07 | 1.839539e+07 | 1.890701e+07 | 1.943254e+07 | 1.997050e+07 | 2.052045e+07 | 2.108238e+07 | 2.165572e+07 | 2.223990e+07 | 2.283452e+07 | 2.343919e+07 | 2.405373e+07 |
| 41 | 41 | Congo, Dem. Rep. | COD | Population, total | SP.POP.TOTL | 1.524825e+07 | 1.563773e+07 | 1.604126e+07 | 1.646193e+07 | 1.690392e+07 | 1.736988e+07 | 1.786188e+07 | 1.837821e+07 | 1.891320e+07 | 1.945890e+07 | 2.000994e+07 | 2.056286e+07 | 2.112014e+07 | 2.168924e+07 | 2.228092e+07 | 2.290232e+07 | 2.355907e+07 | 2.424755e+07 | 2.495466e+07 | 2.566188e+07 | 2.635746e+07 | 2.703947e+07 | 2.771734e+07 | 2.840488e+07 | 2.912147e+07 | 2.988345e+07 | 3.068582e+07 | 3.152982e+07 | 3.244416e+07 | 3.346544e+07 | 3.461458e+07 | 3.591482e+07 | 3.734615e+07 | 3.883360e+07 | 4.027370e+07 | 4.159574e+07 | 4.277054e+07 | 4.383015e+07 | 4.484053e+07 | 4.589867e+07 | 4.707639e+07 | 4.839434e+07 | 4.983576e+07 | 5.139003e+07 | 5.303422e+07 | 5.475148e+07 | 5.654301e+07 | 5.841756e+07 | 6.037361e+07 | 6.240944e+07 | 6.452326e+07 | 6.671360e+07 | 6.897868e+07 | 7.131603e+07 | 7.372286e+07 | 7.619662e+07 | 7.873615e+07 | 8.133999e+07 |
| 42 | 42 | Congo, Rep. | COG | Population, total | SP.POP.TOTL | 1.037220e+06 | 1.064111e+06 | 1.092292e+06 | 1.121735e+06 | 1.152412e+06 | 1.184316e+06 | 1.217391e+06 | 1.251703e+06 | 1.287516e+06 | 1.325147e+06 | 1.364812e+06 | 1.406643e+06 | 1.450518e+06 | 1.496047e+06 | 1.542690e+06 | 1.590039e+06 | 1.637941e+06 | 1.686524e+06 | 1.736099e+06 | 1.787129e+06 | 1.839935e+06 | 1.894676e+06 | 1.951195e+06 | 2.009165e+06 | 2.068132e+06 | 2.127770e+06 | 2.188046e+06 | 2.249146e+06 | 2.311348e+06 | 2.375008e+06 | 2.440457e+06 | 2.507772e+06 | 2.577035e+06 | 2.648507e+06 | 2.722497e+06 | 2.799255e+06 | 2.879222e+06 | 2.962470e+06 | 3.048453e+06 | 3.136344e+06 | 3.225727e+06 | 3.315806e+06 | 3.407180e+06 | 3.502519e+06 | 3.605439e+06 | 3.718243e+06 | 3.842365e+06 | 3.976246e+06 | 4.115435e+06 | 4.253712e+06 | 4.386693e+06 | 4.512730e+06 | 4.633363e+06 | 4.751393e+06 | 4.871101e+06 | 4.995648e+06 | 5.125821e+06 | 5.260750e+06 |
| 43 | 43 | Colombia | COL | Population, total | SP.POP.TOTL | 1.648038e+07 | 1.698232e+07 | 1.750017e+07 | 1.803355e+07 | 1.858197e+07 | 1.914422e+07 | 1.972146e+07 | 2.031137e+07 | 2.090506e+07 | 2.149094e+07 | 2.206122e+07 | 2.261199e+07 | 2.314680e+07 | 2.367450e+07 | 2.420802e+07 | 2.475697e+07 | 2.532341e+07 | 2.590513e+07 | 2.650217e+07 | 2.711351e+07 | 2.773790e+07 | 2.837599e+07 | 2.902716e+07 | 2.968709e+07 | 3.035009e+07 | 3.101169e+07 | 3.166978e+07 | 3.232432e+07 | 3.297554e+07 | 3.362444e+07 | 3.427156e+07 | 3.491677e+07 | 3.555868e+07 | 3.619517e+07 | 3.682354e+07 | 3.744198e+07 | 3.804904e+07 | 3.864541e+07 | 3.923406e+07 | 3.981928e+07 | 4.040396e+07 | 4.098891e+07 | 4.157249e+07 | 4.215215e+07 | 4.272416e+07 | 4.328563e+07 | 4.383572e+07 | 4.437457e+07 | 4.490154e+07 | 4.541618e+07 | 4.591810e+07 | 4.640665e+07 | 4.688148e+07 | 4.734298e+07 | 4.779191e+07 | 4.822870e+07 | 4.865342e+07 | 4.906562e+07 |
| 44 | 44 | Comoros | COM | Population, total | SP.POP.TOTL | 1.911210e+05 | 1.941390e+05 | 1.971980e+05 | 2.003720e+05 | 2.037530e+05 | 2.074240e+05 | 2.114780e+05 | 2.158970e+05 | 2.205750e+05 | 2.253250e+05 | 2.300540e+05 | 2.346440e+05 | 2.392350e+05 | 2.442080e+05 | 2.501040e+05 | 2.572900e+05 | 2.659530e+05 | 2.759000e+05 | 2.866340e+05 | 2.974470e+05 | 3.078290e+05 | 3.176060e+05 | 3.269460e+05 | 3.360960e+05 | 3.454660e+05 | 3.553370e+05 | 3.657600e+05 | 3.766540e+05 | 3.879630e+05 | 3.996320e+05 | 4.115940e+05 | 4.238720e+05 | 4.364480e+05 | 4.492740e+05 | 4.622770e+05 | 4.753940e+05 | 4.886270e+05 | 5.019530e+05 | 5.153850e+05 | 5.288480e+05 | 5.423570e+05 | 5.558880e+05 | 5.694790e+05 | 5.832110e+05 | 5.972280e+05 | 6.116270e+05 | 6.264250e+05 | 6.416200e+05 | 6.572290e+05 | 6.732520e+05 | 6.896920e+05 | 7.065690e+05 | 7.238680e+05 | 7.415000e+05 | 7.593850e+05 | 7.774240e+05 | 7.956010e+05 | 8.139120e+05 |
| 45 | 45 | Cabo Verde | CPV | Population, total | SP.POP.TOTL | 2.023100e+05 | 2.059560e+05 | 2.108670e+05 | 2.169080e+05 | 2.238460e+05 | 2.314280e+05 | 2.397700e+05 | 2.487470e+05 | 2.575090e+05 | 2.649090e+05 | 2.701980e+05 | 2.729920e+05 | 2.736510e+05 | 2.730050e+05 | 2.722920e+05 | 2.724230e+05 | 2.736520e+05 | 2.757670e+05 | 2.787390e+05 | 2.824150e+05 | 2.866570e+05 | 2.916020e+05 | 2.972850e+05 | 3.033680e+05 | 3.093970e+05 | 3.150690e+05 | 3.201830e+05 | 3.248930e+05 | 3.296710e+05 | 3.351840e+05 | 3.418830e+05 | 3.499340e+05 | 3.590900e+05 | 3.690140e+05 | 3.791560e+05 | 3.891270e+05 | 3.987730e+05 | 4.081750e+05 | 4.173230e+05 | 4.262850e+05 | 4.350790e+05 | 4.437160e+05 | 4.521060e+05 | 4.601470e+05 | 4.676640e+05 | 4.745670e+05 | 4.807950e+05 | 4.864380e+05 | 4.917230e+05 | 4.969630e+05 | 5.023840e+05 | 5.080670e+05 | 5.139790e+05 | 5.201060e+05 | 5.264370e+05 | 5.329130e+05 | 5.395600e+05 | 5.463880e+05 |
| 46 | 46 | Costa Rica | CRI | Population, total | SP.POP.TOTL | 1.333040e+06 | 1.381917e+06 | 1.432585e+06 | 1.484510e+06 | 1.537041e+06 | 1.589621e+06 | 1.642186e+06 | 1.694710e+06 | 1.746869e+06 | 1.798311e+06 | 1.848866e+06 | 1.898360e+06 | 1.947048e+06 | 1.995743e+06 | 2.045580e+06 | 2.097407e+06 | 2.151497e+06 | 2.207725e+06 | 2.266154e+06 | 2.326704e+06 | 2.389310e+06 | 2.454129e+06 | 2.521168e+06 | 2.589930e+06 | 2.659781e+06 | 2.730233e+06 | 2.800986e+06 | 2.872211e+06 | 2.944557e+06 | 3.018955e+06 | 3.095995e+06 | 3.175649e+06 | 3.257466e+06 | 3.341004e+06 | 3.425690e+06 | 3.510926e+06 | 3.596732e+06 | 3.682725e+06 | 3.767373e+06 | 3.848723e+06 | 3.925443e+06 | 3.996798e+06 | 4.063204e+06 | 4.125971e+06 | 4.187038e+06 | 4.247841e+06 | 4.308794e+06 | 4.369469e+06 | 4.429508e+06 | 4.488263e+06 | 4.545280e+06 | 4.600474e+06 | 4.654122e+06 | 4.706401e+06 | 4.757575e+06 | 4.807852e+06 | 4.857274e+06 | 4.905769e+06 |
| 47 | 47 | Caribbean small states | CSS | Population, total | SP.POP.TOTL | 4.198307e+06 | 4.277802e+06 | 4.357746e+06 | 4.436804e+06 | 4.513246e+06 | 4.585777e+06 | 4.653919e+06 | 4.718167e+06 | 4.779624e+06 | 4.839881e+06 | 4.900059e+06 | 4.960647e+06 | 5.021359e+06 | 5.082049e+06 | 5.142246e+06 | 5.201705e+06 | 5.260062e+06 | 5.317542e+06 | 5.375393e+06 | 5.435143e+06 | 5.497756e+06 | 5.564200e+06 | 5.633661e+06 | 5.702754e+06 | 5.766957e+06 | 5.823242e+06 | 5.870023e+06 | 5.908886e+06 | 5.943661e+06 | 5.979907e+06 | 6.021614e+06 | 6.070204e+06 | 6.124265e+06 | 6.181538e+06 | 6.238576e+06 | 6.292827e+06 | 6.343683e+06 | 6.392040e+06 | 6.438587e+06 | 6.484510e+06 | 6.530691e+06 | 6.577216e+06 | 6.623792e+06 | 6.670276e+06 | 6.716373e+06 | 6.761932e+06 | 6.806838e+06 | 6.851221e+06 | 6.895315e+06 | 6.939534e+06 | 6.984096e+06 | 7.029022e+06 | 7.074129e+06 | 7.118888e+06 | 7.162679e+06 | 7.204948e+06 | 7.245472e+06 | 7.284294e+06 |
| 48 | 48 | Cuba | CUB | Population, total | SP.POP.TOTL | 7.141135e+06 | 7.289826e+06 | 7.450402e+06 | 7.618354e+06 | 7.787146e+06 | 7.951933e+06 | 8.110430e+06 | 8.263546e+06 | 8.413327e+06 | 8.563193e+06 | 8.715123e+06 | 8.869961e+06 | 9.025300e+06 | 9.176052e+06 | 9.315373e+06 | 9.438442e+06 | 9.544271e+06 | 9.634680e+06 | 9.711392e+06 | 9.777290e+06 | 9.835177e+06 | 9.884213e+06 | 9.925623e+06 | 9.966733e+06 | 1.001706e+07 | 1.008299e+07 | 1.016809e+07 | 1.026957e+07 | 1.037955e+07 | 1.048651e+07 | 1.058208e+07 | 1.066358e+07 | 1.073336e+07 | 1.079414e+07 | 1.085058e+07 | 1.090604e+07 | 1.096101e+07 | 1.101398e+07 | 1.106410e+07 | 1.111000e+07 | 1.115074e+07 | 1.118654e+07 | 1.121800e+07 | 1.124488e+07 | 1.126694e+07 | 1.128425e+07 | 1.129623e+07 | 1.130369e+07 | 1.130975e+07 | 1.131860e+07 | 1.133305e+07 | 1.135465e+07 | 1.138215e+07 | 1.141217e+07 | 1.143977e+07 | 1.146143e+07 | 1.147598e+07 | 1.148464e+07 |
| 49 | 49 | Curacao | CUW | Population, total | SP.POP.TOTL | 1.248260e+05 | 1.261250e+05 | 1.284140e+05 | 1.308600e+05 | 1.331480e+05 | 1.352660e+05 | 1.366820e+05 | 1.381400e+05 | 1.402980e+05 | 1.425810e+05 | 1.447390e+05 | 1.473890e+05 | 1.477100e+05 | 1.469120e+05 | 1.483510e+05 | 1.491290e+05 | 1.493990e+05 | 1.494590e+05 | 1.483410e+05 | 1.478510e+05 | 1.480410e+05 | 1.486290e+05 | 1.501010e+05 | 1.511590e+05 | 1.519400e+05 | 1.527110e+05 | 1.526620e+05 | 1.514560e+05 | 1.492540e+05 | 1.469370e+05 | 1.454000e+05 | 1.444030e+05 | 1.439120e+05 | 1.442990e+05 | 1.446300e+05 | 1.451390e+05 | 1.463060e+05 | 1.469560e+05 | 1.444720e+05 | 1.394280e+05 | 1.338600e+05 | 1.290470e+05 | 1.292050e+05 | 1.318970e+05 | 1.341920e+05 | 1.376580e+05 | 1.412390e+05 | 1.440560e+05 | 1.458800e+05 | 1.468330e+05 | 1.487030e+05 | 1.508310e+05 | 1.520880e+05 | 1.538220e+05 | 1.559090e+05 | 1.579800e+05 | 1.596630e+05 | 1.610140e+05 |
| 50 | 50 | Cayman Islands | CYM | Population, total | SP.POP.TOTL | 7.865000e+03 | 8.026000e+03 | 8.146000e+03 | 8.227000e+03 | 8.298000e+03 | 8.369000e+03 | 8.441000e+03 | 8.521000e+03 | 8.631000e+03 | 8.827000e+03 | 9.144000e+03 | 9.581000e+03 | 1.013600e+04 | 1.078400e+04 | 1.149800e+04 | 1.224400e+04 | 1.302200e+04 | 1.384100e+04 | 1.466100e+04 | 1.544400e+04 | 1.616200e+04 | 1.678900e+04 | 1.735600e+04 | 1.790600e+04 | 1.854300e+04 | 1.931300e+04 | 2.025100e+04 | 2.133900e+04 | 2.253800e+04 | 2.377600e+04 | 2.501000e+04 | 2.621300e+04 | 2.740400e+04 | 2.864600e+04 | 3.005500e+04 | 3.167200e+04 | 3.353600e+04 | 3.559700e+04 | 3.774000e+04 | 3.980800e+04 | 4.168700e+04 | 4.331600e+04 | 4.473800e+04 | 4.602800e+04 | 4.729900e+04 | 4.862200e+04 | 5.003100e+04 | 5.148300e+04 | 5.292600e+04 | 5.427900e+04 | 5.550700e+04 | 5.657900e+04 | 5.752300e+04 | 5.837100e+04 | 5.917200e+04 | 5.996300e+04 | 6.076500e+04 | 6.155900e+04 |
| 51 | 51 | Cyprus | CYP | Population, total | SP.POP.TOTL | 5.729300e+05 | 5.763950e+05 | 5.776910e+05 | 5.779130e+05 | 5.786270e+05 | 5.809660e+05 | 5.853080e+05 | 5.913080e+05 | 5.984930e+05 | 6.061130e+05 | 6.136210e+05 | 6.208590e+05 | 6.280020e+05 | 6.351110e+05 | 6.423390e+05 | 6.497550e+05 | 6.575340e+05 | 6.655280e+05 | 6.732510e+05 | 6.800110e+05 | 6.854060e+05 | 6.891730e+05 | 6.917020e+05 | 6.940770e+05 | 6.977170e+05 | 7.036870e+05 | 7.123410e+05 | 7.233800e+05 | 7.364790e+05 | 7.510440e+05 | 7.666140e+05 | 7.831290e+05 | 8.006090e+05 | 8.187510e+05 | 8.371100e+05 | 8.553840e+05 | 8.734230e+05 | 8.911920e+05 | 9.087040e+05 | 9.260500e+05 | 9.432860e+05 | 9.602820e+05 | 9.769660e+05 | 9.935630e+05 | 1.010410e+06 | 1.027658e+06 | 1.045509e+06 | 1.063712e+06 | 1.081563e+06 | 1.098076e+06 | 1.112607e+06 | 1.124835e+06 | 1.135062e+06 | 1.143896e+06 | 1.152309e+06 | 1.160985e+06 | 1.170125e+06 | 1.179551e+06 |
| 52 | 52 | Czech Republic | CZE | Population, total | SP.POP.TOTL | 9.602006e+06 | 9.586651e+06 | 9.624660e+06 | 9.670685e+06 | 9.727804e+06 | 9.779358e+06 | 9.821040e+06 | 9.852899e+06 | 9.876346e+06 | 9.896580e+06 | 9.858071e+06 | 9.826815e+06 | 9.867632e+06 | 9.922266e+06 | 9.988459e+06 | 1.005862e+07 | 1.012594e+07 | 1.018676e+07 | 1.024210e+07 | 1.029234e+07 | 1.030419e+07 | 1.030059e+07 | 1.031483e+07 | 1.032386e+07 | 1.033021e+07 | 1.033712e+07 | 1.034223e+07 | 1.034732e+07 | 1.035528e+07 | 1.036107e+07 | 1.033336e+07 | 1.030858e+07 | 1.031912e+07 | 1.032986e+07 | 1.033359e+07 | 1.032725e+07 | 1.031524e+07 | 1.030413e+07 | 1.029437e+07 | 1.028386e+07 | 1.025506e+07 | 1.021660e+07 | 1.019692e+07 | 1.019400e+07 | 1.019710e+07 | 1.021122e+07 | 1.023890e+07 | 1.029883e+07 | 1.038460e+07 | 1.044394e+07 | 1.047441e+07 | 1.049609e+07 | 1.051078e+07 | 1.051427e+07 | 1.052535e+07 | 1.054606e+07 | 1.056633e+07 | 1.059132e+07 |
| 53 | 53 | Germany | DEU | Population, total | SP.POP.TOTL | 7.281490e+07 | 7.337763e+07 | 7.402578e+07 | 7.471435e+07 | 7.531834e+07 | 7.596370e+07 | 7.660031e+07 | 7.695134e+07 | 7.729431e+07 | 7.790968e+07 | 7.816929e+07 | 7.831284e+07 | 7.868845e+07 | 7.893667e+07 | 7.896743e+07 | 7.867355e+07 | 7.833695e+07 | 7.815981e+07 | 7.809182e+07 | 7.812635e+07 | 7.828858e+07 | 7.840791e+07 | 7.833337e+07 | 7.812828e+07 | 7.785868e+07 | 7.768487e+07 | 7.772044e+07 | 7.783992e+07 | 7.814462e+07 | 7.875128e+07 | 7.943303e+07 | 8.001390e+07 | 8.062460e+07 | 8.115636e+07 | 8.143835e+07 | 8.167805e+07 | 8.191483e+07 | 8.203477e+07 | 8.204720e+07 | 8.210024e+07 | 8.221151e+07 | 8.234992e+07 | 8.248850e+07 | 8.253418e+07 | 8.251626e+07 | 8.246942e+07 | 8.237645e+07 | 8.226637e+07 | 8.211010e+07 | 8.190231e+07 | 8.177693e+07 | 8.027498e+07 | 8.042582e+07 | 8.064560e+07 | 8.098250e+07 | 8.168661e+07 | 8.234867e+07 | 8.269500e+07 |
| 54 | 54 | Djibouti | DJI | Population, total | SP.POP.TOTL | 8.363600e+04 | 8.849800e+04 | 9.420400e+04 | 1.006280e+05 | 1.075830e+05 | 1.149630e+05 | 1.228660e+05 | 1.313970e+05 | 1.404620e+05 | 1.498870e+05 | 1.596590e+05 | 1.693720e+05 | 1.792240e+05 | 1.905680e+05 | 2.051810e+05 | 2.241830e+05 | 2.485560e+05 | 2.774790e+05 | 3.080080e+05 | 3.360850e+05 | 3.589600e+05 | 3.749370e+05 | 3.852710e+05 | 3.938020e+05 | 4.060170e+05 | 4.256130e+05 | 4.543610e+05 | 4.903300e+05 | 5.289990e+05 | 5.638640e+05 | 5.903980e+05 | 6.068440e+05 | 6.150540e+05 | 6.184950e+05 | 6.223660e+05 | 6.303880e+05 | 6.436820e+05 | 6.609530e+05 | 6.806120e+05 | 7.000990e+05 | 7.175840e+05 | 7.327110e+05 | 7.462210e+05 | 7.586150e+05 | 7.707520e+05 | 7.832540e+05 | 7.962080e+05 | 8.094020e+05 | 8.229340e+05 | 8.368400e+05 | 8.511460e+05 | 8.659370e+05 | 8.811850e+05 | 8.966880e+05 | 9.121640e+05 | 9.274140e+05 | 9.423330e+05 | 9.569850e+05 |
| 55 | 55 | Dominica | DMA | Population, total | SP.POP.TOTL | 6.001100e+04 | 6.103200e+04 | 6.198200e+04 | 6.291800e+04 | 6.392600e+04 | 6.503800e+04 | 6.631100e+04 | 6.768600e+04 | 6.904000e+04 | 7.021300e+04 | 7.107300e+04 | 7.156900e+04 | 7.173400e+04 | 7.174400e+04 | 7.180700e+04 | 7.209400e+04 | 7.264200e+04 | 7.341100e+04 | 7.424200e+04 | 7.492500e+04 | 7.531400e+04 | 7.537500e+04 | 7.517000e+04 | 7.474700e+04 | 7.421300e+04 | 7.364300e+04 | 7.302500e+04 | 7.237000e+04 | 7.174200e+04 | 7.124200e+04 | 7.092600e+04 | 7.084200e+04 | 7.097000e+04 | 7.121000e+04 | 7.137300e+04 | 7.136800e+04 | 7.114500e+04 | 7.075300e+04 | 7.029000e+04 | 6.990300e+04 | 6.967600e+04 | 6.967000e+04 | 6.982400e+04 | 7.009300e+04 | 7.037900e+04 | 7.062700e+04 | 7.080700e+04 | 7.095000e+04 | 7.107400e+04 | 7.122900e+04 | 7.144000e+04 | 7.171800e+04 | 7.204400e+04 | 7.240000e+04 | 7.277800e+04 | 7.316200e+04 | 7.354300e+04 | 7.392500e+04 |
| 56 | 56 | Denmark | DNK | Population, total | SP.POP.TOTL | 4.579603e+06 | 4.611687e+06 | 4.647727e+06 | 4.684483e+06 | 4.722072e+06 | 4.759012e+06 | 4.797381e+06 | 4.835354e+06 | 4.864883e+06 | 4.891860e+06 | 4.928757e+06 | 4.963126e+06 | 4.991596e+06 | 5.021861e+06 | 5.045297e+06 | 5.059862e+06 | 5.072596e+06 | 5.088419e+06 | 5.104248e+06 | 5.116801e+06 | 5.123027e+06 | 5.121572e+06 | 5.117810e+06 | 5.114297e+06 | 5.111619e+06 | 5.113691e+06 | 5.120534e+06 | 5.127024e+06 | 5.129516e+06 | 5.132594e+06 | 5.140939e+06 | 5.154298e+06 | 5.171370e+06 | 5.188628e+06 | 5.206180e+06 | 5.233373e+06 | 5.263074e+06 | 5.284991e+06 | 5.304219e+06 | 5.321799e+06 | 5.339616e+06 | 5.358783e+06 | 5.375931e+06 | 5.390574e+06 | 5.404523e+06 | 5.419432e+06 | 5.437272e+06 | 5.461438e+06 | 5.493621e+06 | 5.523095e+06 | 5.547683e+06 | 5.570572e+06 | 5.591572e+06 | 5.614932e+06 | 5.643475e+06 | 5.683483e+06 | 5.728010e+06 | 5.769603e+06 |
| 57 | 57 | Dominican Republic | DOM | Population, total | SP.POP.TOTL | 3.294042e+06 | 3.406299e+06 | 3.521278e+06 | 3.638628e+06 | 3.757956e+06 | 3.878948e+06 | 4.001375e+06 | 4.125109e+06 | 4.250025e+06 | 4.376054e+06 | 4.503114e+06 | 4.631114e+06 | 4.759934e+06 | 4.889436e+06 | 5.019473e+06 | 5.149935e+06 | 5.280723e+06 | 5.411865e+06 | 5.543517e+06 | 5.675931e+06 | 5.809269e+06 | 5.943591e+06 | 6.078820e+06 | 6.214857e+06 | 6.351572e+06 | 6.488856e+06 | 6.626542e+06 | 6.764624e+06 | 6.903316e+06 | 7.042937e+06 | 7.183647e+06 | 7.325622e+06 | 7.468551e+06 | 7.611465e+06 | 7.753052e+06 | 7.892423e+06 | 8.029113e+06 | 8.163472e+06 | 8.296375e+06 | 8.429112e+06 | 8.562622e+06 | 8.697126e+06 | 8.832285e+06 | 8.967760e+06 | 9.102998e+06 | 9.237566e+06 | 9.371338e+06 | 9.504353e+06 | 9.636520e+06 | 9.767758e+06 | 9.897985e+06 | 1.002710e+07 | 1.015495e+07 | 1.028130e+07 | 1.040584e+07 | 1.052839e+07 | 1.064879e+07 | 1.076700e+07 |
| 58 | 58 | Algeria | DZA | Population, total | SP.POP.TOTL | 1.112489e+07 | 1.140486e+07 | 1.169015e+07 | 1.198514e+07 | 1.229597e+07 | 1.262695e+07 | 1.298027e+07 | 1.335420e+07 | 1.374439e+07 | 1.414444e+07 | 1.455003e+07 | 1.496011e+07 | 1.537709e+07 | 1.580443e+07 | 1.624711e+07 | 1.670910e+07 | 1.719024e+07 | 1.769018e+07 | 1.821233e+07 | 1.876076e+07 | 1.933772e+07 | 1.994366e+07 | 2.057570e+07 | 2.122829e+07 | 2.189385e+07 | 2.256590e+07 | 2.324127e+07 | 2.391790e+07 | 2.459149e+07 | 2.525767e+07 | 2.591237e+07 | 2.655433e+07 | 2.718109e+07 | 2.778626e+07 | 2.836225e+07 | 2.890430e+07 | 2.941142e+07 | 2.988684e+07 | 3.033573e+07 | 3.076561e+07 | 3.118366e+07 | 3.159215e+07 | 3.199505e+07 | 3.240351e+07 | 3.283110e+07 | 3.328844e+07 | 3.377792e+07 | 3.430008e+07 | 3.486072e+07 | 3.546576e+07 | 3.611764e+07 | 3.681956e+07 | 3.756585e+07 | 3.833856e+07 | 3.911331e+07 | 3.987153e+07 | 4.060605e+07 | 4.131814e+07 |
| 59 | 59 | East Asia & Pacific (excluding high income) | EAP | Population, total | SP.POP.TOTL | 8.939563e+08 | 8.935370e+08 | 9.054460e+08 | 9.286412e+08 | 9.514777e+08 | 9.753257e+08 | 1.002752e+09 | 1.029286e+09 | 1.056791e+09 | 1.085997e+09 | 1.116105e+09 | 1.146851e+09 | 1.175855e+09 | 1.203905e+09 | 1.230437e+09 | 1.254533e+09 | 1.276763e+09 | 1.297395e+09 | 1.317994e+09 | 1.338905e+09 | 1.359493e+09 | 1.380818e+09 | 1.404508e+09 | 1.428334e+09 | 1.451091e+09 | 1.474560e+09 | 1.499557e+09 | 1.526044e+09 | 1.552839e+09 | 1.578980e+09 | 1.604527e+09 | 1.629002e+09 | 1.651934e+09 | 1.674022e+09 | 1.695932e+09 | 1.717382e+09 | 1.738423e+09 | 1.759202e+09 | 1.779222e+09 | 1.798084e+09 | 1.815956e+09 | 1.833034e+09 | 1.849373e+09 | 1.865072e+09 | 1.880347e+09 | 1.895491e+09 | 1.910175e+09 | 1.924329e+09 | 1.938364e+09 | 1.952308e+09 | 1.966232e+09 | 1.980304e+09 | 1.994651e+09 | 2.009173e+09 | 2.023837e+09 | 2.038411e+09 | 2.053299e+09 | 2.068308e+09 |
| 60 | 60 | Early-demographic dividend | EAR | Population, total | SP.POP.TOTL | 9.792874e+08 | 1.002524e+09 | 1.026587e+09 | 1.051415e+09 | 1.077037e+09 | 1.103433e+09 | 1.130587e+09 | 1.158571e+09 | 1.187274e+09 | 1.216766e+09 | 1.247053e+09 | 1.278138e+09 | 1.310016e+09 | 1.342709e+09 | 1.376073e+09 | 1.410094e+09 | 1.444720e+09 | 1.480010e+09 | 1.516216e+09 | 1.553704e+09 | 1.592674e+09 | 1.633180e+09 | 1.675079e+09 | 1.718098e+09 | 1.761829e+09 | 1.805996e+09 | 1.850487e+09 | 1.895290e+09 | 1.940220e+09 | 1.985084e+09 | 2.031828e+09 | 2.076398e+09 | 2.120567e+09 | 2.164508e+09 | 2.208444e+09 | 2.252579e+09 | 2.297015e+09 | 2.341634e+09 | 2.386185e+09 | 2.430487e+09 | 2.474601e+09 | 2.518353e+09 | 2.561813e+09 | 2.605067e+09 | 2.648272e+09 | 2.691528e+09 | 2.734860e+09 | 2.778276e+09 | 2.821797e+09 | 2.865440e+09 | 2.909411e+09 | 2.953406e+09 | 2.997066e+09 | 3.040701e+09 | 3.084236e+09 | 3.127579e+09 | 3.170658e+09 | 3.213427e+09 |
| 61 | 61 | East Asia & Pacific | EAS | Population, total | SP.POP.TOTL | 1.039945e+09 | 1.043547e+09 | 1.058028e+09 | 1.083802e+09 | 1.109204e+09 | 1.135651e+09 | 1.165518e+09 | 1.194424e+09 | 1.223721e+09 | 1.256501e+09 | 1.289259e+09 | 1.322943e+09 | 1.354794e+09 | 1.385052e+09 | 1.415128e+09 | 1.442241e+09 | 1.466465e+09 | 1.489362e+09 | 1.512160e+09 | 1.535391e+09 | 1.558179e+09 | 1.581807e+09 | 1.607731e+09 | 1.633628e+09 | 1.658254e+09 | 1.683449e+09 | 1.710171e+09 | 1.738276e+09 | 1.766656e+09 | 1.794409e+09 | 1.821481e+09 | 1.847530e+09 | 1.871898e+09 | 1.895357e+09 | 1.918771e+09 | 1.941919e+09 | 1.964635e+09 | 1.986800e+09 | 2.008140e+09 | 2.028095e+09 | 2.047151e+09 | 2.065522e+09 | 2.082954e+09 | 2.099546e+09 | 2.115557e+09 | 2.131363e+09 | 2.147030e+09 | 2.162104e+09 | 2.177422e+09 | 2.192352e+09 | 2.207155e+09 | 2.221935e+09 | 2.237083e+09 | 2.252311e+09 | 2.267745e+09 | 2.283108e+09 | 2.298727e+09 | 2.314365e+09 |
| 62 | 62 | Europe & Central Asia (excluding high income) | ECA | Population, total | SP.POP.TOTL | 2.749479e+08 | 2.792453e+08 | 2.835597e+08 | 2.878889e+08 | 2.922034e+08 | 2.964538e+08 | 3.000432e+08 | 3.037008e+08 | 3.072722e+08 | 3.107752e+08 | 3.142886e+08 | 3.177999e+08 | 3.213051e+08 | 3.247898e+08 | 3.282926e+08 | 3.318162e+08 | 3.354947e+08 | 3.391142e+08 | 3.426942e+08 | 3.462524e+08 | 3.499061e+08 | 3.536258e+08 | 3.571678e+08 | 3.606918e+08 | 3.644618e+08 | 3.682484e+08 | 3.720084e+08 | 3.757567e+08 | 3.793897e+08 | 3.828604e+08 | 3.854274e+08 | 3.873971e+08 | 3.890110e+08 | 3.902655e+08 | 3.909185e+08 | 3.913846e+08 | 3.917912e+08 | 3.922009e+08 | 3.924980e+08 | 3.925179e+08 | 3.926580e+08 | 3.924462e+08 | 3.921343e+08 | 3.922804e+08 | 3.926260e+08 | 3.930275e+08 | 3.935713e+08 | 3.942577e+08 | 3.953046e+08 | 3.970440e+08 | 3.990532e+08 | 4.012419e+08 | 4.034397e+08 | 4.058712e+08 | 4.082716e+08 | 4.107708e+08 | 4.132349e+08 | 4.155462e+08 |
| 63 | 63 | Europe & Central Asia | ECS | Population, total | SP.POP.TOTL | 6.672464e+08 | 6.749730e+08 | 6.829387e+08 | 6.909627e+08 | 6.989057e+08 | 7.066090e+08 | 7.133411e+08 | 7.198798e+08 | 7.261619e+08 | 7.323179e+08 | 7.379482e+08 | 7.436074e+08 | 7.498159e+08 | 7.558680e+08 | 7.617013e+08 | 7.673326e+08 | 7.728383e+08 | 7.780948e+08 | 7.832990e+08 | 7.885252e+08 | 7.939371e+08 | 7.992153e+08 | 8.039730e+08 | 8.085247e+08 | 8.132814e+08 | 8.181469e+08 | 8.231551e+08 | 8.282138e+08 | 8.333152e+08 | 8.384628e+08 | 8.428485e+08 | 8.461783e+08 | 8.496567e+08 | 8.527620e+08 | 8.547231e+08 | 8.563529e+08 | 8.576527e+08 | 8.591127e+08 | 8.602363e+08 | 8.613801e+08 | 8.623041e+08 | 8.636156e+08 | 8.651969e+08 | 8.674577e+08 | 8.700308e+08 | 8.726616e+08 | 8.753432e+08 | 8.784660e+08 | 8.819658e+08 | 8.855918e+08 | 8.890165e+08 | 8.910989e+08 | 8.946800e+08 | 8.988814e+08 | 9.031232e+08 | 9.074262e+08 | 9.116863e+08 | 9.155458e+08 |
| 64 | 64 | Ecuador | ECU | Population, total | SP.POP.TOTL | 4.545550e+06 | 4.676859e+06 | 4.812890e+06 | 4.953733e+06 | 5.099468e+06 | 5.250119e+06 | 5.405685e+06 | 5.566057e+06 | 5.730906e+06 | 5.899845e+06 | 6.072527e+06 | 6.248835e+06 | 6.428711e+06 | 6.611916e+06 | 6.798206e+06 | 6.987391e+06 | 7.179399e+06 | 7.374234e+06 | 7.571959e+06 | 7.772653e+06 | 7.976445e+06 | 8.183194e+06 | 8.392940e+06 | 8.606213e+06 | 8.823751e+06 | 9.045979e+06 | 9.272906e+06 | 9.504129e+06 | 9.739176e+06 | 9.977377e+06 | 1.021809e+07 | 1.046099e+07 | 1.070567e+07 | 1.095120e+07 | 1.119648e+07 | 1.144058e+07 | 1.168348e+07 | 1.192499e+07 | 1.216388e+07 | 1.239869e+07 | 1.262860e+07 | 1.285276e+07 | 1.307206e+07 | 1.328960e+07 | 1.350965e+07 | 1.373523e+07 | 1.396748e+07 | 1.420545e+07 | 1.444756e+07 | 1.469128e+07 | 1.493469e+07 | 1.517736e+07 | 1.541967e+07 | 1.566155e+07 | 1.590311e+07 | 1.614437e+07 | 1.638507e+07 | 1.662486e+07 |
| 65 | 65 | Egypt, Arab Rep. | EGY | Population, total | SP.POP.TOTL | 2.699653e+07 | 2.774471e+07 | 2.850618e+07 | 2.928125e+07 | 3.007110e+07 | 3.087596e+07 | 3.169762e+07 | 3.253402e+07 | 3.337726e+07 | 3.421683e+07 | 3.504627e+07 | 3.586338e+07 | 3.667364e+07 | 3.748807e+07 | 3.832202e+07 | 3.918770e+07 | 4.008903e+07 | 4.102648e+07 | 4.200466e+07 | 4.302782e+07 | 4.409914e+07 | 4.521651e+07 | 4.637962e+07 | 4.759456e+07 | 4.886895e+07 | 5.020498e+07 | 5.160770e+07 | 5.306623e+07 | 5.454730e+07 | 5.600657e+07 | 5.741222e+07 | 5.875239e+07 | 6.003554e+07 | 6.127560e+07 | 6.249574e+07 | 6.371439e+07 | 6.493346e+07 | 6.615112e+07 | 6.737806e+07 | 6.862666e+07 | 6.990599e+07 | 7.122694e+07 | 7.259012e+07 | 7.398194e+07 | 7.538190e+07 | 7.677815e+07 | 7.815905e+07 | 7.953725e+07 | 8.095388e+07 | 8.246502e+07 | 8.410761e+07 | 8.589756e+07 | 8.781326e+07 | 8.980743e+07 | 9.181257e+07 | 9.377817e+07 | 9.568868e+07 | 9.755315e+07 |
| 66 | 66 | Euro area | EMU | Population, total | SP.POP.TOTL | 2.653965e+08 | 2.678253e+08 | 2.703248e+08 | 2.728764e+08 | 2.753822e+08 | 2.778567e+08 | 2.801475e+08 | 2.821145e+08 | 2.839670e+08 | 2.858551e+08 | 2.874162e+08 | 2.890325e+08 | 2.910407e+08 | 2.929618e+08 | 2.946894e+08 | 2.962447e+08 | 2.975730e+08 | 2.987386e+08 | 2.999089e+08 | 3.011000e+08 | 3.023635e+08 | 3.034987e+08 | 3.043140e+08 | 3.049200e+08 | 3.054322e+08 | 3.060187e+08 | 3.067972e+08 | 3.076683e+08 | 3.087259e+08 | 3.100801e+08 | 3.115397e+08 | 3.127081e+08 | 3.141621e+08 | 3.154491e+08 | 3.163668e+08 | 3.171814e+08 | 3.180030e+08 | 3.187618e+08 | 3.194340e+08 | 3.202589e+08 | 3.213108e+08 | 3.225479e+08 | 3.241253e+08 | 3.258860e+08 | 3.276825e+08 | 3.293804e+08 | 3.309228e+08 | 3.326452e+08 | 3.342747e+08 | 3.353609e+08 | 3.361515e+08 | 3.354291e+08 | 3.361805e+08 | 3.373255e+08 | 3.384663e+08 | 3.395335e+08 | 3.406174e+08 | 3.414651e+08 |
| 67 | 67 | Eritrea | ERI | Population, total | SP.POP.TOTL | 1.397491e+06 | 1.432640e+06 | 1.469645e+06 | 1.508273e+06 | 1.548187e+06 | 1.589179e+06 | 1.631147e+06 | 1.674204e+06 | 1.718525e+06 | 1.764343e+06 | 1.811878e+06 | 1.861199e+06 | 1.912302e+06 | 1.965160e+06 | 2.019717e+06 | 2.075965e+06 | 2.133723e+06 | 2.193068e+06 | 2.254450e+06 | 2.318495e+06 | 2.385540e+06 | 2.454766e+06 | 2.525521e+06 | 2.598410e+06 | 2.674289e+06 | 2.753151e+06 | 2.837111e+06 | 2.924349e+06 | 3.006361e+06 | 3.071771e+06 | 3.113311e+06 | 3.127297e+06 | 3.118582e+06 | 3.099047e+06 | 3.085443e+06 | 3.090159e+06 | 3.116379e+06 | 3.161350e+06 | 3.224223e+06 | 3.302263e+06 | 3.392801e+06 | 3.497124e+06 | 3.614639e+06 | 3.738265e+06 | 3.858623e+06 | 3.969007e+06 | 4.066648e+06 | 4.153332e+06 | 4.232636e+06 | 4.310334e+06 | 4.390840e+06 | 4.474690e+06 | NaN | NaN | NaN | NaN | NaN | NaN |
| 68 | 68 | Spain | ESP | Population, total | SP.POP.TOTL | 3.045500e+07 | 3.073925e+07 | 3.102337e+07 | 3.129665e+07 | 3.160920e+07 | 3.195429e+07 | 3.228319e+07 | 3.268295e+07 | 3.311313e+07 | 3.344105e+07 | 3.381453e+07 | 3.422449e+07 | 3.460447e+07 | 3.498895e+07 | 3.537334e+07 | 3.575790e+07 | 3.613781e+07 | 3.651164e+07 | 3.686490e+07 | 3.719133e+07 | 3.749116e+07 | 3.775863e+07 | 3.798601e+07 | 3.817152e+07 | 3.833036e+07 | 3.846951e+07 | 3.858462e+07 | 3.868482e+07 | 3.876694e+07 | 3.882776e+07 | 3.886732e+07 | 3.896638e+07 | 3.915768e+07 | 3.936126e+07 | 3.954911e+07 | 3.972405e+07 | 3.988985e+07 | 4.005739e+07 | 4.022351e+07 | 4.038688e+07 | 4.056786e+07 | 4.085041e+07 | 4.143156e+07 | 4.218764e+07 | 4.292190e+07 | 4.365316e+07 | 4.439732e+07 | 4.522680e+07 | 4.595411e+07 | 4.636295e+07 | 4.657690e+07 | 4.674270e+07 | 4.677306e+07 | 4.662004e+07 | 4.648088e+07 | 4.644483e+07 | 4.648406e+07 | 4.657203e+07 |
| 69 | 69 | Estonia | EST | Population, total | SP.POP.TOTL | 1.211537e+06 | 1.225077e+06 | 1.241623e+06 | 1.258857e+06 | 1.277086e+06 | 1.294566e+06 | 1.308597e+06 | 1.318946e+06 | 1.331214e+06 | 1.345249e+06 | 1.360076e+06 | 1.376955e+06 | 1.392518e+06 | 1.405951e+06 | 1.418169e+06 | 1.429352e+06 | 1.439576e+06 | 1.450211e+06 | 1.460188e+06 | 1.468333e+06 | 1.477219e+06 | 1.487666e+06 | 1.498414e+06 | 1.508745e+06 | 1.518617e+06 | 1.528781e+06 | 1.540190e+06 | 1.552221e+06 | 1.561900e+06 | 1.568131e+06 | 1.569174e+06 | 1.561314e+06 | 1.533091e+06 | 1.494128e+06 | 1.462514e+06 | 1.436634e+06 | 1.415594e+06 | 1.399535e+06 | 1.386156e+06 | 1.390244e+06 | 1.396985e+06 | 1.388115e+06 | 1.379350e+06 | 1.370720e+06 | 1.362550e+06 | 1.354775e+06 | 1.346810e+06 | 1.340680e+06 | 1.337090e+06 | 1.334515e+06 | 1.331475e+06 | 1.327439e+06 | 1.322696e+06 | 1.317997e+06 | 1.314545e+06 | 1.315407e+06 | 1.315790e+06 | 1.315480e+06 |
| 70 | 70 | Ethiopia | ETH | Population, total | SP.POP.TOTL | 2.215128e+07 | 2.267119e+07 | 2.322139e+07 | 2.379843e+07 | 2.439702e+07 | 2.501363e+07 | 2.564138e+07 | 2.628121e+07 | 2.694608e+07 | 2.765416e+07 | 2.841508e+07 | 2.924521e+07 | 3.013258e+07 | 3.102512e+07 | 3.185171e+07 | 3.256682e+07 | 3.314689e+07 | 3.362239e+07 | 3.406832e+07 | 3.459023e+07 | 3.526490e+07 | 3.612029e+07 | 3.713685e+07 | 3.828588e+07 | 3.951880e+07 | 4.080034e+07 | 4.212073e+07 | 4.349328e+07 | 4.493206e+07 | 4.645891e+07 | 4.808652e+07 | 4.982108e+07 | 5.164777e+07 | 5.353296e+07 | 5.543112e+07 | 5.730988e+07 | 5.915515e+07 | 6.097645e+07 | 6.279415e+07 | 6.464005e+07 | 6.653733e+07 | 6.849226e+07 | 7.049719e+07 | 7.254514e+07 | 7.462440e+07 | 7.672708e+07 | 7.885069e+07 | 8.100041e+07 | 8.318489e+07 | 8.541625e+07 | 8.770267e+07 | 9.004676e+07 | 9.244418e+07 | 9.488772e+07 | 9.736677e+07 | 9.987303e+07 | 1.024032e+08 | 1.049574e+08 |
| 71 | 71 | European Union | EUU | Population, total | SP.POP.TOTL | 4.094985e+08 | 4.130070e+08 | 4.166706e+08 | 4.203933e+08 | 4.240759e+08 | 4.275926e+08 | 4.308684e+08 | 4.340016e+08 | 4.369161e+08 | 4.397307e+08 | 4.420623e+08 | 4.444010e+08 | 4.472536e+08 | 4.499606e+08 | 4.524759e+08 | 4.548655e+08 | 4.570010e+08 | 4.588882e+08 | 4.606993e+08 | 4.624885e+08 | 4.643929e+08 | 4.660999e+08 | 4.673894e+08 | 4.684688e+08 | 4.695016e+08 | 4.706378e+08 | 4.719373e+08 | 4.732841e+08 | 4.747925e+08 | 4.763921e+08 | 4.780053e+08 | 4.789764e+08 | 4.804385e+08 | 4.820993e+08 | 4.832628e+08 | 4.842713e+08 | 4.850007e+08 | 4.858921e+08 | 4.865659e+08 | 4.875394e+08 | 4.881788e+08 | 4.891557e+08 | 4.903903e+08 | 4.922001e+08 | 4.941625e+08 | 4.961150e+08 | 4.979737e+08 | 4.999166e+08 | 5.018085e+08 | 5.033180e+08 | 5.044211e+08 | 5.040154e+08 | 5.051175e+08 | 5.066211e+08 | 5.081939e+08 | 5.097176e+08 | 5.112190e+08 | 5.124613e+08 |
| 72 | 72 | Fragile and conflict affected situations | FCS | Population, total | SP.POP.TOTL | 1.199679e+08 | 1.227385e+08 | 1.256206e+08 | 1.286219e+08 | 1.317644e+08 | 1.350638e+08 | 1.385324e+08 | 1.421680e+08 | 1.459504e+08 | 1.498533e+08 | 1.538597e+08 | 1.579481e+08 | 1.621330e+08 | 1.664641e+08 | 1.710180e+08 | 1.758378e+08 | 1.809552e+08 | 1.863286e+08 | 1.918511e+08 | 1.973747e+08 | 2.027918e+08 | 2.080848e+08 | 2.132922e+08 | 2.184487e+08 | 2.236076e+08 | 2.288243e+08 | 2.340723e+08 | 2.393759e+08 | 2.448949e+08 | 2.508318e+08 | 2.593019e+08 | 2.665302e+08 | 2.743376e+08 | 2.825127e+08 | 2.907506e+08 | 2.988375e+08 | 3.066919e+08 | 3.143936e+08 | 3.218856e+08 | 3.294950e+08 | 3.376025e+08 | 3.461687e+08 | 3.550768e+08 | 3.642757e+08 | 3.736809e+08 | 3.832304e+08 | 3.929324e+08 | 4.027968e+08 | 4.128324e+08 | 4.230286e+08 | 4.333888e+08 | 4.439183e+08 | 4.546189e+08 | 4.655154e+08 | 4.766081e+08 | 4.879236e+08 | 4.995085e+08 | 5.113366e+08 |
| 73 | 73 | Finland | FIN | Population, total | SP.POP.TOTL | 4.429634e+06 | 4.461005e+06 | 4.491443e+06 | 4.523309e+06 | 4.548543e+06 | 4.563732e+06 | 4.580869e+06 | 4.605744e+06 | 4.626469e+06 | 4.623785e+06 | 4.606307e+06 | 4.612124e+06 | 4.639657e+06 | 4.666081e+06 | 4.690574e+06 | 4.711440e+06 | 4.725664e+06 | 4.738902e+06 | 4.752528e+06 | 4.764690e+06 | 4.779535e+06 | 4.799964e+06 | 4.826933e+06 | 4.855787e+06 | 4.881803e+06 | 4.902206e+06 | 4.918154e+06 | 4.932123e+06 | 4.946481e+06 | 4.964371e+06 | 4.986431e+06 | 5.013740e+06 | 5.041992e+06 | 5.066447e+06 | 5.088333e+06 | 5.107790e+06 | 5.124573e+06 | 5.139835e+06 | 5.153498e+06 | 5.165474e+06 | 5.176209e+06 | 5.188008e+06 | 5.200598e+06 | 5.213014e+06 | 5.228172e+06 | 5.246096e+06 | 5.266268e+06 | 5.288720e+06 | 5.313399e+06 | 5.338871e+06 | 5.363352e+06 | 5.388272e+06 | 5.413971e+06 | 5.438972e+06 | 5.461512e+06 | 5.479531e+06 | 5.495303e+06 | 5.511303e+06 |
| 74 | 74 | Fiji | FJI | Population, total | SP.POP.TOTL | 3.933860e+05 | 4.071560e+05 | 4.215770e+05 | 4.362080e+05 | 4.504500e+05 | 4.638830e+05 | 4.763240e+05 | 4.879130e+05 | 4.988920e+05 | 5.096580e+05 | 5.205290e+05 | 5.316010e+05 | 5.428140e+05 | 5.541070e+05 | 5.653880e+05 | 5.765950e+05 | 5.875200e+05 | 5.982590e+05 | 6.093450e+05 | 6.215380e+05 | 6.352550e+05 | 6.509550e+05 | 6.681980e+05 | 6.853910e+05 | 7.003660e+05 | 7.116610e+05 | 7.185480e+05 | 7.217250e+05 | 7.229170e+05 | 7.246240e+05 | 7.286280e+05 | 7.354730e+05 | 7.445310e+05 | 7.550260e+05 | 7.656670e+05 | 7.754980e+05 | 7.844760e+05 | 7.928600e+05 | 8.003150e+05 | 8.064940e+05 | 8.112230e+05 | 8.142180e+05 | 8.156910e+05 | 8.166280e+05 | 8.183540e+05 | 8.218170e+05 | 8.274110e+05 | 8.348120e+05 | 8.433400e+05 | 8.519670e+05 | 8.599500e+05 | 8.670860e+05 | 8.735960e+05 | 8.797150e+05 | 8.858060e+05 | 8.921490e+05 | 8.987600e+05 | 9.055020e+05 |
| 75 | 75 | France | FRA | Population, total | SP.POP.TOTL | 4.681424e+07 | 4.744475e+07 | 4.811965e+07 | 4.880368e+07 | 4.944940e+07 | 5.002377e+07 | 5.050872e+07 | 5.091546e+07 | 5.127605e+07 | 5.163826e+07 | 5.203510e+07 | 5.248042e+07 | 5.295923e+07 | 5.344126e+07 | 5.388242e+07 | 5.425257e+07 | 5.454149e+07 | 5.476446e+07 | 5.494798e+07 | 5.513059e+07 | 5.534078e+07 | 5.558582e+07 | 5.585873e+07 | 5.615628e+07 | 5.647077e+07 | 5.679569e+07 | 5.713269e+07 | 5.748259e+07 | 5.783649e+07 | 5.818270e+07 | 5.851281e+07 | 5.855931e+07 | 5.885122e+07 | 5.910677e+07 | 5.932719e+07 | 5.954190e+07 | 5.975310e+07 | 5.996485e+07 | 6.018629e+07 | 6.049672e+07 | 6.091250e+07 | 6.135743e+07 | 6.180527e+07 | 6.224489e+07 | 6.270490e+07 | 6.317935e+07 | 6.362138e+07 | 6.401623e+07 | 6.437499e+07 | 6.470704e+07 | 6.502751e+07 | 6.534278e+07 | 6.565979e+07 | 6.599866e+07 | 6.631609e+07 | 6.659337e+07 | 6.685977e+07 | 6.711865e+07 |
| 76 | 76 | Faroe Islands | FRO | Population, total | SP.POP.TOTL | 3.466100e+04 | 3.511500e+04 | 3.557000e+04 | 3.601400e+04 | 3.645400e+04 | 3.690000e+04 | 3.733400e+04 | 3.776800e+04 | 3.820000e+04 | 3.864600e+04 | 3.908300e+04 | 3.953700e+04 | 4.000900e+04 | 4.048600e+04 | 4.095500e+04 | 4.140700e+04 | 4.184800e+04 | 4.227500e+04 | 4.269300e+04 | 4.310100e+04 | 4.351400e+04 | 4.391700e+04 | 4.430700e+04 | 4.470000e+04 | 4.512200e+04 | 4.557300e+04 | 4.607700e+04 | 4.662100e+04 | 4.711700e+04 | 4.746600e+04 | 4.759400e+04 | 4.745700e+04 | 4.710100e+04 | 4.664000e+04 | 4.625000e+04 | 4.604000e+04 | 4.605800e+04 | 4.625100e+04 | 4.658000e+04 | 4.693700e+04 | 4.725800e+04 | 4.752600e+04 | 4.776900e+04 | 4.797400e+04 | 4.814300e+04 | 4.828500e+04 | 4.838300e+04 | 4.844800e+04 | 4.848500e+04 | 4.851700e+04 | 4.855000e+04 | 4.860800e+04 | 4.866600e+04 | 4.874700e+04 | 4.884200e+04 | 4.896500e+04 | 4.911700e+04 | 4.929000e+04 |
| 77 | 77 | Micronesia, Fed. Sts. | FSM | Population, total | SP.POP.TOTL | 4.453700e+04 | 4.595500e+04 | 4.738800e+04 | 4.887600e+04 | 5.048700e+04 | 5.224200e+04 | 5.419900e+04 | 5.631900e+04 | 5.840300e+04 | 6.017000e+04 | 6.143100e+04 | 6.210800e+04 | 6.229800e+04 | 6.229000e+04 | 6.247600e+04 | 6.314400e+04 | 6.438600e+04 | 6.610500e+04 | 6.822200e+04 | 7.055000e+04 | 7.296400e+04 | 7.546200e+04 | 7.805900e+04 | 8.067800e+04 | 8.324000e+04 | 8.568600e+04 | 8.794800e+04 | 9.002000e+04 | 9.202100e+04 | 9.409100e+04 | 9.633100e+04 | 9.879900e+04 | 1.014130e+05 | 1.039340e+05 | 1.060570e+05 | 1.075560e+05 | 1.083440e+05 | 1.085020e+05 | 1.082380e+05 | 1.078160e+05 | 1.074320e+05 | 1.071650e+05 | 1.069830e+05 | 1.068160e+05 | 1.065770e+05 | 1.061960e+05 | 1.056840e+05 | 1.050780e+05 | 1.044780e+05 | 1.039600e+05 | 1.036160e+05 | 1.034680e+05 | 1.035030e+05 | 1.037020e+05 | 1.040150e+05 | 1.044330e+05 | 1.049370e+05 | 1.055440e+05 |
| 78 | 78 | Gabon | GAB | Population, total | SP.POP.TOTL | 4.991840e+05 | 5.041670e+05 | 5.098060e+05 | 5.162650e+05 | 5.237890e+05 | 5.325110e+05 | 5.425570e+05 | 5.538230e+05 | 5.658730e+05 | 5.781080e+05 | 5.901180e+05 | 6.017310e+05 | 6.131230e+05 | 6.246210e+05 | 6.366960e+05 | 6.497160e+05 | 6.637700e+05 | 6.787740e+05 | 6.947320e+05 | 7.115330e+05 | 7.291590e+05 | 7.475870e+05 | 7.668550e+05 | 7.870130e+05 | 8.080830e+05 | 8.300850e+05 | 8.530270e+05 | 8.768630e+05 | 9.014580e+05 | 9.266220e+05 | 9.522120e+05 | 9.782230e+05 | 1.004676e+06 | 1.031504e+06 | 1.058663e+06 | 1.086137e+06 | 1.113994e+06 | 1.142324e+06 | 1.171224e+06 | 1.200773e+06 | 1.231122e+06 | 1.262259e+06 | 1.294409e+06 | 1.328146e+06 | 1.364205e+06 | 1.403126e+06 | 1.444844e+06 | 1.489193e+06 | 1.536411e+06 | 1.586754e+06 | 1.640210e+06 | 1.697101e+06 | 1.756817e+06 | 1.817271e+06 | 1.875713e+06 | 1.930175e+06 | 1.979786e+06 | 2.025137e+06 |
| 79 | 79 | United Kingdom | GBR | Population, total | SP.POP.TOTL | 5.240000e+07 | 5.280000e+07 | 5.325000e+07 | 5.365000e+07 | 5.400000e+07 | 5.434805e+07 | 5.464850e+07 | 5.494360e+07 | 5.521170e+07 | 5.544175e+07 | 5.566325e+07 | 5.589622e+07 | 5.608606e+07 | 5.619453e+07 | 5.622997e+07 | 5.622580e+07 | 5.621197e+07 | 5.619349e+07 | 5.619650e+07 | 5.624695e+07 | 5.631422e+07 | 5.633383e+07 | 5.631364e+07 | 5.633285e+07 | 5.642207e+07 | 5.655027e+07 | 5.668140e+07 | 5.680205e+07 | 5.692833e+07 | 5.707671e+07 | 5.724759e+07 | 5.742490e+07 | 5.758040e+07 | 5.771861e+07 | 5.786574e+07 | 5.801903e+07 | 5.816695e+07 | 5.831695e+07 | 5.848714e+07 | 5.868247e+07 | 5.889251e+07 | 5.911967e+07 | 5.937048e+07 | 5.964758e+07 | 5.998790e+07 | 6.040121e+07 | 6.084682e+07 | 6.132246e+07 | 6.180700e+07 | 6.227627e+07 | 6.276636e+07 | 6.325892e+07 | 6.370030e+07 | 6.412823e+07 | 6.461316e+07 | 6.512886e+07 | 6.559556e+07 | 6.602227e+07 |
| 80 | 80 | Georgia | GEO | Population, total | SP.POP.TOTL | 3.645600e+06 | 3.703600e+06 | 3.760300e+06 | 3.816100e+06 | 3.870300e+06 | 3.921600e+06 | 3.966700e+06 | 4.005800e+06 | 4.042300e+06 | 4.080300e+06 | 4.119900e+06 | 4.163000e+06 | 4.205300e+06 | 4.242500e+06 | 4.279500e+06 | 4.311200e+06 | 4.342400e+06 | 4.372100e+06 | 4.397700e+06 | 4.430200e+06 | 4.467700e+06 | 4.504500e+06 | 4.542800e+06 | 4.582900e+06 | 4.622200e+06 | 4.662900e+06 | 4.704500e+06 | 4.743500e+06 | 4.790700e+06 | 4.803300e+06 | 4.802000e+06 | 4.835900e+06 | 4.873500e+06 | 4.911100e+06 | 4.861600e+06 | 4.734000e+06 | 4.616100e+06 | 4.531600e+06 | 4.487300e+06 | 4.452500e+06 | 4.418300e+06 | 4.386400e+06 | 4.357000e+06 | 4.301000e+06 | 4.245000e+06 | 4.190000e+06 | 4.136000e+06 | 4.082000e+06 | 4.030000e+06 | 3.978000e+06 | 3.926000e+06 | 3.875000e+06 | 3.825000e+06 | 3.776000e+06 | 3.727000e+06 | 3.717100e+06 | 3.719300e+06 | 3.717100e+06 |
| 81 | 81 | Ghana | GHA | Population, total | SP.POP.TOTL | 6.652287e+06 | 6.866539e+06 | 7.085464e+06 | 7.303432e+06 | 7.513289e+06 | 7.710549e+06 | 7.890992e+06 | 8.057444e+06 | 8.221020e+06 | 8.397347e+06 | 8.596983e+06 | 8.827273e+06 | 9.083573e+06 | 9.350111e+06 | 9.604276e+06 | 9.831407e+06 | 1.002347e+07 | 1.018989e+07 | 1.035450e+07 | 1.055078e+07 | 1.080203e+07 | 1.111760e+07 | 1.148811e+07 | 1.189512e+07 | 1.231116e+07 | 1.271623e+07 | 1.310430e+07 | 1.348141e+07 | 1.385421e+07 | 1.423387e+07 | 1.462826e+07 | 1.503951e+07 | 1.546385e+07 | 1.589643e+07 | 1.633017e+07 | 1.676047e+07 | 1.718561e+07 | 1.760881e+07 | 1.803649e+07 | 1.847761e+07 | 1.893876e+07 | 1.942160e+07 | 1.992452e+07 | 2.044678e+07 | 2.098654e+07 | 2.154201e+07 | 2.211342e+07 | 2.270021e+07 | 2.329864e+07 | 2.390383e+07 | 2.451210e+07 | 2.512180e+07 | 2.573305e+07 | 2.634625e+07 | 2.696256e+07 | 2.758282e+07 | 2.820673e+07 | 2.883363e+07 |
| 82 | 82 | Gibraltar | GIB | Population, total | SP.POP.TOTL | 2.339400e+04 | 2.378600e+04 | 2.428400e+04 | 2.484800e+04 | 2.545400e+04 | 2.604100e+04 | 2.661200e+04 | 2.717400e+04 | 2.769400e+04 | 2.815900e+04 | 2.856000e+04 | 2.886900e+04 | 2.910400e+04 | 2.927800e+04 | 2.942700e+04 | 2.957800e+04 | 2.974200e+04 | 2.990200e+04 | 3.004900e+04 | 3.017700e+04 | 3.027200e+04 | 3.033400e+04 | 3.038100e+04 | 3.038300e+04 | 3.032500e+04 | 3.020700e+04 | 3.000400e+04 | 2.974400e+04 | 2.946900e+04 | 2.926200e+04 | 2.916400e+04 | 2.921200e+04 | 2.937900e+04 | 2.962300e+04 | 2.989500e+04 | 3.014700e+04 | 3.038200e+04 | 3.059400e+04 | 3.080100e+04 | 3.099100e+04 | 3.118000e+04 | 3.137400e+04 | 3.154400e+04 | 3.172000e+04 | 3.189600e+04 | 3.208500e+04 | 3.229600e+04 | 3.251000e+04 | 3.273200e+04 | 3.295600e+04 | 3.318900e+04 | 3.340500e+04 | 3.362300e+04 | 3.383100e+04 | 3.403800e+04 | 3.422800e+04 | 3.440800e+04 | 3.457100e+04 |
| 83 | 83 | Guinea | GIN | Population, total | SP.POP.TOTL | 3.577409e+06 | 3.633652e+06 | 3.690664e+06 | 3.749505e+06 | 3.811659e+06 | 3.877806e+06 | 3.948869e+06 | 4.023486e+06 | 4.097191e+06 | 4.164003e+06 | 4.219770e+06 | 4.263840e+06 | 4.298091e+06 | 4.324360e+06 | 4.345545e+06 | 4.364514e+06 | 4.381601e+06 | 4.398484e+06 | 4.421134e+06 | 4.457078e+06 | 4.511902e+06 | 4.589784e+06 | 4.690605e+06 | 4.810496e+06 | 4.943144e+06 | 5.084767e+06 | 5.229797e+06 | 5.381483e+06 | 5.554882e+06 | 5.770652e+06 | 6.041094e+06 | 6.374329e+06 | 6.758838e+06 | 7.163236e+06 | 7.544291e+06 | 7.871173e+06 | 8.132552e+06 | 8.337988e+06 | 8.503297e+06 | 8.653769e+06 | 8.808546e+06 | 8.971139e+06 | 9.137345e+06 | 9.309848e+06 | 9.490229e+06 | 9.679745e+06 | 9.881428e+06 | 1.009673e+07 | 1.032314e+07 | 1.055652e+07 | 1.079417e+07 | 1.103517e+07 | 1.128147e+07 | 1.153662e+07 | 1.180551e+07 | 1.209153e+07 | 1.239592e+07 | 1.271718e+07 |
| 84 | 84 | Gambia, The | GMB | Population, total | SP.POP.TOTL | 3.679280e+05 | 3.767370e+05 | 3.835230e+05 | 3.890720e+05 | 3.945530e+05 | 4.008610e+05 | 4.081800e+05 | 4.163390e+05 | 4.255100e+05 | 4.357980e+05 | 4.472850e+05 | 4.601940e+05 | 4.745390e+05 | 4.898610e+05 | 5.055120e+05 | 5.210700e+05 | 5.364090e+05 | 5.518170e+05 | 5.678310e+05 | 5.851570e+05 | 6.043690e+05 | 6.254110e+05 | 6.482100e+05 | 6.732380e+05 | 7.011040e+05 | 7.320960e+05 | 7.665890e+05 | 8.041250e+05 | 8.430500e+05 | 8.811380e+05 | 9.168080e+05 | 9.494930e+05 | 9.797180e+05 | 1.008358e+06 | 1.036829e+06 | 1.066223e+06 | 1.096708e+06 | 1.128169e+06 | 1.160944e+06 | 1.195420e+06 | 1.231844e+06 | 1.270495e+06 | 1.311349e+06 | 1.354194e+06 | 1.398573e+06 | 1.444204e+06 | 1.491021e+06 | 1.539116e+06 | 1.588572e+06 | 1.639560e+06 | 1.692149e+06 | 1.746363e+06 | 1.802125e+06 | 1.859324e+06 | 1.917852e+06 | 1.977590e+06 | 2.038501e+06 | 2.100568e+06 |
| 85 | 85 | Guinea-Bissau | GNB | Population, total | SP.POP.TOTL | 6.164090e+05 | 6.234150e+05 | 6.299690e+05 | 6.365860e+05 | 6.439610e+05 | 6.525620e+05 | 6.624630e+05 | 6.734620e+05 | 6.854760e+05 | 6.983380e+05 | 7.118270e+05 | 7.262560e+05 | 7.414900e+05 | 7.562800e+05 | 7.689450e+05 | 7.784700e+05 | 7.841560e+05 | 7.867540e+05 | 7.884950e+05 | 7.924620e+05 | 8.008540e+05 | 8.145070e+05 | 8.326680e+05 | 8.541130e+05 | 8.768730e+05 | 8.995090e+05 | 9.216260e+05 | 9.436170e+05 | 9.657420e+05 | 9.885200e+05 | 1.012280e+06 | 1.037155e+06 | 1.062800e+06 | 1.088569e+06 | 1.113541e+06 | 1.137122e+06 | 1.159060e+06 | 1.179727e+06 | 1.199915e+06 | 1.220794e+06 | 1.243229e+06 | 1.267512e+06 | 1.293523e+06 | 1.321202e+06 | 1.350345e+06 | 1.380838e+06 | 1.412669e+06 | 1.445958e+06 | 1.480841e+06 | 1.517448e+06 | 1.555880e+06 | 1.596154e+06 | 1.638139e+06 | 1.681495e+06 | 1.725744e+06 | 1.770526e+06 | 1.815698e+06 | 1.861283e+06 |
| 86 | 86 | Equatorial Guinea | GNQ | Population, total | SP.POP.TOTL | 2.553230e+05 | 2.589470e+05 | 2.625900e+05 | 2.665980e+05 | 2.714570e+05 | 2.773960e+05 | 2.848680e+05 | 2.934400e+05 | 3.013530e+05 | 3.062330e+05 | 3.065150e+05 | 3.016660e+05 | 2.925850e+05 | 2.810210e+05 | 2.694260e+05 | 2.597470e+05 | 2.521940e+05 | 2.466770e+05 | 2.444850e+05 | 2.470780e+05 | 2.553250e+05 | 2.700630e+05 | 2.906170e+05 | 3.144750e+05 | 3.380860e+05 | 3.588960e+05 | 3.760240e+05 | 3.901730e+05 | 4.023260e+05 | 4.141380e+05 | 4.268460e+05 | 4.406240e+05 | 4.551480e+05 | 4.706100e+05 | 4.871400e+05 | 5.048710e+05 | 5.239990e+05 | 5.446360e+05 | 5.666730e+05 | 5.899380e+05 | 6.143230e+05 | 6.397620e+05 | 6.664070e+05 | 6.946110e+05 | 7.248170e+05 | 7.573170e+05 | 7.922170e+05 | 8.293270e+05 | 8.684180e+05 | 9.091110e+05 | 9.511040e+05 | 9.942900e+05 | 1.038593e+06 | 1.083746e+06 | 1.129424e+06 | 1.175389e+06 | 1.221490e+06 | 1.267689e+06 |
| 87 | 87 | Greece | GRC | Population, total | SP.POP.TOTL | 8.331725e+06 | 8.398050e+06 | 8.448233e+06 | 8.479625e+06 | 8.510429e+06 | 8.550333e+06 | 8.613651e+06 | 8.684088e+06 | 8.740765e+06 | 8.772764e+06 | 8.792806e+06 | 8.831036e+06 | 8.888628e+06 | 8.929086e+06 | 8.962022e+06 | 9.046541e+06 | 9.188150e+06 | 9.308479e+06 | 9.429959e+06 | 9.548258e+06 | 9.642505e+06 | 9.729350e+06 | 9.789513e+06 | 9.846627e+06 | 9.895801e+06 | 9.934300e+06 | 9.967213e+06 | 1.000060e+07 | 1.003698e+07 | 1.008950e+07 | 1.019679e+07 | 1.031993e+07 | 1.039906e+07 | 1.046042e+07 | 1.051292e+07 | 1.056215e+07 | 1.060880e+07 | 1.066126e+07 | 1.072051e+07 | 1.076170e+07 | 1.080581e+07 | 1.086213e+07 | 1.090202e+07 | 1.092807e+07 | 1.095514e+07 | 1.098731e+07 | 1.102036e+07 | 1.104847e+07 | 1.107784e+07 | 1.110702e+07 | 1.112134e+07 | 1.110490e+07 | 1.104501e+07 | 1.096521e+07 | 1.089241e+07 | 1.082088e+07 | 1.077597e+07 | 1.076042e+07 |
| 88 | 88 | Grenada | GRD | Population, total | SP.POP.TOTL | 8.986900e+04 | 9.126000e+04 | 9.242500e+04 | 9.335000e+04 | 9.406600e+04 | 9.458100e+04 | 9.487500e+04 | 9.496100e+04 | 9.486800e+04 | 9.468200e+04 | 9.442600e+04 | 9.418500e+04 | 9.393400e+04 | 9.363000e+04 | 9.315200e+04 | 9.244800e+04 | 9.143700e+04 | 9.018400e+04 | 8.907300e+04 | 8.856800e+04 | 8.900500e+04 | 9.057200e+04 | 9.309100e+04 | 9.598500e+04 | 9.843900e+04 | 9.990600e+04 | 1.001430e+05 | 9.938000e+04 | 9.806200e+04 | 9.686900e+04 | 9.628300e+04 | 9.645400e+04 | 9.719800e+04 | 9.830500e+04 | 9.940500e+04 | 1.002550e+05 | 1.007960e+05 | 1.011220e+05 | 1.013090e+05 | 1.014420e+05 | 1.016190e+05 | 1.018490e+05 | 1.021000e+05 | 1.023750e+05 | 1.026560e+05 | 1.029490e+05 | 1.032590e+05 | 1.035860e+05 | 1.039300e+05 | 1.042960e+05 | 1.046770e+05 | 1.050750e+05 | 1.054810e+05 | 1.059090e+05 | 1.063600e+05 | 1.068230e+05 | 1.073170e+05 | 1.078250e+05 |
| 89 | 89 | Greenland | GRL | Population, total | SP.POP.TOTL | 3.250000e+04 | 3.370000e+04 | 3.500000e+04 | 3.640000e+04 | 3.760000e+04 | 3.920000e+04 | 4.050000e+04 | 4.190000e+04 | 4.340000e+04 | 4.490000e+04 | 4.640000e+04 | 4.720000e+04 | 4.830000e+04 | 4.900000e+04 | 4.950000e+04 | 4.960000e+04 | 4.970000e+04 | 4.940000e+04 | 4.920000e+04 | 4.960000e+04 | 5.020000e+04 | 5.100000e+04 | 5.150000e+04 | 5.210000e+04 | 5.270000e+04 | 5.320000e+04 | 5.350000e+04 | 5.410000e+04 | 5.480000e+04 | 5.530000e+04 | 5.560000e+04 | 5.550000e+04 | 5.530000e+04 | 5.520000e+04 | 5.550000e+04 | 5.580000e+04 | 5.590000e+04 | 5.600000e+04 | 5.610000e+04 | 5.610000e+04 | 5.620000e+04 | 5.635000e+04 | 5.660900e+04 | 5.676500e+04 | 5.691100e+04 | 5.693500e+04 | 5.677400e+04 | 5.655500e+04 | 5.632800e+04 | 5.632300e+04 | 5.690500e+04 | 5.689000e+04 | 5.681000e+04 | 5.648300e+04 | 5.629500e+04 | 5.611400e+04 | 5.618600e+04 | 5.617100e+04 |
| 90 | 90 | Guatemala | GTM | Population, total | SP.POP.TOTL | 4.210747e+06 | 4.336143e+06 | 4.464249e+06 | 4.595510e+06 | 4.730540e+06 | 4.869716e+06 | 5.013153e+06 | 5.160609e+06 | 5.311615e+06 | 5.465512e+06 | 5.621792e+06 | 5.780480e+06 | 5.941567e+06 | 6.104530e+06 | 6.268707e+06 | 6.433728e+06 | 6.599214e+06 | 6.765516e+06 | 6.933906e+06 | 7.106145e+06 | 7.283459e+06 | 7.466488e+06 | 7.654819e+06 | 7.847472e+06 | 8.042897e+06 | 8.240060e+06 | 8.438604e+06 | 8.639108e+06 | 8.842575e+06 | 9.050465e+06 | 9.263813e+06 | 9.483270e+06 | 9.708544e+06 | 9.938692e+06 | 1.017230e+07 | 1.040849e+07 | 1.064667e+07 | 1.088763e+07 | 1.113350e+07 | 1.138720e+07 | 1.165074e+07 | 1.192495e+07 | 1.220885e+07 | 1.250048e+07 | 1.279692e+07 | 1.309603e+07 | 1.339701e+07 | 1.370029e+07 | 1.400637e+07 | 1.431621e+07 | 1.463042e+07 | 1.494892e+07 | 1.527106e+07 | 1.559621e+07 | 1.592356e+07 | 1.625243e+07 | 1.658247e+07 | 1.691350e+07 |
| 91 | 91 | Guam | GUM | Population, total | SP.POP.TOTL | 6.674200e+04 | 6.807200e+04 | 6.960400e+04 | 7.128600e+04 | 7.305100e+04 | 7.483000e+04 | 7.660700e+04 | 7.840400e+04 | 8.021700e+04 | 8.204000e+04 | 8.387700e+04 | 8.572600e+04 | 8.758700e+04 | 8.946400e+04 | 9.137700e+04 | 9.335200e+04 | 9.538500e+04 | 9.747700e+04 | 9.963000e+04 | 1.018440e+05 | 1.041330e+05 | 1.064850e+05 | 1.089060e+05 | 1.114020e+05 | 1.139610e+05 | 1.165720e+05 | 1.192320e+05 | 1.219190e+05 | 1.246730e+05 | 1.275220e+05 | 1.304820e+05 | 1.335580e+05 | 1.366920e+05 | 1.398180e+05 | 1.428020e+05 | 1.455610e+05 | 1.480600e+05 | 1.503030e+05 | 1.522770e+05 | 1.539530e+05 | 1.553290e+05 | 1.564010e+05 | 1.571750e+05 | 1.577140e+05 | 1.580990e+05 | 1.584020e+05 | 1.586480e+05 | 1.588550e+05 | 1.590350e+05 | 1.592310e+05 | 1.594440e+05 | 1.596780e+05 | 1.599730e+05 | 1.603750e+05 | 1.609670e+05 | 1.617970e+05 | 1.628960e+05 | 1.642290e+05 |
| 92 | 92 | Guyana | GUY | Population, total | SP.POP.TOTL | 5.718190e+05 | 5.892740e+05 | 6.062850e+05 | 6.225750e+05 | 6.378450e+05 | 6.518680e+05 | 6.645210e+05 | 6.758710e+05 | 6.861460e+05 | 6.957450e+05 | 7.049340e+05 | 7.136840e+05 | 7.219480e+05 | 7.299160e+05 | 7.378470e+05 | 7.458410e+05 | 7.541010e+05 | 7.624240e+05 | 7.701250e+05 | 7.762540e+05 | 7.801530e+05 | 7.817320e+05 | 7.812460e+05 | 7.789480e+05 | 7.752190e+05 | 7.704350e+05 | 7.644590e+05 | 7.575060e+05 | 7.507310e+05 | 7.456650e+05 | 7.433090e+05 | 7.442890e+05 | 7.481340e+05 | 7.534840e+05 | 7.583420e+05 | 7.612910e+05 | 7.618610e+05 | 7.605100e+05 | 7.579520e+05 | 7.552780e+05 | 7.533010e+05 | 7.522630e+05 | 7.518840e+05 | 7.518570e+05 | 7.516520e+05 | 7.509460e+05 | 7.496010e+05 | 7.478690e+05 | 7.463140e+05 | 7.456930e+05 | 7.465560e+05 | 7.491000e+05 | 7.530910e+05 | 7.580810e+05 | 7.633930e+05 | 7.685140e+05 | 7.733030e+05 | 7.778590e+05 |
| 93 | 93 | High income | HIC | Population, total | SP.POP.TOTL | 7.805019e+08 | 7.922469e+08 | 8.026422e+08 | 8.129553e+08 | 8.231546e+08 | 8.329597e+08 | 8.421277e+08 | 8.509046e+08 | 8.587067e+08 | 8.682242e+08 | 8.767867e+08 | 8.860038e+08 | 8.953875e+08 | 9.039124e+08 | 9.135110e+08 | 9.225734e+08 | 9.301713e+08 | 9.379903e+08 | 9.458800e+08 | 9.541429e+08 | 9.622283e+08 | 9.703380e+08 | 9.780563e+08 | 9.853499e+08 | 9.922957e+08 | 9.992782e+08 | 1.006551e+09 | 1.013806e+09 | 1.021210e+09 | 1.029042e+09 | 1.037334e+09 | 1.045799e+09 | 1.052657e+09 | 1.061248e+09 | 1.069147e+09 | 1.078559e+09 | 1.086072e+09 | 1.093604e+09 | 1.100764e+09 | 1.108003e+09 | 1.115010e+09 | 1.122635e+09 | 1.130300e+09 | 1.137953e+09 | 1.145972e+09 | 1.154156e+09 | 1.162908e+09 | 1.172156e+09 | 1.181963e+09 | 1.190791e+09 | 1.198787e+09 | 1.204631e+09 | 1.212058e+09 | 1.219557e+09 | 1.227212e+09 | 1.234714e+09 | 1.242138e+09 | 1.249066e+09 |
| 94 | 94 | Hong Kong SAR, China | HKG | Population, total | SP.POP.TOTL | 3.075605e+06 | 3.168100e+06 | 3.305200e+06 | 3.420900e+06 | 3.504600e+06 | 3.597900e+06 | 3.629900e+06 | 3.722800e+06 | 3.802700e+06 | 3.863900e+06 | 3.959000e+06 | 4.045300e+06 | 4.123600e+06 | 4.241600e+06 | 4.377800e+06 | 4.461600e+06 | 4.518000e+06 | 4.583700e+06 | 4.667500e+06 | 4.929700e+06 | 5.063100e+06 | 5.183400e+06 | 5.264500e+06 | 5.345100e+06 | 5.397900e+06 | 5.456200e+06 | 5.524600e+06 | 5.580500e+06 | 5.627600e+06 | 5.686200e+06 | 5.704500e+06 | 5.752000e+06 | 5.800500e+06 | 5.901000e+06 | 6.035400e+06 | 6.156100e+06 | 6.435500e+06 | 6.489300e+06 | 6.543700e+06 | 6.606500e+06 | 6.665000e+06 | 6.714300e+06 | 6.744100e+06 | 6.730800e+06 | 6.783500e+06 | 6.813200e+06 | 6.857100e+06 | 6.916300e+06 | 6.957800e+06 | 6.972800e+06 | 7.024200e+06 | 7.071600e+06 | 7.150100e+06 | 7.178900e+06 | 7.229500e+06 | 7.291300e+06 | 7.336600e+06 | 7.391700e+06 |
| 95 | 95 | Honduras | HND | Population, total | SP.POP.TOTL | 2.038637e+06 | 2.096407e+06 | 2.155652e+06 | 2.216707e+06 | 2.280045e+06 | 2.346010e+06 | 2.414807e+06 | 2.486414e+06 | 2.560727e+06 | 2.637517e+06 | 2.716659e+06 | 2.798125e+06 | 2.882113e+06 | 2.968994e+06 | 3.059254e+06 | 3.153261e+06 | 3.251158e+06 | 3.352835e+06 | 3.458104e+06 | 3.566665e+06 | 3.678286e+06 | 3.792938e+06 | 3.910657e+06 | 4.031349e+06 | 4.154887e+06 | 4.281189e+06 | 4.410158e+06 | 4.541804e+06 | 4.676361e+06 | 4.814137e+06 | 4.955328e+06 | 5.099951e+06 | 5.247836e+06 | 5.398805e+06 | 5.552625e+06 | 5.709051e+06 | 5.867849e+06 | 6.028882e+06 | 6.192026e+06 | 6.357221e+06 | 6.524283e+06 | 6.693061e+06 | 6.863157e+06 | 7.033821e+06 | 7.204153e+06 | 7.373430e+06 | 7.541406e+06 | 7.707972e+06 | 7.872658e+06 | 8.035021e+06 | 8.194778e+06 | 8.351600e+06 | 8.505646e+06 | 8.657785e+06 | 8.809216e+06 | 8.960829e+06 | 9.112867e+06 | 9.265067e+06 |
| 96 | 96 | Heavily indebted poor countries (HIPC) | HPC | Population, total | SP.POP.TOTL | 1.624956e+08 | 1.663485e+08 | 1.703481e+08 | 1.745022e+08 | 1.788206e+08 | 1.833111e+08 | 1.879765e+08 | 1.928172e+08 | 1.978361e+08 | 2.030350e+08 | 2.084151e+08 | 2.139785e+08 | 2.197243e+08 | 2.256456e+08 | 2.317329e+08 | 2.379792e+08 | 2.443941e+08 | 2.509819e+08 | 2.577256e+08 | 2.646024e+08 | 2.716032e+08 | 2.787282e+08 | 2.860060e+08 | 2.934923e+08 | 3.012604e+08 | 3.093701e+08 | 3.178253e+08 | 3.266315e+08 | 3.358478e+08 | 3.455446e+08 | 3.557622e+08 | 3.665519e+08 | 3.778792e+08 | 3.895942e+08 | 4.014882e+08 | 4.134188e+08 | 4.253244e+08 | 4.372698e+08 | 4.493938e+08 | 4.618997e+08 | 4.749356e+08 | 4.885530e+08 | 5.027107e+08 | 5.173526e+08 | 5.323852e+08 | 5.477444e+08 | 5.634151e+08 | 5.794341e+08 | 5.958498e+08 | 6.127315e+08 | 6.301274e+08 | 6.480533e+08 | 6.664886e+08 | 6.854020e+08 | 7.047454e+08 | 7.244827e+08 | 7.446030e+08 | 7.651123e+08 |
| 97 | 97 | Croatia | HRV | Population, total | SP.POP.TOTL | 4.140000e+06 | 4.171672e+06 | 4.202104e+06 | 4.231408e+06 | 4.259680e+06 | 4.287000e+06 | 4.313000e+06 | 4.339000e+06 | 4.364000e+06 | 4.387000e+06 | 4.411000e+06 | 4.435000e+06 | 4.457000e+06 | 4.478000e+06 | 4.497000e+06 | 4.514000e+06 | 4.530000e+06 | 4.532000e+06 | 4.556000e+06 | 4.571000e+06 | 4.588000e+06 | 4.608000e+06 | 4.635000e+06 | 4.659000e+06 | 4.680000e+06 | 4.701000e+06 | 4.722000e+06 | 4.740000e+06 | 4.757000e+06 | 4.767000e+06 | 4.780000e+06 | 4.510000e+06 | 4.470000e+06 | 4.640000e+06 | 4.650000e+06 | 4.669000e+06 | 4.494000e+06 | 4.572000e+06 | 4.501000e+06 | 4.554000e+06 | 4.426000e+06 | 4.440000e+06 | 4.440000e+06 | 4.440000e+06 | 4.439000e+06 | 4.442000e+06 | 4.440000e+06 | 4.436000e+06 | 4.434508e+06 | 4.429078e+06 | 4.417781e+06 | 4.280622e+06 | 4.267558e+06 | 4.255689e+06 | 4.238389e+06 | 4.203604e+06 | 4.174349e+06 | 4.125700e+06 |
| 98 | 98 | Haiti | HTI | Population, total | SP.POP.TOTL | 3.866159e+06 | 3.943364e+06 | 4.022593e+06 | 4.103730e+06 | 4.186640e+06 | 4.271133e+06 | 4.357484e+06 | 4.445530e+06 | 4.534234e+06 | 4.622208e+06 | 4.708642e+06 | 4.793155e+06 | 4.876560e+06 | 4.960657e+06 | 5.047944e+06 | 5.140357e+06 | 5.238245e+06 | 5.341419e+06 | 5.450549e+06 | 5.566266e+06 | 5.688836e+06 | 5.818671e+06 | 5.955267e+06 | 6.096692e+06 | 6.240329e+06 | 6.384195e+06 | 6.527543e+06 | 6.670568e+06 | 6.813348e+06 | 6.956300e+06 | 7.099732e+06 | 7.243391e+06 | 7.386975e+06 | 7.530705e+06 | 7.674911e+06 | 7.819806e+06 | 7.965553e+06 | 8.111951e+06 | 8.258483e+06 | 8.404398e+06 | 8.549200e+06 | 8.692567e+06 | 8.834733e+06 | 8.976552e+06 | 9.119178e+06 | 9.263404e+06 | 9.409457e+06 | 9.556889e+06 | 9.705029e+06 | 9.852870e+06 | 9.999617e+06 | 1.014505e+07 | 1.028921e+07 | 1.043178e+07 | 1.057247e+07 | 1.071106e+07 | 1.084733e+07 | 1.098123e+07 |
| 99 | 99 | Hungary | HUN | Population, total | SP.POP.TOTL | 9.983967e+06 | 1.002932e+07 | 1.006173e+07 | 1.008795e+07 | 1.011984e+07 | 1.014794e+07 | 1.017865e+07 | 1.021660e+07 | 1.025582e+07 | 1.029872e+07 | 1.033791e+07 | 1.036754e+07 | 1.039849e+07 | 1.043206e+07 | 1.047872e+07 | 1.054052e+07 | 1.059868e+07 | 1.064803e+07 | 1.068482e+07 | 1.070415e+07 | 1.071112e+07 | 1.071185e+07 | 1.070554e+07 | 1.068946e+07 | 1.066810e+07 | 1.064871e+07 | 1.063056e+07 | 1.061274e+07 | 1.059649e+07 | 1.048172e+07 | 1.037399e+07 | 1.037340e+07 | 1.036934e+07 | 1.035752e+07 | 1.034336e+07 | 1.032896e+07 | 1.031124e+07 | 1.029049e+07 | 1.026657e+07 | 1.023753e+07 | 1.021097e+07 | 1.018758e+07 | 1.015861e+07 | 1.012955e+07 | 1.010715e+07 | 1.008706e+07 | 1.007137e+07 | 1.005578e+07 | 1.003819e+07 | 1.002265e+07 | 1.000002e+07 | 9.971727e+06 | 9.920362e+06 | 9.893082e+06 | 9.866468e+06 | 9.843028e+06 | 9.814023e+06 | 9.781127e+06 |
| 100 | 100 | IBRD only | IBD | Population, total | SP.POP.TOTL | 1.917374e+09 | 1.938089e+09 | 1.971768e+09 | 2.017341e+09 | 2.063005e+09 | 2.109874e+09 | 2.159940e+09 | 2.209648e+09 | 2.260718e+09 | 2.313952e+09 | 2.368641e+09 | 2.424660e+09 | 2.479752e+09 | 2.534560e+09 | 2.588512e+09 | 2.640676e+09 | 2.691718e+09 | 2.741669e+09 | 2.792126e+09 | 2.843527e+09 | 2.895418e+09 | 2.948771e+09 | 3.004919e+09 | 3.061651e+09 | 3.117858e+09 | 3.174933e+09 | 3.233584e+09 | 3.293767e+09 | 3.354132e+09 | 3.413637e+09 | 3.471575e+09 | 3.527565e+09 | 3.581733e+09 | 3.634875e+09 | 3.687118e+09 | 3.738698e+09 | 3.789573e+09 | 3.840453e+09 | 3.890435e+09 | 3.939169e+09 | 3.986056e+09 | 4.032085e+09 | 4.077072e+09 | 4.121739e+09 | 4.166121e+09 | 4.210445e+09 | 4.254417e+09 | 4.297927e+09 | 4.341646e+09 | 4.385943e+09 | 4.430023e+09 | 4.474451e+09 | 4.519552e+09 | 4.564885e+09 | 4.610016e+09 | 4.654714e+09 | 4.699232e+09 | 4.743264e+09 |
| 101 | 101 | IDA & IBRD total | IBT | Population, total | SP.POP.TOTL | 2.299864e+09 | 2.329889e+09 | 2.373238e+09 | 2.428869e+09 | 2.485008e+09 | 2.542785e+09 | 2.604232e+09 | 2.665770e+09 | 2.729022e+09 | 2.794659e+09 | 2.861878e+09 | 2.930529e+09 | 2.998418e+09 | 3.066319e+09 | 3.133856e+09 | 3.200230e+09 | 3.266160e+09 | 3.331645e+09 | 3.398253e+09 | 3.466364e+09 | 3.535476e+09 | 3.606561e+09 | 3.680973e+09 | 3.756520e+09 | 3.832103e+09 | 3.909126e+09 | 3.988290e+09 | 4.069535e+09 | 4.151492e+09 | 4.233121e+09 | 4.313726e+09 | 4.392786e+09 | 4.470538e+09 | 4.547599e+09 | 4.623980e+09 | 4.699924e+09 | 4.775396e+09 | 4.851072e+09 | 4.925951e+09 | 4.999779e+09 | 5.072467e+09 | 5.144856e+09 | 5.216716e+09 | 5.288758e+09 | 5.361008e+09 | 5.433668e+09 | 5.506476e+09 | 5.579376e+09 | 5.653072e+09 | 5.727964e+09 | 5.803571e+09 | 5.880131e+09 | 5.957668e+09 | 6.036113e+09 | 6.114993e+09 | 6.194063e+09 | 6.273585e+09 | 6.353205e+09 |
| 102 | 102 | IDA total | IDA | Population, total | SP.POP.TOTL | 3.824897e+08 | 3.917995e+08 | 4.014704e+08 | 4.115278e+08 | 4.220027e+08 | 4.329111e+08 | 4.442922e+08 | 4.561222e+08 | 4.683048e+08 | 4.807064e+08 | 4.932372e+08 | 5.058685e+08 | 5.186658e+08 | 5.317590e+08 | 5.453449e+08 | 5.595542e+08 | 5.744415e+08 | 5.899757e+08 | 6.061273e+08 | 6.228371e+08 | 6.400582e+08 | 6.577896e+08 | 6.760541e+08 | 6.948682e+08 | 7.142452e+08 | 7.341929e+08 | 7.547060e+08 | 7.757677e+08 | 7.973600e+08 | 8.194847e+08 | 8.421512e+08 | 8.652215e+08 | 8.888044e+08 | 9.127239e+08 | 9.368628e+08 | 9.612255e+08 | 9.858227e+08 | 1.010619e+09 | 1.035516e+09 | 1.060610e+09 | 1.086411e+09 | 1.112771e+09 | 1.139644e+09 | 1.167019e+09 | 1.194887e+09 | 1.223223e+09 | 1.252059e+09 | 1.281449e+09 | 1.311426e+09 | 1.342020e+09 | 1.373548e+09 | 1.405680e+09 | 1.438116e+09 | 1.471228e+09 | 1.504978e+09 | 1.539348e+09 | 1.574353e+09 | 1.609941e+09 |
| 103 | 103 | IDA blend | IDB | Population, total | SP.POP.TOTL | 1.231951e+08 | 1.261460e+08 | 1.292359e+08 | 1.324602e+08 | 1.358101e+08 | 1.392831e+08 | 1.428842e+08 | 1.466188e+08 | 1.504827e+08 | 1.544725e+08 | 1.585886e+08 | 1.628267e+08 | 1.671986e+08 | 1.717517e+08 | 1.765454e+08 | 1.816196e+08 | 1.869937e+08 | 1.926510e+08 | 1.985663e+08 | 2.046958e+08 | 2.110072e+08 | 2.174848e+08 | 2.241298e+08 | 2.309440e+08 | 2.379351e+08 | 2.451020e+08 | 2.524451e+08 | 2.599441e+08 | 2.675497e+08 | 2.752001e+08 | 2.828998e+08 | 2.904870e+08 | 2.981181e+08 | 3.057597e+08 | 3.134020e+08 | 3.211074e+08 | 3.289644e+08 | 3.369246e+08 | 3.449398e+08 | 3.529151e+08 | 3.610505e+08 | 3.692463e+08 | 3.775441e+08 | 3.859803e+08 | 3.946257e+08 | 4.035269e+08 | 4.127059e+08 | 4.222042e+08 | 4.320328e+08 | 4.421793e+08 | 4.529474e+08 | 4.639978e+08 | 4.749935e+08 | 4.862619e+08 | 4.977516e+08 | 5.093964e+08 | 5.211590e+08 | 5.330235e+08 |
| 104 | 104 | Indonesia | IDN | Population, total | SP.POP.TOTL | 8.779252e+07 | 9.013824e+07 | 9.255800e+07 | 9.505566e+07 | 9.763803e+07 | 1.003089e+08 | 1.030674e+08 | 1.059074e+08 | 1.088216e+08 | 1.118001e+08 | 1.148348e+08 | 1.179220e+08 | 1.210595e+08 | 1.242423e+08 | 1.274652e+08 | 1.307241e+08 | 1.340107e+08 | 1.373221e+08 | 1.406659e+08 | 1.440535e+08 | 1.474904e+08 | 1.509788e+08 | 1.545063e+08 | 1.580443e+08 | 1.615556e+08 | 1.650122e+08 | 1.684020e+08 | 1.717289e+08 | 1.750009e+08 | 1.782332e+08 | 1.814368e+08 | 1.846160e+08 | 1.877661e+08 | 1.908795e+08 | 1.939453e+08 | 1.969578e+08 | 1.999148e+08 | 2.028265e+08 | 2.057155e+08 | 2.086126e+08 | 2.115404e+08 | 2.145065e+08 | 2.175081e+08 | 2.205452e+08 | 2.236146e+08 | 2.267127e+08 | 2.298382e+08 | 2.329891e+08 | 2.361593e+08 | 2.393405e+08 | 2.425241e+08 | 2.457075e+08 | 2.488832e+08 | 2.520323e+08 | 2.551311e+08 | 2.581621e+08 | 2.611155e+08 | 2.639914e+08 |
| 105 | 105 | IDA only | IDX | Population, total | SP.POP.TOTL | 2.592947e+08 | 2.656536e+08 | 2.722345e+08 | 2.790675e+08 | 2.861926e+08 | 2.936279e+08 | 3.014080e+08 | 3.095034e+08 | 3.178222e+08 | 3.262338e+08 | 3.346486e+08 | 3.430418e+08 | 3.514672e+08 | 3.600073e+08 | 3.687994e+08 | 3.779346e+08 | 3.874478e+08 | 3.973248e+08 | 4.075610e+08 | 4.181413e+08 | 4.290510e+08 | 4.403048e+08 | 4.519242e+08 | 4.639243e+08 | 4.763101e+08 | 4.890909e+08 | 5.022609e+08 | 5.158236e+08 | 5.298103e+08 | 5.442846e+08 | 5.592514e+08 | 5.747344e+08 | 5.906863e+08 | 6.069641e+08 | 6.234608e+08 | 6.401181e+08 | 6.568583e+08 | 6.736944e+08 | 6.905763e+08 | 7.076952e+08 | 7.253601e+08 | 7.435251e+08 | 7.620999e+08 | 7.810389e+08 | 8.002610e+08 | 8.196963e+08 | 8.393534e+08 | 8.592445e+08 | 8.793931e+08 | 8.998409e+08 | 9.206007e+08 | 9.416826e+08 | 9.631227e+08 | 9.849661e+08 | 1.007226e+09 | 1.029952e+09 | 1.053194e+09 | 1.076917e+09 |
| 106 | 106 | Isle of Man | IMN | Population, total | SP.POP.TOTL | 4.844200e+04 | 4.828100e+04 | 4.841800e+04 | 4.880000e+04 | 4.939100e+04 | 5.014100e+04 | 5.104900e+04 | 5.211800e+04 | 5.325400e+04 | 5.437600e+04 | 5.542500e+04 | 5.635200e+04 | 5.715400e+04 | 5.790000e+04 | 5.865500e+04 | 5.947800e+04 | 6.042800e+04 | 6.144300e+04 | 6.240600e+04 | 6.315100e+04 | 6.355100e+04 | 6.354000e+04 | 6.319100e+04 | 6.273000e+04 | 6.248700e+04 | 6.269600e+04 | 6.344100e+04 | 6.463000e+04 | 6.604700e+04 | 6.738800e+04 | 6.842900e+04 | 6.909600e+04 | 6.947500e+04 | 6.965600e+04 | 6.981800e+04 | 7.007000e+04 | 7.043100e+04 | 7.086900e+04 | 7.139000e+04 | 7.195200e+04 | 7.255400e+04 | 7.319200e+04 | 7.387000e+04 | 7.458700e+04 | 7.534100e+04 | 7.611800e+04 | 7.691400e+04 | 7.772700e+04 | 7.853400e+04 | 7.932500e+04 | 8.007200e+04 | 8.075900e+04 | 8.140600e+04 | 8.201300e+04 | 8.259000e+04 | 8.316700e+04 | 8.373700e+04 | 8.428700e+04 |
| 107 | 107 | India | IND | Population, total | SP.POP.TOTL | 4.494806e+08 | 4.584950e+08 | 4.678525e+08 | 4.775280e+08 | 4.874845e+08 | 4.977024e+08 | 5.081619e+08 | 5.188898e+08 | 5.299673e+08 | 5.415051e+08 | 5.535785e+08 | 5.662248e+08 | 5.794115e+08 | 5.930589e+08 | 6.070503e+08 | 6.213017e+08 | 6.357717e+08 | 6.504850e+08 | 6.655023e+08 | 6.809158e+08 | 6.967835e+08 | 7.131180e+08 | 7.298680e+08 | 7.469491e+08 | 7.642452e+08 | 7.816667e+08 | 7.991814e+08 | 8.167927e+08 | 8.344893e+08 | 8.522700e+08 | 8.701335e+08 | 8.880549e+08 | 9.060211e+08 | 9.240578e+08 | 9.422042e+08 | 9.604828e+08 | 9.788932e+08 | 9.974053e+08 | 1.015974e+09 | 1.034539e+09 | 1.053051e+09 | 1.071478e+09 | 1.089807e+09 | 1.108028e+09 | 1.126136e+09 | 1.144119e+09 | 1.161978e+09 | 1.179681e+09 | 1.197147e+09 | 1.214270e+09 | 1.230981e+09 | 1.247236e+09 | 1.263066e+09 | 1.278562e+09 | 1.293859e+09 | 1.309054e+09 | 1.324171e+09 | 1.339180e+09 |
| 108 | 108 | Not classified | INX | Population, total | SP.POP.TOTL | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 109 | 109 | Ireland | IRL | Population, total | SP.POP.TOTL | 2.828600e+06 | 2.824400e+06 | 2.836050e+06 | 2.852650e+06 | 2.866550e+06 | 2.877300e+06 | 2.888800e+06 | 2.902450e+06 | 2.915550e+06 | 2.932650e+06 | 2.957250e+06 | 2.992050e+06 | 3.036850e+06 | 3.085950e+06 | 3.137500e+06 | 3.189550e+06 | 3.238050e+06 | 3.282200e+06 | 3.329100e+06 | 3.373750e+06 | 3.412800e+06 | 3.453000e+06 | 3.485800e+06 | 3.510600e+06 | 3.532423e+06 | 3.538082e+06 | 3.539690e+06 | 3.540057e+06 | 3.524949e+06 | 3.511009e+06 | 3.513974e+06 | 3.534235e+06 | 3.558430e+06 | 3.576261e+06 | 3.590386e+06 | 3.608841e+06 | 3.637510e+06 | 3.674171e+06 | 3.712696e+06 | 3.754786e+06 | 3.805174e+06 | 3.866243e+06 | 3.931947e+06 | 3.996521e+06 | 4.070262e+06 | 4.159914e+06 | 4.273591e+06 | 4.398942e+06 | 4.489544e+06 | 4.535375e+06 | 4.560155e+06 | 4.580084e+06 | 4.599533e+06 | 4.623816e+06 | 4.657740e+06 | 4.701957e+06 | 4.755335e+06 | 4.813608e+06 |
| 110 | 110 | Iran, Islamic Rep. | IRN | Population, total | SP.POP.TOTL | 2.190690e+07 | 2.248042e+07 | 2.307143e+07 | 2.368043e+07 | 2.430808e+07 | 2.495512e+07 | 2.562466e+07 | 2.631812e+07 | 2.703294e+07 | 2.776524e+07 | 2.851401e+07 | 2.928127e+07 | 3.007430e+07 | 3.090427e+07 | 3.178550e+07 | 3.273055e+07 | 3.373777e+07 | 3.481072e+07 | 3.597265e+07 | 3.725266e+07 | 3.866822e+07 | 4.021763e+07 | 4.188333e+07 | 4.364509e+07 | 4.547471e+07 | 4.734270e+07 | 4.925684e+07 | 5.119748e+07 | 5.307562e+07 | 5.477711e+07 | 5.622618e+07 | 5.737558e+07 | 5.826074e+07 | 5.899122e+07 | 5.972512e+07 | 6.057564e+07 | 6.158309e+07 | 6.271056e+07 | 6.390063e+07 | 6.506266e+07 | 6.613185e+07 | 6.709641e+07 | 6.798333e+07 | 6.881271e+07 | 6.961710e+07 | 7.042181e+07 | 7.122788e+07 | 7.203110e+07 | 7.284554e+07 | 7.368756e+07 | 7.456751e+07 | 7.549158e+07 | 7.645357e+07 | 7.743538e+07 | 7.841109e+07 | 7.936049e+07 | 8.027743e+07 | 8.116279e+07 |
| 111 | 111 | Iraq | IRQ | Population, total | SP.POP.TOTL | 7.289761e+06 | 7.475352e+06 | 7.674223e+06 | 7.888914e+06 | 8.122199e+06 | 8.375793e+06 | 8.651164e+06 | 8.947404e+06 | 9.260682e+06 | 9.585576e+06 | 9.917983e+06 | 1.025590e+07 | 1.059984e+07 | 1.095117e+07 | 1.131230e+07 | 1.168459e+07 | 1.206817e+07 | 1.246091e+07 | 1.285909e+07 | 1.325780e+07 | 1.365336e+07 | 1.404654e+07 | 1.443831e+07 | 1.482579e+07 | 1.520550e+07 | 1.557640e+07 | 1.593638e+07 | 1.629015e+07 | 1.665181e+07 | 1.704019e+07 | 1.746900e+07 | 1.794272e+07 | 1.845819e+07 | 1.901192e+07 | 1.959724e+07 | 2.020839e+07 | 2.084589e+07 | 2.150929e+07 | 2.219025e+07 | 2.287816e+07 | 2.356541e+07 | 2.425165e+07 | 2.493930e+07 | 2.562763e+07 | 2.631661e+07 | 2.700843e+07 | 2.769791e+07 | 2.839043e+07 | 2.911142e+07 | 2.989465e+07 | 3.076270e+07 | 3.172705e+07 | 3.277657e+07 | 3.388314e+07 | 3.500608e+07 | 3.611565e+07 | 3.720257e+07 | 3.827462e+07 |
| 112 | 112 | Iceland | ISL | Population, total | SP.POP.TOTL | 1.755740e+05 | 1.790290e+05 | 1.823780e+05 | 1.856530e+05 | 1.889830e+05 | 1.922860e+05 | 1.955700e+05 | 1.987510e+05 | 2.014880e+05 | 2.033690e+05 | 2.044380e+05 | 2.060980e+05 | 2.091370e+05 | 2.123170e+05 | 2.152090e+05 | 2.179790e+05 | 2.201540e+05 | 2.217990e+05 | 2.235370e+05 | 2.257350e+05 | 2.281380e+05 | 2.307550e+05 | 2.338600e+05 | 2.369770e+05 | 2.395110e+05 | 2.414050e+05 | 2.431800e+05 | 2.458590e+05 | 2.497400e+05 | 2.528520e+05 | 2.548260e+05 | 2.577970e+05 | 2.610570e+05 | 2.637250e+05 | 2.660210e+05 | 2.674680e+05 | 2.689160e+05 | 2.711280e+05 | 2.740470e+05 | 2.773810e+05 | 2.812050e+05 | 2.849680e+05 | 2.875230e+05 | 2.895210e+05 | 2.920740e+05 | 2.967340e+05 | 3.037820e+05 | 3.115660e+05 | 3.174140e+05 | 3.184990e+05 | 3.180410e+05 | 3.190140e+05 | 3.207160e+05 | 3.237640e+05 | 3.273860e+05 | 3.308150e+05 | 3.354390e+05 | 3.412840e+05 |
| 113 | 113 | Israel | ISR | Population, total | SP.POP.TOTL | 2.114020e+06 | 2.185000e+06 | 2.293000e+06 | 2.379000e+06 | 2.475000e+06 | 2.563000e+06 | 2.629000e+06 | 2.745000e+06 | 2.803000e+06 | 2.877000e+06 | 2.974000e+06 | 3.069000e+06 | 3.148000e+06 | 3.278000e+06 | 3.377000e+06 | 3.455000e+06 | 3.533000e+06 | 3.613000e+06 | 3.690000e+06 | 3.786000e+06 | 3.878000e+06 | 3.956000e+06 | 4.031000e+06 | 4.105000e+06 | 4.159000e+06 | 4.233000e+06 | 4.299000e+06 | 4.369000e+06 | 4.442000e+06 | 4.518000e+06 | 4.660000e+06 | 4.949000e+06 | 5.123000e+06 | 5.261000e+06 | 5.399000e+06 | 5.545000e+06 | 5.692000e+06 | 5.836000e+06 | 5.971000e+06 | 6.125000e+06 | 6.289000e+06 | 6.439000e+06 | 6.570000e+06 | 6.689700e+06 | 6.809000e+06 | 6.930100e+06 | 7.053700e+06 | 7.180100e+06 | 7.308800e+06 | 7.485600e+06 | 7.623600e+06 | 7.765800e+06 | 7.910500e+06 | 8.059500e+06 | 8.215700e+06 | 8.380100e+06 | 8.546000e+06 | 8.712400e+06 |
| 114 | 114 | Italy | ITA | Population, total | SP.POP.TOTL | 5.019970e+07 | 5.053635e+07 | 5.087945e+07 | 5.125200e+07 | 5.167535e+07 | 5.211235e+07 | 5.251900e+07 | 5.290050e+07 | 5.323575e+07 | 5.353795e+07 | 5.382185e+07 | 5.407349e+07 | 5.438134e+07 | 5.475141e+07 | 5.511087e+07 | 5.544100e+07 | 5.571826e+07 | 5.595541e+07 | 5.615514e+07 | 5.631775e+07 | 5.643388e+07 | 5.650168e+07 | 5.654355e+07 | 5.656407e+07 | 5.657672e+07 | 5.659307e+07 | 5.659616e+07 | 5.660193e+07 | 5.662929e+07 | 5.667178e+07 | 5.671924e+07 | 5.675852e+07 | 5.679709e+07 | 5.683182e+07 | 5.684340e+07 | 5.684430e+07 | 5.686028e+07 | 5.689037e+07 | 5.690674e+07 | 5.691632e+07 | 5.694211e+07 | 5.697410e+07 | 5.705901e+07 | 5.731320e+07 | 5.768533e+07 | 5.796948e+07 | 5.814398e+07 | 5.843831e+07 | 5.882673e+07 | 5.909536e+07 | 5.927742e+07 | 5.937945e+07 | 5.953972e+07 | 6.023395e+07 | 6.078914e+07 | 6.073058e+07 | 6.062750e+07 | 6.055142e+07 |
| 115 | 115 | Jamaica | JAM | Population, total | SP.POP.TOTL | 1.628252e+06 | 1.650806e+06 | 1.676250e+06 | 1.703395e+06 | 1.730486e+06 | 1.756266e+06 | 1.780264e+06 | 1.803064e+06 | 1.825633e+06 | 1.849414e+06 | 1.875381e+06 | 1.904016e+06 | 1.934828e+06 | 1.966700e+06 | 1.998034e+06 | 2.027737e+06 | 2.055085e+06 | 2.080538e+06 | 2.105664e+06 | 2.132690e+06 | 2.163045e+06 | 2.197583e+06 | 2.235327e+06 | 2.273666e+06 | 2.308947e+06 | 2.338638e+06 | 2.361720e+06 | 2.379279e+06 | 2.393534e+06 | 2.407720e+06 | 2.424242e+06 | 2.443689e+06 | 2.465362e+06 | 2.488782e+06 | 2.513049e+06 | 2.537440e+06 | 2.561993e+06 | 2.586827e+06 | 2.611367e+06 | 2.634882e+06 | 2.656864e+06 | 2.677011e+06 | 2.695446e+06 | 2.712511e+06 | 2.728777e+06 | 2.744673e+06 | 2.760279e+06 | 2.775467e+06 | 2.790122e+06 | 2.804082e+06 | 2.817210e+06 | 2.829493e+06 | 2.840992e+06 | 2.851807e+06 | 2.862087e+06 | 2.871934e+06 | 2.881355e+06 | 2.890299e+06 |
| 116 | 116 | Jordan | JOR | Population, total | SP.POP.TOTL | 9.322570e+05 | 9.730830e+05 | 1.009733e+06 | 1.049302e+06 | 1.101459e+06 | 1.172550e+06 | 1.265806e+06 | 1.377465e+06 | 1.498309e+06 | 1.615277e+06 | 1.718913e+06 | 1.806605e+06 | 1.881214e+06 | 1.945626e+06 | 2.004833e+06 | 2.062918e+06 | 2.120069e+06 | 2.176135e+06 | 2.234594e+06 | 2.299655e+06 | 2.374422e+06 | 2.461193e+06 | 2.559718e+06 | 2.667470e+06 | 2.780428e+06 | 2.895985e+06 | 3.011300e+06 | 3.127917e+06 | 3.252672e+06 | 3.395023e+06 | 3.560582e+06 | 3.753433e+06 | 3.968198e+06 | 4.189431e+06 | 4.395953e+06 | 4.572904e+06 | 4.716373e+06 | 4.832267e+06 | 4.927912e+06 | 5.014899e+06 | 5.103130e+06 | 5.193482e+06 | 5.287488e+06 | 5.396774e+06 | 5.535595e+06 | 5.714111e+06 | 5.934232e+06 | 6.193191e+06 | 6.489822e+06 | 6.821116e+06 | 7.182390e+06 | 7.574943e+06 | 7.992573e+06 | 8.413464e+06 | 8.809306e+06 | 9.159302e+06 | 9.455802e+06 | 9.702353e+06 |
| 117 | 117 | Japan | JPN | Population, total | SP.POP.TOTL | 9.250057e+07 | 9.494300e+07 | 9.583200e+07 | 9.681200e+07 | 9.782600e+07 | 9.888300e+07 | 9.979000e+07 | 1.007250e+08 | 1.010610e+08 | 1.031720e+08 | 1.043450e+08 | 1.056970e+08 | 1.071880e+08 | 1.080790e+08 | 1.101620e+08 | 1.119400e+08 | 1.127710e+08 | 1.138630e+08 | 1.148980e+08 | 1.158700e+08 | 1.167820e+08 | 1.176480e+08 | 1.184490e+08 | 1.192590e+08 | 1.200180e+08 | 1.207540e+08 | 1.214920e+08 | 1.220910e+08 | 1.226130e+08 | 1.231160e+08 | 1.235370e+08 | 1.239210e+08 | 1.242290e+08 | 1.245360e+08 | 1.249610e+08 | 1.254390e+08 | 1.257570e+08 | 1.260570e+08 | 1.264000e+08 | 1.266310e+08 | 1.268430e+08 | 1.271490e+08 | 1.274450e+08 | 1.277180e+08 | 1.277610e+08 | 1.277730e+08 | 1.278540e+08 | 1.280010e+08 | 1.280630e+08 | 1.280470e+08 | 1.280700e+08 | 1.278330e+08 | 1.276290e+08 | 1.274450e+08 | 1.272760e+08 | 1.271410e+08 | 1.269945e+08 | 1.267858e+08 |
| 118 | 118 | Kazakhstan | KAZ | Population, total | SP.POP.TOTL | 9.714260e+06 | 1.012986e+07 | 1.053206e+07 | 1.091355e+07 | 1.126733e+07 | 1.158887e+07 | 1.187294e+07 | 1.212050e+07 | 1.234141e+07 | 1.255012e+07 | 1.275724e+07 | 1.296692e+07 | 1.317658e+07 | 1.338221e+07 | 1.357705e+07 | 1.375679e+07 | 1.392010e+07 | 1.407068e+07 | 1.421511e+07 | 1.436242e+07 | 1.451892e+07 | 1.468379e+07 | 1.485399e+07 | 1.503050e+07 | 1.521405e+07 | 1.540301e+07 | 1.560093e+07 | 1.580175e+07 | 1.598251e+07 | 1.624950e+07 | 1.634800e+07 | 1.645050e+07 | 1.643910e+07 | 1.633042e+07 | 1.609520e+07 | 1.581563e+07 | 1.557789e+07 | 1.533370e+07 | 1.507130e+07 | 1.492843e+07 | 1.488363e+07 | 1.485834e+07 | 1.485895e+07 | 1.490902e+07 | 1.501298e+07 | 1.514703e+07 | 1.530808e+07 | 1.548419e+07 | 1.567400e+07 | 1.609282e+07 | 1.632187e+07 | 1.655720e+07 | 1.679209e+07 | 1.703555e+07 | 1.728828e+07 | 1.754281e+07 | 1.779406e+07 | 1.803765e+07 |
| 119 | 119 | Kenya | KEN | Population, total | SP.POP.TOTL | 8.105440e+06 | 8.361441e+06 | 8.628972e+06 | 8.908422e+06 | 9.200157e+06 | 9.504703e+06 | 9.822499e+06 | 1.015448e+07 | 1.050224e+07 | 1.086772e+07 | 1.125249e+07 | 1.165751e+07 | 1.208319e+07 | 1.252985e+07 | 1.299760e+07 | 1.348663e+07 | 1.399670e+07 | 1.452829e+07 | 1.508299e+07 | 1.566285e+07 | 1.626899e+07 | 1.690168e+07 | 1.755943e+07 | 1.823940e+07 | 1.893774e+07 | 1.965122e+07 | 2.037863e+07 | 2.111932e+07 | 2.187144e+07 | 2.263302e+07 | 2.340251e+07 | 2.417960e+07 | 2.496395e+07 | 2.575411e+07 | 2.654849e+07 | 2.734646e+07 | 2.814773e+07 | 2.895411e+07 | 2.976980e+07 | 3.060040e+07 | 3.145048e+07 | 3.232148e+07 | 3.321401e+07 | 3.413085e+07 | 3.507493e+07 | 3.604829e+07 | 3.705205e+07 | 3.808591e+07 | 3.914842e+07 | 4.023720e+07 | 4.135015e+07 | 4.248684e+07 | 4.364663e+07 | 4.482685e+07 | 4.602425e+07 | 4.723626e+07 | 4.846157e+07 | 4.969986e+07 |
| 120 | 120 | Kyrgyz Republic | KGZ | Population, total | SP.POP.TOTL | 2.172300e+06 | 2.255900e+06 | 2.333400e+06 | 2.413700e+06 | 2.495300e+06 | 2.573300e+06 | 2.655300e+06 | 2.736500e+06 | 2.818300e+06 | 2.894800e+06 | 2.959900e+06 | 3.022300e+06 | 3.088200e+06 | 3.153800e+06 | 3.223900e+06 | 3.292400e+06 | 3.358700e+06 | 3.423900e+06 | 3.487100e+06 | 3.552000e+06 | 3.617400e+06 | 3.685800e+06 | 3.759300e+06 | 3.838300e+06 | 3.916400e+06 | 3.990300e+06 | 4.066500e+06 | 4.144600e+06 | 4.218400e+06 | 4.307500e+06 | 4.391200e+06 | 4.463600e+06 | 4.515400e+06 | 4.516700e+06 | 4.515100e+06 | 4.560400e+06 | 4.628400e+06 | 4.696400e+06 | 4.769000e+06 | 4.840400e+06 | 4.898400e+06 | 4.945100e+06 | 4.990700e+06 | 5.043300e+06 | 5.104700e+06 | 5.162600e+06 | 5.218400e+06 | 5.268400e+06 | 5.318700e+06 | 5.383300e+06 | 5.447900e+06 | 5.514600e+06 | 5.607200e+06 | 5.719600e+06 | 5.835500e+06 | 5.956900e+06 | 6.079500e+06 | 6.201500e+06 |
| 121 | 121 | Cambodia | KHM | Population, total | SP.POP.TOTL | 5.722370e+06 | 5.873015e+06 | 6.028551e+06 | 6.183747e+06 | 6.331583e+06 | 6.467197e+06 | 6.584766e+06 | 6.685321e+06 | 6.778723e+06 | 6.879184e+06 | 6.994848e+06 | 7.137749e+06 | 7.300152e+06 | 7.447285e+06 | 7.531424e+06 | 7.522593e+06 | 7.402873e+06 | 7.194279e+06 | 6.955566e+06 | 6.768724e+06 | 6.692107e+06 | 6.748193e+06 | 6.918101e+06 | 7.168236e+06 | 7.446019e+06 | 7.712978e+06 | 7.958976e+06 | 8.196037e+06 | 8.433798e+06 | 8.689152e+06 | 8.973342e+06 | 9.286976e+06 | 9.621504e+06 | 9.968275e+06 | 1.031538e+07 | 1.065356e+07 | 1.098027e+07 | 1.129588e+07 | 1.159774e+07 | 1.188364e+07 | 1.215235e+07 | 1.240247e+07 | 1.263473e+07 | 1.285312e+07 | 1.306338e+07 | 1.327020e+07 | 1.347449e+07 | 1.367669e+07 | 1.388051e+07 | 1.409021e+07 | 1.430874e+07 | 1.453789e+07 | 1.477687e+07 | 1.502269e+07 | 1.527079e+07 | 1.551764e+07 | 1.576237e+07 | 1.600537e+07 |
| 122 | 122 | Kiribati | KIR | Population, total | SP.POP.TOTL | 4.123300e+04 | 4.225700e+04 | 4.330200e+04 | 4.436300e+04 | 4.542500e+04 | 4.645300e+04 | 4.745900e+04 | 4.843700e+04 | 4.938800e+04 | 5.029400e+04 | 5.117800e+04 | 5.202500e+04 | 5.282400e+04 | 5.360400e+04 | 5.438000e+04 | 5.516900e+04 | 5.597700e+04 | 5.681000e+04 | 5.766200e+04 | 5.850600e+04 | 5.933900e+04 | 6.013300e+04 | 6.092000e+04 | 6.176800e+04 | 6.276500e+04 | 6.400300e+04 | 6.551800e+04 | 6.726100e+04 | 6.909800e+04 | 7.086000e+04 | 7.241200e+04 | 7.370000e+04 | 7.476900e+04 | 7.571900e+04 | 7.667100e+04 | 7.773000e+04 | 7.890700e+04 | 8.018400e+04 | 8.155000e+04 | 8.296600e+04 | 8.440600e+04 | 8.585800e+04 | 8.734300e+04 | 8.889500e+04 | 9.054200e+04 | 9.232500e+04 | 9.426000e+04 | 9.631100e+04 | 9.844000e+04 | 1.005680e+05 | 1.026520e+05 | 1.046560e+05 | 1.066130e+05 | 1.085350e+05 | 1.104580e+05 | 1.124070e+05 | 1.143950e+05 | 1.163980e+05 |
| 123 | 123 | St. Kitts and Nevis | KNA | Population, total | SP.POP.TOTL | 5.119500e+04 | 5.119300e+04 | 5.096600e+04 | 5.052500e+04 | 4.993000e+04 | 4.921400e+04 | 4.835800e+04 | 4.738000e+04 | 4.640200e+04 | 4.553400e+04 | 4.488500e+04 | 4.449500e+04 | 4.432600e+04 | 4.431600e+04 | 4.433100e+04 | 4.427600e+04 | 4.414800e+04 | 4.394200e+04 | 4.370300e+04 | 4.345700e+04 | 4.321000e+04 | 4.297600e+04 | 4.276200e+04 | 4.254200e+04 | 4.229400e+04 | 4.201300e+04 | 4.169700e+04 | 4.135100e+04 | 4.104700e+04 | 4.085200e+04 | 4.083400e+04 | 4.101300e+04 | 4.136100e+04 | 4.184600e+04 | 4.237300e+04 | 4.289100e+04 | 4.337300e+04 | 4.384600e+04 | 4.431700e+04 | 4.482400e+04 | 4.537400e+04 | 4.599000e+04 | 4.664100e+04 | 4.730600e+04 | 4.797100e+04 | 4.861100e+04 | 4.921000e+04 | 4.978300e+04 | 5.033200e+04 | 5.088600e+04 | 5.144500e+04 | 5.200600e+04 | 5.259100e+04 | 5.316900e+04 | 5.373900e+04 | 5.428800e+04 | 5.482100e+04 | 5.534500e+04 |
| 124 | 124 | Korea, Rep. | KOR | Population, total | SP.POP.TOTL | 2.501237e+07 | 2.576567e+07 | 2.651303e+07 | 2.726175e+07 | 2.798416e+07 | 2.870467e+07 | 2.943557e+07 | 3.013098e+07 | 3.083830e+07 | 3.154427e+07 | 3.224083e+07 | 3.288270e+07 | 3.350541e+07 | 3.410315e+07 | 3.469227e+07 | 3.528072e+07 | 3.584852e+07 | 3.641180e+07 | 3.696918e+07 | 3.753424e+07 | 3.812378e+07 | 3.872325e+07 | 3.932635e+07 | 3.991040e+07 | 4.040596e+07 | 4.080574e+07 | 4.121367e+07 | 4.162169e+07 | 4.203125e+07 | 4.244904e+07 | 4.286928e+07 | 4.329570e+07 | 4.374796e+07 | 4.419463e+07 | 4.464154e+07 | 4.509299e+07 | 4.552468e+07 | 4.595358e+07 | 4.628650e+07 | 4.661668e+07 | 4.700811e+07 | 4.737016e+07 | 4.764474e+07 | 4.789233e+07 | 4.808252e+07 | 4.818456e+07 | 4.843829e+07 | 4.868364e+07 | 4.905471e+07 | 4.930784e+07 | 4.955411e+07 | 4.993664e+07 | 5.019985e+07 | 5.042889e+07 | 5.074666e+07 | 5.101495e+07 | 5.124571e+07 | 5.146620e+07 |
| 125 | 125 | Kuwait | KWT | Population, total | SP.POP.TOTL | 2.696180e+05 | 3.013360e+05 | 3.382960e+05 | 3.798910e+05 | 4.252350e+05 | 4.735540e+05 | 5.248560e+05 | 5.790070e+05 | 6.348970e+05 | 6.911290e+05 | 7.467670e+05 | 8.011420e+05 | 8.546040e+05 | 9.085200e+05 | 9.648340e+05 | 1.024940e+06 | 1.089209e+06 | 1.157033e+06 | 1.227601e+06 | 1.299683e+06 | 1.372318e+06 | 1.442991e+06 | 1.511314e+06 | 1.580638e+06 | 1.655833e+06 | 1.738994e+06 | 1.836105e+06 | 1.942810e+06 | 2.038885e+06 | 2.096932e+06 | 2.099615e+06 | 2.035661e+06 | NaN | NaN | NaN | 1.610651e+06 | 1.631740e+06 | 1.715314e+06 | 1.836353e+06 | 1.957066e+06 | 2.050741e+06 | 2.109355e+06 | 2.143833e+06 | 2.169118e+06 | 2.207939e+06 | 2.276623e+06 | 2.377258e+06 | 2.503410e+06 | 2.652340e+06 | 2.818939e+06 | 2.998083e+06 | 3.191051e+06 | 3.395556e+06 | 3.598385e+06 | 3.782450e+06 | 3.935794e+06 | 4.052584e+06 | 4.136528e+06 |
| 126 | 126 | Latin America & Caribbean (excluding high income) | LAC | Population, total | SP.POP.TOTL | 1.845365e+08 | 1.900210e+08 | 1.956977e+08 | 2.015368e+08 | 2.074965e+08 | 2.135450e+08 | 2.196708e+08 | 2.258772e+08 | 2.321659e+08 | 2.385435e+08 | 2.450139e+08 | 2.515733e+08 | 2.582151e+08 | 2.649374e+08 | 2.717386e+08 | 2.786168e+08 | 2.855667e+08 | 2.925842e+08 | 2.996704e+08 | 3.068280e+08 | 3.140561e+08 | 3.213549e+08 | 3.287148e+08 | 3.361138e+08 | 3.435231e+08 | 3.509214e+08 | 3.582941e+08 | 3.656426e+08 | 3.729815e+08 | 3.803339e+08 | 3.877139e+08 | 3.951215e+08 | 4.025405e+08 | 4.099494e+08 | 4.173192e+08 | 4.246260e+08 | 4.318688e+08 | 4.390450e+08 | 4.461289e+08 | 4.530895e+08 | 4.599087e+08 | 4.665700e+08 | 4.730880e+08 | 4.795145e+08 | 4.859215e+08 | 4.923606e+08 | 4.988475e+08 | 5.053659e+08 | 5.118964e+08 | 5.184068e+08 | 5.248708e+08 | 5.312836e+08 | 5.376457e+08 | 5.439408e+08 | 5.501499e+08 | 5.562579e+08 | 5.622548e+08 | 5.681368e+08 |
| 127 | 127 | Lao PDR | LAO | Population, total | SP.POP.TOTL | 2.120896e+06 | 2.170343e+06 | 2.221122e+06 | 2.273349e+06 | 2.327137e+06 | 2.382594e+06 | 2.439196e+06 | 2.496920e+06 | 2.556852e+06 | 2.620434e+06 | 2.688428e+06 | 2.762265e+06 | 2.840841e+06 | 2.919287e+06 | 2.990965e+06 | 3.051577e+06 | 3.098973e+06 | 3.135842e+06 | 3.168843e+06 | 3.207328e+06 | 3.258144e+06 | 3.323377e+06 | 3.401242e+06 | 3.489977e+06 | 3.586381e+06 | 3.687898e+06 | 3.794043e+06 | 3.905163e+06 | 4.020295e+06 | 4.138408e+06 | 4.258472e+06 | 4.380073e+06 | 4.502363e+06 | 4.623280e+06 | 4.740380e+06 | 4.851923e+06 | 4.957180e+06 | 5.056519e+06 | 5.150763e+06 | 5.241284e+06 | 5.329304e+06 | 5.414568e+06 | 5.497273e+06 | 5.579656e+06 | 5.664605e+06 | 5.754026e+06 | 5.849356e+06 | 5.949787e+06 | 6.052190e+06 | 6.152036e+06 | 6.246274e+06 | 6.333487e+06 | 6.415169e+06 | 6.494557e+06 | 6.576397e+06 | 6.663967e+06 | 6.758353e+06 | 6.858160e+06 |
| 128 | 128 | Lebanon | LBN | Population, total | SP.POP.TOTL | 1.804926e+06 | 1.864605e+06 | 1.925276e+06 | 1.984980e+06 | 2.041207e+06 | 2.092348e+06 | 2.136636e+06 | 2.174845e+06 | 2.210959e+06 | 2.250602e+06 | 2.297389e+06 | 2.353555e+06 | 2.416735e+06 | 2.480419e+06 | 2.535497e+06 | 2.575690e+06 | 2.598354e+06 | 2.606221e+06 | 2.604865e+06 | 2.602566e+06 | 2.605293e+06 | 2.615747e+06 | 2.632276e+06 | 2.651292e+06 | 2.667220e+06 | 2.676583e+06 | 2.677280e+06 | 2.672173e+06 | 2.668585e+06 | 2.676605e+06 | 2.703016e+06 | 2.752462e+06 | 2.821862e+06 | 2.900854e+06 | 2.974640e+06 | 3.033394e+06 | 3.070960e+06 | 3.092670e+06 | 3.113951e+06 | 3.156646e+06 | 3.235366e+06 | 3.359859e+06 | 3.522837e+06 | 3.701464e+06 | 3.863267e+06 | 3.986852e+06 | 4.057350e+06 | 4.086466e+06 | 4.111047e+06 | 4.183156e+06 | 4.337141e+06 | 4.588368e+06 | 4.916404e+06 | 5.276102e+06 | 5.603279e+06 | 5.851479e+06 | 6.006668e+06 | 6.082357e+06 |
| 129 | 129 | Liberia | LBR | Population, total | SP.POP.TOTL | 1.120313e+06 | 1.144986e+06 | 1.170480e+06 | 1.196890e+06 | 1.224344e+06 | 1.252972e+06 | 1.282814e+06 | 1.313941e+06 | 1.346491e+06 | 1.380637e+06 | 1.416529e+06 | 1.454198e+06 | 1.493711e+06 | 1.535229e+06 | 1.578952e+06 | 1.625013e+06 | 1.672300e+06 | 1.720489e+06 | 1.771256e+06 | 1.826881e+06 | 1.888314e+06 | 1.957456e+06 | 2.031850e+06 | 2.102911e+06 | 2.159089e+06 | 2.192555e+06 | 2.201833e+06 | 2.191023e+06 | 2.165090e+06 | 2.131525e+06 | 2.097232e+06 | 2.060267e+06 | 2.022729e+06 | 2.000248e+06 | 2.012885e+06 | 2.073482e+06 | 2.191179e+06 | 2.358469e+06 | 2.551062e+06 | 2.734518e+06 | 2.884522e+06 | 2.991132e+06 | 3.062863e+06 | 3.116233e+06 | 3.176414e+06 | 3.261230e+06 | 3.375838e+06 | 3.512932e+06 | 3.662993e+06 | 3.811528e+06 | 3.948125e+06 | 4.070167e+06 | 4.181563e+06 | 4.286291e+06 | 4.390737e+06 | 4.499621e+06 | 4.613823e+06 | 4.731906e+06 |
| 130 | 130 | Libya | LBY | Population, total | SP.POP.TOTL | 1.448417e+06 | 1.498071e+06 | 1.550813e+06 | 1.607171e+06 | 1.667825e+06 | 1.733306e+06 | 1.803683e+06 | 1.878877e+06 | 1.958914e+06 | 2.043818e+06 | 2.133526e+06 | 2.228146e+06 | 2.327490e+06 | 2.430755e+06 | 2.536888e+06 | 2.645139e+06 | 2.754696e+06 | 2.865637e+06 | 2.979093e+06 | 3.096729e+06 | 3.219466e+06 | 3.347781e+06 | 3.480454e+06 | 3.614689e+06 | 3.746715e+06 | 3.873781e+06 | 3.994591e+06 | 4.109703e+06 | 4.220418e+06 | 4.328914e+06 | 4.436661e+06 | 4.544293e+06 | 4.651004e+06 | 4.755289e+06 | 4.855003e+06 | 4.948798e+06 | 5.035884e+06 | 5.117269e+06 | 5.195502e+06 | 5.274163e+06 | 5.355751e+06 | 5.440566e+06 | 5.527515e+06 | 5.615952e+06 | 5.704759e+06 | 5.792688e+06 | 5.881435e+06 | 5.970362e+06 | 6.053078e+06 | 6.121053e+06 | 6.169140e+06 | 6.193501e+06 | 6.198258e+06 | 6.195970e+06 | 6.204108e+06 | 6.234955e+06 | 6.293253e+06 | 6.374616e+06 |
| 131 | 131 | St. Lucia | LCA | Population, total | SP.POP.TOTL | 8.989700e+04 | 9.091400e+04 | 9.208400e+04 | 9.339900e+04 | 9.481400e+04 | 9.630200e+04 | 9.788100e+04 | 9.952700e+04 | 1.011790e+05 | 1.027490e+05 | 1.041600e+05 | 1.053900e+05 | 1.064550e+05 | 1.074660e+05 | 1.085320e+05 | 1.097690e+05 | 1.112080e+05 | 1.128310e+05 | 1.145460e+05 | 1.162900e+05 | 1.179870e+05 | 1.195940e+05 | 1.211540e+05 | 1.227400e+05 | 1.244680e+05 | 1.264180e+05 | 1.286190e+05 | 1.310340e+05 | 1.335330e+05 | 1.359560e+05 | 1.381850e+05 | 1.401560e+05 | 1.419250e+05 | 1.435650e+05 | 1.452470e+05 | 1.470440e+05 | 1.490040e+05 | 1.510860e+05 | 1.531830e+05 | 1.551720e+05 | 1.569490e+05 | 1.584640e+05 | 1.597630e+05 | 1.609730e+05 | 1.622510e+05 | 1.637140e+05 | 1.654070e+05 | 1.672880e+05 | 1.692200e+05 | 1.710220e+05 | 1.725800e+05 | 1.738320e+05 | 1.748350e+05 | 1.756600e+05 | 1.764210e+05 | 1.772060e+05 | 1.780150e+05 | 1.788440e+05 |
| 132 | 132 | Latin America & Caribbean | LCN | Population, total | SP.POP.TOTL | 2.204347e+08 | 2.265645e+08 | 2.328973e+08 | 2.394013e+08 | 2.460164e+08 | 2.527103e+08 | 2.594687e+08 | 2.662959e+08 | 2.732090e+08 | 2.802258e+08 | 2.873614e+08 | 2.946201e+08 | 3.019844e+08 | 3.094470e+08 | 3.169876e+08 | 3.245908e+08 | 3.322478e+08 | 3.399564e+08 | 3.477353e+08 | 3.555931e+08 | 3.635434e+08 | 3.715810e+08 | 3.796977e+08 | 3.878682e+08 | 3.960594e+08 | 4.042468e+08 | 4.124136e+08 | 4.205608e+08 | 4.287013e+08 | 4.368571e+08 | 4.450445e+08 | 4.532516e+08 | 4.614668e+08 | 4.696735e+08 | 4.778325e+08 | 4.859131e+08 | 4.939205e+08 | 5.018378e+08 | 5.096650e+08 | 5.173243e+08 | 5.248293e+08 | 5.321727e+08 | 5.393720e+08 | 5.464787e+08 | 5.535631e+08 | 5.606740e+08 | 5.678217e+08 | 5.749944e+08 | 5.821798e+08 | 5.893493e+08 | 5.964785e+08 | 6.035371e+08 | 6.105479e+08 | 6.174957e+08 | 6.243355e+08 | 6.310627e+08 | 6.376639e+08 | 6.441377e+08 |
| 133 | 133 | Least developed countries: UN classification | LDC | Population, total | SP.POP.TOTL | 2.407422e+08 | 2.464065e+08 | 2.522643e+08 | 2.583527e+08 | 2.647218e+08 | 2.714005e+08 | 2.784199e+08 | 2.857515e+08 | 2.932928e+08 | 3.009026e+08 | 3.084864e+08 | 3.160046e+08 | 3.235065e+08 | 3.310952e+08 | 3.389203e+08 | 3.470931e+08 | 3.556536e+08 | 3.645812e+08 | 3.738544e+08 | 3.834299e+08 | 3.932793e+08 | 4.034087e+08 | 4.138466e+08 | 4.246139e+08 | 4.357377e+08 | 4.472410e+08 | 4.591157e+08 | 4.713649e+08 | 4.840331e+08 | 4.971769e+08 | 5.108276e+08 | 5.250204e+08 | 5.397204e+08 | 5.548042e+08 | 5.701020e+08 | 5.854962e+08 | 6.009262e+08 | 6.164370e+08 | 6.321468e+08 | 6.482291e+08 | 6.648048e+08 | 6.819322e+08 | 6.995607e+08 | 7.175729e+08 | 7.357966e+08 | 7.541181e+08 | 7.724890e+08 | 7.909781e+08 | 8.097310e+08 | 8.289533e+08 | 8.487920e+08 | 8.692981e+08 | 8.904235e+08 | 9.120940e+08 | 9.341923e+08 | 9.566311e+08 | 9.793879e+08 | 1.002486e+09 |
| 134 | 134 | Low income | LIC | Population, total | SP.POP.TOTL | 1.665028e+08 | 1.702108e+08 | 1.740135e+08 | 1.779503e+08 | 1.820776e+08 | 1.864347e+08 | 1.910354e+08 | 1.958631e+08 | 2.008901e+08 | 2.060743e+08 | 2.113851e+08 | 2.168150e+08 | 2.223723e+08 | 2.280604e+08 | 2.338872e+08 | 2.398591e+08 | 2.459870e+08 | 2.522718e+08 | 2.587005e+08 | 2.652539e+08 | 2.719259e+08 | 2.787163e+08 | 2.856535e+08 | 2.927960e+08 | 3.002203e+08 | 3.079870e+08 | 3.161057e+08 | 3.245770e+08 | 3.334382e+08 | 3.427300e+08 | 3.524732e+08 | 3.627056e+08 | 3.734029e+08 | 3.844478e+08 | 3.956784e+08 | 4.069838e+08 | 4.183180e+08 | 4.297306e+08 | 4.413254e+08 | 4.532547e+08 | 4.656313e+08 | 4.784780e+08 | 4.917650e+08 | 5.054886e+08 | 5.196309e+08 | 5.341726e+08 | 5.491355e+08 | 5.645143e+08 | 5.802291e+08 | 5.961729e+08 | 6.122747e+08 | 6.285047e+08 | 6.449019e+08 | 6.615506e+08 | 6.785721e+08 | 6.960585e+08 | 7.140223e+08 | 7.324486e+08 |
| 135 | 135 | Liechtenstein | LIE | Population, total | SP.POP.TOTL | 1.649500e+04 | 1.689400e+04 | 1.729000e+04 | 1.771800e+04 | 1.817000e+04 | 1.864900e+04 | 1.915300e+04 | 1.969100e+04 | 2.023600e+04 | 2.076500e+04 | 2.126500e+04 | 2.172600e+04 | 2.215100e+04 | 2.256300e+04 | 2.298100e+04 | 2.343200e+04 | 2.392600e+04 | 2.444000e+04 | 2.496200e+04 | 2.544700e+04 | 2.586600e+04 | 2.622400e+04 | 2.651500e+04 | 2.676500e+04 | 2.701100e+04 | 2.725700e+04 | 2.752400e+04 | 2.780200e+04 | 2.809500e+04 | 2.840700e+04 | 2.874700e+04 | 2.910800e+04 | 2.949700e+04 | 2.991900e+04 | 3.036500e+04 | 3.083300e+04 | 3.132500e+04 | 3.183800e+04 | 3.235500e+04 | 3.284200e+04 | 3.328600e+04 | 3.367100e+04 | 3.401800e+04 | 3.432100e+04 | 3.459600e+04 | 3.485200e+04 | 3.509500e+04 | 3.532200e+04 | 3.554100e+04 | 3.576600e+04 | 3.600300e+04 | 3.626400e+04 | 3.654500e+04 | 3.683400e+04 | 3.712700e+04 | 3.740300e+04 | 3.766600e+04 | 3.792200e+04 |
| 136 | 136 | Sri Lanka | LKA | Population, total | SP.POP.TOTL | 9.874481e+06 | 1.011165e+07 | 1.035219e+07 | 1.059752e+07 | 1.084998e+07 | 1.111083e+07 | 1.138068e+07 | 1.165766e+07 | 1.193761e+07 | 1.221497e+07 | 1.248576e+07 | 1.274784e+07 | 1.300228e+07 | 1.325209e+07 | 1.350199e+07 | 1.375516e+07 | 1.401282e+07 | 1.427327e+07 | 1.453338e+07 | 1.478861e+07 | 1.503586e+07 | 1.527339e+07 | 1.550252e+07 | 1.572680e+07 | 1.595142e+07 | 1.617980e+07 | 1.641271e+07 | 1.664794e+07 | 1.688219e+07 | 1.711071e+07 | 1.732971e+07 | 1.753963e+07 | 1.774064e+07 | 1.792858e+07 | 1.809835e+07 | 1.824712e+07 | 1.837212e+07 | 1.847650e+07 | 1.857070e+07 | 1.866910e+07 | 1.878194e+07 | 1.891305e+07 | 1.905930e+07 | 1.921531e+07 | 1.937254e+07 | 1.952456e+07 | 1.967015e+07 | 1.981079e+07 | 1.994583e+07 | 2.007509e+07 | 2.019835e+07 | 2.031502e+07 | 2.042500e+07 | 2.058500e+07 | 2.077100e+07 | 2.096600e+07 | 2.120300e+07 | 2.144400e+07 |
| 137 | 137 | Lower middle income | LMC | Population, total | SP.POP.TOTL | 9.345867e+08 | 9.559434e+08 | 9.780334e+08 | 1.000820e+09 | 1.024254e+09 | 1.048295e+09 | 1.072943e+09 | 1.098202e+09 | 1.124071e+09 | 1.150552e+09 | 1.177647e+09 | 1.205371e+09 | 1.233748e+09 | 1.262819e+09 | 1.292663e+09 | 1.323320e+09 | 1.354785e+09 | 1.387057e+09 | 1.420226e+09 | 1.454422e+09 | 1.489702e+09 | 1.526127e+09 | 1.563490e+09 | 1.601719e+09 | 1.640549e+09 | 1.679743e+09 | 1.719270e+09 | 1.759107e+09 | 1.799200e+09 | 1.839451e+09 | 1.881675e+09 | 1.921979e+09 | 1.962375e+09 | 2.002606e+09 | 2.042431e+09 | 2.082090e+09 | 2.121804e+09 | 2.161550e+09 | 2.201140e+09 | 2.240561e+09 | 2.280235e+09 | 2.320036e+09 | 2.359924e+09 | 2.399909e+09 | 2.439909e+09 | 2.479865e+09 | 2.519782e+09 | 2.559728e+09 | 2.599821e+09 | 2.640212e+09 | 2.681265e+09 | 2.722672e+09 | 2.764106e+09 | 2.805846e+09 | 2.847559e+09 | 2.889350e+09 | 2.931076e+09 | 2.972643e+09 |
| 138 | 138 | Low & middle income | LMY | Population, total | SP.POP.TOTL | 2.251658e+09 | 2.281122e+09 | 2.323868e+09 | 2.378831e+09 | 2.434305e+09 | 2.491586e+09 | 2.552656e+09 | 2.613785e+09 | 2.676649e+09 | 2.741955e+09 | 2.808967e+09 | 2.877389e+09 | 2.944882e+09 | 3.012331e+09 | 3.079360e+09 | 3.145167e+09 | 3.210476e+09 | 3.275315e+09 | 3.341276e+09 | 3.408721e+09 | 3.477110e+09 | 3.547465e+09 | 3.621125e+09 | 3.695912e+09 | 3.770747e+09 | 3.847060e+09 | 3.925563e+09 | 4.006195e+09 | 4.087604e+09 | 4.168716e+09 | 4.250769e+09 | 4.329689e+09 | 4.407097e+09 | 4.483625e+09 | 4.559644e+09 | 4.635236e+09 | 4.710560e+09 | 4.785830e+09 | 4.860402e+09 | 4.933816e+09 | 5.006673e+09 | 5.078705e+09 | 5.150231e+09 | 5.221946e+09 | 5.293854e+09 | 5.366143e+09 | 5.438568e+09 | 5.511067e+09 | 5.584334e+09 | 5.658778e+09 | 5.734083e+09 | 5.810353e+09 | 5.887500e+09 | 5.965581e+09 | 6.044111e+09 | 6.122845e+09 | 6.202020e+09 | 6.281294e+09 |
| 139 | 139 | Lesotho | LSO | Population, total | SP.POP.TOTL | 8.515910e+05 | 8.664620e+05 | 8.821700e+05 | 8.986470e+05 | 9.158220e+05 | 9.336550e+05 | 9.522060e+05 | 9.715120e+05 | 9.914910e+05 | 1.012015e+06 | 1.033050e+06 | 1.054453e+06 | 1.076340e+06 | 1.099235e+06 | 1.123855e+06 | 1.150635e+06 | 1.179723e+06 | 1.210799e+06 | 1.243352e+06 | 1.276663e+06 | 1.310118e+06 | 1.343690e+06 | 1.377346e+06 | 1.410439e+06 | 1.442212e+06 | 1.472192e+06 | 1.499861e+06 | 1.525460e+06 | 1.550262e+06 | 1.576022e+06 | 1.603938e+06 | 1.634517e+06 | 1.667121e+06 | 1.700362e+06 | 1.732257e+06 | 1.761359e+06 | 1.787273e+06 | 1.810453e+06 | 1.831298e+06 | 1.850527e+06 | 1.868699e+06 | 1.885955e+06 | 1.902312e+06 | 1.918097e+06 | 1.933728e+06 | 1.949543e+06 | 1.965662e+06 | 1.982287e+06 | 1.999930e+06 | 2.019209e+06 | 2.040551e+06 | 2.064166e+06 | 2.089928e+06 | 2.117361e+06 | 2.145785e+06 | 2.174645e+06 | 2.203821e+06 | 2.233339e+06 |
| 140 | 140 | Late-demographic dividend | LTE | Population, total | SP.POP.TOTL | 1.097221e+09 | 1.099620e+09 | 1.114283e+09 | 1.140272e+09 | 1.165840e+09 | 1.192150e+09 | 1.221225e+09 | 1.249470e+09 | 1.278513e+09 | 1.309030e+09 | 1.340215e+09 | 1.371934e+09 | 1.401979e+09 | 1.431051e+09 | 1.458706e+09 | 1.484122e+09 | 1.508005e+09 | 1.530339e+09 | 1.552624e+09 | 1.575117e+09 | 1.597225e+09 | 1.619888e+09 | 1.644667e+09 | 1.669422e+09 | 1.693279e+09 | 1.717862e+09 | 1.743894e+09 | 1.771336e+09 | 1.798912e+09 | 1.825741e+09 | 1.851249e+09 | 1.875124e+09 | 1.895051e+09 | 1.915919e+09 | 1.936316e+09 | 1.957771e+09 | 1.977095e+09 | 1.996172e+09 | 2.014526e+09 | 2.031620e+09 | 2.047187e+09 | 2.061987e+09 | 2.075912e+09 | 2.089475e+09 | 2.102909e+09 | 2.116452e+09 | 2.129840e+09 | 2.142908e+09 | 2.156164e+09 | 2.169774e+09 | 2.182872e+09 | 2.196130e+09 | 2.209709e+09 | 2.223457e+09 | 2.237242e+09 | 2.250813e+09 | 2.264569e+09 | 2.278227e+09 |
| 141 | 141 | Lithuania | LTU | Population, total | SP.POP.TOTL | 2.778550e+06 | 2.823550e+06 | 2.863350e+06 | 2.898950e+06 | 2.935200e+06 | 2.971450e+06 | 3.008050e+06 | 3.044400e+06 | 3.078850e+06 | 3.107321e+06 | 3.139689e+06 | 3.179041e+06 | 3.213622e+06 | 3.244438e+06 | 3.273894e+06 | 3.301652e+06 | 3.328664e+06 | 3.355036e+06 | 3.379514e+06 | 3.397842e+06 | 3.413202e+06 | 3.432947e+06 | 3.457179e+06 | 3.485192e+06 | 3.514205e+06 | 3.544543e+06 | 3.578914e+06 | 3.616367e+06 | 3.655049e+06 | 3.684255e+06 | 3.697838e+06 | 3.704134e+06 | 3.700114e+06 | 3.682613e+06 | 3.657144e+06 | 3.629102e+06 | 3.601613e+06 | 3.575137e+06 | 3.549331e+06 | 3.524238e+06 | 3.499536e+06 | 3.470818e+06 | 3.443067e+06 | 3.415213e+06 | 3.377075e+06 | 3.322528e+06 | 3.269909e+06 | 3.231294e+06 | 3.198231e+06 | 3.162916e+06 | 3.097282e+06 | 3.028115e+06 | 2.987773e+06 | 2.957689e+06 | 2.932367e+06 | 2.904910e+06 | 2.868231e+06 | 2.827721e+06 |
| 142 | 142 | Luxembourg | LUX | Population, total | SP.POP.TOTL | 3.139700e+05 | 3.168450e+05 | 3.207500e+05 | 3.241000e+05 | 3.277500e+05 | 3.315000e+05 | 3.338950e+05 | 3.349950e+05 | 3.358500e+05 | 3.375000e+05 | 3.391710e+05 | 3.424210e+05 | 3.466000e+05 | 3.504500e+05 | 3.550500e+05 | 3.589500e+05 | 3.607310e+05 | 3.613580e+05 | 3.620070e+05 | 3.628560e+05 | 3.641500e+05 | 3.652250e+05 | 3.655250e+05 | 3.656220e+05 | 3.659980e+05 | 3.667060e+05 | 3.683550e+05 | 3.707500e+05 | 3.734500e+05 | 3.771000e+05 | 3.818500e+05 | 3.870000e+05 | 3.921750e+05 | 3.974750e+05 | 4.029250e+05 | 4.086250e+05 | 4.142250e+05 | 4.194500e+05 | 4.247000e+05 | 4.304750e+05 | 4.363000e+05 | 4.415250e+05 | 4.461750e+05 | 4.516300e+05 | 4.580950e+05 | 4.651580e+05 | 4.726370e+05 | 4.799930e+05 | 4.886500e+05 | 4.977830e+05 | 5.069530e+05 | 5.183470e+05 | 5.309460e+05 | 5.433600e+05 | 5.563190e+05 | 5.696040e+05 | 5.820140e+05 | 5.994490e+05 |
| 143 | 143 | Latvia | LVA | Population, total | SP.POP.TOTL | 2.120979e+06 | 2.152681e+06 | 2.181586e+06 | 2.210919e+06 | 2.240623e+06 | 2.265919e+06 | 2.283217e+06 | 2.301220e+06 | 2.323619e+06 | 2.343173e+06 | 2.359164e+06 | 2.376389e+06 | 2.395674e+06 | 2.415819e+06 | 2.437186e+06 | 2.456130e+06 | 2.470989e+06 | 2.485073e+06 | 2.497921e+06 | 2.505953e+06 | 2.511701e+06 | 2.519421e+06 | 2.531080e+06 | 2.546011e+06 | 2.562047e+06 | 2.578873e+06 | 2.599892e+06 | 2.626583e+06 | 2.653434e+06 | 2.666955e+06 | 2.663151e+06 | 2.650581e+06 | 2.614338e+06 | 2.563290e+06 | 2.520742e+06 | 2.485056e+06 | 2.457222e+06 | 2.432851e+06 | 2.410019e+06 | 2.390482e+06 | 2.367550e+06 | 2.337170e+06 | 2.310173e+06 | 2.287955e+06 | 2.263122e+06 | 2.238799e+06 | 2.218357e+06 | 2.200325e+06 | 2.177322e+06 | 2.141669e+06 | 2.097555e+06 | 2.059709e+06 | 2.034319e+06 | 2.012647e+06 | 1.993782e+06 | 1.977527e+06 | 1.959537e+06 | 1.940740e+06 |
| 144 | 144 | Macao SAR, China | MAC | Population, total | SP.POP.TOTL | 1.677960e+05 | 1.704650e+05 | 1.761880e+05 | 1.842500e+05 | 1.935630e+05 | 2.032310e+05 | 2.131960e+05 | 2.234200e+05 | 2.330040e+05 | 2.408420e+05 | 2.461950e+05 | 2.487390e+05 | 2.487670e+05 | 2.469470e+05 | 2.442840e+05 | 2.416280e+05 | 2.390850e+05 | 2.366950e+05 | 2.351980e+05 | 2.354790e+05 | 2.381180e+05 | 2.434270e+05 | 2.512190e+05 | 2.609970e+05 | 2.719930e+05 | 2.835810e+05 | 2.956770e+05 | 3.082750e+05 | 3.208770e+05 | 3.329010e+05 | 3.439350e+05 | 3.537640e+05 | 3.624590e+05 | 3.703450e+05 | 3.779600e+05 | 3.856860e+05 | 3.935670e+05 | 4.015640e+05 | 4.098370e+05 | 4.186040e+05 | 4.279790e+05 | 4.380810e+05 | 4.488960e+05 | 4.601470e+05 | 4.714530e+05 | 4.825590e+05 | 4.933200e+05 | 5.038230e+05 | 5.143480e+05 | 5.253130e+05 | 5.369690e+05 | 5.494390e+05 | 5.625310e+05 | 5.758410e+05 | 5.887810e+05 | 6.009420e+05 | 6.121670e+05 | 6.225670e+05 |
| 145 | 145 | St. Martin (French part) | MAF | Population, total | SP.POP.TOTL | 4.279000e+03 | 4.453000e+03 | 4.566000e+03 | 4.656000e+03 | 4.748000e+03 | 4.841000e+03 | 4.936000e+03 | 5.033000e+03 | 5.161000e+03 | 5.303000e+03 | 5.450000e+03 | 5.601000e+03 | 5.756000e+03 | 5.915000e+03 | 6.078000e+03 | 6.291000e+03 | 6.530000e+03 | 6.778000e+03 | 7.035000e+03 | 7.303000e+03 | 7.580000e+03 | 7.868000e+03 | 8.670000e+03 | 1.054700e+04 | 1.279000e+04 | 1.539200e+04 | 1.833700e+04 | 2.162800e+04 | 2.487300e+04 | 2.767600e+04 | 3.003600e+04 | 3.182100e+04 | 3.289200e+04 | 3.323800e+04 | 3.309800e+04 | 3.271200e+04 | 3.210200e+04 | 3.130400e+04 | 3.035800e+04 | 2.930500e+04 | 2.838400e+04 | 2.778200e+04 | 2.745000e+04 | 2.736300e+04 | 2.751400e+04 | 2.790600e+04 | 2.841400e+04 | 2.890500e+04 | 2.937600e+04 | 2.982000e+04 | 3.023500e+04 | 3.061500e+04 | 3.095900e+04 | 3.126400e+04 | 3.153000e+04 | 3.175400e+04 | 3.194900e+04 | 3.212500e+04 |
| 146 | 146 | Morocco | MAR | Population, total | SP.POP.TOTL | 1.232853e+07 | 1.271055e+07 | 1.309482e+07 | 1.347823e+07 | 1.385714e+07 | 1.422904e+07 | 1.459328e+07 | 1.495080e+07 | 1.530295e+07 | 1.565192e+07 | 1.600001e+07 | 1.634720e+07 | 1.669500e+07 | 1.704916e+07 | 1.741696e+07 | 1.780370e+07 | 1.821075e+07 | 1.863698e+07 | 1.908172e+07 | 1.954335e+07 | 2.001985e+07 | 2.051160e+07 | 2.101682e+07 | 2.152850e+07 | 2.203761e+07 | 2.253738e+07 | 2.302394e+07 | 2.349777e+07 | 2.396182e+07 | 2.442119e+07 | 2.487914e+07 | 2.533686e+07 | 2.579149e+07 | 2.623742e+07 | 2.666705e+07 | 2.707523e+07 | 2.746060e+07 | 2.782590e+07 | 2.817526e+07 | 2.851480e+07 | 2.884962e+07 | 2.918183e+07 | 2.951237e+07 | 2.984394e+07 | 3.017928e+07 | 3.052107e+07 | 3.086935e+07 | 3.122588e+07 | 3.159686e+07 | 3.198990e+07 | 3.240964e+07 | 3.285882e+07 | 3.333379e+07 | 3.382477e+07 | 3.431808e+07 | 3.480332e+07 | 3.527679e+07 | 3.573958e+07 |
| 147 | 147 | Monaco | MCO | Population, total | SP.POP.TOTL | 2.245200e+04 | 2.280800e+04 | 2.303900e+04 | 2.316800e+04 | 2.323600e+04 | 2.328200e+04 | 2.330500e+04 | 2.329200e+04 | 2.330400e+04 | 2.334600e+04 | 2.348400e+04 | 2.372000e+04 | 2.405100e+04 | 2.443900e+04 | 2.483500e+04 | 2.519700e+04 | 2.552300e+04 | 2.580900e+04 | 2.608700e+04 | 2.639500e+04 | 2.674500e+04 | 2.716400e+04 | 2.762400e+04 | 2.809500e+04 | 2.851200e+04 | 2.883500e+04 | 2.904100e+04 | 2.917200e+04 | 2.923500e+04 | 2.931200e+04 | 2.943900e+04 | 2.962400e+04 | 2.986300e+04 | 3.013800e+04 | 3.042700e+04 | 3.069100e+04 | 3.096700e+04 | 3.125100e+04 | 3.152300e+04 | 3.180000e+04 | 3.208200e+04 | 3.236000e+04 | 3.262900e+04 | 3.293300e+04 | 3.331400e+04 | 3.379300e+04 | 3.440800e+04 | 3.511100e+04 | 3.585300e+04 | 3.653400e+04 | 3.709400e+04 | 3.749700e+04 | 3.778300e+04 | 3.797100e+04 | 3.813200e+04 | 3.830700e+04 | 3.849900e+04 | 3.869500e+04 |
| 148 | 148 | Moldova | MDA | Population, total | SP.POP.TOTL | 2.544000e+06 | 2.605000e+06 | 2.664000e+06 | 2.721000e+06 | 2.774000e+06 | 2.825000e+06 | 2.873000e+06 | 2.918000e+06 | 2.960000e+06 | 3.002000e+06 | 3.044000e+06 | 3.088000e+06 | 3.131000e+06 | 3.174000e+06 | 3.215000e+06 | 3.251000e+06 | 3.284000e+06 | 3.312000e+06 | 3.339000e+06 | 3.366000e+06 | 3.396000e+06 | 3.429000e+06 | 3.464000e+06 | 3.500000e+06 | 3.536000e+06 | 3.570000e+06 | 3.602000e+06 | 3.633000e+06 | 3.660000e+06 | 3.681000e+06 | 3.696000e+06 | 3.704000e+06 | 3.706000e+06 | 3.701000e+06 | 3.691000e+06 | 3.675099e+06 | 3.667748e+06 | 3.654208e+06 | 3.652732e+06 | 3.647001e+06 | 3.639592e+06 | 3.631462e+06 | 3.623062e+06 | 3.612874e+06 | 3.603945e+06 | 3.595187e+06 | 3.585209e+06 | 3.576910e+06 | 3.570108e+06 | 3.565604e+06 | 3.562045e+06 | 3.559986e+06 | 3.559519e+06 | 3.558566e+06 | 3.556397e+06 | 3.554108e+06 | 3.551954e+06 | 3.549750e+06 |
| 149 | 149 | Madagascar | MDG | Population, total | SP.POP.TOTL | 5.099373e+06 | 5.223568e+06 | 5.352503e+06 | 5.486319e+06 | 5.625164e+06 | 5.769218e+06 | 5.918595e+06 | 6.073526e+06 | 6.234465e+06 | 6.401921e+06 | 6.576305e+06 | 6.757850e+06 | 6.946620e+06 | 7.142627e+06 | 7.345780e+06 | 7.556026e+06 | 7.773449e+06 | 7.998164e+06 | 8.230218e+06 | 8.469672e+06 | 8.716553e+06 | 8.971345e+06 | 9.234129e+06 | 9.504281e+06 | 9.780872e+06 | 1.006350e+07 | 1.035212e+07 | 1.064775e+07 | 1.095240e+07 | 1.126866e+07 | 1.159863e+07 | 1.194282e+07 | 1.230134e+07 | 1.267546e+07 | 1.306654e+07 | 1.347540e+07 | 1.390269e+07 | 1.434785e+07 | 1.480879e+07 | 1.528252e+07 | 1.576681e+07 | 1.626093e+07 | 1.676512e+07 | 1.727914e+07 | 1.780300e+07 | 1.833672e+07 | 1.888027e+07 | 1.943352e+07 | 1.999647e+07 | 2.056912e+07 | 2.115164e+07 | 2.174395e+07 | 2.234657e+07 | 2.296115e+07 | 2.358980e+07 | 2.423409e+07 | 2.489455e+07 | 2.557090e+07 |
| 150 | 150 | Maldives | MDV | Population, total | SP.POP.TOTL | 8.988700e+04 | 9.235000e+04 | 9.493800e+04 | 9.758400e+04 | 1.002140e+05 | 1.027660e+05 | 1.051900e+05 | 1.075380e+05 | 1.099590e+05 | 1.126510e+05 | 1.157680e+05 | 1.193780e+05 | 1.234410e+05 | 1.277910e+05 | 1.321950e+05 | 1.365190e+05 | 1.406650e+05 | 1.447360e+05 | 1.488920e+05 | 1.533860e+05 | 1.583850e+05 | 1.639350e+05 | 1.699600e+05 | 1.763560e+05 | 1.829530e+05 | 1.896370e+05 | 1.963570e+05 | 2.031240e+05 | 2.098850e+05 | 2.165950e+05 | 2.232150e+05 | 2.297540e+05 | 2.361900e+05 | 2.424590e+05 | 2.484330e+05 | 2.540820e+05 | 2.593270e+05 | 2.642750e+05 | 2.692060e+05 | 2.744840e+05 | 2.803840e+05 | 2.870270e+05 | 2.943410e+05 | 3.022090e+05 | 3.104230e+05 | 3.188360e+05 | 3.273710e+05 | 3.360700e+05 | 3.450540e+05 | 3.545010e+05 | 3.645110e+05 | 3.751310e+05 | 3.862030e+05 | 3.973970e+05 | 4.082470e+05 | 4.184030e+05 | 4.277560e+05 | 4.363300e+05 |
| 151 | 151 | Middle East & North Africa | MEA | Population, total | SP.POP.TOTL | 1.054887e+08 | 1.083742e+08 | 1.113859e+08 | 1.144714e+08 | 1.176716e+08 | 1.209736e+08 | 1.243745e+08 | 1.279473e+08 | 1.315662e+08 | 1.352799e+08 | 1.390838e+08 | 1.429510e+08 | 1.468873e+08 | 1.509999e+08 | 1.552599e+08 | 1.597226e+08 | 1.644075e+08 | 1.693184e+08 | 1.744933e+08 | 1.800005e+08 | 1.858438e+08 | 1.920159e+08 | 1.984996e+08 | 2.052299e+08 | 2.121028e+08 | 2.190953e+08 | 2.261615e+08 | 2.332852e+08 | 2.403671e+08 | 2.472836e+08 | 2.559891e+08 | 2.626597e+08 | 2.670206e+08 | 2.732048e+08 | 2.792793e+08 | 2.869174e+08 | 2.929340e+08 | 2.989829e+08 | 3.050015e+08 | 3.110532e+08 | 3.171292e+08 | 3.231964e+08 | 3.292894e+08 | 3.355228e+08 | 3.420468e+08 | 3.489563e+08 | 3.562877e+08 | 3.639963e+08 | 3.719997e+08 | 3.801926e+08 | 3.883761e+08 | 3.965732e+08 | 4.047830e+08 | 4.129530e+08 | 4.210300e+08 | 4.289749e+08 | 4.367380e+08 | 4.443224e+08 |
| 152 | 152 | Mexico | MEX | Population, total | SP.POP.TOTL | 3.817411e+07 | 3.939413e+07 | 4.064959e+07 | 4.193988e+07 | 4.326427e+07 | 4.462304e+07 | 4.601104e+07 | 4.742981e+07 | 4.889402e+07 | 5.042348e+07 | 5.202986e+07 | 5.371872e+07 | 5.547815e+07 | 5.728059e+07 | 5.908819e+07 | 6.087240e+07 | 6.262376e+07 | 6.434588e+07 | 6.603949e+07 | 6.770969e+07 | 6.936087e+07 | 7.099220e+07 | 7.260253e+07 | 7.419655e+07 | 7.578060e+07 | 7.736071e+07 | 7.893412e+07 | 8.050305e+07 | 8.208392e+07 | 8.369789e+07 | 8.535787e+07 | 8.707151e+07 | 8.882831e+07 | 9.060045e+07 | 9.234915e+07 | 9.404558e+07 | 9.568745e+07 | 9.728174e+07 | 9.882146e+07 | 1.003006e+08 | 1.017197e+08 | 1.030671e+08 | 1.043556e+08 | 1.056405e+08 | 1.069956e+08 | 1.084722e+08 | 1.100924e+08 | 1.118363e+08 | 1.136618e+08 | 1.155052e+08 | 1.173189e+08 | 1.190900e+08 | 1.208283e+08 | 1.225360e+08 | 1.242216e+08 | 1.258909e+08 | 1.275404e+08 | 1.291633e+08 |
| 153 | 153 | Marshall Islands | MHL | Population, total | SP.POP.TOTL | 1.466200e+04 | 1.505100e+04 | 1.554700e+04 | 1.611400e+04 | 1.671000e+04 | 1.728400e+04 | 1.784200e+04 | 1.838800e+04 | 1.896100e+04 | 1.962200e+04 | 2.039500e+04 | 2.131300e+04 | 2.234100e+04 | 2.343900e+04 | 2.453100e+04 | 2.557600e+04 | 2.655200e+04 | 2.747000e+04 | 2.840500e+04 | 2.941800e+04 | 3.057600e+04 | 3.189300e+04 | 3.333000e+04 | 3.489200e+04 | 3.656100e+04 | 3.833300e+04 | 4.020400e+04 | 4.215300e+04 | 4.406300e+04 | 4.581400e+04 | 4.729800e+04 | 4.847500e+04 | 4.937800e+04 | 5.004800e+04 | 5.057500e+04 | 5.101500e+04 | 5.140100e+04 | 5.169200e+04 | 5.192500e+04 | 5.207900e+04 | 5.215900e+04 | 5.218300e+04 | 5.215800e+04 | 5.211600e+04 | 5.207400e+04 | 5.205500e+04 | 5.207800e+04 | 5.213700e+04 | 5.221800e+04 | 5.232000e+04 | 5.242500e+04 | 5.254200e+04 | 5.266300e+04 | 5.279300e+04 | 5.289800e+04 | 5.299400e+04 | 5.306600e+04 | 5.312700e+04 |
| 154 | 154 | Middle income | MIC | Population, total | SP.POP.TOTL | 2.085156e+09 | 2.110911e+09 | 2.149854e+09 | 2.200881e+09 | 2.252228e+09 | 2.305151e+09 | 2.361621e+09 | 2.417921e+09 | 2.475759e+09 | 2.535880e+09 | 2.597582e+09 | 2.660574e+09 | 2.722510e+09 | 2.784271e+09 | 2.845473e+09 | 2.905308e+09 | 2.964489e+09 | 3.023043e+09 | 3.082575e+09 | 3.143467e+09 | 3.205184e+09 | 3.268748e+09 | 3.335472e+09 | 3.403116e+09 | 3.470527e+09 | 3.539073e+09 | 3.609457e+09 | 3.681618e+09 | 3.754165e+09 | 3.825986e+09 | 3.898296e+09 | 3.966984e+09 | 4.033694e+09 | 4.099177e+09 | 4.163965e+09 | 4.228252e+09 | 4.292242e+09 | 4.356100e+09 | 4.419077e+09 | 4.480561e+09 | 4.541041e+09 | 4.600227e+09 | 4.658466e+09 | 4.716457e+09 | 4.774223e+09 | 4.831970e+09 | 4.889433e+09 | 4.946553e+09 | 5.004105e+09 | 5.062606e+09 | 5.121808e+09 | 5.181848e+09 | 5.242598e+09 | 5.304030e+09 | 5.365539e+09 | 5.426787e+09 | 5.487997e+09 | 5.548845e+09 |
| 155 | 155 | Macedonia, FYR | MKD | Population, total | SP.POP.TOTL | 1.488667e+06 | 1.507654e+06 | 1.527111e+06 | 1.547450e+06 | 1.569141e+06 | 1.592432e+06 | 1.617794e+06 | 1.644943e+06 | 1.672399e+06 | 1.698143e+06 | 1.720800e+06 | 1.739521e+06 | 1.754956e+06 | 1.768992e+06 | 1.784398e+06 | 1.803010e+06 | 1.825552e+06 | 1.851069e+06 | 1.877688e+06 | 1.902719e+06 | 1.924197e+06 | 1.941530e+06 | 1.955243e+06 | 1.965895e+06 | 1.974415e+06 | 1.981534e+06 | 1.987538e+06 | 1.992274e+06 | 1.995513e+06 | 1.996870e+06 | 1.996228e+06 | 1.993302e+06 | 1.988659e+06 | 1.984028e+06 | 1.981703e+06 | 1.983252e+06 | 1.989443e+06 | 1.999599e+06 | 2.012057e+06 | 2.024394e+06 | 2.034819e+06 | 2.042842e+06 | 2.048928e+06 | 2.053426e+06 | 2.057047e+06 | 2.060272e+06 | 2.063145e+06 | 2.065458e+06 | 2.067378e+06 | 2.069093e+06 | 2.070739e+06 | 2.072383e+06 | 2.074036e+06 | 2.075739e+06 | 2.077495e+06 | 2.079308e+06 | 2.081206e+06 | 2.083160e+06 |
| 156 | 156 | Mali | MLI | Population, total | SP.POP.TOTL | 5.263733e+06 | 5.322266e+06 | 5.381368e+06 | 5.441613e+06 | 5.503752e+06 | 5.568484e+06 | 5.635859e+06 | 5.706199e+06 | 5.780835e+06 | 5.861412e+06 | 5.949045e+06 | 6.044530e+06 | 6.147458e+06 | 6.256187e+06 | 6.368348e+06 | 6.482278e+06 | 6.596773e+06 | 6.712401e+06 | 6.831295e+06 | 6.956579e+06 | 7.090126e+06 | 7.234303e+06 | 7.387656e+06 | 7.543743e+06 | 7.693667e+06 | 7.831889e+06 | 7.955164e+06 | 8.067758e+06 | 8.180728e+06 | 8.309531e+06 | 8.465188e+06 | 8.652514e+06 | 8.868263e+06 | 9.105472e+06 | 9.353385e+06 | 9.604450e+06 | 9.856810e+06 | 1.011409e+07 | 1.038084e+07 | 1.066372e+07 | 1.096769e+07 | 1.129326e+07 | 1.163893e+07 | 1.200513e+07 | 1.239191e+07 | 1.279876e+07 | 1.322706e+07 | 1.367561e+07 | 1.413822e+07 | 1.460660e+07 | 1.507508e+07 | 1.554099e+07 | 1.600667e+07 | 1.647782e+07 | 1.696285e+07 | 1.746790e+07 | 1.799484e+07 | 1.854198e+07 |
| 157 | 157 | Malta | MLT | Population, total | SP.POP.TOTL | 3.265500e+05 | 3.252500e+05 | 3.239000e+05 | 3.225500e+05 | 3.212500e+05 | 3.188000e+05 | 3.152000e+05 | 3.115500e+05 | 3.079000e+05 | 3.043000e+05 | 3.026500e+05 | 3.027000e+05 | 3.024500e+05 | 3.022000e+05 | 3.019960e+05 | 3.042220e+05 | 3.057740e+05 | 3.069700e+05 | 3.101820e+05 | 3.133420e+05 | 3.166450e+05 | 3.189820e+05 | 3.258980e+05 | 3.305240e+05 | 3.305930e+05 | 3.364520e+05 | 3.421210e+05 | 3.444850e+05 | 3.473250e+05 | 3.507220e+05 | 3.541700e+05 | 3.638450e+05 | 3.676180e+05 | 3.713080e+05 | 3.747970e+05 | 3.774190e+05 | 3.799050e+05 | 3.827910e+05 | 3.852870e+05 | 3.875780e+05 | 3.900870e+05 | 3.930280e+05 | 3.959690e+05 | 3.985820e+05 | 4.012680e+05 | 4.038340e+05 | 4.053080e+05 | 4.067240e+05 | 4.093790e+05 | 4.124770e+05 | 4.145080e+05 | 4.162680e+05 | 4.200280e+05 | 4.259670e+05 | 4.345580e+05 | 4.450530e+05 | 4.553560e+05 | 4.652920e+05 |
| 158 | 158 | Myanmar | MMR | Population, total | SP.POP.TOTL | 2.098612e+07 | 2.143802e+07 | 2.189802e+07 | 2.237190e+07 | 2.286774e+07 | 2.339114e+07 | 2.394418e+07 | 2.452455e+07 | 2.512812e+07 | 2.574864e+07 | 2.638143e+07 | 2.702498e+07 | 2.768014e+07 | 2.834734e+07 | 2.902773e+07 | 2.972197e+07 | 3.042803e+07 | 3.114432e+07 | 3.187223e+07 | 3.261389e+07 | 3.336971e+07 | 3.413913e+07 | 3.491790e+07 | 3.569794e+07 | 3.646889e+07 | 3.722230e+07 | 3.795733e+07 | 3.867324e+07 | 3.936214e+07 | 4.001486e+07 | 4.062625e+07 | 4.119016e+07 | 4.171146e+07 | 4.220978e+07 | 4.271222e+07 | 4.323779e+07 | 4.379331e+07 | 4.437152e+07 | 4.495994e+07 | 4.553944e+07 | 4.609546e+07 | 4.662799e+07 | 4.714022e+07 | 4.762489e+07 | 4.807371e+07 | 4.848261e+07 | 4.884647e+07 | 4.917159e+07 | 4.947975e+07 | 4.980069e+07 | 5.015590e+07 | 5.055303e+07 | 5.098651e+07 | 5.144820e+07 | 5.192418e+07 | 5.240367e+07 | 5.288522e+07 | 5.337061e+07 |
| 159 | 159 | Middle East & North Africa (excluding high inc... | MNA | Population, total | SP.POP.TOTL | 9.783777e+07 | 1.004585e+08 | 1.031472e+08 | 1.059144e+08 | 1.087749e+08 | 1.117382e+08 | 1.148161e+08 | 1.180041e+08 | 1.212763e+08 | 1.245964e+08 | 1.279425e+08 | 1.313096e+08 | 1.347195e+08 | 1.382111e+08 | 1.418378e+08 | 1.456425e+08 | 1.496290e+08 | 1.537983e+08 | 1.581851e+08 | 1.628299e+08 | 1.677559e+08 | 1.729675e+08 | 1.784403e+08 | 1.841298e+08 | 1.899742e+08 | 1.959177e+08 | 2.019504e+08 | 2.080513e+08 | 2.141407e+08 | 2.201218e+08 | 2.279038e+08 | 2.335823e+08 | 2.390627e+08 | 2.443955e+08 | 2.496606e+08 | 2.549182e+08 | 2.601901e+08 | 2.654639e+08 | 2.706723e+08 | 2.758401e+08 | 2.809553e+08 | 2.860161e+08 | 2.910510e+08 | 2.961145e+08 | 3.012783e+08 | 3.065952e+08 | 3.120793e+08 | 3.177212e+08 | 3.235311e+08 | 3.294889e+08 | 3.355816e+08 | 3.418220e+08 | 3.481957e+08 | 3.546410e+08 | 3.610780e+08 | 3.674493e+08 | 3.737191e+08 | 3.799018e+08 |
| 160 | 160 | Montenegro | MNE | Population, total | SP.POP.TOTL | 4.805790e+05 | 4.911400e+05 | 5.025580e+05 | 5.134090e+05 | 5.217530e+05 | 5.263270e+05 | 5.264190e+05 | 5.227960e+05 | 5.174810e+05 | 5.133400e+05 | 5.124070e+05 | 5.154490e+05 | 5.217850e+05 | 5.302200e+05 | 5.389020e+05 | 5.464870e+05 | 5.525620e+05 | 5.575760e+05 | 5.620650e+05 | 5.668880e+05 | 5.726080e+05 | 5.794450e+05 | 5.870010e+05 | 5.945060e+05 | 6.008840e+05 | 6.053980e+05 | 6.077110e+05 | 6.081440e+05 | 6.074130e+05 | 6.065710e+05 | 6.063720e+05 | 6.071050e+05 | 6.085160e+05 | 6.101700e+05 | 6.113890e+05 | 6.117120e+05 | 6.110030e+05 | 6.095200e+05 | 6.076620e+05 | 6.060010e+05 | 6.049500e+05 | 6.073890e+05 | 6.098280e+05 | 6.122670e+05 | 6.133530e+05 | 6.142610e+05 | 6.150250e+05 | 6.158750e+05 | 6.169690e+05 | 6.182940e+05 | 6.194280e+05 | 6.200790e+05 | 6.206010e+05 | 6.212070e+05 | 6.218100e+05 | 6.221590e+05 | 6.223030e+05 | 6.224710e+05 |
| 161 | 161 | Mongolia | MNG | Population, total | SP.POP.TOTL | 9.555050e+05 | 9.821780e+05 | 1.011324e+06 | 1.042383e+06 | 1.074514e+06 | 1.107124e+06 | 1.139961e+06 | 1.173191e+06 | 1.207104e+06 | 1.242214e+06 | 1.278825e+06 | 1.317050e+06 | 1.356670e+06 | 1.397304e+06 | 1.438425e+06 | 1.479651e+06 | 1.520865e+06 | 1.562209e+06 | 1.603906e+06 | 1.646291e+06 | 1.689622e+06 | 1.733475e+06 | 1.777727e+06 | 1.823216e+06 | 1.871090e+06 | 1.921881e+06 | 1.976309e+06 | 2.033343e+06 | 2.089714e+06 | 2.141008e+06 | 2.184145e+06 | 2.217918e+06 | 2.243502e+06 | 2.263200e+06 | 2.280496e+06 | 2.298039e+06 | 2.316567e+06 | 2.335695e+06 | 2.355590e+06 | 2.376162e+06 | 2.397436e+06 | 2.419776e+06 | 2.443659e+06 | 2.469286e+06 | 2.496832e+06 | 2.526446e+06 | 2.558012e+06 | 2.591670e+06 | 2.628131e+06 | 2.668289e+06 | 2.712650e+06 | 2.761516e+06 | 2.814226e+06 | 2.869107e+06 | 2.923896e+06 | 2.976877e+06 | 3.027398e+06 | 3.075647e+06 |
| 162 | 162 | Northern Mariana Islands | MNP | Population, total | SP.POP.TOTL | 1.003500e+04 | 1.030200e+04 | 1.049900e+04 | 1.066700e+04 | 1.085700e+04 | 1.110500e+04 | 1.143500e+04 | 1.182300e+04 | 1.225700e+04 | 1.269100e+04 | 1.312700e+04 | 1.356900e+04 | 1.404000e+04 | 1.449200e+04 | 1.485900e+04 | 1.511700e+04 | 1.523400e+04 | 1.525100e+04 | 1.537200e+04 | 1.586200e+04 | 1.692000e+04 | 1.860400e+04 | 2.085600e+04 | 2.350300e+04 | 2.630200e+04 | 2.909200e+04 | 3.180200e+04 | 3.448000e+04 | 3.713400e+04 | 3.980800e+04 | 4.253800e+04 | 4.524900e+04 | 4.791900e+04 | 5.060200e+04 | 5.338000e+04 | 5.627800e+04 | 5.936400e+04 | 6.252800e+04 | 6.547400e+04 | 6.775500e+04 | 6.909400e+04 | 6.938800e+04 | 6.876300e+04 | 6.742200e+04 | 6.566300e+04 | 6.374400e+04 | 6.168800e+04 | 5.951300e+04 | 5.743100e+04 | 5.567400e+04 | 5.442400e+04 | 5.378600e+04 | 5.371800e+04 | 5.403600e+04 | 5.446800e+04 | 5.481600e+04 | 5.502300e+04 | 5.514400e+04 |
| 163 | 163 | Mozambique | MOZ | Population, total | SP.POP.TOTL | 7.388695e+06 | 7.541325e+06 | 7.699139e+06 | 7.862072e+06 | 8.030025e+06 | 8.203076e+06 | 8.381455e+06 | 8.565674e+06 | 8.756481e+06 | 8.954809e+06 | 9.161534e+06 | 9.375144e+06 | 9.595762e+06 | 9.827580e+06 | 1.007617e+07 | 1.034449e+07 | 1.063293e+07 | 1.093694e+07 | 1.124805e+07 | 1.155498e+07 | 1.184833e+07 | 1.213307e+07 | 1.240924e+07 | 1.265771e+07 | 1.285378e+07 | 1.298440e+07 | 1.303438e+07 | 1.302086e+07 | 1.300255e+07 | 1.305961e+07 | 1.324765e+07 | 1.359197e+07 | 1.407123e+07 | 1.463700e+07 | 1.521704e+07 | 1.575913e+07 | 1.624823e+07 | 1.670135e+07 | 1.713678e+07 | 1.758487e+07 | 1.806769e+07 | 1.858876e+07 | 1.913966e+07 | 1.971660e+07 | 2.031270e+07 | 2.092307e+07 | 2.154746e+07 | 2.218839e+07 | 2.284676e+07 | 2.352406e+07 | 2.422140e+07 | 2.493900e+07 | 2.567661e+07 | 2.643437e+07 | 2.721238e+07 | 2.801069e+07 | 2.882948e+07 | 2.966883e+07 |
| 164 | 164 | Mauritania | MRT | Population, total | SP.POP.TOTL | 8.581680e+05 | 8.832210e+05 | 9.091740e+05 | 9.360160e+05 | 9.637470e+05 | 9.923670e+05 | 1.021882e+06 | 1.052286e+06 | 1.083583e+06 | 1.115788e+06 | 1.148908e+06 | 1.182954e+06 | 1.217941e+06 | 1.253874e+06 | 1.290790e+06 | 1.328686e+06 | 1.367563e+06 | 1.407436e+06 | 1.448414e+06 | 1.490603e+06 | 1.534085e+06 | 1.578938e+06 | 1.625124e+06 | 1.672496e+06 | 1.720812e+06 | 1.769942e+06 | 1.819954e+06 | 1.870978e+06 | 1.923002e+06 | 1.976030e+06 | 2.030140e+06 | 2.085202e+06 | 2.141445e+06 | 2.199791e+06 | 2.261403e+06 | 2.327075e+06 | 2.397245e+06 | 2.471598e+06 | 2.549223e+06 | 2.628803e+06 | 2.709359e+06 | 2.790729e+06 | 2.873228e+06 | 2.957117e+06 | 3.042823e+06 | 3.130720e+06 | 3.220653e+06 | 3.312665e+06 | 3.407541e+06 | 3.506288e+06 | 3.609543e+06 | 3.717672e+06 | 3.830239e+06 | 3.946170e+06 | 4.063920e+06 | 4.182341e+06 | 4.301018e+06 | 4.420184e+06 |
| 165 | 165 | Mauritius | MUS | Population, total | SP.POP.TOTL | 6.593510e+05 | 6.807570e+05 | 7.003490e+05 | 7.188610e+05 | 7.363810e+05 | 7.530000e+05 | 7.688130e+05 | 7.839170e+05 | 7.984130e+05 | 8.124050e+05 | 8.260000e+05 | 8.392300e+05 | 8.520530e+05 | 8.648190e+05 | 8.780420e+05 | 8.920000e+05 | 9.065070e+05 | 9.213790e+05 | 9.334990e+05 | 9.498880e+05 | 9.660390e+05 | 9.804620e+05 | 9.925210e+05 | 1.001691e+06 | 1.012221e+06 | 1.020528e+06 | 1.028360e+06 | 1.036082e+06 | 1.043239e+06 | 1.051260e+06 | 1.058775e+06 | 1.070266e+06 | 1.084441e+06 | 1.097374e+06 | 1.112846e+06 | 1.122457e+06 | 1.133996e+06 | 1.148284e+06 | 1.160421e+06 | 1.175267e+06 | 1.186873e+06 | 1.196287e+06 | 1.204621e+06 | 1.213370e+06 | 1.221003e+06 | 1.228254e+06 | 1.233996e+06 | 1.239630e+06 | 1.244121e+06 | 1.247429e+06 | 1.250400e+06 | 1.252404e+06 | 1.255882e+06 | 1.258653e+06 | 1.260934e+06 | 1.262605e+06 | 1.263473e+06 | 1.264613e+06 |
| 166 | 166 | Malawi | MWI | Population, total | SP.POP.TOTL | 3.618595e+06 | 3.700023e+06 | 3.784439e+06 | 3.872118e+06 | 3.963417e+06 | 4.058673e+06 | 4.158124e+06 | 4.262005e+06 | 4.370650e+06 | 4.484439e+06 | 4.603723e+06 | 4.728703e+06 | 4.859610e+06 | 4.996940e+06 | 5.141202e+06 | 5.292808e+06 | 5.454705e+06 | 5.627533e+06 | 5.806845e+06 | 5.986332e+06 | 6.163080e+06 | 6.327569e+06 | 6.484452e+06 | 6.661358e+06 | 6.895928e+06 | 7.211105e+06 | 7.625305e+06 | 8.120093e+06 | 8.636935e+06 | 9.094671e+06 | 9.437553e+06 | 9.641153e+06 | 9.729717e+06 | 9.755857e+06 | 9.796976e+06 | 9.909088e+06 | 1.010979e+07 | 1.038186e+07 | 1.070474e+07 | 1.104436e+07 | 1.137617e+07 | 1.169586e+07 | 1.201371e+07 | 1.233669e+07 | 1.267604e+07 | 1.303971e+07 | 1.342926e+07 | 1.384097e+07 | 1.427123e+07 | 1.471460e+07 | 1.516710e+07 | 1.562762e+07 | 1.609730e+07 | 1.657715e+07 | 1.706884e+07 | 1.757361e+07 | 1.809158e+07 | 1.862210e+07 |
| 167 | 167 | Malaysia | MYS | Population, total | SP.POP.TOTL | 8.157106e+06 | 8.418460e+06 | 8.692815e+06 | 8.974084e+06 | 9.253963e+06 | 9.526563e+06 | 9.789982e+06 | 1.004617e+07 | 1.029780e+07 | 1.054923e+07 | 1.080398e+07 | 1.106234e+07 | 1.132425e+07 | 1.159270e+07 | 1.187123e+07 | 1.216237e+07 | 1.246889e+07 | 1.279055e+07 | 1.312307e+07 | 1.346020e+07 | 1.379812e+07 | 1.413384e+07 | 1.447063e+07 | 1.481862e+07 | 1.519162e+07 | 1.559894e+07 | 1.604505e+07 | 1.652511e+07 | 1.702759e+07 | 1.753597e+07 | 1.803832e+07 | 1.852945e+07 | 1.901272e+07 | 1.949497e+07 | 1.998689e+07 | 2.049560e+07 | 2.102332e+07 | 2.156532e+07 | 2.211346e+07 | 2.265629e+07 | 2.318561e+07 | 2.369891e+07 | 2.419881e+07 | 2.468870e+07 | 2.517411e+07 | 2.565939e+07 | 2.614357e+07 | 2.662584e+07 | 2.711107e+07 | 2.760538e+07 | 2.811229e+07 | 2.863513e+07 | 2.917046e+07 | 2.970672e+07 | 3.022802e+07 | 3.072316e+07 | 3.118726e+07 | 3.162426e+07 |
| 168 | 168 | North America | NAC | Population, total | SP.POP.TOTL | 1.986244e+08 | 2.020075e+08 | 2.051986e+08 | 2.082537e+08 | 2.112629e+08 | 2.140311e+08 | 2.166590e+08 | 2.191760e+08 | 2.215030e+08 | 2.237590e+08 | 2.264310e+08 | 2.293611e+08 | 2.319438e+08 | 2.343322e+08 | 2.366815e+08 | 2.392350e+08 | 2.416062e+08 | 2.440884e+08 | 2.466746e+08 | 2.493858e+08 | 2.518727e+08 | 2.544210e+08 | 2.569214e+08 | 2.593039e+08 | 2.615834e+08 | 2.639229e+08 | 2.663944e+08 | 2.688968e+08 | 2.714523e+08 | 2.742568e+08 | 2.774733e+08 | 2.812117e+08 | 2.850922e+08 | 2.888113e+08 | 2.922972e+08 | 2.956917e+08 | 2.991260e+08 | 3.027047e+08 | 3.061628e+08 | 3.096005e+08 | 3.129939e+08 | 3.161134e+08 | 3.190501e+08 | 3.218473e+08 | 3.248640e+08 | 3.278928e+08 | 3.310149e+08 | 3.341840e+08 | 3.374050e+08 | 3.404657e+08 | 3.434088e+08 | 3.460516e+08 | 3.488086e+08 | 3.514519e+08 | 3.542230e+08 | 3.569376e+08 | 3.597359e+08 | 3.624927e+08 |
| 169 | 169 | Namibia | NAM | Population, total | SP.POP.TOTL | 6.025440e+05 | 6.172770e+05 | 6.326540e+05 | 6.486610e+05 | 6.652820e+05 | 6.825510e+05 | 7.003410e+05 | 7.186850e+05 | 7.378860e+05 | 7.583770e+05 | 7.803840e+05 | 8.041570e+05 | 8.294410e+05 | 8.553800e+05 | 8.807850e+05 | 9.048390e+05 | 9.275030e+05 | 9.491930e+05 | 9.702580e+05 | 9.912260e+05 | 1.012672e+06 | 1.034264e+06 | 1.056366e+06 | 1.081081e+06 | 1.111132e+06 | 1.148302e+06 | 1.193592e+06 | 1.245990e+06 | 1.302741e+06 | 1.359933e+06 | 1.414692e+06 | 1.465740e+06 | 1.513721e+06 | 1.559983e+06 | 1.606718e+06 | 1.655359e+06 | 1.706489e+06 | 1.758994e+06 | 1.810566e+06 | 1.858042e+06 | 1.899257e+06 | 1.933596e+06 | 1.962147e+06 | 1.986535e+06 | 2.009228e+06 | 2.032196e+06 | 2.055734e+06 | 2.079915e+06 | 2.106375e+06 | 2.137040e+06 | 2.173170e+06 | 2.215621e+06 | 2.263934e+06 | 2.316520e+06 | 2.370992e+06 | 2.425561e+06 | 2.479713e+06 | 2.533794e+06 |
| 170 | 170 | New Caledonia | NCL | Population, total | SP.POP.TOTL | 7.900000e+04 | 8.120000e+04 | 8.340000e+04 | 8.570000e+04 | 8.810000e+04 | 9.050000e+04 | 9.350000e+04 | 9.650000e+04 | 9.950000e+04 | 1.040000e+05 | 1.120000e+05 | 1.200000e+05 | 1.255000e+05 | 1.285000e+05 | 1.310000e+05 | 1.325000e+05 | 1.340000e+05 | 1.360000e+05 | 1.375000e+05 | 1.385000e+05 | 1.400500e+05 | 1.426500e+05 | 1.457000e+05 | 1.487000e+05 | 1.516500e+05 | 1.544500e+05 | 1.573500e+05 | 1.605000e+05 | 1.636500e+05 | 1.668980e+05 | 1.708990e+05 | 1.753620e+05 | 1.797990e+05 | 1.844960e+05 | 1.894820e+05 | 1.938160e+05 | 1.975640e+05 | 2.014180e+05 | 2.052790e+05 | 2.092140e+05 | 2.132300e+05 | 2.173240e+05 | 2.214900e+05 | 2.252960e+05 | 2.287500e+05 | 2.322500e+05 | 2.357500e+05 | 2.392500e+05 | 2.427500e+05 | 2.459500e+05 | 2.497500e+05 | 2.543500e+05 | 2.590000e+05 | 2.636500e+05 | 2.680500e+05 | 2.724000e+05 | 2.765500e+05 | 2.804600e+05 |
| 171 | 171 | Niger | NER | Population, total | SP.POP.TOTL | 3.388764e+06 | 3.486295e+06 | 3.588156e+06 | 3.693866e+06 | 3.802640e+06 | 3.913934e+06 | 4.027758e+06 | 4.144395e+06 | 4.263745e+06 | 4.385758e+06 | 4.510479e+06 | 4.637829e+06 | 4.768078e+06 | 4.902006e+06 | 5.040656e+06 | 5.184811e+06 | 5.334918e+06 | 5.490921e+06 | 5.652355e+06 | 5.818506e+06 | 5.988904e+06 | 6.164006e+06 | 6.344382e+06 | 6.529894e+06 | 6.720344e+06 | 6.915927e+06 | 7.116744e+06 | 7.323969e+06 | 7.540253e+06 | 7.768995e+06 | 8.012861e+06 | 8.272976e+06 | 8.549424e+06 | 8.842415e+06 | 9.151763e+06 | 9.477333e+06 | 9.819964e+06 | 1.018006e+07 | 1.055655e+07 | 1.094783e+07 | 1.135297e+07 | 1.177198e+07 | 1.220600e+07 | 1.265687e+07 | 1.312701e+07 | 1.361845e+07 | 1.413206e+07 | 1.466834e+07 | 1.522852e+07 | 1.581391e+07 | 1.642558e+07 | 1.706464e+07 | 1.773163e+07 | 1.842637e+07 | 1.914822e+07 | 1.989696e+07 | 2.067299e+07 | 2.147735e+07 |
| 172 | 172 | Nigeria | NGA | Population, total | SP.POP.TOTL | 4.513781e+07 | 4.606290e+07 | 4.702914e+07 | 4.803225e+07 | 4.906606e+07 | 5.012721e+07 | 5.121736e+07 | 5.234183e+07 | 5.350598e+07 | 5.471674e+07 | 5.598140e+07 | 5.729521e+07 | 5.866260e+07 | 6.011043e+07 | 6.167356e+07 | 6.337357e+07 | 6.522623e+07 | 6.721580e+07 | 6.929355e+07 | 7.139129e+07 | 7.346072e+07 | 7.548255e+07 | 7.747291e+07 | 7.946228e+07 | 8.149774e+07 | 8.361330e+07 | 8.581850e+07 | 8.810163e+07 | 9.045028e+07 | 9.284435e+07 | 9.526999e+07 | 9.772632e+07 | 1.002216e+08 | 1.027617e+08 | 1.053558e+08 | 1.080115e+08 | 1.107329e+08 | 1.135227e+08 | 1.163858e+08 | 1.193271e+08 | 1.223520e+08 | 1.254634e+08 | 1.286667e+08 | 1.319725e+08 | 1.353936e+08 | 1.389395e+08 | 1.426141e+08 | 1.464170e+08 | 1.503474e+08 | 1.544022e+08 | 1.585783e+08 | 1.628771e+08 | 1.672973e+08 | 1.718293e+08 | 1.764605e+08 | 1.811817e+08 | 1.859896e+08 | 1.908863e+08 |
| 173 | 173 | Nicaragua | NIC | Population, total | SP.POP.TOTL | 1.774699e+06 | 1.830400e+06 | 1.886562e+06 | 1.943590e+06 | 2.002119e+06 | 2.062630e+06 | 2.125240e+06 | 2.189882e+06 | 2.256782e+06 | 2.326139e+06 | 2.398096e+06 | 2.472656e+06 | 2.549774e+06 | 2.629505e+06 | 2.711848e+06 | 2.796746e+06 | 2.884155e+06 | 2.973806e+06 | 3.065117e+06 | 3.157355e+06 | 3.249910e+06 | 3.342669e+06 | 3.435525e+06 | 3.527939e+06 | 3.619253e+06 | 3.709091e+06 | 3.796917e+06 | 3.882943e+06 | 3.968454e+06 | 4.055265e+06 | 4.144565e+06 | 4.236801e+06 | 4.331277e+06 | 4.426580e+06 | 4.520725e+06 | 4.612228e+06 | 4.700779e+06 | 4.786640e+06 | 4.869626e+06 | 4.949660e+06 | 5.026796e+06 | 5.100750e+06 | 5.171734e+06 | 5.240879e+06 | 5.309703e+06 | 5.379328e+06 | 5.450211e+06 | 5.522106e+06 | 5.594506e+06 | 5.666581e+06 | 5.737723e+06 | 5.807820e+06 | 5.877108e+06 | 5.945747e+06 | 6.013997e+06 | 6.082035e+06 | 6.149928e+06 | 6.217581e+06 |
| 174 | 174 | Netherlands | NLD | Population, total | SP.POP.TOTL | 1.148663e+07 | 1.163871e+07 | 1.180569e+07 | 1.196597e+07 | 1.212712e+07 | 1.229473e+07 | 1.245625e+07 | 1.259820e+07 | 1.272972e+07 | 1.287798e+07 | 1.303853e+07 | 1.319450e+07 | 1.332859e+07 | 1.343932e+07 | 1.354506e+07 | 1.366634e+07 | 1.377404e+07 | 1.385618e+07 | 1.394170e+07 | 1.403827e+07 | 1.414980e+07 | 1.424721e+07 | 1.431269e+07 | 1.436707e+07 | 1.442421e+07 | 1.449163e+07 | 1.457228e+07 | 1.466504e+07 | 1.476009e+07 | 1.484891e+07 | 1.495151e+07 | 1.506980e+07 | 1.518417e+07 | 1.529037e+07 | 1.538284e+07 | 1.545901e+07 | 1.553050e+07 | 1.561065e+07 | 1.570721e+07 | 1.581209e+07 | 1.592551e+07 | 1.604618e+07 | 1.614893e+07 | 1.622530e+07 | 1.628178e+07 | 1.631987e+07 | 1.634610e+07 | 1.638170e+07 | 1.644559e+07 | 1.653039e+07 | 1.661539e+07 | 1.669307e+07 | 1.675496e+07 | 1.680443e+07 | 1.686501e+07 | 1.693992e+07 | 1.703031e+07 | 1.713285e+07 |
| 175 | 175 | Norway | NOR | Population, total | SP.POP.TOTL | 3.581239e+06 | 3.609800e+06 | 3.638918e+06 | 3.666537e+06 | 3.694339e+06 | 3.723168e+06 | 3.753012e+06 | 3.784539e+06 | 3.816486e+06 | 3.847707e+06 | 3.875763e+06 | 3.903039e+06 | 3.933004e+06 | 3.960612e+06 | 3.985258e+06 | 4.007313e+06 | 4.026152e+06 | 4.043205e+06 | 4.058671e+06 | 4.072517e+06 | 4.085620e+06 | 4.099702e+06 | 4.114787e+06 | 4.128432e+06 | 4.140099e+06 | 4.152516e+06 | 4.167354e+06 | 4.186905e+06 | 4.209488e+06 | 4.226901e+06 | 4.241473e+06 | 4.261732e+06 | 4.286401e+06 | 4.311991e+06 | 4.336613e+06 | 4.359184e+06 | 4.381336e+06 | 4.405157e+06 | 4.431464e+06 | 4.461913e+06 | 4.490967e+06 | 4.513751e+06 | 4.538159e+06 | 4.564855e+06 | 4.591910e+06 | 4.623291e+06 | 4.660677e+06 | 4.709153e+06 | 4.768212e+06 | 4.828726e+06 | 4.889252e+06 | 4.953088e+06 | 5.018573e+06 | 5.079623e+06 | 5.137232e+06 | 5.190239e+06 | 5.234519e+06 | 5.282223e+06 |
| 176 | 176 | Nepal | NPL | Population, total | SP.POP.TOTL | 1.006301e+07 | 1.022176e+07 | 1.038420e+07 | 1.055227e+07 | 1.072820e+07 | 1.091372e+07 | 1.110988e+07 | 1.131683e+07 | 1.153426e+07 | 1.176147e+07 | 1.199793e+07 | 1.224377e+07 | 1.249943e+07 | 1.276496e+07 | 1.304040e+07 | 1.332581e+07 | 1.362111e+07 | 1.392626e+07 | 1.424140e+07 | 1.456669e+07 | 1.490216e+07 | 1.524901e+07 | 1.560724e+07 | 1.597442e+07 | 1.634724e+07 | 1.672396e+07 | 1.710114e+07 | 1.748092e+07 | 1.787367e+07 | 1.829351e+07 | 1.874941e+07 | 1.924505e+07 | 1.977377e+07 | 2.032118e+07 | 2.086713e+07 | 2.139638e+07 | 2.190338e+07 | 2.238980e+07 | 2.285630e+07 | 2.330599e+07 | 2.374091e+07 | 2.416178e+07 | 2.456634e+07 | 2.495062e+07 | 2.530945e+07 | 2.564029e+07 | 2.594062e+07 | 2.621485e+07 | 2.647586e+07 | 2.674110e+07 | 2.702314e+07 | 2.732715e+07 | 2.764992e+07 | 2.798531e+07 | 2.832324e+07 | 2.865628e+07 | 2.898277e+07 | 2.930500e+07 |
| 177 | 177 | Nauru | NRU | Population, total | SP.POP.TOTL | 4.433000e+03 | 4.676000e+03 | 4.948000e+03 | 5.228000e+03 | 5.500000e+03 | 5.740000e+03 | 5.933000e+03 | 6.103000e+03 | 6.237000e+03 | 6.371000e+03 | 6.496000e+03 | 6.617000e+03 | 6.743000e+03 | 6.863000e+03 | 6.972000e+03 | 7.068000e+03 | 7.150000e+03 | 7.232000e+03 | 7.309000e+03 | 7.397000e+03 | 7.488000e+03 | 7.592000e+03 | 7.717000e+03 | 7.854000e+03 | 8.005000e+03 | 8.173000e+03 | 8.353000e+03 | 8.554000e+03 | 8.755000e+03 | 8.954000e+03 | 9.155000e+03 | 9.348000e+03 | 9.546000e+03 | 9.719000e+03 | 9.857000e+03 | 9.969000e+03 | 1.002900e+04 | 1.005700e+04 | 1.004600e+04 | 1.004000e+04 | 1.003700e+04 | 1.005200e+04 | 1.008000e+04 | 1.010600e+04 | 1.012600e+04 | 1.011400e+04 | 1.007100e+04 | 1.000200e+04 | 9.947000e+03 | 9.945000e+03 | 1.002500e+04 | 1.005700e+04 | 1.027900e+04 | 1.082100e+04 | 1.185300e+04 | 1.247500e+04 | 1.304900e+04 | 1.364900e+04 |
| 178 | 178 | New Zealand | NZL | Population, total | SP.POP.TOTL | 2.371800e+06 | 2.419700e+06 | 2.482000e+06 | 2.531800e+06 | 2.585400e+06 | 2.628400e+06 | 2.675900e+06 | 2.724100e+06 | 2.748100e+06 | 2.772800e+06 | 2.810700e+06 | 2.853000e+06 | 2.903900e+06 | 2.961300e+06 | 3.023700e+06 | 3.083100e+06 | 3.110500e+06 | 3.120200e+06 | 3.121200e+06 | 3.109000e+06 | 3.112900e+06 | 3.124900e+06 | 3.156100e+06 | 3.199300e+06 | 3.227100e+06 | 3.247100e+06 | 3.246300e+06 | 3.274400e+06 | 3.283400e+06 | 3.299200e+06 | 3.329800e+06 | 3.495100e+06 | 3.531700e+06 | 3.572200e+06 | 3.620000e+06 | 3.673400e+06 | 3.732000e+06 | 3.781300e+06 | 3.815000e+06 | 3.835100e+06 | 3.857700e+06 | 3.880500e+06 | 3.948500e+06 | 4.027200e+06 | 4.087500e+06 | 4.133900e+06 | 4.184600e+06 | 4.223800e+06 | 4.259800e+06 | 4.302600e+06 | 4.350700e+06 | 4.384000e+06 | 4.408100e+06 | 4.442100e+06 | 4.509700e+06 | 4.595700e+06 | 4.693200e+06 | 4.793900e+06 |
| 179 | 179 | OECD members | OED | Population, total | SP.POP.TOTL | 7.887091e+08 | 8.010244e+08 | 8.119728e+08 | 8.228921e+08 | 8.337811e+08 | 8.443317e+08 | 8.543640e+08 | 8.639991e+08 | 8.727317e+08 | 8.832612e+08 | 8.928399e+08 | 9.031177e+08 | 9.136213e+08 | 9.232536e+08 | 9.339259e+08 | 9.440644e+08 | 9.526817e+08 | 9.614701e+08 | 9.702464e+08 | 9.791483e+08 | 9.879283e+08 | 9.965939e+08 | 1.004837e+09 | 1.012714e+09 | 1.020245e+09 | 1.027840e+09 | 1.035732e+09 | 1.043574e+09 | 1.051553e+09 | 1.060038e+09 | 1.069095e+09 | 1.078768e+09 | 1.088597e+09 | 1.097985e+09 | 1.106886e+09 | 1.115600e+09 | 1.124083e+09 | 1.132508e+09 | 1.140597e+09 | 1.148686e+09 | 1.156569e+09 | 1.164785e+09 | 1.173046e+09 | 1.181329e+09 | 1.189685e+09 | 1.198065e+09 | 1.206821e+09 | 1.215883e+09 | 1.225427e+09 | 1.234203e+09 | 1.242382e+09 | 1.248754e+09 | 1.256621e+09 | 1.264776e+09 | 1.273233e+09 | 1.281593e+09 | 1.289987e+09 | 1.298038e+09 |
| 180 | 180 | Oman | OMN | Population, total | SP.POP.TOTL | 5.517400e+05 | 5.648900e+05 | 5.788240e+05 | 5.935010e+05 | 6.088870e+05 | 6.250090e+05 | 6.420030e+05 | 6.601190e+05 | 6.795970e+05 | 7.007250e+05 | 7.238520e+05 | 7.489730e+05 | 7.763830e+05 | 8.069910e+05 | 8.419480e+05 | 8.820440e+05 | 9.274390e+05 | 9.778080e+05 | 1.032800e+06 | 1.091853e+06 | 1.154379e+06 | 1.220587e+06 | 1.290111e+06 | 1.361097e+06 | 1.431077e+06 | 1.498417e+06 | 1.561185e+06 | 1.619864e+06 | 1.678116e+06 | 1.741160e+06 | 1.812160e+06 | 1.893771e+06 | 1.983277e+06 | 2.072111e+06 | 2.148428e+06 | 2.204283e+06 | 2.236666e+06 | 2.249773e+06 | 2.251875e+06 | 2.254918e+06 | 2.267991e+06 | 2.294787e+06 | 2.334285e+06 | 2.385255e+06 | 2.444751e+06 | 2.511269e+06 | 2.582991e+06 | 2.662762e+06 | 2.759014e+06 | 2.882942e+06 | 3.041460e+06 | 3.237268e+06 | 3.464644e+06 | 3.711481e+06 | 3.960925e+06 | 4.199810e+06 | 4.424762e+06 | 4.636262e+06 |
| 181 | 181 | Other small states | OSS | Population, total | SP.POP.TOTL | 9.196324e+06 | 9.366201e+06 | 9.539303e+06 | 9.715748e+06 | 9.898587e+06 | 1.008671e+07 | 1.027808e+07 | 1.047313e+07 | 1.067696e+07 | 1.088823e+07 | 1.110750e+07 | 1.133782e+07 | 1.157535e+07 | 1.181612e+07 | 1.205931e+07 | 1.230678e+07 | 1.255334e+07 | 1.280273e+07 | 1.305826e+07 | 1.333255e+07 | 1.362883e+07 | 1.394614e+07 | 1.428606e+07 | 1.463979e+07 | 1.500854e+07 | 1.539792e+07 | 1.580594e+07 | 1.623044e+07 | 1.665736e+07 | 1.707524e+07 | 1.747090e+07 | 1.785091e+07 | 1.819102e+07 | 1.850786e+07 | 1.882954e+07 | 1.914933e+07 | 1.947891e+07 | 1.982100e+07 | 2.017082e+07 | 2.054971e+07 | 2.093937e+07 | 2.132412e+07 | 2.172206e+07 | 2.214134e+07 | 2.260052e+07 | 2.311279e+07 | 2.368156e+07 | 2.430079e+07 | 2.495574e+07 | 2.561542e+07 | 2.626705e+07 | 2.690015e+07 | 2.752960e+07 | 2.815308e+07 | 2.877402e+07 | 2.939650e+07 | 3.001250e+07 | 3.062101e+07 |
| 182 | 182 | Pakistan | PAK | Population, total | SP.POP.TOTL | 4.490829e+07 | 4.598489e+07 | 4.711936e+07 | 4.830932e+07 | 4.955190e+07 | 5.084522e+07 | 5.219110e+07 | 5.359093e+07 | 5.504240e+07 | 5.654243e+07 | 5.809076e+07 | 5.968714e+07 | 6.133826e+07 | 6.305948e+07 | 6.487083e+07 | 6.678790e+07 | 6.881322e+07 | 7.094623e+07 | 7.319494e+07 | 7.556768e+07 | 7.806814e+07 | 8.069694e+07 | 8.344586e+07 | 8.629764e+07 | 8.922895e+07 | 9.221949e+07 | 9.526446e+07 | 9.835747e+07 | 1.014748e+08 | 1.045885e+08 | 1.076786e+08 | 1.107304e+08 | 1.137471e+08 | 1.167496e+08 | 1.197696e+08 | 1.228291e+08 | 1.259383e+08 | 1.290870e+08 | 1.322533e+08 | 1.354056e+08 | 1.385233e+08 | 1.416014e+08 | 1.446541e+08 | 1.477034e+08 | 1.507803e+08 | 1.539097e+08 | 1.570940e+08 | 1.603330e+08 | 1.636446e+08 | 1.670496e+08 | 1.705602e+08 | 1.741843e+08 | 1.779115e+08 | 1.817126e+08 | 1.855463e+08 | 1.893805e+08 | 1.932035e+08 | 1.970160e+08 |
| 183 | 183 | Panama | PAN | Population, total | SP.POP.TOTL | 1.132921e+06 | 1.167035e+06 | 1.202373e+06 | 1.238823e+06 | 1.276276e+06 | 1.314626e+06 | 1.353804e+06 | 1.393799e+06 | 1.434657e+06 | 1.476479e+06 | 1.519299e+06 | 1.563115e+06 | 1.607834e+06 | 1.653256e+06 | 1.699113e+06 | 1.745205e+06 | 1.791453e+06 | 1.837890e+06 | 1.884515e+06 | 1.931389e+06 | 1.978578e+06 | 2.026065e+06 | 2.073844e+06 | 2.121939e+06 | 2.170409e+06 | 2.219276e+06 | 2.268574e+06 | 2.318332e+06 | 2.368618e+06 | 2.419491e+06 | 2.471009e+06 | 2.523181e+06 | 2.576018e+06 | 2.629644e+06 | 2.684183e+06 | 2.739730e+06 | 2.796344e+06 | 2.853941e+06 | 2.912328e+06 | 2.971197e+06 | 3.030347e+06 | 3.089684e+06 | 3.149265e+06 | 3.209174e+06 | 3.269541e+06 | 3.330465e+06 | 3.391905e+06 | 3.453807e+06 | 3.516268e+06 | 3.579385e+06 | 3.643222e+06 | 3.707782e+06 | 3.772938e+06 | 3.838462e+06 | 3.903986e+06 | 3.969249e+06 | 4.034119e+06 | 4.098587e+06 |
| 184 | 184 | Peru | PER | Population, total | SP.POP.TOTL | 1.006152e+07 | 1.035024e+07 | 1.065067e+07 | 1.096154e+07 | 1.128102e+07 | 1.160768e+07 | 1.194132e+07 | 1.228208e+07 | 1.262933e+07 | 1.298245e+07 | 1.334107e+07 | 1.370434e+07 | 1.407248e+07 | 1.444765e+07 | 1.483284e+07 | 1.522995e+07 | 1.563990e+07 | 1.606132e+07 | 1.649108e+07 | 1.692475e+07 | 1.735912e+07 | 1.779255e+07 | 1.822573e+07 | 1.866044e+07 | 1.909958e+07 | 1.954496e+07 | 1.999625e+07 | 2.045171e+07 | 2.090990e+07 | 2.136886e+07 | 2.182666e+07 | 2.228313e+07 | 2.273706e+07 | 2.318423e+07 | 2.361936e+07 | 2.403876e+07 | 2.444107e+07 | 2.482741e+07 | 2.519975e+07 | 2.556130e+07 | 2.591488e+07 | 2.626136e+07 | 2.660147e+07 | 2.693774e+07 | 2.727319e+07 | 2.761041e+07 | 2.794994e+07 | 2.829272e+07 | 2.864198e+07 | 2.900151e+07 | 2.937365e+07 | 2.975999e+07 | 3.015897e+07 | 3.056572e+07 | 3.097335e+07 | 3.137667e+07 | 3.177384e+07 | 3.216548e+07 |
| 185 | 185 | Philippines | PHL | Population, total | SP.POP.TOTL | 2.627302e+07 | 2.716462e+07 | 2.808123e+07 | 2.901677e+07 | 2.996288e+07 | 3.091393e+07 | 3.186756e+07 | 3.282660e+07 | 3.379704e+07 | 3.478759e+07 | 3.580473e+07 | 3.685106e+07 | 3.792540e+07 | 3.902608e+07 | 4.014996e+07 | 4.129512e+07 | 4.246119e+07 | 4.365033e+07 | 4.486627e+07 | 4.611400e+07 | 4.739697e+07 | 4.871559e+07 | 5.006849e+07 | 5.145503e+07 | 5.287397e+07 | 5.432365e+07 | 5.580407e+07 | 5.731331e+07 | 5.884520e+07 | 6.039187e+07 | 6.194735e+07 | 6.350846e+07 | 6.507549e+07 | 6.665025e+07 | 6.823623e+07 | 6.983572e+07 | 7.144611e+07 | 7.306476e+07 | 7.469370e+07 | 7.633581e+07 | 7.799157e+07 | 7.966532e+07 | 8.135206e+07 | 8.303195e+07 | 8.467849e+07 | 8.627424e+07 | 8.780942e+07 | 8.929349e+07 | 9.075186e+07 | 9.222088e+07 | 9.372662e+07 | 9.527794e+07 | 9.686664e+07 | 9.848103e+07 | 1.001022e+08 | 1.017164e+08 | 1.033202e+08 | 1.049181e+08 |
| 186 | 186 | Palau | PLW | Population, total | SP.POP.TOTL | 9.642000e+03 | 9.900000e+03 | 1.015100e+04 | 1.037800e+04 | 1.059300e+04 | 1.078200e+04 | 1.094600e+04 | 1.108000e+04 | 1.120500e+04 | 1.133100e+04 | 1.148000e+04 | 1.165400e+04 | 1.185200e+04 | 1.204600e+04 | 1.219700e+04 | 1.227800e+04 | 1.228500e+04 | 1.222500e+04 | 1.215300e+04 | 1.212400e+04 | 1.219400e+04 | 1.238700e+04 | 1.266300e+04 | 1.301200e+04 | 1.337200e+04 | 1.369600e+04 | 1.398500e+04 | 1.424000e+04 | 1.449000e+04 | 1.475700e+04 | 1.508800e+04 | 1.547400e+04 | 1.589400e+04 | 1.634200e+04 | 1.680600e+04 | 1.725300e+04 | 1.769100e+04 | 1.812300e+04 | 1.852400e+04 | 1.887900e+04 | 1.917500e+04 | 1.940400e+04 | 1.957400e+04 | 1.970000e+04 | 1.980400e+04 | 1.990600e+04 | 2.001200e+04 | 2.011600e+04 | 2.022800e+04 | 2.034200e+04 | 2.047000e+04 | 2.059900e+04 | 2.075800e+04 | 2.092000e+04 | 2.109400e+04 | 2.128800e+04 | 2.150300e+04 | 2.172900e+04 |
| 187 | 187 | Papua New Guinea | PNG | Population, total | SP.POP.TOTL | 2.010677e+06 | 2.051947e+06 | 2.094687e+06 | 2.139303e+06 | 2.186340e+06 | 2.236206e+06 | 2.289109e+06 | 2.344977e+06 | 2.403595e+06 | 2.464548e+06 | 2.527586e+06 | 2.592628e+06 | 2.659851e+06 | 2.729580e+06 | 2.802243e+06 | 2.878156e+06 | 2.957339e+06 | 3.039660e+06 | 3.125034e+06 | 3.213360e+06 | 3.304473e+06 | 3.398469e+06 | 3.495199e+06 | 3.594004e+06 | 3.694041e+06 | 3.794720e+06 | 3.895852e+06 | 3.997702e+06 | 4.100729e+06 | 4.205654e+06 | 4.313059e+06 | 4.423007e+06 | 4.535520e+06 | 4.651169e+06 | 4.770606e+06 | 4.894276e+06 | 5.022437e+06 | 5.154910e+06 | 5.291178e+06 | 5.430479e+06 | 5.572222e+06 | 5.716152e+06 | 5.862316e+06 | 6.010724e+06 | 6.161517e+06 | 6.314709e+06 | 6.470272e+06 | 6.627922e+06 | 6.787187e+06 | 6.947447e+06 | 7.108239e+06 | 7.269348e+06 | 7.430836e+06 | 7.592865e+06 | 7.755785e+06 | 7.919825e+06 | 8.084991e+06 | 8.251162e+06 |
| 188 | 188 | Poland | POL | Population, total | SP.POP.TOTL | 2.963745e+07 | 2.996400e+07 | 3.030850e+07 | 3.071200e+07 | 3.113945e+07 | 3.144495e+07 | 3.168100e+07 | 3.198716e+07 | 3.229466e+07 | 3.254830e+07 | 3.266430e+07 | 3.278350e+07 | 3.305565e+07 | 3.335720e+07 | 3.367890e+07 | 3.401520e+07 | 3.435630e+07 | 3.468905e+07 | 3.496560e+07 | 3.524722e+07 | 3.557415e+07 | 3.589859e+07 | 3.623048e+07 | 3.657181e+07 | 3.690413e+07 | 3.720188e+07 | 3.745612e+07 | 3.766804e+07 | 3.782449e+07 | 3.796153e+07 | 3.811078e+07 | 3.824619e+07 | 3.836367e+07 | 3.846141e+07 | 3.854265e+07 | 3.859500e+07 | 3.862437e+07 | 3.864966e+07 | 3.866348e+07 | 3.866027e+07 | 3.825863e+07 | 3.824808e+07 | 3.823036e+07 | 3.820457e+07 | 3.818222e+07 | 3.816544e+07 | 3.814127e+07 | 3.812056e+07 | 3.812576e+07 | 3.815160e+07 | 3.804279e+07 | 3.806326e+07 | 3.806316e+07 | 3.804020e+07 | 3.801174e+07 | 3.798641e+07 | 3.797009e+07 | 3.797584e+07 |
| 189 | 189 | Pre-demographic dividend | PRE | Population, total | SP.POP.TOTL | 1.886362e+08 | 1.929575e+08 | 1.974661e+08 | 2.021691e+08 | 2.070740e+08 | 2.121872e+08 | 2.175228e+08 | 2.230866e+08 | 2.288681e+08 | 2.348506e+08 | 2.410277e+08 | 2.473764e+08 | 2.539147e+08 | 2.607252e+08 | 2.679189e+08 | 2.755653e+08 | 2.837156e+08 | 2.923214e+08 | 3.012307e+08 | 3.102309e+08 | 3.191749e+08 | 3.280210e+08 | 3.368347e+08 | 3.457112e+08 | 3.547941e+08 | 3.641995e+08 | 3.739305e+08 | 3.839848e+08 | 3.944657e+08 | 4.054976e+08 | 4.171588e+08 | 4.295314e+08 | 4.425735e+08 | 4.560867e+08 | 4.697908e+08 | 4.834960e+08 | 4.971260e+08 | 5.107779e+08 | 5.246474e+08 | 5.390181e+08 | 5.540975e+08 | 5.699597e+08 | 5.865532e+08 | 6.038099e+08 | 6.216115e+08 | 6.398769e+08 | 6.585865e+08 | 6.777888e+08 | 6.975491e+08 | 7.179597e+08 | 7.390823e+08 | 7.609421e+08 | 7.835058e+08 | 8.067054e+08 | 8.304427e+08 | 8.546460e+08 | 8.792925e+08 | 9.043998e+08 |
| 190 | 190 | Puerto Rico | PRI | Population, total | SP.POP.TOTL | 2.358000e+06 | 2.399722e+06 | 2.450322e+06 | 2.504530e+06 | 2.554066e+06 | 2.594000e+06 | 2.624995e+06 | 2.645674e+06 | 2.662064e+06 | 2.684150e+06 | 2.718000e+06 | 2.762190e+06 | 2.817256e+06 | 2.878786e+06 | 2.939299e+06 | 2.994000e+06 | 3.043854e+06 | 3.088690e+06 | 3.129421e+06 | 3.168088e+06 | 3.206000e+06 | 3.242552e+06 | 3.277453e+06 | 3.311138e+06 | 3.344190e+06 | 3.377000e+06 | 3.409554e+06 | 3.441850e+06 | 3.473898e+06 | 3.505650e+06 | 3.537000e+06 | 3.562110e+06 | 3.585176e+06 | 3.615497e+06 | 3.649237e+06 | 3.683103e+06 | 3.724655e+06 | 3.759430e+06 | 3.781101e+06 | 3.800081e+06 | 3.810605e+06 | 3.818774e+06 | 3.823701e+06 | 3.826095e+06 | 3.826878e+06 | 3.821362e+06 | 3.805214e+06 | 3.782995e+06 | 3.760866e+06 | 3.740410e+06 | 3.721525e+06 | 3.678732e+06 | 3.634488e+06 | 3.593077e+06 | 3.534874e+06 | 3.473177e+06 | 3.406520e+06 | 3.337177e+06 |
| 191 | 191 | Korea, Dem. People’s Rep. | PRK | Population, total | SP.POP.TOTL | 1.142418e+07 | 1.166560e+07 | 1.187171e+07 | 1.206547e+07 | 1.228242e+07 | 1.254752e+07 | 1.286495e+07 | 1.322269e+07 | 1.360998e+07 | 1.401034e+07 | 1.441040e+07 | 1.480952e+07 | 1.520777e+07 | 1.559335e+07 | 1.595208e+07 | 1.627474e+07 | 1.655475e+07 | 1.679658e+07 | 1.701598e+07 | 1.723567e+07 | 1.747214e+07 | 1.773123e+07 | 1.800856e+07 | 1.829821e+07 | 1.859014e+07 | 1.887724e+07 | 1.915680e+07 | 1.943199e+07 | 1.970832e+07 | 1.999376e+07 | 2.029305e+07 | 2.060915e+07 | 2.093740e+07 | 2.126583e+07 | 2.157798e+07 | 2.186230e+07 | 2.211355e+07 | 2.233564e+07 | 2.253734e+07 | 2.273198e+07 | 2.292908e+07 | 2.313181e+07 | 2.333668e+07 | 2.353854e+07 | 2.372950e+07 | 2.390417e+07 | 2.406110e+07 | 2.420329e+07 | 2.433515e+07 | 2.446302e+07 | 2.459160e+07 | 2.472230e+07 | 2.485403e+07 | 2.498598e+07 | 2.511636e+07 | 2.524392e+07 | 2.536862e+07 | 2.549096e+07 |
| 192 | 192 | Portugal | PRT | Population, total | SP.POP.TOTL | 8.857716e+06 | 8.929316e+06 | 8.993985e+06 | 9.030355e+06 | 9.035365e+06 | 8.998595e+06 | 8.930990e+06 | 8.874520e+06 | 8.836650e+06 | 8.757705e+06 | 8.680431e+06 | 8.643756e+06 | 8.630430e+06 | 8.633100e+06 | 8.754365e+06 | 9.093470e+06 | 9.355810e+06 | 9.455675e+06 | 9.558250e+06 | 9.661265e+06 | 9.766312e+06 | 9.851362e+06 | 9.911771e+06 | 9.957865e+06 | 9.996232e+06 | 1.002361e+07 | 1.003273e+07 | 1.003003e+07 | 1.001961e+07 | 1.000500e+07 | 9.983218e+06 | 9.960235e+06 | 9.952494e+06 | 9.964675e+06 | 9.991525e+06 | 1.002618e+07 | 1.006394e+07 | 1.010898e+07 | 1.016020e+07 | 1.021783e+07 | 1.028990e+07 | 1.036272e+07 | 1.041963e+07 | 1.045882e+07 | 1.048386e+07 | 1.050333e+07 | 1.052229e+07 | 1.054296e+07 | 1.055818e+07 | 1.056825e+07 | 1.057310e+07 | 1.055756e+07 | 1.051484e+07 | 1.045730e+07 | 1.040106e+07 | 1.035808e+07 | 1.032545e+07 | 1.029372e+07 |
| 193 | 193 | Paraguay | PRY | Population, total | SP.POP.TOTL | 1.902875e+06 | 1.953328e+06 | 2.005337e+06 | 2.058915e+06 | 2.114095e+06 | 2.170859e+06 | 2.229376e+06 | 2.289582e+06 | 2.350901e+06 | 2.412566e+06 | 2.474106e+06 | 2.535359e+06 | 2.596739e+06 | 2.659088e+06 | 2.723523e+06 | 2.790962e+06 | 2.861581e+06 | 2.935375e+06 | 3.012829e+06 | 3.094482e+06 | 3.180630e+06 | 3.271456e+06 | 3.366719e+06 | 3.465793e+06 | 3.567752e+06 | 3.671826e+06 | 3.777763e+06 | 3.885436e+06 | 3.994331e+06 | 4.103911e+06 | 4.213742e+06 | 4.323410e+06 | 4.432736e+06 | 4.541902e+06 | 4.651225e+06 | 4.760850e+06 | 4.870694e+06 | 4.980344e+06 | 5.089310e+06 | 5.196937e+06 | 5.302700e+06 | 5.406624e+06 | 5.508611e+06 | 5.607950e+06 | 5.703740e+06 | 5.795494e+06 | 5.882796e+06 | 5.966159e+06 | 6.047117e+06 | 6.127837e+06 | 6.209877e+06 | 6.293783e+06 | 6.379219e+06 | 6.465740e+06 | 6.552584e+06 | 6.639119e+06 | 6.725308e+06 | 6.811297e+06 |
| 194 | 194 | West Bank and Gaza | PSE | Population, total | SP.POP.TOTL | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1.978248e+06 | 2.068845e+06 | 2.163591e+06 | 2.262676e+06 | 2.366298e+06 | 2.474666e+06 | 2.587997e+06 | 2.706518e+06 | 2.776568e+06 | 2.848431e+06 | 2.922153e+06 | 2.997784e+06 | 3.075373e+06 | 3.154969e+06 | 3.236626e+06 | 3.320396e+06 | 3.406334e+06 | 3.494496e+06 | 3.596688e+06 | 3.702218e+06 | 3.811102e+06 | 3.927051e+06 | 4.046901e+06 | 4.169506e+06 | 4.294682e+06 | 4.422143e+06 | 4.551566e+06 | 4.684777e+06 |
| 195 | 195 | Pacific island small states | PSS | Population, total | SP.POP.TOTL | 8.658090e+05 | 8.942140e+05 | 9.242210e+05 | 9.551010e+05 | 9.858730e+05 | 1.015765e+06 | 1.044547e+06 | 1.072398e+06 | 1.099416e+06 | 1.125870e+06 | 1.152036e+06 | 1.177890e+06 | 1.203419e+06 | 1.228877e+06 | 1.254518e+06 | 1.280559e+06 | 1.306931e+06 | 1.333618e+06 | 1.361131e+06 | 1.390032e+06 | 1.420671e+06 | 1.453516e+06 | 1.488183e+06 | 1.523011e+06 | 1.555765e+06 | 1.585014e+06 | 1.609916e+06 | 1.631160e+06 | 1.650645e+06 | 1.671076e+06 | 1.694408e+06 | 1.721262e+06 | 1.750902e+06 | 1.782065e+06 | 1.812877e+06 | 1.841944e+06 | 1.869026e+06 | 1.894564e+06 | 1.918741e+06 | 1.941848e+06 | 1.964216e+06 | 1.985712e+06 | 2.006448e+06 | 2.027212e+06 | 2.049025e+06 | 2.072665e+06 | 2.098492e+06 | 2.126235e+06 | 2.155339e+06 | 2.184837e+06 | 2.214096e+06 | 2.242763e+06 | 2.271298e+06 | 2.300045e+06 | 2.329458e+06 | 2.358955e+06 | 2.388875e+06 | 2.419188e+06 |
| 196 | 196 | Post-demographic dividend | PST | Population, total | SP.POP.TOTL | 7.547053e+08 | 7.655171e+08 | 7.749706e+08 | 7.842745e+08 | 7.934057e+08 | 8.022348e+08 | 8.104773e+08 | 8.181624e+08 | 8.248813e+08 | 8.333073e+08 | 8.408435e+08 | 8.489647e+08 | 8.570320e+08 | 8.641056e+08 | 8.721961e+08 | 8.796506e+08 | 8.855292e+08 | 8.915850e+08 | 8.976827e+08 | 9.040347e+08 | 9.101105e+08 | 9.161872e+08 | 9.217024e+08 | 9.267849e+08 | 9.315675e+08 | 9.363915e+08 | 9.416376e+08 | 9.469646e+08 | 9.525085e+08 | 9.584587e+08 | 9.646019e+08 | 9.709058e+08 | 9.777311e+08 | 9.842875e+08 | 9.899943e+08 | 9.954143e+08 | 1.000644e+09 | 1.005864e+09 | 1.010699e+09 | 1.015607e+09 | 1.020592e+09 | 1.025668e+09 | 1.030742e+09 | 1.035919e+09 | 1.041303e+09 | 1.046611e+09 | 1.052237e+09 | 1.058175e+09 | 1.064603e+09 | 1.070108e+09 | 1.075131e+09 | 1.078064e+09 | 1.082727e+09 | 1.087610e+09 | 1.092679e+09 | 1.097736e+09 | 1.102779e+09 | 1.107375e+09 |
| 197 | 197 | French Polynesia | PYF | Population, total | SP.POP.TOTL | 7.807600e+04 | 8.070300e+04 | 8.365100e+04 | 8.683700e+04 | 9.013200e+04 | 9.343800e+04 | 9.673200e+04 | 1.000290e+05 | 1.033860e+05 | 1.068570e+05 | 1.104950e+05 | 1.143130e+05 | 1.182790e+05 | 1.223560e+05 | 1.264860e+05 | 1.306190e+05 | 1.347480e+05 | 1.388640e+05 | 1.430320e+05 | 1.472960e+05 | 1.517080e+05 | 1.562430e+05 | 1.608880e+05 | 1.656130e+05 | 1.703960e+05 | 1.752040e+05 | 1.800750e+05 | 1.849500e+05 | 1.897380e+05 | 1.942520e+05 | 1.983750e+05 | 2.020160e+05 | 2.052660e+05 | 2.083450e+05 | 2.115790e+05 | 2.151960e+05 | 2.192830e+05 | 2.237310e+05 | 2.283760e+05 | 2.329520e+05 | 2.372580e+05 | 2.412730e+05 | 2.450060e+05 | 2.484990e+05 | 2.517750e+05 | 2.548860e+05 | 2.578320e+05 | 2.605940e+05 | 2.631790e+05 | 2.655810e+05 | 2.678200e+05 | 2.698430e+05 | 2.717030e+05 | 2.735280e+05 | 2.754840e+05 | 2.776900e+05 | 2.802080e+05 | 2.830070e+05 |
| 198 | 198 | Qatar | QAT | Population, total | SP.POP.TOTL | 4.738400e+04 | 5.142100e+04 | 5.626300e+04 | 6.171700e+04 | 6.756700e+04 | 7.363300e+04 | 7.984400e+04 | 8.629500e+04 | 9.320100e+04 | 1.008740e+05 | 1.095140e+05 | 1.194240e+05 | 1.305340e+05 | 1.422410e+05 | 1.537040e+05 | 1.644130e+05 | 1.738360e+05 | 1.824430e+05 | 1.920930e+05 | 2.053130e+05 | 2.237750e+05 | 2.481440e+05 | 2.773960e+05 | 3.094790e+05 | 3.414550e+05 | 3.710810e+05 | 3.979320e+05 | 4.223410e+05 | 4.437940e+05 | 4.618700e+05 | 4.764450e+05 | 4.874910e+05 | 4.955170e+05 | 5.015660e+05 | 5.070950e+05 | 5.134550e+05 | 5.223040e+05 | 5.346080e+05 | 5.504300e+05 | 5.694470e+05 | 5.922670e+05 | 6.168860e+05 | 6.456590e+05 | 6.885860e+05 | 7.588550e+05 | 8.648630e+05 | 1.010382e+06 | 1.189633e+06 | 1.389342e+06 | 1.590780e+06 | 1.779676e+06 | 1.952054e+06 | 2.109568e+06 | 2.250473e+06 | 2.374419e+06 | 2.481539e+06 | 2.569804e+06 | 2.639211e+06 |
| 199 | 199 | Romania | ROU | Population, total | SP.POP.TOTL | 1.840690e+07 | 1.855525e+07 | 1.867655e+07 | 1.879785e+07 | 1.891913e+07 | 1.903158e+07 | 1.921545e+07 | 1.953424e+07 | 1.979983e+07 | 2.000914e+07 | 2.025040e+07 | 2.046157e+07 | 2.065796e+07 | 2.083568e+07 | 2.102943e+07 | 2.129358e+07 | 2.155163e+07 | 2.175610e+07 | 2.195146e+07 | 2.209049e+07 | 2.224265e+07 | 2.241517e+07 | 2.251539e+07 | 2.258879e+07 | 2.265594e+07 | 2.275543e+07 | 2.285927e+07 | 2.294943e+07 | 2.305766e+07 | 2.316146e+07 | 2.320184e+07 | 2.300116e+07 | 2.279428e+07 | 2.276328e+07 | 2.273021e+07 | 2.268427e+07 | 2.261900e+07 | 2.255398e+07 | 2.250734e+07 | 2.247204e+07 | 2.244297e+07 | 2.213197e+07 | 2.173050e+07 | 2.157433e+07 | 2.145175e+07 | 2.131968e+07 | 2.119376e+07 | 2.088298e+07 | 2.053788e+07 | 2.036749e+07 | 2.024687e+07 | 2.014753e+07 | 2.005804e+07 | 1.998369e+07 | 1.990898e+07 | 1.981548e+07 | 1.970233e+07 | 1.958654e+07 |
| 200 | 200 | Russian Federation | RUS | Population, total | SP.POP.TOTL | 1.198970e+08 | 1.212360e+08 | 1.225910e+08 | 1.239600e+08 | 1.253450e+08 | 1.267450e+08 | 1.274680e+08 | 1.281960e+08 | 1.289280e+08 | 1.296640e+08 | 1.304040e+08 | 1.311550e+08 | 1.319090e+08 | 1.326690e+08 | 1.334320e+08 | 1.342000e+08 | 1.351470e+08 | 1.361000e+08 | 1.370600e+08 | 1.380270e+08 | 1.390100e+08 | 1.399410e+08 | 1.408230e+08 | 1.416680e+08 | 1.427450e+08 | 1.438580e+08 | 1.448940e+08 | 1.459080e+08 | 1.468570e+08 | 1.477210e+08 | 1.482920e+08 | 1.486240e+08 | 1.486890e+08 | 1.485200e+08 | 1.483360e+08 | 1.483757e+08 | 1.481600e+08 | 1.479153e+08 | 1.476707e+08 | 1.472144e+08 | 1.465966e+08 | 1.459761e+08 | 1.453060e+08 | 1.446483e+08 | 1.440671e+08 | 1.435185e+08 | 1.430495e+08 | 1.428051e+08 | 1.427424e+08 | 1.427853e+08 | 1.428494e+08 | 1.429609e+08 | 1.432017e+08 | 1.435069e+08 | 1.438197e+08 | 1.440969e+08 | 1.443424e+08 | 1.444950e+08 |
| 201 | 201 | Rwanda | RWA | Population, total | SP.POP.TOTL | 2.933428e+06 | 2.996096e+06 | 3.050604e+06 | 3.102972e+06 | 3.161724e+06 | 3.232934e+06 | 3.319082e+06 | 3.418317e+06 | 3.527263e+06 | 3.640591e+06 | 3.754541e+06 | 3.868337e+06 | 3.983700e+06 | 4.102321e+06 | 4.226799e+06 | 4.359092e+06 | 4.499509e+06 | 4.647615e+06 | 4.803725e+06 | 4.968074e+06 | 5.140716e+06 | 5.315032e+06 | 5.489322e+06 | 5.673614e+06 | 5.881906e+06 | 6.120107e+06 | 6.407672e+06 | 6.732131e+06 | 7.030179e+06 | 7.216028e+06 | 7.235798e+06 | 7.051759e+06 | 6.701851e+06 | 6.299909e+06 | 6.005095e+06 | 5.928078e+06 | 6.115168e+06 | 6.522382e+06 | 7.059813e+06 | 7.593239e+06 | 8.025703e+06 | 8.329406e+06 | 8.536205e+06 | 8.680346e+06 | 8.818438e+06 | 8.991735e+06 | 9.206580e+06 | 9.447402e+06 | 9.708169e+06 | 9.977446e+06 | 1.024684e+07 | 1.051607e+07 | 1.078885e+07 | 1.106515e+07 | 1.134536e+07 | 1.162955e+07 | 1.191751e+07 | 1.220841e+07 |
| 202 | 202 | South Asia | SAS | Population, total | SP.POP.TOTL | 5.718357e+08 | 5.838941e+08 | 5.964139e+08 | 6.093918e+08 | 6.228226e+08 | 6.367018e+08 | 6.510364e+08 | 6.658267e+08 | 6.810549e+08 | 6.966972e+08 | 7.127409e+08 | 7.291736e+08 | 7.460124e+08 | 7.633106e+08 | 7.811406e+08 | 7.995533e+08 | 8.185604e+08 | 8.381423e+08 | 8.582779e+08 | 8.789330e+08 | 9.000765e+08 | 9.216969e+08 | 9.437816e+08 | 9.662936e+08 | 9.891890e+08 | 1.012430e+09 | 1.035983e+09 | 1.059829e+09 | 1.083963e+09 | 1.108386e+09 | 1.133089e+09 | 1.158058e+09 | 1.183254e+09 | 1.208613e+09 | 1.234059e+09 | 1.259531e+09 | 1.284978e+09 | 1.310388e+09 | 1.335778e+09 | 1.361185e+09 | 1.386626e+09 | 1.412104e+09 | 1.437568e+09 | 1.462907e+09 | 1.487975e+09 | 1.512671e+09 | 1.536944e+09 | 1.560819e+09 | 1.584359e+09 | 1.607664e+09 | 1.630807e+09 | 1.653799e+09 | 1.676615e+09 | 1.699310e+09 | 1.721848e+09 | 1.744200e+09 | 1.766394e+09 | 1.788389e+09 |
| 203 | 203 | Saudi Arabia | SAU | Population, total | SP.POP.TOTL | 4.086539e+06 | 4.218879e+06 | 4.362864e+06 | 4.516659e+06 | 4.677404e+06 | 4.843635e+06 | 5.015204e+06 | 5.194846e+06 | 5.387486e+06 | 5.599628e+06 | 5.836389e+06 | 6.100994e+06 | 6.393894e+06 | 6.714095e+06 | 7.059334e+06 | 7.428703e+06 | 7.818613e+06 | 8.231604e+06 | 8.679840e+06 | 9.179621e+06 | 9.740599e+06 | 1.036666e+07 | 1.104808e+07 | 1.176384e+07 | 1.248497e+07 | 1.318912e+07 | 1.386901e+07 | 1.452566e+07 | 1.515522e+07 | 1.575594e+07 | 1.632682e+07 | 1.686783e+07 | 1.737883e+07 | 1.785975e+07 | 1.831109e+07 | 1.873584e+07 | 1.913158e+07 | 1.950558e+07 | 1.988246e+07 | 2.029441e+07 | 2.076431e+07 | 2.130359e+07 | 2.190631e+07 | 2.255642e+07 | 2.322889e+07 | 2.390565e+07 | 2.457830e+07 | 2.525257e+07 | 2.594077e+07 | 2.666149e+07 | 2.742568e+07 | 2.823802e+07 | 2.908636e+07 | 2.994448e+07 | 3.077672e+07 | 3.155714e+07 | 3.227569e+07 | 3.293821e+07 |
| 204 | 204 | Sudan | SDN | Population, total | SP.POP.TOTL | 7.544491e+06 | 7.769482e+06 | 8.004121e+06 | 8.248812e+06 | 8.503994e+06 | 8.770097e+06 | 9.047798e+06 | 9.337657e+06 | 9.639840e+06 | 9.954410e+06 | 1.028170e+07 | 1.062147e+07 | 1.097462e+07 | 1.134393e+07 | 1.173296e+07 | 1.214414e+07 | 1.257841e+07 | 1.303462e+07 | 1.351042e+07 | 1.400230e+07 | 1.450747e+07 | 1.502727e+07 | 1.556219e+07 | 1.610773e+07 | 1.665805e+07 | 1.721019e+07 | 1.775717e+07 | 1.830259e+07 | 1.886632e+07 | 1.947561e+07 | 2.014759e+07 | 2.089362e+07 | 2.170148e+07 | 2.253594e+07 | 2.334788e+07 | 2.410299e+07 | 2.478619e+07 | 2.541045e+07 | 2.600354e+07 | 2.660704e+07 | 2.725054e+07 | 2.794500e+07 | 2.867956e+07 | 2.943594e+07 | 3.018634e+07 | 3.091191e+07 | 3.160706e+07 | 3.228253e+07 | 3.295550e+07 | 3.365062e+07 | 3.438596e+07 | 3.516731e+07 | 3.599019e+07 | 3.684992e+07 | 3.773791e+07 | 3.864780e+07 | 3.957883e+07 | 4.053333e+07 |
| 205 | 205 | Senegal | SEN | Population, total | SP.POP.TOTL | 3.206749e+06 | 3.295293e+06 | 3.386863e+06 | 3.481745e+06 | 3.580312e+06 | 3.682876e+06 | 3.789211e+06 | 3.899237e+06 | 4.013539e+06 | 4.132844e+06 | 4.257505e+06 | 4.388458e+06 | 4.525114e+06 | 4.664444e+06 | 4.802348e+06 | 4.936209e+06 | 5.064674e+06 | 5.189539e+06 | 5.315265e+06 | 5.448110e+06 | 5.592646e+06 | 5.750338e+06 | 5.920059e+06 | 6.100495e+06 | 6.289327e+06 | 6.484738e+06 | 6.686159e+06 | 6.893896e+06 | 7.107976e+06 | 7.328600e+06 | 7.555617e+06 | 7.789653e+06 | 8.029725e+06 | 8.272170e+06 | 8.512173e+06 | 8.746606e+06 | 8.974077e+06 | 9.196528e+06 | 9.418393e+06 | 9.645957e+06 | 9.884052e+06 | 1.013450e+07 | 1.039686e+07 | 1.067099e+07 | 1.095594e+07 | 1.125127e+07 | 1.155676e+07 | 1.187356e+07 | 1.220396e+07 | 1.255092e+07 | 1.291623e+07 | 1.330091e+07 | 1.370351e+07 | 1.412032e+07 | 1.454611e+07 | 1.497699e+07 | 1.541161e+07 | 1.585057e+07 |
| 206 | 206 | Singapore | SGP | Population, total | SP.POP.TOTL | 1.646400e+06 | 1.702400e+06 | 1.750200e+06 | 1.795000e+06 | 1.841600e+06 | 1.886900e+06 | 1.934400e+06 | 1.977600e+06 | 2.012000e+06 | 2.042500e+06 | 2.074500e+06 | 2.112900e+06 | 2.152400e+06 | 2.193000e+06 | 2.229800e+06 | 2.262600e+06 | 2.293300e+06 | 2.325300e+06 | 2.353600e+06 | 2.383500e+06 | 2.413945e+06 | 2.532835e+06 | 2.646466e+06 | 2.681061e+06 | 2.732221e+06 | 2.735957e+06 | 2.733373e+06 | 2.774789e+06 | 2.846108e+06 | 2.930901e+06 | 3.047132e+06 | 3.135083e+06 | 3.230698e+06 | 3.313471e+06 | 3.419048e+06 | 3.524506e+06 | 3.670704e+06 | 3.796038e+06 | 3.927213e+06 | 3.958723e+06 | 4.027887e+06 | 4.138012e+06 | 4.175950e+06 | 4.114826e+06 | 4.166664e+06 | 4.265762e+06 | 4.401365e+06 | 4.588599e+06 | 4.839396e+06 | 4.987573e+06 | 5.076732e+06 | 5.183688e+06 | 5.312437e+06 | 5.399162e+06 | 5.469724e+06 | 5.535002e+06 | 5.607283e+06 | 5.612253e+06 |
| 207 | 207 | Solomon Islands | SLB | Population, total | SP.POP.TOTL | 1.178660e+05 | 1.213960e+05 | 1.250640e+05 | 1.288660e+05 | 1.327820e+05 | 1.368470e+05 | 1.410260e+05 | 1.453510e+05 | 1.499210e+05 | 1.548750e+05 | 1.602900e+05 | 1.662120e+05 | 1.725980e+05 | 1.793490e+05 | 1.863320e+05 | 1.934450e+05 | 2.006400e+05 | 2.079370e+05 | 2.153470e+05 | 2.228970e+05 | 2.306070e+05 | 2.384790e+05 | 2.464930e+05 | 2.545960e+05 | 2.627090e+05 | 2.708010e+05 | 2.788380e+05 | 2.868630e+05 | 2.949640e+05 | 3.032530e+05 | 3.118400e+05 | 3.207530e+05 | 3.299530e+05 | 3.394560e+05 | 3.492250e+05 | 3.592250e+05 | 3.694690e+05 | 3.799470e+05 | 3.906430e+05 | 4.015380e+05 | 4.126090e+05 | 4.238530e+05 | 4.352620e+05 | 4.467690e+05 | 4.583240e+05 | 4.698850e+05 | 4.814220e+05 | 4.929400e+05 | 5.044770e+05 | 5.160790e+05 | 5.277900e+05 | 5.396140e+05 | 5.515310e+05 | 5.635130e+05 | 5.755040e+05 | 5.874820e+05 | 5.994190e+05 | 6.113430e+05 |
| 208 | 208 | Sierra Leone | SLE | Population, total | SP.POP.TOTL | 2.297110e+06 | 2.329204e+06 | 2.363013e+06 | 2.398414e+06 | 2.435204e+06 | 2.473294e+06 | 2.512652e+06 | 2.553529e+06 | 2.596568e+06 | 2.642608e+06 | 2.692259e+06 | 2.745779e+06 | 2.803031e+06 | 2.863739e+06 | 2.927468e+06 | 2.993876e+06 | 3.062956e+06 | 3.134800e+06 | 3.209263e+06 | 3.286179e+06 | 3.365441e+06 | 3.445277e+06 | 3.525399e+06 | 3.608751e+06 | 3.699467e+06 | 3.799550e+06 | 3.912438e+06 | 4.034668e+06 | 4.152984e+06 | 4.249468e+06 | 4.312246e+06 | 4.337239e+06 | 4.331332e+06 | 4.307299e+06 | 4.283621e+06 | 4.274819e+06 | 4.282350e+06 | 4.305455e+06 | 4.353646e+06 | 4.437803e+06 | 4.564297e+06 | 4.739147e+06 | 4.957216e+06 | 5.199549e+06 | 5.439695e+06 | 5.658379e+06 | 5.848692e+06 | 6.015417e+06 | 6.165372e+06 | 6.310260e+06 | 6.458720e+06 | 6.611692e+06 | 6.766103e+06 | 6.922079e+06 | 7.079162e+06 | 7.237025e+06 | 7.396190e+06 | 7.557212e+06 |
| 209 | 209 | El Salvador | SLV | Population, total | SP.POP.TOTL | 2.762899e+06 | 2.843240e+06 | 2.927857e+06 | 3.015887e+06 | 3.106186e+06 | 3.197863e+06 | 3.290411e+06 | 3.383701e+06 | 3.477742e+06 | 3.572707e+06 | 3.668595e+06 | 3.765166e+06 | 3.861931e+06 | 3.958323e+06 | 4.053713e+06 | 4.147525e+06 | 4.239675e+06 | 4.329964e+06 | 4.417516e+06 | 4.501316e+06 | 4.580704e+06 | 4.655364e+06 | 4.725720e+06 | 4.792903e+06 | 4.858532e+06 | 4.923860e+06 | 4.988943e+06 | 5.053714e+06 | 5.119035e+06 | 5.185943e+06 | 5.254984e+06 | 5.326657e+06 | 5.400331e+06 | 5.474000e+06 | 5.544945e+06 | 5.611115e+06 | 5.671925e+06 | 5.727755e+06 | 5.778706e+06 | 5.825187e+06 | 5.867626e+06 | 5.905962e+06 | 5.940303e+06 | 5.971535e+06 | 6.000775e+06 | 6.028961e+06 | 6.056478e+06 | 6.083475e+06 | 6.110301e+06 | 6.137276e+06 | 6.164626e+06 | 6.192560e+06 | 6.221246e+06 | 6.250777e+06 | 6.281189e+06 | 6.312478e+06 | 6.344722e+06 | 6.377853e+06 |
| 210 | 210 | San Marino | SMR | Population, total | SP.POP.TOTL | 1.539700e+04 | 1.578900e+04 | 1.619900e+04 | 1.662100e+04 | 1.703200e+04 | 1.744100e+04 | 1.783500e+04 | 1.822900e+04 | 1.858900e+04 | 1.889500e+04 | 1.913800e+04 | 1.930300e+04 | 1.939800e+04 | 1.946600e+04 | 1.956200e+04 | 1.973500e+04 | 1.998000e+04 | 2.029600e+04 | 2.066000e+04 | 2.103000e+04 | 2.136100e+04 | 2.166600e+04 | 2.194300e+04 | 2.221000e+04 | 2.245500e+04 | 2.270800e+04 | 2.296100e+04 | 2.321000e+04 | 2.346600e+04 | 2.374000e+04 | 2.404300e+04 | 2.438600e+04 | 2.474900e+04 | 2.514100e+04 | 2.551600e+04 | 2.587700e+04 | 2.620900e+04 | 2.650800e+04 | 2.679900e+04 | 2.709600e+04 | 2.741800e+04 | 2.776200e+04 | 2.812100e+04 | 2.849400e+04 | 2.886600e+04 | 2.924000e+04 | 2.961400e+04 | 2.997700e+04 | 3.035100e+04 | 3.072300e+04 | 3.111000e+04 | 3.150400e+04 | 3.191400e+04 | 3.230300e+04 | 3.265700e+04 | 3.296000e+04 | 3.320300e+04 | 3.340000e+04 |
| 211 | 211 | Somalia | SOM | Population, total | SP.POP.TOTL | 2.755947e+06 | 2.814096e+06 | 2.874190e+06 | 2.936443e+06 | 3.001126e+06 | 3.068437e+06 | 3.143836e+06 | 3.228495e+06 | 3.313786e+06 | 3.387632e+06 | 3.444553e+06 | 3.470324e+06 | 3.475022e+06 | 3.506008e+06 | 3.627504e+06 | 3.880320e+06 | 4.289469e+06 | 4.827362e+06 | 5.417740e+06 | 5.953615e+06 | 6.359126e+06 | 6.604872e+06 | 6.716448e+06 | 6.740220e+06 | 6.747932e+06 | 6.791716e+06 | 6.887372e+06 | 7.018109e+06 | 7.165295e+06 | 7.298417e+06 | 7.397347e+06 | 7.455936e+06 | 7.488544e+06 | 7.519811e+06 | 7.583954e+06 | 7.704894e+06 | 7.892389e+06 | 8.137475e+06 | 8.422372e+06 | 8.720231e+06 | 9.011479e+06 | 9.290823e+06 | 9.564167e+06 | 9.836397e+06 | 1.011623e+07 | 1.040992e+07 | 1.071832e+07 | 1.103860e+07 | 1.136928e+07 | 1.170799e+07 | 1.205322e+07 | 1.240472e+07 | 1.276378e+07 | 1.313235e+07 | 1.351312e+07 | 1.390813e+07 | 1.431800e+07 | 1.474252e+07 |
| 212 | 212 | Serbia | SRB | Population, total | SP.POP.TOTL | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 7.586000e+06 | 7.595636e+06 | 7.646424e+06 | 7.699307e+06 | 7.734639e+06 | 7.625357e+06 | 7.617794e+06 | 7.596501e+06 | 7.567745e+06 | 7.540401e+06 | 7.516346e+06 | 7.503433e+06 | 7.496522e+06 | 7.480591e+06 | 7.463157e+06 | 7.440769e+06 | 7.411569e+06 | 7.381579e+06 | 7.350222e+06 | 7.320807e+06 | 7.291436e+06 | 7.234099e+06 | 7.199077e+06 | 7.164132e+06 | 7.130576e+06 | 7.095383e+06 | 7.058322e+06 | 7.022268e+06 |
| 213 | 213 | Sub-Saharan Africa (excluding high income) | SSA | Population, total | SP.POP.TOTL | 2.285443e+08 | 2.339657e+08 | 2.396031e+08 | 2.454581e+08 | 2.515301e+08 | 2.578211e+08 | 2.643375e+08 | 2.710894e+08 | 2.780879e+08 | 2.853456e+08 | 2.928755e+08 | 3.006823e+08 | 3.087755e+08 | 3.171772e+08 | 3.259141e+08 | 3.350056e+08 | 3.444618e+08 | 3.542814e+08 | 3.644537e+08 | 3.749723e+08 | 3.858220e+08 | 3.970015e+08 | 4.085126e+08 | 4.203492e+08 | 4.325087e+08 | 4.449828e+08 | 4.577698e+08 | 4.708705e+08 | 4.842890e+08 | 4.980336e+08 | 5.121076e+08 | 5.265286e+08 | 5.412949e+08 | 5.563796e+08 | 5.717544e+08 | 5.873943e+08 | 6.033092e+08 | 6.195306e+08 | 6.361037e+08 | 6.530995e+08 | 6.705685e+08 | 6.885348e+08 | 7.070161e+08 | 7.260578e+08 | 7.457056e+08 | 7.659976e+08 | 7.869512e+08 | 8.085751e+08 | 8.308786e+08 | 8.538664e+08 | 8.775386e+08 | 9.019025e+08 | 9.269516e+08 | 9.526441e+08 | 9.789266e+08 | 1.005757e+09 | 1.033118e+09 | 1.061012e+09 |
| 214 | 214 | South Sudan | SSD | Population, total | SP.POP.TOTL | 2.955152e+06 | 3.011110e+06 | 3.069913e+06 | 3.131557e+06 | 3.196113e+06 | 3.263638e+06 | 3.334191e+06 | 3.407800e+06 | 3.484537e+06 | 3.564465e+06 | 3.647709e+06 | 3.734418e+06 | 3.824762e+06 | 3.918922e+06 | 4.017075e+06 | 4.119438e+06 | 4.224529e+06 | 4.332287e+06 | 4.445826e+06 | 4.569423e+06 | 4.705224e+06 | 4.853927e+06 | 5.011726e+06 | 5.170558e+06 | 5.319609e+06 | 5.450424e+06 | 5.565545e+06 | 5.666078e+06 | 5.741235e+06 | 5.777498e+06 | 5.768481e+06 | 5.705378e+06 | 5.599814e+06 | 5.490915e+06 | 5.431738e+06 | 5.459519e+06 | 5.591114e+06 | 5.814006e+06 | 6.099923e+06 | 6.405864e+06 | 6.700656e+06 | 6.974442e+06 | 7.237276e+06 | 7.501642e+06 | 7.787655e+06 | 8.108877e+06 | 8.468152e+06 | 8.856800e+06 | 9.263136e+06 | 9.670667e+06 | 1.006719e+07 | 1.044886e+07 | 1.081826e+07 | 1.117749e+07 | 1.153097e+07 | 1.188214e+07 | 1.223073e+07 | 1.257571e+07 |
| 215 | 215 | Sub-Saharan Africa | SSF | Population, total | SP.POP.TOTL | 2.285860e+08 | 2.340086e+08 | 2.396471e+08 | 2.455033e+08 | 2.515764e+08 | 2.578686e+08 | 2.643862e+08 | 2.711393e+08 | 2.781390e+08 | 2.853980e+08 | 2.929291e+08 | 3.007370e+08 | 3.088315e+08 | 3.172341e+08 | 3.259720e+08 | 3.350649e+08 | 3.445223e+08 | 3.543432e+08 | 3.645158e+08 | 3.750350e+08 | 3.858853e+08 | 3.970656e+08 | 4.085770e+08 | 4.204135e+08 | 4.325734e+08 | 4.450481e+08 | 4.578354e+08 | 4.709390e+08 | 4.843577e+08 | 4.981028e+08 | 5.121771e+08 | 5.265990e+08 | 5.413657e+08 | 5.564519e+08 | 5.718286e+08 | 5.874696e+08 | 6.033856e+08 | 6.196080e+08 | 6.361826e+08 | 6.531799e+08 | 6.706496e+08 | 6.886160e+08 | 7.070998e+08 | 7.261406e+08 | 7.457881e+08 | 7.660805e+08 | 7.870358e+08 | 8.086602e+08 | 8.309656e+08 | 8.539537e+08 | 8.776284e+08 | 9.019899e+08 | 9.270399e+08 | 9.527341e+08 | 9.790179e+08 | 1.005850e+09 | 1.033213e+09 | 1.061108e+09 |
| 216 | 216 | Small states | SST | Population, total | SP.POP.TOTL | 1.426044e+07 | 1.453822e+07 | 1.482127e+07 | 1.510765e+07 | 1.539771e+07 | 1.568825e+07 | 1.597654e+07 | 1.626370e+07 | 1.655600e+07 | 1.685398e+07 | 1.715959e+07 | 1.747636e+07 | 1.780013e+07 | 1.812704e+07 | 1.845608e+07 | 1.878904e+07 | 1.912033e+07 | 1.945389e+07 | 1.979478e+07 | 2.015773e+07 | 2.054726e+07 | 2.096386e+07 | 2.140791e+07 | 2.186555e+07 | 2.233126e+07 | 2.280617e+07 | 2.328588e+07 | 2.377049e+07 | 2.425166e+07 | 2.472623e+07 | 2.518692e+07 | 2.564238e+07 | 2.606619e+07 | 2.647146e+07 | 2.688100e+07 | 2.728410e+07 | 2.769162e+07 | 2.810760e+07 | 2.852815e+07 | 2.897606e+07 | 2.943428e+07 | 2.988705e+07 | 3.035230e+07 | 3.083883e+07 | 3.136592e+07 | 3.194739e+07 | 3.258690e+07 | 3.327825e+07 | 3.400639e+07 | 3.473979e+07 | 3.546524e+07 | 3.617193e+07 | 3.687502e+07 | 3.757201e+07 | 3.826616e+07 | 3.896041e+07 | 3.964685e+07 | 4.032450e+07 |
| 217 | 217 | Sao Tome and Principe | STP | Population, total | SP.POP.TOTL | 6.425300e+04 | 6.455100e+04 | 6.443200e+04 | 6.417700e+04 | 6.421200e+04 | 6.479600e+04 | 6.606300e+04 | 6.787300e+04 | 7.004600e+04 | 7.224100e+04 | 7.425300e+04 | 7.598800e+04 | 7.753700e+04 | 7.902200e+04 | 8.067000e+04 | 8.260700e+04 | 8.488500e+04 | 8.743400e+04 | 9.008900e+04 | 9.264900e+04 | 9.494900e+04 | 9.695000e+04 | 9.870600e+04 | 1.003180e+05 | 1.019150e+05 | 1.036340e+05 | 1.054740e+05 | 1.074150e+05 | 1.094700e+05 | 1.116270e+05 | 1.138930e+05 | 1.162940e+05 | 1.188160e+05 | 1.214070e+05 | 1.239730e+05 | 1.264540e+05 | 1.288210e+05 | 1.311070e+05 | 1.334180e+05 | 1.358860e+05 | 1.386060e+05 | 1.416220e+05 | 1.448890e+05 | 1.483720e+05 | 1.519690e+05 | 1.556300e+05 | 1.593280e+05 | 1.631010e+05 | 1.669130e+05 | 1.708130e+05 | 1.747760e+05 | 1.788000e+05 | 1.828890e+05 | 1.870450e+05 | 1.912660e+05 | 1.955530e+05 | 1.999100e+05 | 2.043270e+05 |
| 218 | 218 | Suriname | SUR | Population, total | SP.POP.TOTL | 2.899660e+05 | 2.981880e+05 | 3.063280e+05 | 3.145280e+05 | 3.229970e+05 | 3.317930e+05 | 3.411330e+05 | 3.507510e+05 | 3.597330e+05 | 3.668480e+05 | 3.712730e+05 | 3.726230e+05 | 3.713240e+05 | 3.683440e+05 | 3.650990e+05 | 3.626540e+05 | 3.613640e+05 | 3.610430e+05 | 3.614570e+05 | 3.621250e+05 | 3.627770e+05 | 3.633250e+05 | 3.640320e+05 | 3.653000e+05 | 3.676600e+05 | 3.714700e+05 | 3.768670e+05 | 3.836540e+05 | 3.913910e+05 | 3.994920e+05 | 4.074720e+05 | 4.152160e+05 | 4.227630e+05 | 4.300390e+05 | 4.370370e+05 | 4.437240e+05 | 4.500360e+05 | 4.559540e+05 | 4.615600e+05 | 4.670030e+05 | 4.723900e+05 | 4.777400e+05 | 4.830440e+05 | 4.883320e+05 | 4.936300e+05 | 4.989460e+05 | 5.043070e+05 | 5.097050e+05 | 5.151480e+05 | 5.206190e+05 | 5.261030e+05 | 5.315890e+05 | 5.370770e+05 | 5.425400e+05 | 5.479280e+05 | 5.532080e+05 | 5.583680e+05 | 5.634020e+05 |
| 219 | 219 | Slovak Republic | SVK | Population, total | SP.POP.TOTL | 4.068095e+06 | 4.191667e+06 | 4.238188e+06 | 4.282017e+06 | 4.327341e+06 | 4.370983e+06 | 4.411666e+06 | 4.449367e+06 | 4.483915e+06 | 4.518607e+06 | 4.538223e+06 | 4.557449e+06 | 4.596622e+06 | 4.641445e+06 | 4.689623e+06 | 4.739105e+06 | 4.789507e+06 | 4.840501e+06 | 4.890125e+06 | 4.938973e+06 | 4.979815e+06 | 5.016105e+06 | 5.055099e+06 | 5.091971e+06 | 5.127097e+06 | 5.161768e+06 | 5.193838e+06 | 5.222840e+06 | 5.250596e+06 | 5.275942e+06 | 5.299187e+06 | 5.303294e+06 | 5.305016e+06 | 5.325305e+06 | 5.346331e+06 | 5.361999e+06 | 5.373361e+06 | 5.383291e+06 | 5.390516e+06 | 5.396020e+06 | 5.388720e+06 | 5.378867e+06 | 5.376912e+06 | 5.373374e+06 | 5.372280e+06 | 5.372807e+06 | 5.373054e+06 | 5.374622e+06 | 5.379233e+06 | 5.386406e+06 | 5.391428e+06 | 5.398384e+06 | 5.407579e+06 | 5.413393e+06 | 5.418649e+06 | 5.423801e+06 | 5.430798e+06 | 5.439892e+06 |
| 220 | 220 | Slovenia | SVN | Population, total | SP.POP.TOTL | 1.584720e+06 | 1.594131e+06 | 1.603649e+06 | 1.616971e+06 | 1.632114e+06 | 1.649160e+06 | 1.669905e+06 | 1.689528e+06 | 1.704546e+06 | 1.713874e+06 | 1.724891e+06 | 1.738335e+06 | 1.752233e+06 | 1.766697e+06 | 1.776132e+06 | 1.793581e+06 | 1.820249e+06 | 1.842377e+06 | 1.862548e+06 | 1.882599e+06 | 1.901315e+06 | 1.906531e+06 | 1.910334e+06 | 1.922321e+06 | 1.932154e+06 | 1.941641e+06 | 1.965964e+06 | 1.989776e+06 | 1.995196e+06 | 1.996351e+06 | 1.998161e+06 | 1.999429e+06 | 1.996498e+06 | 1.991746e+06 | 1.989443e+06 | 1.989872e+06 | 1.988628e+06 | 1.985956e+06 | 1.981629e+06 | 1.983045e+06 | 1.988925e+06 | 1.992060e+06 | 1.994530e+06 | 1.995733e+06 | 1.997012e+06 | 2.000474e+06 | 2.006868e+06 | 2.018122e+06 | 2.021316e+06 | 2.039669e+06 | 2.048583e+06 | 2.052843e+06 | 2.057159e+06 | 2.059953e+06 | 2.061980e+06 | 2.063531e+06 | 2.065042e+06 | 2.066748e+06 |
| 221 | 221 | Sweden | SWE | Population, total | SP.POP.TOTL | 7.484656e+06 | 7.519998e+06 | 7.561588e+06 | 7.604328e+06 | 7.661354e+06 | 7.733853e+06 | 7.807797e+06 | 7.867931e+06 | 7.912273e+06 | 7.968072e+06 | 8.042801e+06 | 8.098334e+06 | 8.122300e+06 | 8.136312e+06 | 8.159955e+06 | 8.192437e+06 | 8.222286e+06 | 8.251540e+06 | 8.275599e+06 | 8.293678e+06 | 8.310531e+06 | 8.320503e+06 | 8.325263e+06 | 8.329033e+06 | 8.336605e+06 | 8.350386e+06 | 8.369829e+06 | 8.397804e+06 | 8.436489e+06 | 8.492964e+06 | 8.558835e+06 | 8.617375e+06 | 8.668067e+06 | 8.718561e+06 | 8.780745e+06 | 8.826939e+06 | 8.840998e+06 | 8.846062e+06 | 8.850974e+06 | 8.857874e+06 | 8.872109e+06 | 8.895960e+06 | 8.924958e+06 | 8.958229e+06 | 8.993531e+06 | 9.029572e+06 | 9.080505e+06 | 9.148092e+06 | 9.219637e+06 | 9.298515e+06 | 9.378126e+06 | 9.449213e+06 | 9.519374e+06 | 9.600379e+06 | 9.696110e+06 | 9.799186e+06 | 9.923085e+06 | 1.006774e+07 |
| 222 | 222 | Swaziland | SWZ | Population, total | SP.POP.TOTL | 3.491740e+05 | 3.574530e+05 | 3.656360e+05 | 3.738970e+05 | 3.824690e+05 | 3.915460e+05 | 4.011830e+05 | 4.113520e+05 | 4.221400e+05 | 4.335880e+05 | 4.457290e+05 | 4.586050e+05 | 4.722300e+05 | 4.865610e+05 | 5.015120e+05 | 5.170240e+05 | 5.332140e+05 | 5.501180e+05 | 5.675590e+05 | 5.853440e+05 | 6.033720e+05 | 6.212760e+05 | 6.392370e+05 | 6.583200e+05 | 6.799760e+05 | 7.050850e+05 | 7.342430e+05 | 7.667070e+05 | 8.004560e+05 | 8.326820e+05 | 8.613730e+05 | 8.856230e+05 | 9.060340e+05 | 9.240250e+05 | 9.417740e+05 | 9.607920e+05 | 9.817640e+05 | 1.003995e+06 | 1.026009e+06 | 1.045629e+06 | 1.061468e+06 | 1.072927e+06 | 1.080930e+06 | 1.087392e+06 | 1.095053e+06 | 1.105873e+06 | 1.120514e+06 | 1.138434e+06 | 1.158897e+06 | 1.180675e+06 | 1.202843e+06 | 1.225258e+06 | 1.248158e+06 | 1.271456e+06 | 1.295097e+06 | 1.319011e+06 | 1.343098e+06 | 1.367254e+06 |
| 223 | 223 | Sint Maarten (Dutch part) | SXM | Population, total | SP.POP.TOTL | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 3.124000e+04 | 3.108400e+04 | 3.051900e+04 | 3.060000e+04 | 3.077700e+04 | 3.147200e+04 | 3.248800e+04 | 3.301100e+04 | 3.344100e+04 | 3.381100e+04 | 3.396400e+04 | 3.423800e+04 | 3.405600e+04 | 3.343500e+04 | 3.464000e+04 | 3.660700e+04 | 3.768500e+04 | 3.882400e+04 | 3.996900e+04 | 4.110900e+04 |
| 224 | 224 | Seychelles | SYC | Population, total | SP.POP.TOTL | 4.170000e+04 | 4.288900e+04 | 4.404200e+04 | 4.517600e+04 | 4.632200e+04 | 4.750000e+04 | 4.869900e+04 | 4.991100e+04 | 5.113400e+04 | 5.236500e+04 | 5.360000e+04 | 5.469500e+04 | 5.602900e+04 | 5.689200e+04 | 5.793700e+04 | 5.929200e+04 | 6.050400e+04 | 6.178600e+04 | 6.215000e+04 | 6.268600e+04 | 6.326100e+04 | 6.403500e+04 | 6.441300e+04 | 6.433500e+04 | 6.471700e+04 | 6.524400e+04 | 6.565200e+04 | 6.849900e+04 | 6.875500e+04 | 6.916700e+04 | 6.950700e+04 | 7.043900e+04 | 7.076300e+04 | 7.225300e+04 | 7.420500e+04 | 7.530400e+04 | 7.641700e+04 | 7.731900e+04 | 7.884600e+04 | 8.041000e+04 | 8.113100e+04 | 8.120200e+04 | 8.372300e+04 | 8.278100e+04 | 8.247500e+04 | 8.285800e+04 | 8.460000e+04 | 8.503300e+04 | 8.695600e+04 | 8.729800e+04 | 8.977000e+04 | 8.744100e+04 | 8.830300e+04 | 8.994900e+04 | 9.135900e+04 | 9.341900e+04 | 9.467700e+04 | 9.584300e+04 |
| 225 | 225 | Syrian Arab Republic | SYR | Population, total | SP.POP.TOTL | 4.573512e+06 | 4.721896e+06 | 4.875422e+06 | 5.034646e+06 | 5.200336e+06 | 5.373137e+06 | 5.553246e+06 | 5.740710e+06 | 5.935860e+06 | 6.139048e+06 | 6.350541e+06 | 6.570857e+06 | 6.800141e+06 | 7.037851e+06 | 7.283177e+06 | 7.535714e+06 | 7.794662e+06 | 8.060649e+06 | 8.336418e+06 | 8.625690e+06 | 8.930774e+06 | 9.252851e+06 | 9.590227e+06 | 9.938847e+06 | 1.029305e+07 | 1.064863e+07 | 1.100427e+07 | 1.136085e+07 | 1.171907e+07 | 1.208044e+07 | 1.244617e+07 | 1.281522e+07 | 1.318708e+07 | 1.356417e+07 | 1.394970e+07 | 1.434549e+07 | 1.475529e+07 | 1.517746e+07 | 1.560221e+07 | 1.601609e+07 | 1.641085e+07 | 1.676690e+07 | 1.708790e+07 | 1.741527e+07 | 1.780664e+07 | 1.829461e+07 | 1.891498e+07 | 1.963281e+07 | 2.032544e+07 | 2.082489e+07 | 2.101883e+07 | 2.086399e+07 | 2.042070e+07 | 1.980914e+07 | 1.920309e+07 | 1.873499e+07 | 1.843045e+07 | 1.826987e+07 |
| 226 | 226 | Turks and Caicos Islands | TCA | Population, total | SP.POP.TOTL | 5.726000e+03 | 5.763000e+03 | 5.763000e+03 | 5.740000e+03 | 5.710000e+03 | 5.672000e+03 | 5.629000e+03 | 5.590000e+03 | 5.559000e+03 | 5.571000e+03 | 5.633000e+03 | 5.756000e+03 | 5.922000e+03 | 6.126000e+03 | 6.346000e+03 | 6.548000e+03 | 6.723000e+03 | 6.886000e+03 | 7.053000e+03 | 7.264000e+03 | 7.519000e+03 | 7.858000e+03 | 8.244000e+03 | 8.669000e+03 | 9.095000e+03 | 9.506000e+03 | 9.875000e+03 | 1.022400e+04 | 1.058200e+04 | 1.101700e+04 | 1.155200e+04 | 1.220600e+04 | 1.296800e+04 | 1.378900e+04 | 1.459700e+04 | 1.533200e+04 | 1.596600e+04 | 1.652800e+04 | 1.711500e+04 | 1.786400e+04 | 1.887300e+04 | 2.018500e+04 | 2.174200e+04 | 2.341000e+04 | 2.502800e+04 | 2.644800e+04 | 2.764200e+04 | 2.864000e+04 | 2.948100e+04 | 3.024500e+04 | 3.099400e+04 | 3.173100e+04 | 3.243100e+04 | 3.310800e+04 | 3.373900e+04 | 3.433900e+04 | 3.490000e+04 | 3.544600e+04 |
| 227 | 227 | Chad | TCD | Population, total | SP.POP.TOTL | 3.001593e+06 | 3.060355e+06 | 3.121216e+06 | 3.183551e+06 | 3.246505e+06 | 3.309573e+06 | 3.372170e+06 | 3.434811e+06 | 3.499352e+06 | 3.568376e+06 | 3.643549e+06 | 3.726091e+06 | 3.815103e+06 | 3.907632e+06 | 3.999512e+06 | 4.087948e+06 | 4.172230e+06 | 4.253989e+06 | 4.335645e+06 | 4.420716e+06 | 4.512042e+06 | 4.610167e+06 | 4.715197e+06 | 4.829094e+06 | 4.954046e+06 | 5.091535e+06 | 5.243006e+06 | 5.408087e+06 | 5.584339e+06 | 5.768086e+06 | 5.956859e+06 | 6.150081e+06 | 6.349089e+06 | 6.555603e+06 | 6.772133e+06 | 7.000722e+06 | 7.241134e+06 | 7.493251e+06 | 7.759258e+06 | 8.041846e+06 | 8.342559e+06 | 8.663012e+06 | 9.001689e+06 | 9.353201e+06 | 9.710043e+06 | 1.006701e+07 | 1.042160e+07 | 1.077571e+07 | 1.113386e+07 | 1.150279e+07 | 1.188720e+07 | 1.228865e+07 | 1.270514e+07 | 1.313359e+07 | 1.356944e+07 | 1.400941e+07 | 1.445254e+07 | 1.489999e+07 |
| 228 | 228 | East Asia & Pacific (IDA & IBRD countries) | TEA | Population, total | SP.POP.TOTL | 8.825218e+08 | 8.818609e+08 | 8.935633e+08 | 9.165642e+08 | 9.391832e+08 | 9.627654e+08 | 9.898738e+08 | 1.016050e+09 | 1.043167e+09 | 1.071971e+09 | 1.101679e+09 | 1.132025e+09 | 1.160630e+09 | 1.188295e+09 | 1.214467e+09 | 1.238240e+09 | 1.260191e+09 | 1.280580e+09 | 1.300959e+09 | 1.321650e+09 | 1.342001e+09 | 1.363066e+09 | 1.386478e+09 | 1.410013e+09 | 1.432476e+09 | 1.455657e+09 | 1.480374e+09 | 1.506584e+09 | 1.533102e+09 | 1.558955e+09 | 1.584202e+09 | 1.608360e+09 | 1.630963e+09 | 1.652721e+09 | 1.674319e+09 | 1.695484e+09 | 1.716273e+09 | 1.736829e+09 | 1.756647e+09 | 1.775314e+09 | 1.792989e+09 | 1.809863e+09 | 1.825997e+09 | 1.841494e+09 | 1.856578e+09 | 1.871548e+09 | 1.886076e+09 | 1.900088e+09 | 1.913992e+09 | 1.927810e+09 | 1.941605e+09 | 1.955547e+09 | 1.969763e+09 | 1.984153e+09 | 1.998686e+09 | 2.013133e+09 | 2.027896e+09 | 2.042783e+09 |
| 229 | 229 | Europe & Central Asia (IDA & IBRD countries) | TEC | Population, total | SP.POP.TOTL | 3.087254e+08 | 3.133810e+08 | 3.180703e+08 | 3.228323e+08 | 3.276025e+08 | 3.321858e+08 | 3.360372e+08 | 3.400269e+08 | 3.439308e+08 | 3.477105e+08 | 3.513639e+08 | 3.550184e+08 | 3.588178e+08 | 3.626250e+08 | 3.664685e+08 | 3.703454e+08 | 3.743810e+08 | 3.783353e+08 | 3.822158e+08 | 3.860706e+08 | 3.900682e+08 | 3.941324e+08 | 3.980332e+08 | 4.019226e+08 | 4.060459e+08 | 4.101513e+08 | 4.141865e+08 | 4.181647e+08 | 4.219711e+08 | 4.255889e+08 | 4.283182e+08 | 4.301533e+08 | 4.318447e+08 | 4.333670e+08 | 4.341112e+08 | 4.346486e+08 | 4.349095e+08 | 4.354226e+08 | 4.356625e+08 | 4.357322e+08 | 4.353426e+08 | 4.351342e+08 | 4.348047e+08 | 4.349250e+08 | 4.352472e+08 | 4.356349e+08 | 4.361526e+08 | 4.368143e+08 | 4.378649e+08 | 4.396247e+08 | 4.415138e+08 | 4.435858e+08 | 4.457704e+08 | 4.481671e+08 | 4.505217e+08 | 4.529608e+08 | 4.553794e+08 | 4.576477e+08 |
| 230 | 230 | Togo | TGO | Population, total | SP.POP.TOTL | 1.580513e+06 | 1.597526e+06 | 1.612755e+06 | 1.631764e+06 | 1.662073e+06 | 1.708630e+06 | 1.774029e+06 | 1.855442e+06 | 1.945780e+06 | 2.034907e+06 | 2.115522e+06 | 2.185662e+06 | 2.247582e+06 | 2.303345e+06 | 2.356622e+06 | 2.410446e+06 | 2.464455e+06 | 2.518566e+06 | 2.576469e+06 | 2.642846e+06 | 2.720839e+06 | 2.812039e+06 | 2.915066e+06 | 3.026238e+06 | 3.140237e+06 | 3.252994e+06 | 3.364020e+06 | 3.474080e+06 | 3.581928e+06 | 3.686373e+06 | 3.786940e+06 | 3.882271e+06 | 3.973327e+06 | 4.064926e+06 | 4.163642e+06 | 4.274024e+06 | 4.398238e+06 | 4.534551e+06 | 4.679023e+06 | 4.825704e+06 | 4.970367e+06 | 5.111770e+06 | 5.251472e+06 | 5.391401e+06 | 5.534598e+06 | 5.683268e+06 | 5.837792e+06 | 5.997385e+06 | 6.161796e+06 | 6.330472e+06 | 6.502952e+06 | 6.679282e+06 | 6.859482e+06 | 7.042948e+06 | 7.228915e+06 | 7.416802e+06 | 7.606374e+06 | 7.797694e+06 |
| 231 | 231 | Thailand | THA | Population, total | SP.POP.TOTL | 2.739718e+07 | 2.822420e+07 | 2.908103e+07 | 2.996704e+07 | 3.088133e+07 | 3.182280e+07 | 3.278910e+07 | 3.377850e+07 | 3.479094e+07 | 3.582680e+07 | 3.688491e+07 | 3.796492e+07 | 3.906199e+07 | 4.016497e+07 | 4.125954e+07 | 4.233495e+07 | 4.338684e+07 | 4.441601e+07 | 4.542344e+07 | 4.641231e+07 | 4.738532e+07 | 4.833750e+07 | 4.926756e+07 | 5.018620e+07 | 5.110808e+07 | 5.204147e+07 | 5.299647e+07 | 5.396441e+07 | 5.491233e+07 | 5.579511e+07 | 5.658282e+07 | 5.725840e+07 | 5.783788e+07 | 5.836489e+07 | 5.890167e+07 | 5.949179e+07 | 6.015147e+07 | 6.086351e+07 | 6.159728e+07 | 6.230665e+07 | 6.295802e+07 | 6.354332e+07 | 6.407316e+07 | 6.455495e+07 | 6.500223e+07 | 6.542547e+07 | 6.582416e+07 | 6.619562e+07 | 6.654576e+07 | 6.688187e+07 | 6.720881e+07 | 6.753013e+07 | 6.784398e+07 | 6.814306e+07 | 6.841677e+07 | 6.865760e+07 | 6.886351e+07 | 6.903751e+07 |
| 232 | 232 | Tajikistan | TJK | Population, total | SP.POP.TOTL | 2.087038e+06 | 2.159123e+06 | 2.236559e+06 | 2.318234e+06 | 2.402455e+06 | 2.487953e+06 | 2.574478e+06 | 2.662230e+06 | 2.750894e+06 | 2.840228e+06 | 2.930079e+06 | 3.020391e+06 | 3.111264e+06 | 3.203019e+06 | 3.296095e+06 | 3.390935e+06 | 3.487644e+06 | 3.586499e+06 | 3.688385e+06 | 3.794420e+06 | 3.905413e+06 | 4.020778e+06 | 4.140258e+06 | 4.265247e+06 | 4.397525e+06 | 4.537789e+06 | 4.687283e+06 | 4.843951e+06 | 5.001110e+06 | 5.149803e+06 | 5.283728e+06 | 5.400714e+06 | 5.502976e+06 | 5.594114e+06 | 5.679832e+06 | 5.764712e+06 | 5.849540e+06 | 5.934282e+06 | 6.021691e+06 | 6.114886e+06 | 6.216205e+06 | 6.327125e+06 | 6.447688e+06 | 6.576877e+06 | 6.712841e+06 | 6.854176e+06 | 7.000557e+06 | 7.152385e+06 | 7.309728e+06 | 7.472819e+06 | 7.641630e+06 | 7.815949e+06 | 7.995062e+06 | 8.177809e+06 | 8.362745e+06 | 8.548651e+06 | 8.734951e+06 | 8.921343e+06 |
| 233 | 233 | Turkmenistan | TKM | Population, total | SP.POP.TOTL | 1.603258e+06 | 1.658362e+06 | 1.715408e+06 | 1.773853e+06 | 1.833063e+06 | 1.892599e+06 | 1.952141e+06 | 2.011763e+06 | 2.071789e+06 | 2.132799e+06 | 2.195173e+06 | 2.258964e+06 | 2.324013e+06 | 2.390213e+06 | 2.457382e+06 | 2.525361e+06 | 2.594311e+06 | 2.664257e+06 | 2.734896e+06 | 2.805818e+06 | 2.876808e+06 | 2.947779e+06 | 3.019066e+06 | 3.091511e+06 | 3.166221e+06 | 3.244018e+06 | 3.324456e+06 | 3.407319e+06 | 3.493894e+06 | 3.585867e+06 | 3.683966e+06 | 3.789185e+06 | 3.899843e+06 | 4.010789e+06 | 4.115099e+06 | 4.207840e+06 | 4.287344e+06 | 4.355114e+06 | 4.413477e+06 | 4.466132e+06 | 4.516131e+06 | 4.564080e+06 | 4.610002e+06 | 4.655741e+06 | 4.703398e+06 | 4.754641e+06 | 4.810105e+06 | 4.870137e+06 | 4.935762e+06 | 5.007950e+06 | 5.087210e+06 | 5.174061e+06 | 5.267839e+06 | 5.366277e+06 | 5.466241e+06 | 5.565284e+06 | 5.662544e+06 | 5.758075e+06 |
| 234 | 234 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | Population, total | SP.POP.TOTL | 2.103576e+08 | 2.162859e+08 | 2.223965e+08 | 2.286630e+08 | 2.350485e+08 | 2.415251e+08 | 2.480822e+08 | 2.547238e+08 | 2.614547e+08 | 2.682854e+08 | 2.752228e+08 | 2.822654e+08 | 2.894068e+08 | 2.966433e+08 | 3.039702e+08 | 3.113836e+08 | 3.188764e+08 | 3.264460e+08 | 3.340992e+08 | 3.418457e+08 | 3.496894e+08 | 3.576329e+08 | 3.656630e+08 | 3.737476e+08 | 3.818444e+08 | 3.899222e+08 | 3.979615e+08 | 4.059664e+08 | 4.139572e+08 | 4.219663e+08 | 4.300141e+08 | 4.381025e+08 | 4.462115e+08 | 4.543128e+08 | 4.623683e+08 | 4.703475e+08 | 4.782471e+08 | 4.860670e+08 | 4.937853e+08 | 5.013765e+08 | 5.088267e+08 | 5.161201e+08 | 5.232708e+08 | 5.303320e+08 | 5.373774e+08 | 5.444598e+08 | 5.515955e+08 | 5.587681e+08 | 5.659562e+08 | 5.731253e+08 | 5.802468e+08 | 5.873151e+08 | 5.943307e+08 | 6.012772e+08 | 6.081360e+08 | 6.148920e+08 | 6.215349e+08 | 6.280598e+08 |
| 235 | 235 | Timor-Leste | TLS | Population, total | SP.POP.TOTL | 4.999500e+05 | 5.088450e+05 | 5.181070e+05 | 5.277490e+05 | 5.377860e+05 | 5.482180e+05 | 5.586760e+05 | 5.690310e+05 | 5.798070e+05 | 5.917390e+05 | 6.051250e+05 | 6.209450e+05 | 6.384990e+05 | 6.544370e+05 | 6.642230e+05 | 6.649840e+05 | 6.549470e+05 | 6.360960e+05 | 6.138570e+05 | 5.958720e+05 | 5.875630e+05 | 5.910050e+05 | 6.044300e+05 | 6.246480e+05 | 6.466880e+05 | 6.669450e+05 | 6.841840e+05 | 6.995220e+05 | 7.144740e+05 | 7.314440e+05 | 7.519330e+05 | 7.770110e+05 | 8.054350e+05 | 8.336110e+05 | 8.566840e+05 | 8.714470e+05 | 8.759160e+05 | 8.719940e+05 | 8.651940e+05 | 8.632690e+05 | 8.716070e+05 | 8.925310e+05 | 9.238250e+05 | 9.608520e+05 | 9.966980e+05 | 1.026484e+06 | 1.048621e+06 | 1.064973e+06 | 1.078110e+06 | 1.092021e+06 | 1.109591e+06 | 1.131523e+06 | 1.156760e+06 | 1.184366e+06 | 1.212814e+06 | 1.240977e+06 | 1.268671e+06 | 1.296311e+06 |
| 236 | 236 | Middle East & North Africa (IDA & IBRD countries) | TMN | Population, total | SP.POP.TOTL | 9.783777e+07 | 1.004585e+08 | 1.031472e+08 | 1.059144e+08 | 1.087749e+08 | 1.117382e+08 | 1.148161e+08 | 1.180041e+08 | 1.212763e+08 | 1.245964e+08 | 1.279425e+08 | 1.313096e+08 | 1.347195e+08 | 1.382111e+08 | 1.418378e+08 | 1.456425e+08 | 1.496290e+08 | 1.537983e+08 | 1.581851e+08 | 1.628299e+08 | 1.677559e+08 | 1.729675e+08 | 1.784403e+08 | 1.841298e+08 | 1.899742e+08 | 1.959177e+08 | 2.019504e+08 | 2.080513e+08 | 2.141407e+08 | 2.201218e+08 | 2.259256e+08 | 2.315134e+08 | 2.368991e+08 | 2.421328e+08 | 2.472944e+08 | 2.524436e+08 | 2.576021e+08 | 2.627574e+08 | 2.678957e+08 | 2.729916e+08 | 2.780331e+08 | 2.830183e+08 | 2.879756e+08 | 2.929596e+08 | 2.980417e+08 | 3.032748e+08 | 3.086730e+08 | 3.142267e+08 | 3.199345e+08 | 3.257867e+08 | 3.317705e+08 | 3.378950e+08 | 3.441488e+08 | 3.504715e+08 | 3.567833e+08 | 3.630272e+08 | 3.691675e+08 | 3.752170e+08 |
| 237 | 237 | Tonga | TON | Population, total | SP.POP.TOTL | 6.160100e+04 | 6.374500e+04 | 6.625900e+04 | 6.900500e+04 | 7.175700e+04 | 7.436200e+04 | 7.677900e+04 | 7.905200e+04 | 8.109700e+04 | 8.287700e+04 | 8.436900e+04 | 8.551800e+04 | 8.634700e+04 | 8.698800e+04 | 8.760900e+04 | 8.834800e+04 | 8.925400e+04 | 9.029500e+04 | 9.136400e+04 | 9.230000e+04 | 9.300700e+04 | 9.345300e+04 | 9.368100e+04 | 9.377400e+04 | 9.384200e+04 | 9.395300e+04 | 9.414500e+04 | 9.438400e+04 | 9.466700e+04 | 9.492900e+04 | 9.515300e+04 | 9.533300e+04 | 9.549600e+04 | 9.564400e+04 | 9.583300e+04 | 9.607600e+04 | 9.636900e+04 | 9.672500e+04 | 9.713500e+04 | 9.759100e+04 | 9.808200e+04 | 9.861100e+04 | 9.918400e+04 | 9.978900e+04 | 1.004060e+05 | 1.010410e+05 | 1.016890e+05 | 1.023570e+05 | 1.030050e+05 | 1.036040e+05 | 1.041370e+05 | 1.045770e+05 | 1.049510e+05 | 1.053280e+05 | 1.057820e+05 | 1.063640e+05 | 1.071220e+05 | 1.080200e+05 |
| 238 | 238 | South Asia (IDA & IBRD) | TSA | Population, total | SP.POP.TOTL | 5.718357e+08 | 5.838941e+08 | 5.964139e+08 | 6.093918e+08 | 6.228226e+08 | 6.367018e+08 | 6.510364e+08 | 6.658267e+08 | 6.810549e+08 | 6.966972e+08 | 7.127409e+08 | 7.291736e+08 | 7.460124e+08 | 7.633106e+08 | 7.811406e+08 | 7.995533e+08 | 8.185604e+08 | 8.381423e+08 | 8.582779e+08 | 8.789330e+08 | 9.000765e+08 | 9.216969e+08 | 9.437816e+08 | 9.662936e+08 | 9.891890e+08 | 1.012430e+09 | 1.035983e+09 | 1.059829e+09 | 1.083963e+09 | 1.108386e+09 | 1.133089e+09 | 1.158058e+09 | 1.183254e+09 | 1.208613e+09 | 1.234059e+09 | 1.259531e+09 | 1.284978e+09 | 1.310388e+09 | 1.335778e+09 | 1.361185e+09 | 1.386626e+09 | 1.412104e+09 | 1.437568e+09 | 1.462907e+09 | 1.487975e+09 | 1.512671e+09 | 1.536944e+09 | 1.560819e+09 | 1.584359e+09 | 1.607664e+09 | 1.630807e+09 | 1.653799e+09 | 1.676615e+09 | 1.699310e+09 | 1.721848e+09 | 1.744200e+09 | 1.766394e+09 | 1.788389e+09 |
| 239 | 239 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | Population, total | SP.POP.TOTL | 2.285860e+08 | 2.340086e+08 | 2.396471e+08 | 2.455033e+08 | 2.515764e+08 | 2.578686e+08 | 2.643862e+08 | 2.711393e+08 | 2.781390e+08 | 2.853980e+08 | 2.929291e+08 | 3.007370e+08 | 3.088315e+08 | 3.172341e+08 | 3.259720e+08 | 3.350649e+08 | 3.445223e+08 | 3.543432e+08 | 3.645158e+08 | 3.750350e+08 | 3.858853e+08 | 3.970656e+08 | 4.085770e+08 | 4.204135e+08 | 4.325734e+08 | 4.450481e+08 | 4.578354e+08 | 4.709390e+08 | 4.843577e+08 | 4.981028e+08 | 5.121771e+08 | 5.265990e+08 | 5.413657e+08 | 5.564519e+08 | 5.718286e+08 | 5.874696e+08 | 6.033856e+08 | 6.196080e+08 | 6.361826e+08 | 6.531799e+08 | 6.706496e+08 | 6.886160e+08 | 7.070998e+08 | 7.261406e+08 | 7.457881e+08 | 7.660805e+08 | 7.870358e+08 | 8.086602e+08 | 8.309656e+08 | 8.539537e+08 | 8.776284e+08 | 9.019899e+08 | 9.270399e+08 | 9.527341e+08 | 9.790179e+08 | 1.005850e+09 | 1.033213e+09 | 1.061108e+09 |
| 240 | 240 | Trinidad and Tobago | TTO | Population, total | SP.POP.TOTL | 8.484790e+05 | 8.653600e+05 | 8.800230e+05 | 8.925690e+05 | 9.032750e+05 | 9.124170e+05 | 9.199030e+05 | 9.259090e+05 | 9.314680e+05 | 9.378480e+05 | 9.459930e+05 | 9.563660e+05 | 9.687410e+05 | 9.825920e+05 | 9.970530e+05 | 1.011490e+06 | 1.025658e+06 | 1.039761e+06 | 1.054116e+06 | 1.069202e+06 | 1.085308e+06 | 1.102556e+06 | 1.120611e+06 | 1.138676e+06 | 1.155695e+06 | 1.170928e+06 | 1.184051e+06 | 1.195247e+06 | 1.204893e+06 | 1.213624e+06 | 1.221900e+06 | 1.229907e+06 | 1.237487e+06 | 1.244407e+06 | 1.250318e+06 | 1.255001e+06 | 1.258364e+06 | 1.260678e+06 | 1.262542e+06 | 1.264775e+06 | 1.267984e+06 | 1.272380e+06 | 1.277837e+06 | 1.284052e+06 | 1.290535e+06 | 1.296934e+06 | 1.303144e+06 | 1.309260e+06 | 1.315372e+06 | 1.321618e+06 | 1.328100e+06 | 1.334788e+06 | 1.341588e+06 | 1.348248e+06 | 1.354493e+06 | 1.360092e+06 | 1.364962e+06 | 1.369125e+06 |
| 241 | 241 | Tunisia | TUN | Population, total | SP.POP.TOTL | 4.176266e+06 | 4.235937e+06 | 4.303131e+06 | 4.377637e+06 | 4.458611e+06 | 4.545339e+06 | 4.638275e+06 | 4.737627e+06 | 4.842167e+06 | 4.950153e+06 | 5.060397e+06 | 5.172691e+06 | 5.287543e+06 | 5.405355e+06 | 5.526764e+06 | 5.652476e+06 | 5.781796e+06 | 5.915006e+06 | 6.054911e+06 | 6.205212e+06 | 6.368167e+06 | 6.545024e+06 | 6.733961e+06 | 6.930387e+06 | 7.127941e+06 | 7.321876e+06 | 7.509756e+06 | 7.692254e+06 | 7.871459e+06 | 8.050932e+06 | 8.232797e+06 | 8.417684e+06 | 8.603225e+06 | 8.784888e+06 | 8.956596e+06 | 9.113975e+06 | 9.256037e+06 | 9.384152e+06 | 9.499395e+06 | 9.603742e+06 | 9.699197e+06 | 9.785701e+06 | 9.864326e+06 | 9.939678e+06 | 1.001760e+07 | 1.010248e+07 | 1.019614e+07 | 1.029809e+07 | 1.040734e+07 | 1.052183e+07 | 1.063993e+07 | 1.076147e+07 | 1.088667e+07 | 1.101456e+07 | 1.114391e+07 | 1.127366e+07 | 1.140325e+07 | 1.153213e+07 |
| 242 | 242 | Turkey | TUR | Population, total | SP.POP.TOTL | 2.747233e+07 | 2.814689e+07 | 2.883280e+07 | 2.953134e+07 | 3.024423e+07 | 3.097296e+07 | 3.171748e+07 | 3.247796e+07 | 3.325643e+07 | 3.405536e+07 | 3.487627e+07 | 3.572057e+07 | 3.658722e+07 | 3.747230e+07 | 3.837024e+07 | 3.927721e+07 | 4.018951e+07 | 4.110825e+07 | 4.203994e+07 | 4.299399e+07 | 4.397592e+07 | 4.498836e+07 | 4.602536e+07 | 4.707342e+07 | 4.811410e+07 | 4.913388e+07 | 5.012849e+07 | 5.110088e+07 | 5.205370e+07 | 5.299243e+07 | 5.392170e+07 | 5.484053e+07 | 5.574888e+07 | 5.665373e+07 | 5.756413e+07 | 5.848638e+07 | 5.942321e+07 | 6.037250e+07 | 6.132959e+07 | 6.228733e+07 | 6.324012e+07 | 6.419147e+07 | 6.514305e+07 | 6.608580e+07 | 6.700786e+07 | 6.790341e+07 | 6.876340e+07 | 6.959728e+07 | 7.044003e+07 | 7.133918e+07 | 7.232691e+07 | 7.340946e+07 | 7.456987e+07 | 7.578733e+07 | 7.703063e+07 | 7.827147e+07 | 7.951243e+07 | 8.074502e+07 |
| 243 | 243 | Tuvalu | TUV | Population, total | SP.POP.TOTL | 6.104000e+03 | 6.246000e+03 | 6.389000e+03 | 6.538000e+03 | 6.684000e+03 | 6.815000e+03 | 6.938000e+03 | 7.040000e+03 | 7.133000e+03 | 7.214000e+03 | 7.303000e+03 | 7.381000e+03 | 7.458000e+03 | 7.537000e+03 | 7.616000e+03 | 7.677000e+03 | 7.749000e+03 | 7.816000e+03 | 7.888000e+03 | 7.962000e+03 | 8.052000e+03 | 8.154000e+03 | 8.284000e+03 | 8.413000e+03 | 8.530000e+03 | 8.650000e+03 | 8.747000e+03 | 8.820000e+03 | 8.883000e+03 | 8.947000e+03 | 9.003000e+03 | 9.053000e+03 | 9.109000e+03 | 9.156000e+03 | 9.190000e+03 | 9.230000e+03 | 9.256000e+03 | 9.277000e+03 | 9.306000e+03 | 9.345000e+03 | 9.420000e+03 | 9.512000e+03 | 9.635000e+03 | 9.767000e+03 | 9.894000e+03 | 1.002700e+04 | 1.013700e+04 | 1.024300e+04 | 1.034000e+04 | 1.044100e+04 | 1.053100e+04 | 1.062800e+04 | 1.072500e+04 | 1.081900e+04 | 1.090800e+04 | 1.100100e+04 | 1.109700e+04 | 1.119200e+04 |
| 244 | 244 | Tanzania | TZA | Population, total | SP.POP.TOTL | 1.007451e+07 | 1.037340e+07 | 1.068391e+07 | 1.100590e+07 | 1.133910e+07 | 1.168353e+07 | 1.203890e+07 | 1.240604e+07 | 1.278749e+07 | 1.318656e+07 | 1.360553e+07 | 1.404582e+07 | 1.450662e+07 | 1.498513e+07 | 1.547729e+07 | 1.598030e+07 | 1.649330e+07 | 1.701767e+07 | 1.755549e+07 | 1.810988e+07 | 1.868316e+07 | 1.927711e+07 | 1.989155e+07 | 2.052467e+07 | 2.117360e+07 | 2.183700e+07 | 2.251124e+07 | 2.319853e+07 | 2.390995e+07 | 2.466058e+07 | 2.545960e+07 | 2.631501e+07 | 2.721962e+07 | 2.814933e+07 | 2.907062e+07 | 2.996078e+07 | 3.081185e+07 | 3.163525e+07 | 3.245171e+07 | 3.329154e+07 | 3.417804e+07 | 3.511702e+07 | 3.610581e+07 | 3.714907e+07 | 3.824998e+07 | 3.941054e+07 | 4.063495e+07 | 4.192372e+07 | 4.327014e+07 | 4.466423e+07 | 4.609859e+07 | 4.757090e+07 | 4.908300e+07 | 5.063660e+07 | 5.223487e+07 | 5.387996e+07 | 5.557220e+07 | 5.731002e+07 |
| 245 | 245 | Uganda | UGA | Population, total | SP.POP.TOTL | 6.788214e+06 | 7.006633e+06 | 7.240174e+06 | 7.487429e+06 | 7.746198e+06 | 8.014401e+06 | 8.292776e+06 | 8.580676e+06 | 8.872920e+06 | 9.162833e+06 | 9.446064e+06 | 9.720399e+06 | 9.988380e+06 | 1.025643e+07 | 1.053372e+07 | 1.082715e+07 | 1.113983e+07 | 1.147087e+07 | 1.181831e+07 | 1.217854e+07 | 1.254954e+07 | 1.293021e+07 | 1.332333e+07 | 1.373527e+07 | 1.417447e+07 | 1.464662e+07 | 1.515452e+07 | 1.569541e+07 | 1.626253e+07 | 1.684609e+07 | 1.743891e+07 | 1.804044e+07 | 1.865289e+07 | 1.927542e+07 | 1.990763e+07 | 2.055029e+07 | 2.120212e+07 | 2.186593e+07 | 2.255179e+07 | 2.327300e+07 | 2.403927e+07 | 2.485489e+07 | 2.571805e+07 | 2.662482e+07 | 2.756844e+07 | 2.854394e+07 | 2.955066e+07 | 3.059049e+07 | 3.166390e+07 | 3.277190e+07 | 3.391513e+07 | 3.509365e+07 | 3.630680e+07 | 3.755373e+07 | 3.883334e+07 | 4.014487e+07 | 4.148796e+07 | 4.286296e+07 |
| 246 | 246 | Ukraine | UKR | Population, total | SP.POP.TOTL | 4.266215e+07 | 4.320364e+07 | 4.374947e+07 | 4.428590e+07 | 4.479433e+07 | 4.526194e+07 | 4.568231e+07 | 4.606045e+07 | 4.640900e+07 | 4.674667e+07 | 4.708676e+07 | 4.743380e+07 | 4.778301e+07 | 4.812717e+07 | 4.845512e+07 | 4.875899e+07 | 4.903646e+07 | 4.929090e+07 | 4.952688e+07 | 4.975126e+07 | 4.996881e+07 | 5.022100e+07 | 5.038400e+07 | 5.056400e+07 | 5.075400e+07 | 5.091700e+07 | 5.109700e+07 | 5.129300e+07 | 5.152100e+07 | 5.177300e+07 | 5.189200e+07 | 5.200047e+07 | 5.215027e+07 | 5.217921e+07 | 5.192104e+07 | 5.151230e+07 | 5.105719e+07 | 5.059410e+07 | 5.014394e+07 | 4.967335e+07 | 4.917585e+07 | 4.868386e+07 | 4.820250e+07 | 4.781295e+07 | 4.745160e+07 | 4.710515e+07 | 4.678775e+07 | 4.650935e+07 | 4.625820e+07 | 4.605330e+07 | 4.587070e+07 | 4.570610e+07 | 4.559330e+07 | 4.548960e+07 | 4.527195e+07 | 4.515403e+07 | 4.500464e+07 | 4.483116e+07 |
| 247 | 247 | Upper middle income | UMC | Population, total | SP.POP.TOTL | 1.150569e+09 | 1.154967e+09 | 1.171821e+09 | 1.200060e+09 | 1.227974e+09 | 1.256856e+09 | 1.288678e+09 | 1.319720e+09 | 1.351688e+09 | 1.385328e+09 | 1.419934e+09 | 1.455203e+09 | 1.488762e+09 | 1.521452e+09 | 1.552810e+09 | 1.581988e+09 | 1.609704e+09 | 1.635986e+09 | 1.662349e+09 | 1.689045e+09 | 1.715481e+09 | 1.742621e+09 | 1.771982e+09 | 1.801397e+09 | 1.829978e+09 | 1.859330e+09 | 1.890186e+09 | 1.922510e+09 | 1.954965e+09 | 1.986535e+09 | 2.016621e+09 | 2.045005e+09 | 2.071319e+09 | 2.096571e+09 | 2.121534e+09 | 2.146162e+09 | 2.170439e+09 | 2.194550e+09 | 2.217937e+09 | 2.240000e+09 | 2.260806e+09 | 2.280191e+09 | 2.298542e+09 | 2.316548e+09 | 2.334314e+09 | 2.352105e+09 | 2.369651e+09 | 2.386825e+09 | 2.404283e+09 | 2.422394e+09 | 2.440543e+09 | 2.459176e+09 | 2.478492e+09 | 2.498184e+09 | 2.517980e+09 | 2.537437e+09 | 2.556922e+09 | 2.576203e+09 |
| 248 | 248 | Uruguay | URY | Population, total | SP.POP.TOTL | 2.538651e+06 | 2.571690e+06 | 2.603887e+06 | 2.635129e+06 | 2.665390e+06 | 2.694537e+06 | 2.722877e+06 | 2.750093e+06 | 2.774774e+06 | 2.795046e+06 | 2.809803e+06 | 2.818270e+06 | 2.821439e+06 | 2.822081e+06 | 2.824069e+06 | 2.830172e+06 | 2.841429e+06 | 2.857105e+06 | 2.875966e+06 | 2.896023e+06 | 2.915778e+06 | 2.935036e+06 | 2.954282e+06 | 2.973463e+06 | 2.992645e+06 | 3.011908e+06 | 3.031038e+06 | 3.049966e+06 | 3.069099e+06 | 3.088984e+06 | 3.109989e+06 | 3.132050e+06 | 3.154855e+06 | 3.178155e+06 | 3.201607e+06 | 3.224804e+06 | 3.248035e+06 | 3.271010e+06 | 3.292138e+06 | 3.309318e+06 | 3.321245e+06 | 3.327103e+06 | 3.327773e+06 | 3.325637e+06 | 3.324096e+06 | 3.325612e+06 | 3.331043e+06 | 3.339741e+06 | 3.350824e+06 | 3.362755e+06 | 3.374415e+06 | 3.385624e+06 | 3.396777e+06 | 3.408005e+06 | 3.419546e+06 | 3.431552e+06 | 3.444006e+06 | 3.456750e+06 |
| 249 | 249 | United States | USA | Population, total | SP.POP.TOTL | 1.806710e+08 | 1.836910e+08 | 1.865380e+08 | 1.892420e+08 | 1.918890e+08 | 1.943030e+08 | 1.965600e+08 | 1.987120e+08 | 2.007060e+08 | 2.026770e+08 | 2.050520e+08 | 2.076610e+08 | 2.098960e+08 | 2.119090e+08 | 2.138540e+08 | 2.159730e+08 | 2.180350e+08 | 2.202390e+08 | 2.225850e+08 | 2.250550e+08 | 2.272250e+08 | 2.294660e+08 | 2.316640e+08 | 2.337920e+08 | 2.358250e+08 | 2.379240e+08 | 2.401330e+08 | 2.422890e+08 | 2.444990e+08 | 2.468190e+08 | 2.496230e+08 | 2.529810e+08 | 2.565140e+08 | 2.599190e+08 | 2.631260e+08 | 2.662780e+08 | 2.693940e+08 | 2.726570e+08 | 2.758540e+08 | 2.790400e+08 | 2.821624e+08 | 2.849690e+08 | 2.876252e+08 | 2.901079e+08 | 2.928053e+08 | 2.955166e+08 | 2.983799e+08 | 3.012312e+08 | 3.040940e+08 | 3.067715e+08 | 3.093384e+08 | 3.116443e+08 | 3.139933e+08 | 3.162345e+08 | 3.186225e+08 | 3.210398e+08 | 3.234059e+08 | 3.257192e+08 |
| 250 | 250 | Uzbekistan | UZB | Population, total | SP.POP.TOTL | 8.549493e+06 | 8.837349e+06 | 9.138097e+06 | 9.454250e+06 | 9.788986e+06 | 1.014374e+07 | 1.052088e+07 | 1.091745e+07 | 1.132310e+07 | 1.172385e+07 | 1.211003e+07 | 1.247706e+07 | 1.282862e+07 | 1.317359e+07 | 1.352509e+07 | 1.389264e+07 | 1.427912e+07 | 1.468146e+07 | 1.509601e+07 | 1.551686e+07 | 1.593974e+07 | 1.636356e+07 | 1.679007e+07 | 1.722121e+07 | 1.765998e+07 | 1.810830e+07 | 1.856548e+07 | 1.902988e+07 | 1.950122e+07 | 1.997913e+07 | 2.051000e+07 | 2.095200e+07 | 2.144900e+07 | 2.194200e+07 | 2.237700e+07 | 2.278500e+07 | 2.322500e+07 | 2.366700e+07 | 2.405100e+07 | 2.431165e+07 | 2.465040e+07 | 2.496445e+07 | 2.527185e+07 | 2.556765e+07 | 2.586435e+07 | 2.616700e+07 | 2.648825e+07 | 2.686800e+07 | 2.730280e+07 | 2.776740e+07 | 2.856240e+07 | 2.933940e+07 | 2.977450e+07 | 3.024320e+07 | 3.075770e+07 | 3.129890e+07 | 3.184790e+07 | 3.238720e+07 |
| 251 | 251 | St. Vincent and the Grenadines | VCT | Population, total | SP.POP.TOTL | 8.094900e+04 | 8.214200e+04 | 8.320600e+04 | 8.416700e+04 | 8.506900e+04 | 8.597000e+04 | 8.685700e+04 | 8.773600e+04 | 8.861300e+04 | 8.951600e+04 | 9.045200e+04 | 9.144000e+04 | 9.246300e+04 | 9.351700e+04 | 9.456800e+04 | 9.561100e+04 | 9.664100e+04 | 9.764900e+04 | 9.863300e+04 | 9.959000e+04 | 1.005050e+05 | 1.013790e+05 | 1.022040e+05 | 1.029840e+05 | 1.037420e+05 | 1.044770e+05 | 1.051980e+05 | 1.058960e+05 | 1.065360e+05 | 1.070840e+05 | 1.075050e+05 | 1.078140e+05 | 1.080030e+05 | 1.080920e+05 | 1.081290e+05 | 1.081220e+05 | 1.080750e+05 | 1.080040e+05 | 1.079220e+05 | 1.078800e+05 | 1.078980e+05 | 1.079880e+05 | 1.081460e+05 | 1.083500e+05 | 1.085590e+05 | 1.087440e+05 | 1.089070e+05 | 1.090470e+05 | 1.091650e+05 | 1.092530e+05 | 1.093150e+05 | 1.093410e+05 | 1.093280e+05 | 1.093200e+05 | 1.093570e+05 | 1.094550e+05 | 1.096430e+05 | 1.098970e+05 |
| 252 | 252 | Venezuela, RB | VEN | Population, total | SP.POP.TOTL | 8.146847e+06 | 8.461685e+06 | 8.790589e+06 | 9.130349e+06 | 9.476252e+06 | 9.824692e+06 | 1.017514e+07 | 1.052805e+07 | 1.088200e+07 | 1.123549e+07 | 1.158776e+07 | 1.193780e+07 | 1.228644e+07 | 1.263697e+07 | 1.299402e+07 | 1.336099e+07 | 1.373914e+07 | 1.412779e+07 | 1.452593e+07 | 1.493174e+07 | 1.534392e+07 | 1.576180e+07 | 1.618589e+07 | 1.661735e+07 | 1.705778e+07 | 1.750806e+07 | 1.796855e+07 | 1.843779e+07 | 1.891253e+07 | 1.938834e+07 | 1.986196e+07 | 2.033208e+07 | 2.079908e+07 | 2.126344e+07 | 2.172635e+07 | 2.218867e+07 | 2.265010e+07 | 2.311018e+07 | 2.356945e+07 | 2.402869e+07 | 2.448834e+07 | 2.494848e+07 | 2.540870e+07 | 2.586852e+07 | 2.632722e+07 | 2.678416e+07 | 2.723917e+07 | 2.769196e+07 | 2.814170e+07 | 2.858732e+07 | 2.902803e+07 | 2.946329e+07 | 2.989308e+07 | 3.031785e+07 | 3.073838e+07 | 3.115513e+07 | 3.156818e+07 | 3.197706e+07 |
| 253 | 253 | British Virgin Islands | VGB | Population, total | SP.POP.TOTL | 8.033000e+03 | 8.155000e+03 | 8.298000e+03 | 8.452000e+03 | 8.627000e+03 | 8.814000e+03 | 9.007000e+03 | 9.218000e+03 | 9.424000e+03 | 9.621000e+03 | 9.803000e+03 | 9.970000e+03 | 1.012500e+04 | 1.026400e+04 | 1.037900e+04 | 1.047600e+04 | 1.054300e+04 | 1.059100e+04 | 1.066200e+04 | 1.079200e+04 | 1.100200e+04 | 1.131500e+04 | 1.171200e+04 | 1.218800e+04 | 1.273100e+04 | 1.330400e+04 | 1.393800e+04 | 1.458900e+04 | 1.526600e+04 | 1.590000e+04 | 1.646100e+04 | 1.693400e+04 | 1.734400e+04 | 1.770300e+04 | 1.805200e+04 | 1.842700e+04 | 1.883300e+04 | 1.927000e+04 | 1.972200e+04 | 2.018800e+04 | 2.064500e+04 | 2.108500e+04 | 2.152900e+04 | 2.200000e+04 | 2.254100e+04 | 2.316800e+04 | 2.390500e+04 | 2.473100e+04 | 2.560400e+04 | 2.644700e+04 | 2.722400e+04 | 2.790100e+04 | 2.850900e+04 | 2.905600e+04 | 2.958800e+04 | 3.011300e+04 | 3.066100e+04 | 3.119600e+04 |
| 254 | 254 | Virgin Islands (U.S.) | VIR | Population, total | SP.POP.TOTL | 3.250000e+04 | 3.430000e+04 | 3.500000e+04 | 3.980000e+04 | 4.080000e+04 | 4.350000e+04 | 4.620000e+04 | 4.910000e+04 | 5.570000e+04 | 6.030000e+04 | 6.347600e+04 | 7.093700e+04 | 7.631900e+04 | 8.412100e+04 | 8.994100e+04 | 9.448400e+04 | 9.616600e+04 | 9.320300e+04 | 9.592900e+04 | 9.618300e+04 | 9.963600e+04 | 9.985300e+04 | 1.000680e+05 | 1.003480e+05 | 1.006000e+05 | 1.007600e+05 | 1.008420e+05 | 1.009010e+05 | 1.009520e+05 | 1.010410e+05 | 1.039630e+05 | 1.048070e+05 | 1.057120e+05 | 1.065780e+05 | 1.073180e+05 | 1.078180e+05 | 1.080950e+05 | 1.083570e+05 | 1.085370e+05 | 1.085990e+05 | 1.086420e+05 | 1.085490e+05 | 1.085100e+05 | 1.085060e+05 | 1.084670e+05 | 1.084540e+05 | 1.083710e+05 | 1.083390e+05 | 1.083990e+05 | 1.084050e+05 | 1.083580e+05 | 1.082920e+05 | 1.081910e+05 | 1.080440e+05 | 1.078840e+05 | 1.077100e+05 | 1.075100e+05 | 1.072680e+05 |
| 255 | 255 | Vietnam | VNM | Population, total | SP.POP.TOTL | 3.267063e+07 | 3.366677e+07 | 3.468416e+07 | 3.572209e+07 | 3.678098e+07 | 3.786001e+07 | 3.895933e+07 | 4.007470e+07 | 4.119584e+07 | 4.230966e+07 | 4.340729e+07 | 4.448591e+07 | 4.554948e+07 | 4.660473e+07 | 4.766177e+07 | 4.872939e+07 | 4.980807e+07 | 5.089950e+07 | 5.201528e+07 | 5.316967e+07 | 5.437251e+07 | 5.562775e+07 | 5.693182e+07 | 5.827739e+07 | 5.965309e+07 | 6.104937e+07 | 6.245956e+07 | 6.388130e+07 | 6.531371e+07 | 6.675740e+07 | 6.820960e+07 | 6.967090e+07 | 7.113045e+07 | 7.256043e+07 | 7.392508e+07 | 7.519898e+07 | 7.637272e+07 | 7.745334e+07 | 7.845290e+07 | 7.939137e+07 | 8.028556e+07 | 8.113992e+07 | 8.195650e+07 | 8.274766e+07 | 8.352768e+07 | 8.430884e+07 | 8.509462e+07 | 8.588959e+07 | 8.670780e+07 | 8.756541e+07 | 8.847251e+07 | 8.943664e+07 | 9.045188e+07 | 9.149772e+07 | 9.254492e+07 | 9.357157e+07 | 9.456907e+07 | 9.554080e+07 |
| 256 | 256 | Vanuatu | VUT | Population, total | SP.POP.TOTL | 6.369900e+04 | 6.571300e+04 | 6.780800e+04 | 6.996400e+04 | 7.213100e+04 | 7.428900e+04 | 7.641300e+04 | 7.852200e+04 | 8.067300e+04 | 8.294000e+04 | 8.538900e+04 | 8.802200e+04 | 9.082300e+04 | 9.376500e+04 | 9.679600e+04 | 9.987200e+04 | 1.030280e+05 | 1.062220e+05 | 1.094290e+05 | 1.125800e+05 | 1.156320e+05 | 1.185800e+05 | 1.214350e+05 | 1.242490e+05 | 1.270920e+05 | 1.300270e+05 | 1.330380e+05 | 1.361250e+05 | 1.393660e+05 | 1.428490e+05 | 1.466340e+05 | 1.507780e+05 | 1.552430e+05 | 1.598140e+05 | 1.642080e+05 | 1.682350e+05 | 1.718010e+05 | 1.749990e+05 | 1.780780e+05 | 1.813450e+05 | 1.850630e+05 | 1.892900e+05 | 1.939560e+05 | 1.989640e+05 | 2.041430e+05 | 2.093700e+05 | 2.146340e+05 | 2.199530e+05 | 2.253400e+05 | 2.307850e+05 | 2.362950e+05 | 2.418710e+05 | 2.474850e+05 | 2.531420e+05 | 2.588500e+05 | 2.646030e+05 | 2.704020e+05 | 2.762440e+05 |
| 257 | 257 | World | WLD | Population, total | SP.POP.TOTL | 3.032160e+09 | 3.073369e+09 | 3.126510e+09 | 3.191786e+09 | 3.257460e+09 | 3.324545e+09 | 3.394784e+09 | 3.464689e+09 | 3.535355e+09 | 3.610179e+09 | 3.685753e+09 | 3.763393e+09 | 3.840270e+09 | 3.916244e+09 | 3.992871e+09 | 4.067741e+09 | 4.140647e+09 | 4.213305e+09 | 4.287156e+09 | 4.362864e+09 | 4.439338e+09 | 4.517803e+09 | 4.599182e+09 | 4.681262e+09 | 4.763043e+09 | 4.846338e+09 | 4.932114e+09 | 5.020001e+09 | 5.108813e+09 | 5.197758e+09 | 5.288103e+09 | 5.375489e+09 | 5.459754e+09 | 5.544873e+09 | 5.628791e+09 | 5.713794e+09 | 5.796632e+09 | 5.879434e+09 | 5.961166e+09 | 6.041819e+09 | 6.121683e+09 | 6.201340e+09 | 6.280530e+09 | 6.359899e+09 | 6.439825e+09 | 6.520299e+09 | 6.601477e+09 | 6.683224e+09 | 6.766297e+09 | 6.849569e+09 | 6.932870e+09 | 7.014984e+09 | 7.099558e+09 | 7.185138e+09 | 7.271323e+09 | 7.357559e+09 | 7.444157e+09 | 7.530360e+09 |
| 258 | 258 | Samoa | WSM | Population, total | SP.POP.TOTL | 1.086460e+05 | 1.121190e+05 | 1.157880e+05 | 1.195610e+05 | 1.233540e+05 | 1.270680e+05 | 1.306880e+05 | 1.341930e+05 | 1.375060e+05 | 1.405180e+05 | 1.431760e+05 | 1.454390e+05 | 1.473210e+05 | 1.488890e+05 | 1.502210e+05 | 1.513870e+05 | 1.523900e+05 | 1.532470e+05 | 1.540070e+05 | 1.547600e+05 | 1.555570e+05 | 1.564280e+05 | 1.574030e+05 | 1.583840e+05 | 1.592830e+05 | 1.600310e+05 | 1.605920e+05 | 1.610150e+05 | 1.614210e+05 | 1.619980e+05 | 1.628660e+05 | 1.640760e+05 | 1.655700e+05 | 1.672070e+05 | 1.687880e+05 | 1.701570e+05 | 1.712830e+05 | 1.721980e+05 | 1.729810e+05 | 1.737550e+05 | 1.746100e+05 | 1.755660e+05 | 1.765820e+05 | 1.776620e+05 | 1.787810e+05 | 1.799290e+05 | 1.810940e+05 | 1.822860e+05 | 1.835260e+05 | 1.848260e+05 | 1.862050e+05 | 1.876650e+05 | 1.891940e+05 | 1.907570e+05 | 1.922900e+05 | 1.937590e+05 | 1.951250e+05 | 1.964400e+05 |
| 259 | 259 | Kosovo | XKX | Population, total | SP.POP.TOTL | 9.470000e+05 | 9.660000e+05 | 9.940000e+05 | 1.022000e+06 | 1.050000e+06 | 1.078000e+06 | 1.106000e+06 | 1.135000e+06 | 1.163000e+06 | 1.191000e+06 | 1.219000e+06 | 1.247000e+06 | 1.278000e+06 | 1.308000e+06 | 1.339000e+06 | 1.369000e+06 | 1.400000e+06 | 1.430000e+06 | 1.460000e+06 | 1.491000e+06 | 1.521000e+06 | 1.552000e+06 | 1.582000e+06 | 1.614000e+06 | 1.647000e+06 | 1.682000e+06 | 1.717000e+06 | 1.753000e+06 | 1.791000e+06 | 1.827000e+06 | 1.862000e+06 | 1.898000e+06 | 1.932000e+06 | 1.965000e+06 | 1.997000e+06 | 2.029000e+06 | 2.059000e+06 | 2.086000e+06 | 1.966000e+06 | 1.762000e+06 | 1.700000e+06 | 1.701154e+06 | 1.702310e+06 | 1.703466e+06 | 1.704622e+06 | 1.705780e+06 | 1.719536e+06 | 1.733404e+06 | 1.747383e+06 | 1.761474e+06 | 1.775680e+06 | 1.791000e+06 | 1.805200e+06 | 1.824100e+06 | 1.821800e+06 | 1.801800e+06 | 1.816200e+06 | 1.830700e+06 |
| 260 | 260 | Yemen, Rep. | YEM | Population, total | SP.POP.TOTL | 5.172135e+06 | 5.260501e+06 | 5.351799e+06 | 5.446063e+06 | 5.543339e+06 | 5.643643e+06 | 5.748588e+06 | 5.858638e+06 | 5.971407e+06 | 6.083619e+06 | 6.193810e+06 | 6.300554e+06 | 6.407295e+06 | 6.523452e+06 | 6.661566e+06 | 6.830692e+06 | 7.034868e+06 | 7.271872e+06 | 7.536764e+06 | 7.821552e+06 | 8.120497e+06 | 8.434017e+06 | 8.764621e+06 | 9.111097e+06 | 9.472170e+06 | 9.847899e+06 | 1.023273e+07 | 1.062858e+07 | 1.105150e+07 | 1.152327e+07 | 1.205704e+07 | 1.266161e+07 | 1.332558e+07 | 1.401724e+07 | 1.469269e+07 | 1.532065e+07 | 1.588945e+07 | 1.640895e+07 | 1.689621e+07 | 1.737810e+07 | 1.787472e+07 | 1.839014e+07 | 1.891918e+07 | 1.946209e+07 | 2.001707e+07 | 2.058293e+07 | 2.116053e+07 | 2.175160e+07 | 2.235639e+07 | 2.297493e+07 | 2.360678e+07 | 2.425221e+07 | 2.490997e+07 | 2.557632e+07 | 2.624633e+07 | 2.691621e+07 | 2.758421e+07 | 2.825042e+07 |
| 261 | 261 | South Africa | ZAF | Population, total | SP.POP.TOTL | 1.745686e+07 | 1.792067e+07 | 1.840161e+07 | 1.889928e+07 | 1.941298e+07 | 1.994230e+07 | 2.048644e+07 | 2.104578e+07 | 2.162259e+07 | 2.221990e+07 | 2.283945e+07 | 2.348281e+07 | 2.414814e+07 | 2.482969e+07 | 2.551960e+07 | 2.621240e+07 | 2.690435e+07 | 2.759730e+07 | 2.829815e+07 | 2.901705e+07 | 2.976047e+07 | 3.053295e+07 | 3.133026e+07 | 3.213971e+07 | 3.294358e+07 | 3.373015e+07 | 3.449042e+07 | 3.523025e+07 | 3.597054e+07 | 3.674088e+07 | 3.756052e+07 | 3.843786e+07 | 3.936022e+07 | 4.030016e+07 | 4.121890e+07 | 4.208816e+07 | 4.289852e+07 | 4.365702e+07 | 4.437211e+07 | 4.505878e+07 | 4.572832e+07 | 4.638501e+07 | 4.702617e+07 | 4.764873e+07 | 4.824740e+07 | 4.882059e+07 | 4.936458e+07 | 4.988718e+07 | 5.041213e+07 | 5.097082e+07 | 5.158466e+07 | 5.226352e+07 | 5.299821e+07 | 5.376740e+07 | 5.453957e+07 | 5.529122e+07 | 5.601547e+07 | 5.671716e+07 |
| 262 | 262 | Zambia | ZMB | Population, total | SP.POP.TOTL | 3.044846e+06 | 3.140264e+06 | 3.240587e+06 | 3.345145e+06 | 3.452942e+06 | 3.563407e+06 | 3.676189e+06 | 3.791887e+06 | 3.912085e+06 | 4.038923e+06 | 4.173928e+06 | 4.317748e+06 | 4.469895e+06 | 4.629402e+06 | 4.794754e+06 | 4.964831e+06 | 5.139030e+06 | 5.317631e+06 | 5.501445e+06 | 5.691749e+06 | 5.889230e+06 | 6.094206e+06 | 6.305709e+06 | 6.521542e+06 | 6.738765e+06 | 6.955212e+06 | 7.170656e+06 | 7.385686e+06 | 7.600072e+06 | 7.813808e+06 | 8.027253e+06 | 8.239732e+06 | 8.452275e+06 | 8.669168e+06 | 8.896109e+06 | 9.137077e+06 | 9.394304e+06 | 9.666578e+06 | 9.950224e+06 | 1.023971e+07 | 1.053122e+07 | 1.082412e+07 | 1.112041e+07 | 1.142198e+07 | 1.173175e+07 | 1.205216e+07 | 1.238345e+07 | 1.272597e+07 | 1.308252e+07 | 1.345642e+07 | 1.385003e+07 | 1.426476e+07 | 1.469994e+07 | 1.515321e+07 | 1.562097e+07 | 1.610059e+07 | 1.659139e+07 | 1.709413e+07 |
| 263 | 263 | Zimbabwe | ZWE | Population, total | SP.POP.TOTL | 3.747369e+06 | 3.870756e+06 | 3.999419e+06 | 4.132756e+06 | 4.269863e+06 | 4.410212e+06 | 4.553433e+06 | 4.700041e+06 | 4.851431e+06 | 5.009514e+06 | 5.175618e+06 | 5.351195e+06 | 5.535874e+06 | 5.727044e+06 | 5.920943e+06 | 6.115370e+06 | 6.308300e+06 | 6.501893e+06 | 6.703182e+06 | 6.921790e+06 | 7.164172e+06 | 7.431940e+06 | 7.721536e+06 | 8.027565e+06 | 8.342195e+06 | 8.658857e+06 | 8.976205e+06 | 9.293283e+06 | 9.604302e+06 | 9.902540e+06 | 1.018311e+07 | 1.044304e+07 | 1.068287e+07 | 1.090576e+07 | 1.111695e+07 | 1.132035e+07 | 1.151826e+07 | 1.171000e+07 | 1.189327e+07 | 1.206454e+07 | 1.222225e+07 | 1.236616e+07 | 1.250052e+07 | 1.263390e+07 | 1.277751e+07 | 1.294003e+07 | 1.312427e+07 | 1.332991e+07 | 1.355847e+07 | 1.381060e+07 | 1.408632e+07 | 1.438665e+07 | 1.471083e+07 | 1.505451e+07 | 1.541168e+07 | 1.577745e+07 | 1.615036e+07 | 1.652990e+07 |
Connect to the population_data.db SQLite database, and answer the following questions:
There is a solution if you go to File->Open->3_sql_exercise_solution.ipynb
pd.read_sql('SELECT "1960","1961" FROM population_data where "Country_Name" = "Aruba"', engine)
| 1960 | 1961 | |
|---|---|---|
| 0 | 54211.0 | 55438.0 |
pd.read_sql('SELECT "Country_Name","1975" FROM population_data where "Country_Name" = "Belgium"OR "Country_Name" ="Luxembourg"', engine)
| Country_Name | 1975 | |
|---|---|---|
| 0 | Belgium | 9800700.0 |
| 1 | Luxembourg | 358950.0 |
Instead of downloading World Bank data via a csv file, you're going to download the data using the World Bank APIs. The purpose of this exercise is to gain experience with another way of extracting data.
API is an acronym that stands for application programming interface. API’s provide a standardized way for two applications to talk to each other. In this case, the applications communicating with each other are the server application where World Bank stores data and your Jupyter notebook.
If you wanted to pull data directly from the World Bank’s server, you’d have to know what database system the World Bank was using. You’d also need permission to log in directly to the server, which would be a security risk for the World Bank. And if the World Bank ever migrated its data to a new system, you would have to rewrite all of your code again. The API allows you to execute code on the World Bank server without getting direct access.
Before there were APIs, there was web scraping. People would download html directly from a website and then parse the results programatically. This practice is in a legal grey area. One reason that APIs became popular was so that companies could provide data to users and discourage web scraping.
Here are a few articles about the legality of web scraping.
All sorts of companies have public facing APIs including Facebook, Twitter, Google and Pinterest. You can pull data from these companies to create your own applications.
In this notebook, you’ll get practice using Python to pull data from the World Bank indicators API.
Here are links to information about the World Bank indicators and projects APIs if you want to learn more:
In general, you access APIs via the web using a web address. Within the web address, you specify the data that you want. To know how to format the web address, you need to read an API's documentation. Some APIs also require that you send login credentials as part of your request. The World Bank APIs are public and do not require login credentials.
The Python requests library makes working with APIs relatively simple.
Run the code example below to request data from the World Bank Indicators API. According to the documntation, you format your request url like so:
http://api.worldbank.org/v2/countries/ + list of country abbreviations separated by ; + /indicators/ + indicator name + ? + options
where options can include
format - json or xml
and a few other options that you can read about here.
import requests
import pandas as pd
url = 'http://api.worldbank.org/v2/countries/br;cn;us;de/indicators/SP.POP.TOTL/?format=json&per_page=1000'
r = requests.get(url)
r.json()
[{'page': 1,
'pages': 1,
'per_page': 1000,
'total': 240,
'sourceid': '2',
'lastupdated': '2019-12-20'},
[{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2019',
'value': None,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2018',
'value': 209469333,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2017',
'value': 207833831,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2016',
'value': 206163058,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2015',
'value': 204471769,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2014',
'value': 202763735,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2013',
'value': 201035903,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2012',
'value': 199287296,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2011',
'value': 197514534,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2010',
'value': 195713635,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2009',
'value': 193886508,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2008',
'value': 192030362,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2007',
'value': 190130443,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2006',
'value': 188167356,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2005',
'value': 186127103,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2004',
'value': 184006481,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2003',
'value': 181809246,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2002',
'value': 179537520,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2001',
'value': 177196054,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '2000',
'value': 174790340,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1999',
'value': 172318675,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1998',
'value': 169785250,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1997',
'value': 167209040,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1996',
'value': 164614688,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1995',
'value': 162019896,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1994',
'value': 159432716,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1993',
'value': 156849078,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1992',
'value': 154259380,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1991',
'value': 151648011,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1990',
'value': 149003223,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1989',
'value': 146328304,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1988',
'value': 143627503,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1987',
'value': 140891602,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1986',
'value': 138108912,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1985',
'value': 135274080,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1984',
'value': 132383568,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1983',
'value': 129448819,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1982',
'value': 126498314,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1981',
'value': 123570327,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1980',
'value': 120694009,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1979',
'value': 117878411,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1978',
'value': 115121153,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1977',
'value': 112425392,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1976',
'value': 109790938,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1975',
'value': 107216205,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1974',
'value': 104706198,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1973',
'value': 102259497,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1972',
'value': 99859383,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'BR', 'value': 'Brazil'},
'countryiso3code': 'BRA',
'date': '1971',
'value': 97482920,
'unit': '',
'obs_status': '',
'decimal': 0},
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{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1980',
'value': 227225000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1979',
'value': 225055000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1978',
'value': 222585000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1977',
'value': 220239000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1976',
'value': 218035000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1975',
'value': 215973000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1974',
'value': 213854000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1973',
'value': 211909000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1972',
'value': 209896000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1971',
'value': 207661000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1970',
'value': 205052000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1969',
'value': 202677000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1968',
'value': 200706000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1967',
'value': 198712000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1966',
'value': 196560000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1965',
'value': 194303000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1964',
'value': 191889000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1963',
'value': 189242000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1962',
'value': 186538000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1961',
'value': 183691000,
'unit': '',
'obs_status': '',
'decimal': 0},
{'indicator': {'id': 'SP.POP.TOTL', 'value': 'Population, total'},
'country': {'id': 'US', 'value': 'United States'},
'countryiso3code': 'USA',
'date': '1960',
'value': 180671000,
'unit': '',
'obs_status': '',
'decimal': 0}]]
###
# Run this cell that converts the json into a dataframe
# Note that you do not need the pd.read_json() method because this is not a file or a string containing json
##
pd.DataFrame(r.json()[1])
| indicator | country | countryiso3code | date | value | unit | obs_status | decimal | |
|---|---|---|---|---|---|---|---|---|
| 0 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2019 | NaN | 0 | ||
| 1 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2018 | 2.094693e+08 | 0 | ||
| 2 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2017 | 2.078338e+08 | 0 | ||
| 3 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2016 | 2.061631e+08 | 0 | ||
| 4 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2015 | 2.044718e+08 | 0 | ||
| 5 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2014 | 2.027637e+08 | 0 | ||
| 6 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2013 | 2.010359e+08 | 0 | ||
| 7 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2012 | 1.992873e+08 | 0 | ||
| 8 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2011 | 1.975145e+08 | 0 | ||
| 9 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2010 | 1.957136e+08 | 0 | ||
| 10 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2009 | 1.938865e+08 | 0 | ||
| 11 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2008 | 1.920304e+08 | 0 | ||
| 12 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2007 | 1.901304e+08 | 0 | ||
| 13 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2006 | 1.881674e+08 | 0 | ||
| 14 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2005 | 1.861271e+08 | 0 | ||
| 15 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2004 | 1.840065e+08 | 0 | ||
| 16 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2003 | 1.818092e+08 | 0 | ||
| 17 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2002 | 1.795375e+08 | 0 | ||
| 18 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2001 | 1.771961e+08 | 0 | ||
| 19 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2000 | 1.747903e+08 | 0 | ||
| 20 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1999 | 1.723187e+08 | 0 | ||
| 21 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1998 | 1.697852e+08 | 0 | ||
| 22 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1997 | 1.672090e+08 | 0 | ||
| 23 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1996 | 1.646147e+08 | 0 | ||
| 24 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1995 | 1.620199e+08 | 0 | ||
| 25 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1994 | 1.594327e+08 | 0 | ||
| 26 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1993 | 1.568491e+08 | 0 | ||
| 27 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1992 | 1.542594e+08 | 0 | ||
| 28 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1991 | 1.516480e+08 | 0 | ||
| 29 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1990 | 1.490032e+08 | 0 | ||
| 30 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1989 | 1.463283e+08 | 0 | ||
| 31 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1988 | 1.436275e+08 | 0 | ||
| 32 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1987 | 1.408916e+08 | 0 | ||
| 33 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1986 | 1.381089e+08 | 0 | ||
| 34 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1985 | 1.352741e+08 | 0 | ||
| 35 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1984 | 1.323836e+08 | 0 | ||
| 36 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1983 | 1.294488e+08 | 0 | ||
| 37 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1982 | 1.264983e+08 | 0 | ||
| 38 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1981 | 1.235703e+08 | 0 | ||
| 39 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1980 | 1.206940e+08 | 0 | ||
| 40 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1979 | 1.178784e+08 | 0 | ||
| 41 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1978 | 1.151212e+08 | 0 | ||
| 42 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1977 | 1.124254e+08 | 0 | ||
| 43 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1976 | 1.097909e+08 | 0 | ||
| 44 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1975 | 1.072162e+08 | 0 | ||
| 45 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1974 | 1.047062e+08 | 0 | ||
| 46 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1973 | 1.022595e+08 | 0 | ||
| 47 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1972 | 9.985938e+07 | 0 | ||
| 48 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1971 | 9.748292e+07 | 0 | ||
| 49 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1970 | 9.511326e+07 | 0 | ||
| 50 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1969 | 9.274661e+07 | 0 | ||
| 51 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1968 | 9.038708e+07 | 0 | ||
| 52 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1967 | 8.803581e+07 | 0 | ||
| 53 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1966 | 8.569650e+07 | 0 | ||
| 54 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1965 | 8.337353e+07 | 0 | ||
| 55 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1964 | 8.106457e+07 | 0 | ||
| 56 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1963 | 7.877266e+07 | 0 | ||
| 57 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1962 | 7.651433e+07 | 0 | ||
| 58 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1961 | 7.431134e+07 | 0 | ||
| 59 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1960 | 7.217923e+07 | 0 | ||
| 60 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2019 | NaN | 0 | ||
| 61 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2018 | 1.392730e+09 | 0 | ||
| 62 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2017 | 1.386395e+09 | 0 | ||
| 63 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2016 | 1.378665e+09 | 0 | ||
| 64 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2015 | 1.371220e+09 | 0 | ||
| 65 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2014 | 1.364270e+09 | 0 | ||
| 66 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2013 | 1.357380e+09 | 0 | ||
| 67 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2012 | 1.350695e+09 | 0 | ||
| 68 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2011 | 1.344130e+09 | 0 | ||
| 69 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2010 | 1.337705e+09 | 0 | ||
| 70 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2009 | 1.331260e+09 | 0 | ||
| 71 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2008 | 1.324655e+09 | 0 | ||
| 72 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2007 | 1.317885e+09 | 0 | ||
| 73 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2006 | 1.311020e+09 | 0 | ||
| 74 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2005 | 1.303720e+09 | 0 | ||
| 75 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2004 | 1.296075e+09 | 0 | ||
| 76 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2003 | 1.288400e+09 | 0 | ||
| 77 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2002 | 1.280400e+09 | 0 | ||
| 78 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2001 | 1.271850e+09 | 0 | ||
| 79 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2000 | 1.262645e+09 | 0 | ||
| 80 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1999 | 1.252735e+09 | 0 | ||
| 81 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1998 | 1.241935e+09 | 0 | ||
| 82 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1997 | 1.230075e+09 | 0 | ||
| 83 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1996 | 1.217550e+09 | 0 | ||
| 84 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1995 | 1.204855e+09 | 0 | ||
| 85 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1994 | 1.191835e+09 | 0 | ||
| 86 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1993 | 1.178440e+09 | 0 | ||
| 87 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1992 | 1.164970e+09 | 0 | ||
| 88 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1991 | 1.150780e+09 | 0 | ||
| 89 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1990 | 1.135185e+09 | 0 | ||
| 90 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1989 | 1.118650e+09 | 0 | ||
| 91 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1988 | 1.101630e+09 | 0 | ||
| 92 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1987 | 1.084035e+09 | 0 | ||
| 93 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1986 | 1.066790e+09 | 0 | ||
| 94 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1985 | 1.051040e+09 | 0 | ||
| 95 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1984 | 1.036825e+09 | 0 | ||
| 96 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1983 | 1.023310e+09 | 0 | ||
| 97 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1982 | 1.008630e+09 | 0 | ||
| 98 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1981 | 9.938850e+08 | 0 | ||
| 99 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1980 | 9.812350e+08 | 0 | ||
| 100 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1979 | 9.690050e+08 | 0 | ||
| 101 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1978 | 9.561650e+08 | 0 | ||
| 102 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1977 | 9.434550e+08 | 0 | ||
| 103 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1976 | 9.306850e+08 | 0 | ||
| 104 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1975 | 9.163950e+08 | 0 | ||
| 105 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1974 | 9.003500e+08 | 0 | ||
| 106 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1973 | 8.819400e+08 | 0 | ||
| 107 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1972 | 8.620300e+08 | 0 | ||
| 108 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1971 | 8.411050e+08 | 0 | ||
| 109 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1970 | 8.183150e+08 | 0 | ||
| 110 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1969 | 7.960250e+08 | 0 | ||
| 111 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1968 | 7.745100e+08 | 0 | ||
| 112 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1967 | 7.545500e+08 | 0 | ||
| 113 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1966 | 7.354000e+08 | 0 | ||
| 114 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1965 | 7.151850e+08 | 0 | ||
| 115 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1964 | 6.983550e+08 | 0 | ||
| 116 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1963 | 6.823350e+08 | 0 | ||
| 117 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1962 | 6.657700e+08 | 0 | ||
| 118 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1961 | 6.603300e+08 | 0 | ||
| 119 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1960 | 6.670700e+08 | 0 | ||
| 120 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2019 | NaN | 0 | ||
| 121 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2018 | 8.292792e+07 | 0 | ||
| 122 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2017 | 8.265700e+07 | 0 | ||
| 123 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2016 | 8.234867e+07 | 0 | ||
| 124 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2015 | 8.168661e+07 | 0 | ||
| 125 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2014 | 8.098250e+07 | 0 | ||
| 126 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2013 | 8.064560e+07 | 0 | ||
| 127 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2012 | 8.042582e+07 | 0 | ||
| 128 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2011 | 8.027498e+07 | 0 | ||
| 129 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2010 | 8.177693e+07 | 0 | ||
| 130 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2009 | 8.190231e+07 | 0 | ||
| 131 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2008 | 8.211010e+07 | 0 | ||
| 132 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2007 | 8.226637e+07 | 0 | ||
| 133 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2006 | 8.237645e+07 | 0 | ||
| 134 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2005 | 8.246942e+07 | 0 | ||
| 135 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2004 | 8.251626e+07 | 0 | ||
| 136 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2003 | 8.253418e+07 | 0 | ||
| 137 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2002 | 8.248850e+07 | 0 | ||
| 138 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2001 | 8.234992e+07 | 0 | ||
| 139 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2000 | 8.221151e+07 | 0 | ||
| 140 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1999 | 8.210024e+07 | 0 | ||
| 141 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1998 | 8.204720e+07 | 0 | ||
| 142 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1997 | 8.203477e+07 | 0 | ||
| 143 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1996 | 8.191483e+07 | 0 | ||
| 144 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1995 | 8.167805e+07 | 0 | ||
| 145 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1994 | 8.143835e+07 | 0 | ||
| 146 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1993 | 8.115636e+07 | 0 | ||
| 147 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1992 | 8.062460e+07 | 0 | ||
| 148 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1991 | 8.001390e+07 | 0 | ||
| 149 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1990 | 7.943303e+07 | 0 | ||
| 150 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1989 | 7.875128e+07 | 0 | ||
| 151 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1988 | 7.814462e+07 | 0 | ||
| 152 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1987 | 7.783992e+07 | 0 | ||
| 153 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1986 | 7.772044e+07 | 0 | ||
| 154 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1985 | 7.768487e+07 | 0 | ||
| 155 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1984 | 7.785868e+07 | 0 | ||
| 156 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1983 | 7.812828e+07 | 0 | ||
| 157 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1982 | 7.833337e+07 | 0 | ||
| 158 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1981 | 7.840791e+07 | 0 | ||
| 159 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1980 | 7.828858e+07 | 0 | ||
| 160 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1979 | 7.812635e+07 | 0 | ||
| 161 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1978 | 7.809182e+07 | 0 | ||
| 162 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1977 | 7.815981e+07 | 0 | ||
| 163 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1976 | 7.833695e+07 | 0 | ||
| 164 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1975 | 7.867355e+07 | 0 | ||
| 165 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1974 | 7.896743e+07 | 0 | ||
| 166 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1973 | 7.893667e+07 | 0 | ||
| 167 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1972 | 7.868845e+07 | 0 | ||
| 168 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1971 | 7.831284e+07 | 0 | ||
| 169 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1970 | 7.816929e+07 | 0 | ||
| 170 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1969 | 7.790968e+07 | 0 | ||
| 171 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1968 | 7.729431e+07 | 0 | ||
| 172 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1967 | 7.695134e+07 | 0 | ||
| 173 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1966 | 7.660031e+07 | 0 | ||
| 174 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1965 | 7.596370e+07 | 0 | ||
| 175 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1964 | 7.531834e+07 | 0 | ||
| 176 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1963 | 7.471435e+07 | 0 | ||
| 177 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1962 | 7.402578e+07 | 0 | ||
| 178 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1961 | 7.337763e+07 | 0 | ||
| 179 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1960 | 7.281490e+07 | 0 | ||
| 180 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2019 | NaN | 0 | ||
| 181 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2018 | 3.271674e+08 | 0 | ||
| 182 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2017 | 3.251471e+08 | 0 | ||
| 183 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2016 | 3.230713e+08 | 0 | ||
| 184 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2015 | 3.207427e+08 | 0 | ||
| 185 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2014 | 3.183864e+08 | 0 | ||
| 186 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2013 | 3.160577e+08 | 0 | ||
| 187 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2012 | 3.138742e+08 | 0 | ||
| 188 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2011 | 3.115800e+08 | 0 | ||
| 189 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2010 | 3.093261e+08 | 0 | ||
| 190 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2009 | 3.067715e+08 | 0 | ||
| 191 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2008 | 3.040940e+08 | 0 | ||
| 192 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2007 | 3.012312e+08 | 0 | ||
| 193 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2006 | 2.983799e+08 | 0 | ||
| 194 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2005 | 2.955166e+08 | 0 | ||
| 195 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2004 | 2.928053e+08 | 0 | ||
| 196 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2003 | 2.901079e+08 | 0 | ||
| 197 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2002 | 2.876252e+08 | 0 | ||
| 198 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2001 | 2.849690e+08 | 0 | ||
| 199 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2000 | 2.821624e+08 | 0 | ||
| 200 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1999 | 2.790400e+08 | 0 | ||
| 201 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1998 | 2.758540e+08 | 0 | ||
| 202 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1997 | 2.726570e+08 | 0 | ||
| 203 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1996 | 2.693940e+08 | 0 | ||
| 204 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1995 | 2.662780e+08 | 0 | ||
| 205 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1994 | 2.631260e+08 | 0 | ||
| 206 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1993 | 2.599190e+08 | 0 | ||
| 207 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1992 | 2.565140e+08 | 0 | ||
| 208 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1991 | 2.529810e+08 | 0 | ||
| 209 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1990 | 2.496230e+08 | 0 | ||
| 210 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1989 | 2.468190e+08 | 0 | ||
| 211 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1988 | 2.444990e+08 | 0 | ||
| 212 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1987 | 2.422890e+08 | 0 | ||
| 213 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1986 | 2.401330e+08 | 0 | ||
| 214 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1985 | 2.379240e+08 | 0 | ||
| 215 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1984 | 2.358250e+08 | 0 | ||
| 216 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1983 | 2.337920e+08 | 0 | ||
| 217 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1982 | 2.316640e+08 | 0 | ||
| 218 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1981 | 2.294660e+08 | 0 | ||
| 219 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1980 | 2.272250e+08 | 0 | ||
| 220 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1979 | 2.250550e+08 | 0 | ||
| 221 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1978 | 2.225850e+08 | 0 | ||
| 222 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1977 | 2.202390e+08 | 0 | ||
| 223 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1976 | 2.180350e+08 | 0 | ||
| 224 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1975 | 2.159730e+08 | 0 | ||
| 225 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1974 | 2.138540e+08 | 0 | ||
| 226 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1973 | 2.119090e+08 | 0 | ||
| 227 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1972 | 2.098960e+08 | 0 | ||
| 228 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1971 | 2.076610e+08 | 0 | ||
| 229 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1970 | 2.050520e+08 | 0 | ||
| 230 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1969 | 2.026770e+08 | 0 | ||
| 231 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1968 | 2.007060e+08 | 0 | ||
| 232 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1967 | 1.987120e+08 | 0 | ||
| 233 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1966 | 1.965600e+08 | 0 | ||
| 234 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1965 | 1.943030e+08 | 0 | ||
| 235 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1964 | 1.918890e+08 | 0 | ||
| 236 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1963 | 1.892420e+08 | 0 | ||
| 237 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1962 | 1.865380e+08 | 0 | ||
| 238 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1961 | 1.836910e+08 | 0 | ||
| 239 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1960 | 1.806710e+08 | 0 |
This json data isn't quite ready for a pandas data frame. Notice that the json response is a list with two entries. The first entry is
{''page': 1,
'pages': 1,
'per_page': 1000,
'total': 240,
'sourceid': '2',
'lastupdated': '2019-12-20'}
That first entry is meta data about the results. For example, it says that there is one page returned with 232 results.
The second entry is another list containing the data. This data would need some cleaning to be used in a pandas data frame. That would happen later in the transformation step of an ETL pipeline. Run the cell below to read the results into a dataframe and see what happens.
###
# Run this cell that converts the json into a dataframe
# Note that you do not need the pd.read_json() method because this is not a file or a string containing json
##
pd.DataFrame(r.json()[1])
| indicator | country | countryiso3code | date | value | unit | obs_status | decimal | |
|---|---|---|---|---|---|---|---|---|
| 0 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2019 | NaN | 0 | ||
| 1 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2018 | 2.094693e+08 | 0 | ||
| 2 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2017 | 2.078338e+08 | 0 | ||
| 3 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2016 | 2.061631e+08 | 0 | ||
| 4 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2015 | 2.044718e+08 | 0 | ||
| 5 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2014 | 2.027637e+08 | 0 | ||
| 6 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2013 | 2.010359e+08 | 0 | ||
| 7 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2012 | 1.992873e+08 | 0 | ||
| 8 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2011 | 1.975145e+08 | 0 | ||
| 9 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2010 | 1.957136e+08 | 0 | ||
| 10 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2009 | 1.938865e+08 | 0 | ||
| 11 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2008 | 1.920304e+08 | 0 | ||
| 12 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2007 | 1.901304e+08 | 0 | ||
| 13 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2006 | 1.881674e+08 | 0 | ||
| 14 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2005 | 1.861271e+08 | 0 | ||
| 15 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2004 | 1.840065e+08 | 0 | ||
| 16 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2003 | 1.818092e+08 | 0 | ||
| 17 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2002 | 1.795375e+08 | 0 | ||
| 18 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2001 | 1.771961e+08 | 0 | ||
| 19 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 2000 | 1.747903e+08 | 0 | ||
| 20 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1999 | 1.723187e+08 | 0 | ||
| 21 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1998 | 1.697852e+08 | 0 | ||
| 22 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1997 | 1.672090e+08 | 0 | ||
| 23 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1996 | 1.646147e+08 | 0 | ||
| 24 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1995 | 1.620199e+08 | 0 | ||
| 25 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1994 | 1.594327e+08 | 0 | ||
| 26 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1993 | 1.568491e+08 | 0 | ||
| 27 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1992 | 1.542594e+08 | 0 | ||
| 28 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1991 | 1.516480e+08 | 0 | ||
| 29 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1990 | 1.490032e+08 | 0 | ||
| 30 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1989 | 1.463283e+08 | 0 | ||
| 31 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1988 | 1.436275e+08 | 0 | ||
| 32 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1987 | 1.408916e+08 | 0 | ||
| 33 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1986 | 1.381089e+08 | 0 | ||
| 34 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1985 | 1.352741e+08 | 0 | ||
| 35 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1984 | 1.323836e+08 | 0 | ||
| 36 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1983 | 1.294488e+08 | 0 | ||
| 37 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1982 | 1.264983e+08 | 0 | ||
| 38 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1981 | 1.235703e+08 | 0 | ||
| 39 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1980 | 1.206940e+08 | 0 | ||
| 40 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1979 | 1.178784e+08 | 0 | ||
| 41 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1978 | 1.151212e+08 | 0 | ||
| 42 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1977 | 1.124254e+08 | 0 | ||
| 43 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1976 | 1.097909e+08 | 0 | ||
| 44 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1975 | 1.072162e+08 | 0 | ||
| 45 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1974 | 1.047062e+08 | 0 | ||
| 46 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1973 | 1.022595e+08 | 0 | ||
| 47 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1972 | 9.985938e+07 | 0 | ||
| 48 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1971 | 9.748292e+07 | 0 | ||
| 49 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1970 | 9.511326e+07 | 0 | ||
| 50 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1969 | 9.274661e+07 | 0 | ||
| 51 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1968 | 9.038708e+07 | 0 | ||
| 52 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1967 | 8.803581e+07 | 0 | ||
| 53 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1966 | 8.569650e+07 | 0 | ||
| 54 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1965 | 8.337353e+07 | 0 | ||
| 55 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1964 | 8.106457e+07 | 0 | ||
| 56 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1963 | 7.877266e+07 | 0 | ||
| 57 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1962 | 7.651433e+07 | 0 | ||
| 58 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1961 | 7.431134e+07 | 0 | ||
| 59 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'BR', 'value': 'Brazil'} | BRA | 1960 | 7.217923e+07 | 0 | ||
| 60 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2019 | NaN | 0 | ||
| 61 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2018 | 1.392730e+09 | 0 | ||
| 62 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2017 | 1.386395e+09 | 0 | ||
| 63 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2016 | 1.378665e+09 | 0 | ||
| 64 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2015 | 1.371220e+09 | 0 | ||
| 65 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2014 | 1.364270e+09 | 0 | ||
| 66 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2013 | 1.357380e+09 | 0 | ||
| 67 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2012 | 1.350695e+09 | 0 | ||
| 68 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2011 | 1.344130e+09 | 0 | ||
| 69 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2010 | 1.337705e+09 | 0 | ||
| 70 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2009 | 1.331260e+09 | 0 | ||
| 71 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2008 | 1.324655e+09 | 0 | ||
| 72 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2007 | 1.317885e+09 | 0 | ||
| 73 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2006 | 1.311020e+09 | 0 | ||
| 74 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2005 | 1.303720e+09 | 0 | ||
| 75 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2004 | 1.296075e+09 | 0 | ||
| 76 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2003 | 1.288400e+09 | 0 | ||
| 77 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2002 | 1.280400e+09 | 0 | ||
| 78 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2001 | 1.271850e+09 | 0 | ||
| 79 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 2000 | 1.262645e+09 | 0 | ||
| 80 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1999 | 1.252735e+09 | 0 | ||
| 81 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1998 | 1.241935e+09 | 0 | ||
| 82 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1997 | 1.230075e+09 | 0 | ||
| 83 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1996 | 1.217550e+09 | 0 | ||
| 84 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1995 | 1.204855e+09 | 0 | ||
| 85 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1994 | 1.191835e+09 | 0 | ||
| 86 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1993 | 1.178440e+09 | 0 | ||
| 87 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1992 | 1.164970e+09 | 0 | ||
| 88 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1991 | 1.150780e+09 | 0 | ||
| 89 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1990 | 1.135185e+09 | 0 | ||
| 90 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1989 | 1.118650e+09 | 0 | ||
| 91 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1988 | 1.101630e+09 | 0 | ||
| 92 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1987 | 1.084035e+09 | 0 | ||
| 93 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1986 | 1.066790e+09 | 0 | ||
| 94 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1985 | 1.051040e+09 | 0 | ||
| 95 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1984 | 1.036825e+09 | 0 | ||
| 96 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1983 | 1.023310e+09 | 0 | ||
| 97 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1982 | 1.008630e+09 | 0 | ||
| 98 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1981 | 9.938850e+08 | 0 | ||
| 99 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1980 | 9.812350e+08 | 0 | ||
| 100 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1979 | 9.690050e+08 | 0 | ||
| 101 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1978 | 9.561650e+08 | 0 | ||
| 102 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1977 | 9.434550e+08 | 0 | ||
| 103 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1976 | 9.306850e+08 | 0 | ||
| 104 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1975 | 9.163950e+08 | 0 | ||
| 105 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1974 | 9.003500e+08 | 0 | ||
| 106 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1973 | 8.819400e+08 | 0 | ||
| 107 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1972 | 8.620300e+08 | 0 | ||
| 108 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1971 | 8.411050e+08 | 0 | ||
| 109 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1970 | 8.183150e+08 | 0 | ||
| 110 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1969 | 7.960250e+08 | 0 | ||
| 111 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1968 | 7.745100e+08 | 0 | ||
| 112 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1967 | 7.545500e+08 | 0 | ||
| 113 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1966 | 7.354000e+08 | 0 | ||
| 114 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1965 | 7.151850e+08 | 0 | ||
| 115 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1964 | 6.983550e+08 | 0 | ||
| 116 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1963 | 6.823350e+08 | 0 | ||
| 117 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1962 | 6.657700e+08 | 0 | ||
| 118 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1961 | 6.603300e+08 | 0 | ||
| 119 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'CN', 'value': 'China'} | CHN | 1960 | 6.670700e+08 | 0 | ||
| 120 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2019 | NaN | 0 | ||
| 121 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2018 | 8.292792e+07 | 0 | ||
| 122 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2017 | 8.265700e+07 | 0 | ||
| 123 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2016 | 8.234867e+07 | 0 | ||
| 124 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2015 | 8.168661e+07 | 0 | ||
| 125 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2014 | 8.098250e+07 | 0 | ||
| 126 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2013 | 8.064560e+07 | 0 | ||
| 127 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2012 | 8.042582e+07 | 0 | ||
| 128 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2011 | 8.027498e+07 | 0 | ||
| 129 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2010 | 8.177693e+07 | 0 | ||
| 130 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2009 | 8.190231e+07 | 0 | ||
| 131 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2008 | 8.211010e+07 | 0 | ||
| 132 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2007 | 8.226637e+07 | 0 | ||
| 133 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2006 | 8.237645e+07 | 0 | ||
| 134 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2005 | 8.246942e+07 | 0 | ||
| 135 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2004 | 8.251626e+07 | 0 | ||
| 136 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2003 | 8.253418e+07 | 0 | ||
| 137 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2002 | 8.248850e+07 | 0 | ||
| 138 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2001 | 8.234992e+07 | 0 | ||
| 139 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 2000 | 8.221151e+07 | 0 | ||
| 140 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1999 | 8.210024e+07 | 0 | ||
| 141 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1998 | 8.204720e+07 | 0 | ||
| 142 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1997 | 8.203477e+07 | 0 | ||
| 143 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1996 | 8.191483e+07 | 0 | ||
| 144 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1995 | 8.167805e+07 | 0 | ||
| 145 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1994 | 8.143835e+07 | 0 | ||
| 146 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1993 | 8.115636e+07 | 0 | ||
| 147 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1992 | 8.062460e+07 | 0 | ||
| 148 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1991 | 8.001390e+07 | 0 | ||
| 149 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1990 | 7.943303e+07 | 0 | ||
| 150 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1989 | 7.875128e+07 | 0 | ||
| 151 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1988 | 7.814462e+07 | 0 | ||
| 152 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1987 | 7.783992e+07 | 0 | ||
| 153 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1986 | 7.772044e+07 | 0 | ||
| 154 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1985 | 7.768487e+07 | 0 | ||
| 155 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1984 | 7.785868e+07 | 0 | ||
| 156 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1983 | 7.812828e+07 | 0 | ||
| 157 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1982 | 7.833337e+07 | 0 | ||
| 158 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1981 | 7.840791e+07 | 0 | ||
| 159 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1980 | 7.828858e+07 | 0 | ||
| 160 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1979 | 7.812635e+07 | 0 | ||
| 161 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1978 | 7.809182e+07 | 0 | ||
| 162 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1977 | 7.815981e+07 | 0 | ||
| 163 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1976 | 7.833695e+07 | 0 | ||
| 164 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1975 | 7.867355e+07 | 0 | ||
| 165 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1974 | 7.896743e+07 | 0 | ||
| 166 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1973 | 7.893667e+07 | 0 | ||
| 167 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1972 | 7.868845e+07 | 0 | ||
| 168 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1971 | 7.831284e+07 | 0 | ||
| 169 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1970 | 7.816929e+07 | 0 | ||
| 170 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1969 | 7.790968e+07 | 0 | ||
| 171 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1968 | 7.729431e+07 | 0 | ||
| 172 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1967 | 7.695134e+07 | 0 | ||
| 173 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1966 | 7.660031e+07 | 0 | ||
| 174 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1965 | 7.596370e+07 | 0 | ||
| 175 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1964 | 7.531834e+07 | 0 | ||
| 176 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1963 | 7.471435e+07 | 0 | ||
| 177 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1962 | 7.402578e+07 | 0 | ||
| 178 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1961 | 7.337763e+07 | 0 | ||
| 179 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'DE', 'value': 'Germany'} | DEU | 1960 | 7.281490e+07 | 0 | ||
| 180 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2019 | NaN | 0 | ||
| 181 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2018 | 3.271674e+08 | 0 | ||
| 182 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2017 | 3.251471e+08 | 0 | ||
| 183 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2016 | 3.230713e+08 | 0 | ||
| 184 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2015 | 3.207427e+08 | 0 | ||
| 185 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2014 | 3.183864e+08 | 0 | ||
| 186 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2013 | 3.160577e+08 | 0 | ||
| 187 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2012 | 3.138742e+08 | 0 | ||
| 188 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2011 | 3.115800e+08 | 0 | ||
| 189 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2010 | 3.093261e+08 | 0 | ||
| 190 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2009 | 3.067715e+08 | 0 | ||
| 191 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2008 | 3.040940e+08 | 0 | ||
| 192 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2007 | 3.012312e+08 | 0 | ||
| 193 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2006 | 2.983799e+08 | 0 | ||
| 194 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2005 | 2.955166e+08 | 0 | ||
| 195 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2004 | 2.928053e+08 | 0 | ||
| 196 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2003 | 2.901079e+08 | 0 | ||
| 197 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2002 | 2.876252e+08 | 0 | ||
| 198 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2001 | 2.849690e+08 | 0 | ||
| 199 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 2000 | 2.821624e+08 | 0 | ||
| 200 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1999 | 2.790400e+08 | 0 | ||
| 201 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1998 | 2.758540e+08 | 0 | ||
| 202 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1997 | 2.726570e+08 | 0 | ||
| 203 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1996 | 2.693940e+08 | 0 | ||
| 204 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1995 | 2.662780e+08 | 0 | ||
| 205 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1994 | 2.631260e+08 | 0 | ||
| 206 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1993 | 2.599190e+08 | 0 | ||
| 207 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1992 | 2.565140e+08 | 0 | ||
| 208 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1991 | 2.529810e+08 | 0 | ||
| 209 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1990 | 2.496230e+08 | 0 | ||
| 210 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1989 | 2.468190e+08 | 0 | ||
| 211 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1988 | 2.444990e+08 | 0 | ||
| 212 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1987 | 2.422890e+08 | 0 | ||
| 213 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1986 | 2.401330e+08 | 0 | ||
| 214 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1985 | 2.379240e+08 | 0 | ||
| 215 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1984 | 2.358250e+08 | 0 | ||
| 216 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1983 | 2.337920e+08 | 0 | ||
| 217 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1982 | 2.316640e+08 | 0 | ||
| 218 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1981 | 2.294660e+08 | 0 | ||
| 219 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1980 | 2.272250e+08 | 0 | ||
| 220 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1979 | 2.250550e+08 | 0 | ||
| 221 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1978 | 2.225850e+08 | 0 | ||
| 222 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1977 | 2.202390e+08 | 0 | ||
| 223 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1976 | 2.180350e+08 | 0 | ||
| 224 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1975 | 2.159730e+08 | 0 | ||
| 225 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1974 | 2.138540e+08 | 0 | ||
| 226 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1973 | 2.119090e+08 | 0 | ||
| 227 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1972 | 2.098960e+08 | 0 | ||
| 228 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1971 | 2.076610e+08 | 0 | ||
| 229 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1970 | 2.050520e+08 | 0 | ||
| 230 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1969 | 2.026770e+08 | 0 | ||
| 231 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1968 | 2.007060e+08 | 0 | ||
| 232 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1967 | 1.987120e+08 | 0 | ||
| 233 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1966 | 1.965600e+08 | 0 | ||
| 234 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1965 | 1.943030e+08 | 0 | ||
| 235 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1964 | 1.918890e+08 | 0 | ||
| 236 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1963 | 1.892420e+08 | 0 | ||
| 237 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1962 | 1.865380e+08 | 0 | ||
| 238 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1961 | 1.836910e+08 | 0 | ||
| 239 | {'id': 'SP.POP.TOTL', 'value': 'Population, to... | {'id': 'US', 'value': 'United States'} | USA | 1960 | 1.806710e+08 | 0 |
There are some issues with this dataframe. The country and indicator variables don't look particularly useful in their current form. Again, dealing with those issues would come in the transformation phase of a pipeline, which comes later in the lesson.
Use the Indicators API to request rural population data for Switzerland in the years 1995 through 2001. Here are a few helpful resources:
To find the indicator code, first search for the indicator here: https://data.worldbank.org Click on the indicator name. The indicator code is in the url. For example, the indicator code for total population is SP.POP.TOTL, which you can see in the link https://data.worldbank.org/indicator/SP.RUR.TOTL.
# TODO: get the url ready
url = 'http://api.worldbank.org/v2/countries/ch/indicators/SP.RUR.TOTL/?format=json&per_page=1000&date=1995:2001'
# TODO: send the request
r = requests.get(url)
# TODO: output the json using the json method like in the previous example
pd.DataFrame(r.json()[1])
| indicator | country | countryiso3code | date | value | unit | obs_status | decimal | |
|---|---|---|---|---|---|---|---|---|
| 0 | {'id': 'SP.RUR.TOTL', 'value': 'Rural populati... | {'id': 'CH', 'value': 'Switzerland'} | CHE | 2001 | 1924949 | 0 | ||
| 1 | {'id': 'SP.RUR.TOTL', 'value': 'Rural populati... | {'id': 'CH', 'value': 'Switzerland'} | CHE | 2000 | 1912232 | 0 | ||
| 2 | {'id': 'SP.RUR.TOTL', 'value': 'Rural populati... | {'id': 'CH', 'value': 'Switzerland'} | CHE | 1999 | 1897587 | 0 | ||
| 3 | {'id': 'SP.RUR.TOTL', 'value': 'Rural populati... | {'id': 'CH', 'value': 'Switzerland'} | CHE | 1998 | 1884719 | 0 | ||
| 4 | {'id': 'SP.RUR.TOTL', 'value': 'Rural populati... | {'id': 'CH', 'value': 'Switzerland'} | CHE | 1997 | 1875299 | 0 | ||
| 5 | {'id': 'SP.RUR.TOTL', 'value': 'Rural populati... | {'id': 'CH', 'value': 'Switzerland'} | CHE | 1996 | 1866968 | 0 | ||
| 6 | {'id': 'SP.RUR.TOTL', 'value': 'Rural populati... | {'id': 'CH', 'value': 'Switzerland'} | CHE | 1995 | 1854939 | 0 |
Practice combining data from two different data sets. In the same folder as this Jupyter notebook, there are two csv files:
They both come from the World Bank Indicators data.
The rural populaton data represents the percent of a country's population that is rural over time. The electricity access data shows the percentage of people with access to electricity.
In this exercise, you will combine these two data sets together into one pandas data frame.
Combine the two data sets using the pandas concat method. In other words, find the union of the two data sets.
# TODO: import the pandas library
import pandas as pd
# TODO: read in each csv file into a separate variable
# HINT: remember from the Extract material that these csv file have some formatting issues
# HINT: The file paths are 'rural_population_percent.csv' and 'electricity_access_percent.csv'
df_rural = pd.read_csv('rural_population_percent.csv', header = 2)
df_electricity = pd.read_csv('electricity_access_percent.csv', header = 2)
# TODO: remove the 'Unnamed:62' column from each data set
df_rural.drop(columns = {'Unnamed: 62'},inplace = True)
df_electricity.drop(columns = {'Unnamed: 62'},inplace = True)
# TODO: combine the two data sets together using the concat method
df_all = pd.concat([df_rural, df_electricity], axis = 0, ignore_index = True)
# In other words, all of the rows of df_rural will come first
# followed by all the rows in df_electricity. This is possible to do
# because they both have the same column names.
This exercise is more challenging.
Combine the two datas in the csv file together so that the output looks like the following:
| Country Name | Country Code | Year | Rural_Value | Electricity_Value |
|---|---|---|---|---|
| Aruba | ABW | 1960 | 49.224 | 49.239 |
... etc.
Order the results in the dataframe by country and then by year
Here are a few pandas methods that should be helpful:
HINT: You can use country name, country code, and the year as common keys between the data sets
df_all.head(1)
| Country Name | Country Code | Indicator Name | Indicator Code | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Aruba | ABW | Rural population (% of total population) | SP.RUR.TOTL.ZS | 49.224 | 49.239 | 49.254 | 49.27 | 49.285 | 49.3 | 49.315 | 49.33 | 49.346 | 49.361 | 49.376 | 49.391 | 49.407 | 49.422 | 49.437 | 49.452 | 49.468 | 49.483 | 49.498 | 49.513 | 49.528 | 49.544 | 49.559 | 49.574 | 49.589 | 49.605 | 49.62 | 49.635 | 49.65 | 49.665 | 49.681 | 49.696 | 50.002 | 50.412 | 50.823 | 51.233 | 51.644 | 52.054 | 52.464 | 52.873 | 53.283 | 53.661 | 54.028 | 54.394 | 54.76 | 55.125 | 55.489 | 55.853 | 56.217 | 56.579 | 56.941 | 57.302 | 57.636 | 57.942 | 58.221 | 58.472 | 58.696 | 58.893 |
df_rural.columns
Index(['Country Name', 'Country Code', 'Indicator Name', 'Indicator Code',
'1960', '1961', '1962', '1963', '1964', '1965', '1966', '1967', '1968',
'1969', '1970', '1971', '1972', '1973', '1974', '1975', '1976', '1977',
'1978', '1979', '1980', '1981', '1982', '1983', '1984', '1985', '1986',
'1987', '1988', '1989', '1990', '1991', '1992', '1993', '1994', '1995',
'1996', '1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004',
'2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013',
'2014', '2015', '2016', '2017'],
dtype='object')
# TODO: merge the data sets together according to the instructions. First, use the
# melt method to change the formatting of each data frame so that it looks like this:
# Country Name, Country Code, Year, Rural Value
# Country Name, Country Code, Year, Electricity Value
df_rural = pd.melt(df_rural, id_vars = df_rural.columns[:4],
var_name ='Year', value_name = 'Rural_Value')
df_electricity = pd.melt(df_electricity, id_vars = df_electricity.columns[:4],
var_name ='Year', value_name = 'Electricity_Value')
# TODO: drop any columns from the data frames that aren't needed
df_rural.drop(columns = {'Indicator Name', 'Indicator Code'}, inplace = True)
df_electricity.drop(columns = {'Indicator Name', 'Indicator Code'}, inplace = True)
df_electricity.head()
| Country Name | Country Code | Year | Electricity_Value | |
|---|---|---|---|---|
| 0 | Aruba | ABW | 1960 | NaN |
| 1 | Afghanistan | AFG | 1960 | NaN |
| 2 | Angola | AGO | 1960 | NaN |
| 3 | Albania | ALB | 1960 | NaN |
| 4 | Andorra | AND | 1960 | NaN |
# TODO: merge the data frames together based on their common columns
# in this case, the common columns are Country Name, Country Code, and Year
df_combined = df_rural.merge(df_electricity, on = ['Country Name', 'Country Code', 'Year'],
how = 'outer')
# TODO: sort the results by country and then by year
df_combined = df_combined.sort_values(['Country Name', 'Year'])
df_combined
| Country Name | Country Code | Year | Rural_Value | Electricity_Value | |
|---|---|---|---|---|---|
| 1 | Afghanistan | AFG | 1960 | 91.779000 | NaN |
| 265 | Afghanistan | AFG | 1961 | 91.492000 | NaN |
| 529 | Afghanistan | AFG | 1962 | 91.195000 | NaN |
| 793 | Afghanistan | AFG | 1963 | 90.890000 | NaN |
| 1057 | Afghanistan | AFG | 1964 | 90.574000 | NaN |
| 1321 | Afghanistan | AFG | 1965 | 90.250000 | NaN |
| 1585 | Afghanistan | AFG | 1966 | 89.915000 | NaN |
| 1849 | Afghanistan | AFG | 1967 | 89.570000 | NaN |
| 2113 | Afghanistan | AFG | 1968 | 89.214000 | NaN |
| 2377 | Afghanistan | AFG | 1969 | 88.848000 | NaN |
| 2641 | Afghanistan | AFG | 1970 | 88.471000 | NaN |
| 2905 | Afghanistan | AFG | 1971 | 88.083000 | NaN |
| 3169 | Afghanistan | AFG | 1972 | 87.684000 | NaN |
| 3433 | Afghanistan | AFG | 1973 | 87.274000 | NaN |
| 3697 | Afghanistan | AFG | 1974 | 86.851000 | NaN |
| 3961 | Afghanistan | AFG | 1975 | 86.417000 | NaN |
| 4225 | Afghanistan | AFG | 1976 | 85.971000 | NaN |
| 4489 | Afghanistan | AFG | 1977 | 85.513000 | NaN |
| 4753 | Afghanistan | AFG | 1978 | 85.042000 | NaN |
| 5017 | Afghanistan | AFG | 1979 | 84.565000 | NaN |
| 5281 | Afghanistan | AFG | 1980 | 84.319000 | NaN |
| 5545 | Afghanistan | AFG | 1981 | 84.070000 | NaN |
| 5809 | Afghanistan | AFG | 1982 | 83.818000 | NaN |
| 6073 | Afghanistan | AFG | 1983 | 83.563000 | NaN |
| 6337 | Afghanistan | AFG | 1984 | 83.304000 | NaN |
| 6601 | Afghanistan | AFG | 1985 | 83.042000 | NaN |
| 6865 | Afghanistan | AFG | 1986 | 82.777000 | NaN |
| 7129 | Afghanistan | AFG | 1987 | 82.509000 | NaN |
| 7393 | Afghanistan | AFG | 1988 | 82.237000 | NaN |
| 7657 | Afghanistan | AFG | 1989 | 81.962000 | NaN |
| 7921 | Afghanistan | AFG | 1990 | 81.684000 | 0.010000 |
| 8185 | Afghanistan | AFG | 1991 | 81.403000 | 0.010000 |
| 8449 | Afghanistan | AFG | 1992 | 81.118000 | 0.010000 |
| 8713 | Afghanistan | AFG | 1993 | 80.830000 | 0.010000 |
| 8977 | Afghanistan | AFG | 1994 | 80.538000 | 0.010000 |
| 9241 | Afghanistan | AFG | 1995 | 80.243000 | 0.010000 |
| 9505 | Afghanistan | AFG | 1996 | 79.945000 | 0.010000 |
| 9769 | Afghanistan | AFG | 1997 | 79.644000 | 0.010000 |
| 10033 | Afghanistan | AFG | 1998 | 79.339000 | 0.021977 |
| 10297 | Afghanistan | AFG | 1999 | 79.030000 | 0.179635 |
| 10561 | Afghanistan | AFG | 2000 | 78.718000 | 0.959756 |
| 10825 | Afghanistan | AFG | 2001 | 78.404000 | 0.776537 |
| 11089 | Afghanistan | AFG | 2002 | 78.085000 | 6.267394 |
| 11353 | Afghanistan | AFG | 2003 | 77.763000 | 11.751966 |
| 11617 | Afghanistan | AFG | 2004 | 77.438000 | 17.236319 |
| 11881 | Afghanistan | AFG | 2005 | 77.105000 | 23.000000 |
| 12145 | Afghanistan | AFG | 2006 | 76.763000 | 28.228613 |
| 12409 | Afghanistan | AFG | 2007 | 76.413000 | 33.748680 |
| 12673 | Afghanistan | AFG | 2008 | 76.054000 | 42.400000 |
| 12937 | Afghanistan | AFG | 2009 | 75.687000 | 44.854885 |
| 13201 | Afghanistan | AFG | 2010 | 75.311000 | 42.700000 |
| 13465 | Afghanistan | AFG | 2011 | 74.926000 | 43.222019 |
| 13729 | Afghanistan | AFG | 2012 | 74.532000 | 69.100000 |
| 13993 | Afghanistan | AFG | 2013 | 74.129000 | 67.259552 |
| 14257 | Afghanistan | AFG | 2014 | 73.718000 | 89.500000 |
| 14521 | Afghanistan | AFG | 2015 | 73.297000 | 71.500000 |
| 14785 | Afghanistan | AFG | 2016 | 72.868000 | 84.137138 |
| 15049 | Afghanistan | AFG | 2017 | 72.430000 | NaN |
| 3 | Albania | ALB | 1960 | 69.295000 | NaN |
| 267 | Albania | ALB | 1961 | 69.057000 | NaN |
| 531 | Albania | ALB | 1962 | 68.985000 | NaN |
| 795 | Albania | ALB | 1963 | 68.914000 | NaN |
| 1059 | Albania | ALB | 1964 | 68.842000 | NaN |
| 1323 | Albania | ALB | 1965 | 68.770000 | NaN |
| 1587 | Albania | ALB | 1966 | 68.698000 | NaN |
| 1851 | Albania | ALB | 1967 | 68.626000 | NaN |
| 2115 | Albania | ALB | 1968 | 68.554000 | NaN |
| 2379 | Albania | ALB | 1969 | 68.452000 | NaN |
| 2643 | Albania | ALB | 1970 | 68.260000 | NaN |
| 2907 | Albania | ALB | 1971 | 68.067000 | NaN |
| 3171 | Albania | ALB | 1972 | 67.873000 | NaN |
| 3435 | Albania | ALB | 1973 | 67.679000 | NaN |
| 3699 | Albania | ALB | 1974 | 67.484000 | NaN |
| 3963 | Albania | ALB | 1975 | 67.288000 | NaN |
| 4227 | Albania | ALB | 1976 | 67.092000 | NaN |
| 4491 | Albania | ALB | 1977 | 66.895000 | NaN |
| 4755 | Albania | ALB | 1978 | 66.698000 | NaN |
| 5019 | Albania | ALB | 1979 | 66.500000 | NaN |
| 5283 | Albania | ALB | 1980 | 66.238000 | NaN |
| 5547 | Albania | ALB | 1981 | 65.976000 | NaN |
| 5811 | Albania | ALB | 1982 | 65.713000 | NaN |
| 6075 | Albania | ALB | 1983 | 65.448000 | NaN |
| 6339 | Albania | ALB | 1984 | 65.183000 | NaN |
| 6603 | Albania | ALB | 1985 | 64.917000 | NaN |
| 6867 | Albania | ALB | 1986 | 64.650000 | NaN |
| 7131 | Albania | ALB | 1987 | 64.381000 | NaN |
| 7395 | Albania | ALB | 1988 | 64.112000 | NaN |
| 7659 | Albania | ALB | 1989 | 63.842000 | NaN |
| 7923 | Albania | ALB | 1990 | 63.572000 | 100.000000 |
| 8187 | Albania | ALB | 1991 | 63.300000 | 100.000000 |
| 8451 | Albania | ALB | 1992 | 62.751000 | 100.000000 |
| 8715 | Albania | ALB | 1993 | 62.201000 | 100.000000 |
| 8979 | Albania | ALB | 1994 | 61.646000 | 100.000000 |
| 9243 | Albania | ALB | 1995 | 61.089000 | 100.000000 |
| 9507 | Albania | ALB | 1996 | 60.527000 | 100.000000 |
| 9771 | Albania | ALB | 1997 | 59.965000 | 100.000000 |
| 10035 | Albania | ALB | 1998 | 59.399000 | 100.000000 |
| 10299 | Albania | ALB | 1999 | 58.831000 | 100.000000 |
| 10563 | Albania | ALB | 2000 | 58.259000 | 100.000000 |
| 10827 | Albania | ALB | 2001 | 57.565000 | 100.000000 |
| 11091 | Albania | ALB | 2002 | 56.499000 | 100.000000 |
| 11355 | Albania | ALB | 2003 | 55.427000 | 100.000000 |
| 11619 | Albania | ALB | 2004 | 54.349000 | 100.000000 |
| 11883 | Albania | ALB | 2005 | 53.269000 | 100.000000 |
| 12147 | Albania | ALB | 2006 | 52.185000 | 100.000000 |
| 12411 | Albania | ALB | 2007 | 51.098000 | 100.000000 |
| 12675 | Albania | ALB | 2008 | 50.009000 | 100.000000 |
| 12939 | Albania | ALB | 2009 | 48.924000 | 100.000000 |
| 13203 | Albania | ALB | 2010 | 47.837000 | 100.000000 |
| 13467 | Albania | ALB | 2011 | 46.753000 | 100.000000 |
| 13731 | Albania | ALB | 2012 | 45.670000 | 100.000000 |
| 13995 | Albania | ALB | 2013 | 44.617000 | 100.000000 |
| 14259 | Albania | ALB | 2014 | 43.591000 | 100.000000 |
| 14523 | Albania | ALB | 2015 | 42.593000 | 100.000000 |
| 14787 | Albania | ALB | 2016 | 41.624000 | 100.000000 |
| 15051 | Albania | ALB | 2017 | 40.684000 | NaN |
| 58 | Algeria | DZA | 1960 | 69.490000 | NaN |
| 322 | Algeria | DZA | 1961 | 68.203000 | NaN |
| 586 | Algeria | DZA | 1962 | 66.786000 | NaN |
| 850 | Algeria | DZA | 1963 | 65.338000 | NaN |
| 1114 | Algeria | DZA | 1964 | 63.859000 | NaN |
| 1378 | Algeria | DZA | 1965 | 62.357000 | NaN |
| 1642 | Algeria | DZA | 1966 | 61.160000 | NaN |
| 1906 | Algeria | DZA | 1967 | 60.996000 | NaN |
| 2170 | Algeria | DZA | 1968 | 60.831000 | NaN |
| 2434 | Algeria | DZA | 1969 | 60.666000 | NaN |
| 2698 | Algeria | DZA | 1970 | 60.500000 | NaN |
| 2962 | Algeria | DZA | 1971 | 60.335000 | NaN |
| 3226 | Algeria | DZA | 1972 | 60.169000 | NaN |
| 3490 | Algeria | DZA | 1973 | 60.003000 | NaN |
| 3754 | Algeria | DZA | 1974 | 59.837000 | NaN |
| 4018 | Algeria | DZA | 1975 | 59.670000 | NaN |
| 4282 | Algeria | DZA | 1976 | 59.503000 | NaN |
| 4546 | Algeria | DZA | 1977 | 59.072000 | NaN |
| 4810 | Algeria | DZA | 1978 | 58.206000 | NaN |
| 5074 | Algeria | DZA | 1979 | 57.335000 | NaN |
| 5338 | Algeria | DZA | 1980 | 56.458000 | NaN |
| 5602 | Algeria | DZA | 1981 | 55.580000 | NaN |
| 5866 | Algeria | DZA | 1982 | 54.697000 | NaN |
| 6130 | Algeria | DZA | 1983 | 53.811000 | NaN |
| 6394 | Algeria | DZA | 1984 | 52.921000 | NaN |
| 6658 | Algeria | DZA | 1985 | 52.032000 | NaN |
| 6922 | Algeria | DZA | 1986 | 51.140000 | NaN |
| 7186 | Algeria | DZA | 1987 | 50.278000 | NaN |
| 7450 | Algeria | DZA | 1988 | 49.489000 | NaN |
| 7714 | Algeria | DZA | 1989 | 48.702000 | NaN |
| 7978 | Algeria | DZA | 1990 | 47.915000 | 98.271378 |
| 8242 | Algeria | DZA | 1991 | 47.129000 | 98.377769 |
| 8506 | Algeria | DZA | 1992 | 46.343000 | 98.483658 |
| 8770 | Algeria | DZA | 1993 | 45.561000 | 98.586479 |
| 9034 | Algeria | DZA | 1994 | 44.781000 | 98.683189 |
| 9298 | Algeria | DZA | 1995 | 44.003000 | 98.770714 |
| 9562 | Algeria | DZA | 1996 | 43.226000 | 98.846008 |
| 9826 | Algeria | DZA | 1997 | 42.456000 | 98.906006 |
| 10090 | Algeria | DZA | 1998 | 41.687000 | 98.947647 |
| 10354 | Algeria | DZA | 1999 | 40.882000 | 98.967880 |
| 10618 | Algeria | DZA | 2000 | 40.081000 | 98.965157 |
| 10882 | Algeria | DZA | 2001 | 39.288000 | 98.944023 |
| 11146 | Algeria | DZA | 2002 | 38.499000 | 98.910538 |
| 11410 | Algeria | DZA | 2003 | 37.716000 | 98.870773 |
| 11674 | Algeria | DZA | 2004 | 36.939000 | 98.830788 |
| 11938 | Algeria | DZA | 2005 | 36.170000 | 98.796646 |
| 12202 | Algeria | DZA | 2006 | 35.407000 | 98.774414 |
| 12466 | Algeria | DZA | 2007 | 34.652000 | 98.770142 |
| 12730 | Algeria | DZA | 2008 | 33.903000 | 99.300000 |
| 12994 | Algeria | DZA | 2009 | 33.178000 | 98.827675 |
| 13258 | Algeria | DZA | 2010 | 32.474000 | 98.884972 |
| 13522 | Algeria | DZA | 2011 | 31.791000 | 98.957298 |
| 13786 | Algeria | DZA | 2012 | 31.130000 | 98.764660 |
| 14050 | Algeria | DZA | 2013 | 30.490000 | 99.134987 |
| 14314 | Algeria | DZA | 2014 | 29.871000 | 99.234344 |
| 14578 | Algeria | DZA | 2015 | 29.273000 | 99.336708 |
| 14842 | Algeria | DZA | 2016 | 28.696000 | 99.439568 |
| 15106 | Algeria | DZA | 2017 | 28.139000 | NaN |
| 9 | American Samoa | ASM | 1960 | 33.789000 | NaN |
| 273 | American Samoa | ASM | 1961 | 33.359000 | NaN |
| 537 | American Samoa | ASM | 1962 | 32.932000 | NaN |
| 801 | American Samoa | ASM | 1963 | 32.507000 | NaN |
| 1065 | American Samoa | ASM | 1964 | 32.084000 | NaN |
| 1329 | American Samoa | ASM | 1965 | 31.666000 | NaN |
| 1593 | American Samoa | ASM | 1966 | 31.250000 | NaN |
| 1857 | American Samoa | ASM | 1967 | 30.837000 | NaN |
| 2121 | American Samoa | ASM | 1968 | 30.426000 | NaN |
| 2385 | American Samoa | ASM | 1969 | 30.020000 | NaN |
| 2649 | American Samoa | ASM | 1970 | 29.616000 | NaN |
| 2913 | American Samoa | ASM | 1971 | 29.216000 | NaN |
| 3177 | American Samoa | ASM | 1972 | 28.818000 | NaN |
| 3441 | American Samoa | ASM | 1973 | 28.424000 | NaN |
| 3705 | American Samoa | ASM | 1974 | 28.033000 | NaN |
| 3969 | American Samoa | ASM | 1975 | 27.646000 | NaN |
| 4233 | American Samoa | ASM | 1976 | 27.261000 | NaN |
| 4497 | American Samoa | ASM | 1977 | 26.880000 | NaN |
| 4761 | American Samoa | ASM | 1978 | 26.503000 | NaN |
| 5025 | American Samoa | ASM | 1979 | 26.129000 | NaN |
| 5289 | American Samoa | ASM | 1980 | 25.670000 | NaN |
| 5553 | American Samoa | ASM | 1981 | 24.957000 | NaN |
| 5817 | American Samoa | ASM | 1982 | 24.257000 | NaN |
| 6081 | American Samoa | ASM | 1983 | 23.571000 | NaN |
| 6345 | American Samoa | ASM | 1984 | 22.897000 | NaN |
| 6609 | American Samoa | ASM | 1985 | 22.238000 | NaN |
| 6873 | American Samoa | ASM | 1986 | 21.592000 | NaN |
| 7137 | American Samoa | ASM | 1987 | 20.960000 | NaN |
| 7401 | American Samoa | ASM | 1988 | 20.341000 | NaN |
| 7665 | American Samoa | ASM | 1989 | 19.737000 | NaN |
| 7929 | American Samoa | ASM | 1990 | 19.052000 | NaN |
| 8193 | American Samoa | ASM | 1991 | 18.114000 | NaN |
| 8457 | American Samoa | ASM | 1992 | 17.211000 | NaN |
| 8721 | American Samoa | ASM | 1993 | 16.346000 | NaN |
| 8985 | American Samoa | ASM | 1994 | 15.515000 | NaN |
| 9249 | American Samoa | ASM | 1995 | 14.720000 | NaN |
| 9513 | American Samoa | ASM | 1996 | 13.957000 | NaN |
| 9777 | American Samoa | ASM | 1997 | 13.229000 | NaN |
| 10041 | American Samoa | ASM | 1998 | 12.533000 | NaN |
| 10305 | American Samoa | ASM | 1999 | 11.869000 | NaN |
| 10569 | American Samoa | ASM | 2000 | 11.413000 | NaN |
| 10833 | American Samoa | ASM | 2001 | 11.509000 | NaN |
| 11097 | American Samoa | ASM | 2002 | 11.606000 | NaN |
| 11361 | American Samoa | ASM | 2003 | 11.703000 | NaN |
| 11625 | American Samoa | ASM | 2004 | 11.802000 | NaN |
| 11889 | American Samoa | ASM | 2005 | 11.900000 | NaN |
| 12153 | American Samoa | ASM | 2006 | 12.000000 | NaN |
| 12417 | American Samoa | ASM | 2007 | 12.100000 | NaN |
| 12681 | American Samoa | ASM | 2008 | 12.201000 | NaN |
| 12945 | American Samoa | ASM | 2009 | 12.303000 | NaN |
| 13209 | American Samoa | ASM | 2010 | 12.406000 | NaN |
| 13473 | American Samoa | ASM | 2011 | 12.500000 | NaN |
| 13737 | American Samoa | ASM | 2012 | 12.587000 | NaN |
| 14001 | American Samoa | ASM | 2013 | 12.666000 | NaN |
| 14265 | American Samoa | ASM | 2014 | 12.736000 | NaN |
| 14529 | American Samoa | ASM | 2015 | 12.798000 | NaN |
| 14793 | American Samoa | ASM | 2016 | 12.852000 | NaN |
| 15057 | American Samoa | ASM | 2017 | 12.897000 | NaN |
| 4 | Andorra | AND | 1960 | 41.550000 | NaN |
| 268 | Andorra | AND | 1961 | 39.017000 | NaN |
| 532 | Andorra | AND | 1962 | 36.538000 | NaN |
| 796 | Andorra | AND | 1963 | 34.128000 | NaN |
| 1060 | Andorra | AND | 1964 | 31.795000 | NaN |
| 1324 | Andorra | AND | 1965 | 29.555000 | NaN |
| 1588 | Andorra | AND | 1966 | 27.407000 | NaN |
| 1852 | Andorra | AND | 1967 | 25.359000 | NaN |
| 2116 | Andorra | AND | 1968 | 23.412000 | NaN |
| 2380 | Andorra | AND | 1969 | 21.576000 | NaN |
| 2644 | Andorra | AND | 1970 | 19.845000 | NaN |
| 2908 | Andorra | AND | 1971 | 18.220000 | NaN |
| 3172 | Andorra | AND | 1972 | 16.699000 | NaN |
| 3436 | Andorra | AND | 1973 | 15.284000 | NaN |
| 3700 | Andorra | AND | 1974 | 13.968000 | NaN |
| 3964 | Andorra | AND | 1975 | 12.748000 | NaN |
| 4228 | Andorra | AND | 1976 | 11.618000 | NaN |
| 4492 | Andorra | AND | 1977 | 10.580000 | NaN |
| 4756 | Andorra | AND | 1978 | 9.622000 | NaN |
| 5020 | Andorra | AND | 1979 | 8.743000 | NaN |
| 5284 | Andorra | AND | 1980 | 7.936000 | NaN |
| 5548 | Andorra | AND | 1981 | 7.200000 | NaN |
| 5812 | Andorra | AND | 1982 | 6.526000 | NaN |
| 6076 | Andorra | AND | 1983 | 5.911000 | NaN |
| 6340 | Andorra | AND | 1984 | 5.351000 | NaN |
| 6604 | Andorra | AND | 1985 | 4.841000 | NaN |
| 6868 | Andorra | AND | 1986 | 4.675000 | NaN |
| 7132 | Andorra | AND | 1987 | 4.822000 | NaN |
| 7396 | Andorra | AND | 1988 | 4.973000 | NaN |
| 7660 | Andorra | AND | 1989 | 5.128000 | NaN |
| 7924 | Andorra | AND | 1990 | 5.288000 | 100.000000 |
| 8188 | Andorra | AND | 1991 | 5.470000 | 100.000000 |
| 8452 | Andorra | AND | 1992 | 5.676000 | 100.000000 |
| 8716 | Andorra | AND | 1993 | 5.889000 | 100.000000 |
| 8980 | Andorra | AND | 1994 | 6.110000 | 100.000000 |
| 9244 | Andorra | AND | 1995 | 6.339000 | 100.000000 |
| 9508 | Andorra | AND | 1996 | 6.575000 | 100.000000 |
| 9772 | Andorra | AND | 1997 | 6.820000 | 100.000000 |
| 10036 | Andorra | AND | 1998 | 7.073000 | 100.000000 |
| 10300 | Andorra | AND | 1999 | 7.334000 | 100.000000 |
| 10564 | Andorra | AND | 2000 | 7.605000 | 100.000000 |
| 10828 | Andorra | AND | 2001 | 7.944000 | 100.000000 |
| 11092 | Andorra | AND | 2002 | 8.359000 | 100.000000 |
| 11356 | Andorra | AND | 2003 | 8.793000 | 100.000000 |
| 11620 | Andorra | AND | 2004 | 9.249000 | 100.000000 |
| 11884 | Andorra | AND | 2005 | 9.705000 | 100.000000 |
| 12148 | Andorra | AND | 2006 | 10.162000 | 100.000000 |
| 12412 | Andorra | AND | 2007 | 10.637000 | 100.000000 |
| 12676 | Andorra | AND | 2008 | 11.133000 | 100.000000 |
| 12940 | Andorra | AND | 2009 | 11.648000 | 100.000000 |
| 13204 | Andorra | AND | 2010 | 12.183000 | 100.000000 |
| 13468 | Andorra | AND | 2011 | 12.740000 | 100.000000 |
| 13732 | Andorra | AND | 2012 | 13.292000 | 100.000000 |
| 13996 | Andorra | AND | 2013 | 13.835000 | 100.000000 |
| 14260 | Andorra | AND | 2014 | 14.367000 | 100.000000 |
| 14524 | Andorra | AND | 2015 | 14.885000 | 100.000000 |
| 14788 | Andorra | AND | 2016 | 15.388000 | 100.000000 |
| 15052 | Andorra | AND | 2017 | 15.873000 | NaN |
| 2 | Angola | AGO | 1960 | 89.565000 | NaN |
| 266 | Angola | AGO | 1961 | 89.202000 | NaN |
| 530 | Angola | AGO | 1962 | 88.796000 | NaN |
| 794 | Angola | AGO | 1963 | 88.376000 | NaN |
| 1058 | Angola | AGO | 1964 | 87.942000 | NaN |
| 1322 | Angola | AGO | 1965 | 87.496000 | NaN |
| 1586 | Angola | AGO | 1966 | 87.035000 | NaN |
| 1850 | Angola | AGO | 1967 | 86.559000 | NaN |
| 2114 | Angola | AGO | 1968 | 86.068000 | NaN |
| 2378 | Angola | AGO | 1969 | 85.564000 | NaN |
| 2642 | Angola | AGO | 1970 | 85.043000 | NaN |
| 2906 | Angola | AGO | 1971 | 84.566000 | NaN |
| 3170 | Angola | AGO | 1972 | 84.125000 | NaN |
| 3434 | Angola | AGO | 1973 | 83.676000 | NaN |
| 3698 | Angola | AGO | 1974 | 83.215000 | NaN |
| 3962 | Angola | AGO | 1975 | 82.745000 | NaN |
| 4226 | Angola | AGO | 1976 | 82.263000 | NaN |
| 4490 | Angola | AGO | 1977 | 81.772000 | NaN |
| 4754 | Angola | AGO | 1978 | 81.270000 | NaN |
| 5018 | Angola | AGO | 1979 | 80.758000 | NaN |
| 5282 | Angola | AGO | 1980 | 80.234000 | NaN |
| 5546 | Angola | AGO | 1981 | 79.701000 | NaN |
| 5810 | Angola | AGO | 1982 | 79.157000 | NaN |
| 6074 | Angola | AGO | 1983 | 78.602000 | NaN |
| 6338 | Angola | AGO | 1984 | 78.035000 | NaN |
| 6602 | Angola | AGO | 1985 | 77.459000 | NaN |
| 6866 | Angola | AGO | 1986 | 76.872000 | NaN |
| 7130 | Angola | AGO | 1987 | 76.275000 | NaN |
| 7394 | Angola | AGO | 1988 | 75.666000 | NaN |
| 7658 | Angola | AGO | 1989 | 75.048000 | NaN |
| 7922 | Angola | AGO | 1990 | 74.418000 | 11.397808 |
| 8186 | Angola | AGO | 1991 | 73.779000 | 12.579379 |
| 8450 | Angola | AGO | 1992 | 73.128000 | 13.760440 |
| 8714 | Angola | AGO | 1993 | 72.470000 | 14.938441 |
| 8978 | Angola | AGO | 1994 | 71.800000 | 16.110325 |
| 9242 | Angola | AGO | 1995 | 71.120000 | 17.273031 |
| 9506 | Angola | AGO | 1996 | 70.430000 | 18.423502 |
| 9770 | Angola | AGO | 1997 | 69.732000 | 19.558676 |
| 10034 | Angola | AGO | 1998 | 69.025000 | 20.675495 |
| 10298 | Angola | AGO | 1999 | 68.308000 | 21.770901 |
| 10562 | Angola | AGO | 2000 | 67.581000 | 22.843355 |
| 10826 | Angola | AGO | 2001 | 66.848000 | 20.000000 |
| 11090 | Angola | AGO | 2002 | 66.105000 | 24.939095 |
| 11354 | Angola | AGO | 2003 | 65.355000 | 25.974508 |
| 11618 | Angola | AGO | 2004 | 64.595000 | 27.009701 |
| 11882 | Angola | AGO | 2005 | 63.831000 | 28.050735 |
| 12146 | Angola | AGO | 2006 | 63.058000 | 29.103676 |
| 12410 | Angola | AGO | 2007 | 62.278000 | 37.500000 |
| 12674 | Angola | AGO | 2008 | 61.491000 | 31.268013 |
| 12938 | Angola | AGO | 2009 | 60.701000 | 32.382469 |
| 13202 | Angola | AGO | 2010 | 59.903000 | 33.514950 |
| 13466 | Angola | AGO | 2011 | 59.100000 | 34.600000 |
| 13730 | Angola | AGO | 2012 | 58.301000 | 35.821964 |
| 13994 | Angola | AGO | 2013 | 57.510000 | 36.990490 |
| 14258 | Angola | AGO | 2014 | 56.726000 | 32.000000 |
| 14522 | Angola | AGO | 2015 | 55.950000 | 42.000000 |
| 14786 | Angola | AGO | 2016 | 55.181000 | 40.520607 |
| 15050 | Angola | AGO | 2017 | 54.422000 | NaN |
| 10 | Antigua and Barbuda | ATG | 1960 | 60.344000 | NaN |
| 274 | Antigua and Barbuda | ATG | 1961 | 60.960000 | NaN |
| 538 | Antigua and Barbuda | ATG | 1962 | 61.573000 | NaN |
| 802 | Antigua and Barbuda | ATG | 1963 | 62.183000 | NaN |
| 1066 | Antigua and Barbuda | ATG | 1964 | 62.789000 | NaN |
| 1330 | Antigua and Barbuda | ATG | 1965 | 63.390000 | NaN |
| 1594 | Antigua and Barbuda | ATG | 1966 | 63.988000 | NaN |
| 1858 | Antigua and Barbuda | ATG | 1967 | 64.582000 | NaN |
| 2122 | Antigua and Barbuda | ATG | 1968 | 65.171000 | NaN |
| 2386 | Antigua and Barbuda | ATG | 1969 | 65.755000 | NaN |
| 2650 | Antigua and Barbuda | ATG | 1970 | 66.181000 | NaN |
| 2914 | Antigua and Barbuda | ATG | 1971 | 66.102000 | NaN |
| 3178 | Antigua and Barbuda | ATG | 1972 | 66.022000 | NaN |
| 3442 | Antigua and Barbuda | ATG | 1973 | 65.943000 | NaN |
| 3706 | Antigua and Barbuda | ATG | 1974 | 65.863000 | NaN |
| 3970 | Antigua and Barbuda | ATG | 1975 | 65.783000 | NaN |
| 4234 | Antigua and Barbuda | ATG | 1976 | 65.703000 | NaN |
| 4498 | Antigua and Barbuda | ATG | 1977 | 65.623000 | NaN |
| 4762 | Antigua and Barbuda | ATG | 1978 | 65.543000 | NaN |
| 5026 | Antigua and Barbuda | ATG | 1979 | 65.462000 | NaN |
| 5290 | Antigua and Barbuda | ATG | 1980 | 65.382000 | NaN |
| 5554 | Antigua and Barbuda | ATG | 1981 | 65.302000 | NaN |
| 5818 | Antigua and Barbuda | ATG | 1982 | 65.221000 | NaN |
| 6082 | Antigua and Barbuda | ATG | 1983 | 65.140000 | NaN |
| 6346 | Antigua and Barbuda | ATG | 1984 | 65.060000 | NaN |
| 6610 | Antigua and Barbuda | ATG | 1985 | 64.979000 | NaN |
| 6874 | Antigua and Barbuda | ATG | 1986 | 64.898000 | NaN |
| 7138 | Antigua and Barbuda | ATG | 1987 | 64.817000 | NaN |
| 7402 | Antigua and Barbuda | ATG | 1988 | 64.736000 | NaN |
| 7666 | Antigua and Barbuda | ATG | 1989 | 64.655000 | NaN |
| 7930 | Antigua and Barbuda | ATG | 1990 | 64.574000 | 85.123199 |
| 8194 | Antigua and Barbuda | ATG | 1991 | 64.535000 | 85.655106 |
| 8458 | Antigua and Barbuda | ATG | 1992 | 64.915000 | 86.186501 |
| 8722 | Antigua and Barbuda | ATG | 1993 | 65.291000 | 86.714836 |
| 8986 | Antigua and Barbuda | ATG | 1994 | 65.666000 | 87.237053 |
| 9250 | Antigua and Barbuda | ATG | 1995 | 66.039000 | 87.750092 |
| 9514 | Antigua and Barbuda | ATG | 1996 | 66.410000 | 88.250893 |
| 9778 | Antigua and Barbuda | ATG | 1997 | 66.779000 | 88.736404 |
| 10042 | Antigua and Barbuda | ATG | 1998 | 67.145000 | 89.203552 |
| 10306 | Antigua and Barbuda | ATG | 1999 | 67.510000 | 89.649292 |
| 10570 | Antigua and Barbuda | ATG | 2000 | 67.873000 | 90.072083 |
| 10834 | Antigua and Barbuda | ATG | 2001 | 68.260000 | 90.476456 |
| 11098 | Antigua and Barbuda | ATG | 2002 | 68.901000 | 90.868484 |
| 11362 | Antigua and Barbuda | ATG | 2003 | 69.535000 | 91.254234 |
| 11626 | Antigua and Barbuda | ATG | 2004 | 70.163000 | 91.639763 |
| 11890 | Antigua and Barbuda | ATG | 2005 | 70.781000 | 92.200000 |
| 12154 | Antigua and Barbuda | ATG | 2006 | 71.393000 | 92.434402 |
| 12418 | Antigua and Barbuda | ATG | 2007 | 71.997000 | 92.855644 |
| 12682 | Antigua and Barbuda | ATG | 2008 | 72.594000 | 93.299408 |
| 12946 | Antigua and Barbuda | ATG | 2009 | 73.181000 | 93.764198 |
| 13210 | Antigua and Barbuda | ATG | 2010 | 73.761000 | 94.247009 |
| 13474 | Antigua and Barbuda | ATG | 2011 | 74.333000 | 94.552014 |
| 13738 | Antigua and Barbuda | ATG | 2012 | 74.865000 | 95.254692 |
| 14002 | Antigua and Barbuda | ATG | 2013 | 75.357000 | 95.773552 |
| 14266 | Antigua and Barbuda | ATG | 2014 | 75.810000 | 96.298416 |
| 14530 | Antigua and Barbuda | ATG | 2015 | 76.227000 | 96.826294 |
| 14794 | Antigua and Barbuda | ATG | 2016 | 76.607000 | 97.354668 |
| 15058 | Antigua and Barbuda | ATG | 2017 | 76.953000 | NaN |
| 5 | Arab World | ARB | 1960 | 68.708026 | NaN |
| 269 | Arab World | ARB | 1961 | 67.965580 | NaN |
| 533 | Arab World | ARB | 1962 | 67.219820 | NaN |
| 797 | Arab World | ARB | 1963 | 66.450960 | NaN |
| 1061 | Arab World | ARB | 1964 | 65.652964 | NaN |
| 1325 | Arab World | ARB | 1965 | 64.813430 | NaN |
| 1589 | Arab World | ARB | 1966 | 64.016470 | NaN |
| 1853 | Arab World | ARB | 1967 | 63.330976 | NaN |
| 2117 | Arab World | ARB | 1968 | 62.633816 | NaN |
| 2381 | Arab World | ARB | 1969 | 61.926773 | NaN |
| 2645 | Arab World | ARB | 1970 | 61.206708 | NaN |
| 2909 | Arab World | ARB | 1971 | 60.499461 | NaN |
| 3173 | Arab World | ARB | 1972 | 59.769403 | NaN |
| 3437 | Arab World | ARB | 1973 | 59.049398 | NaN |
| 3701 | Arab World | ARB | 1974 | 58.403283 | NaN |
| 3965 | Arab World | ARB | 1975 | 57.800122 | NaN |
| 4229 | Arab World | ARB | 1976 | 57.234668 | NaN |
| 4493 | Arab World | ARB | 1977 | 56.718639 | NaN |
| 4757 | Arab World | ARB | 1978 | 56.216712 | NaN |
| 5021 | Arab World | ARB | 1979 | 55.714693 | NaN |
| 5285 | Arab World | ARB | 1980 | 55.183412 | NaN |
| 5549 | Arab World | ARB | 1981 | 54.628378 | NaN |
| 5813 | Arab World | ARB | 1982 | 54.065297 | NaN |
| 6077 | Arab World | ARB | 1983 | 53.469930 | NaN |
| 6341 | Arab World | ARB | 1984 | 52.833493 | NaN |
| 6605 | Arab World | ARB | 1985 | 52.222619 | NaN |
| 6869 | Arab World | ARB | 1986 | 51.621277 | NaN |
| 7133 | Arab World | ARB | 1987 | 51.087899 | NaN |
| 7397 | Arab World | ARB | 1988 | 50.634111 | NaN |
| 7661 | Arab World | ARB | 1989 | 50.228525 | NaN |
| 7925 | Arab World | ARB | 1990 | 49.681989 | 74.384239 |
| 8189 | Arab World | ARB | 1991 | 49.299600 | 74.382220 |
| 8453 | Arab World | ARB | 1992 | 49.309248 | 74.313160 |
| 8717 | Arab World | ARB | 1993 | 48.943782 | 75.349325 |
| 8981 | Arab World | ARB | 1994 | 48.688994 | 75.788522 |
| 9245 | Arab World | ARB | 1995 | 48.199830 | 76.214138 |
| 9509 | Arab World | ARB | 1996 | 48.022919 | 77.205150 |
| 9773 | Arab World | ARB | 1997 | 47.807021 | 77.573730 |
| 10037 | Arab World | ARB | 1998 | 47.557254 | 78.395511 |
| 10301 | Arab World | ARB | 1999 | 47.296086 | 78.965532 |
| 10565 | Arab World | ARB | 2000 | 47.031522 | 78.762330 |
| 10829 | Arab World | ARB | 2001 | 46.767023 | 80.149257 |
| 11093 | Arab World | ARB | 2002 | 46.499269 | 80.359978 |
| 11357 | Arab World | ARB | 2003 | 46.222564 | 81.354788 |
| 11621 | Arab World | ARB | 2004 | 45.927038 | 82.662402 |
| 11885 | Arab World | ARB | 2005 | 45.598312 | 83.687576 |
| 12149 | Arab World | ARB | 2006 | 45.244181 | 85.800296 |
| 12413 | Arab World | ARB | 2007 | 44.883295 | 84.735723 |
| 12677 | Arab World | ARB | 2008 | 44.518882 | 85.432827 |
| 12941 | Arab World | ARB | 2009 | 44.156769 | 85.189815 |
| 13205 | Arab World | ARB | 2010 | 43.804530 | 86.136134 |
| 13469 | Arab World | ARB | 2011 | 43.463488 | 86.782683 |
| 13733 | Arab World | ARB | 2012 | 43.128649 | 87.288244 |
| 13997 | Arab World | ARB | 2013 | 42.803731 | 88.389705 |
| 14261 | Arab World | ARB | 2014 | 42.491260 | 88.076774 |
| 14525 | Arab World | ARB | 2015 | 42.191790 | 88.517967 |
| 14789 | Arab World | ARB | 2016 | 41.906071 | 88.768654 |
| 15053 | Arab World | ARB | 2017 | 41.631967 | NaN |
| 7 | Argentina | ARG | 1960 | 26.389000 | NaN |
| 271 | Argentina | ARG | 1961 | 25.783000 | NaN |
| 535 | Argentina | ARG | 1962 | 25.233000 | NaN |
| 799 | Argentina | ARG | 1963 | 24.691000 | NaN |
| 1063 | Argentina | ARG | 1964 | 24.156000 | NaN |
| 1327 | Argentina | ARG | 1965 | 23.631000 | NaN |
| 1591 | Argentina | ARG | 1966 | 23.112000 | NaN |
| 1855 | Argentina | ARG | 1967 | 22.602000 | NaN |
| 2119 | Argentina | ARG | 1968 | 22.099000 | NaN |
| 2383 | Argentina | ARG | 1969 | 21.606000 | NaN |
| 2647 | Argentina | ARG | 1970 | 21.120000 | NaN |
| 2911 | Argentina | ARG | 1971 | 20.679000 | NaN |
| 3175 | Argentina | ARG | 1972 | 20.257000 | NaN |
| 3439 | Argentina | ARG | 1973 | 19.842000 | NaN |
| 3703 | Argentina | ARG | 1974 | 19.433000 | NaN |
| 3967 | Argentina | ARG | 1975 | 19.031000 | NaN |
| 4231 | Argentina | ARG | 1976 | 18.634000 | NaN |
| 4495 | Argentina | ARG | 1977 | 18.245000 | NaN |
| 4759 | Argentina | ARG | 1978 | 17.861000 | NaN |
| 5023 | Argentina | ARG | 1979 | 17.484000 | NaN |
| 5287 | Argentina | ARG | 1980 | 17.113000 | NaN |
| 5551 | Argentina | ARG | 1981 | 16.687000 | NaN |
| 5815 | Argentina | ARG | 1982 | 16.241000 | NaN |
| 6079 | Argentina | ARG | 1983 | 15.806000 | NaN |
| 6343 | Argentina | ARG | 1984 | 15.379000 | NaN |
| 6607 | Argentina | ARG | 1985 | 14.962000 | NaN |
| 6871 | Argentina | ARG | 1986 | 14.555000 | NaN |
| 7135 | Argentina | ARG | 1987 | 14.157000 | NaN |
| 7399 | Argentina | ARG | 1988 | 13.767000 | NaN |
| 7663 | Argentina | ARG | 1989 | 13.387000 | NaN |
| 7927 | Argentina | ARG | 1990 | 13.016000 | 90.640823 |
| 8191 | Argentina | ARG | 1991 | 12.672000 | 91.123672 |
| 8455 | Argentina | ARG | 1992 | 12.458000 | 91.606018 |
| 8719 | Argentina | ARG | 1993 | 12.248000 | 92.085304 |
| 8983 | Argentina | ARG | 1994 | 12.040000 | 92.558472 |
| 9247 | Argentina | ARG | 1995 | 11.836000 | 93.022461 |
| 9511 | Argentina | ARG | 1996 | 11.634000 | 93.474213 |
| 9775 | Argentina | ARG | 1997 | 11.436000 | 93.910675 |
| 10039 | Argentina | ARG | 1998 | 11.241000 | 94.328773 |
| 10303 | Argentina | ARG | 1999 | 11.048000 | 94.725464 |
| 10567 | Argentina | ARG | 2000 | 10.858000 | 95.099205 |
| 10831 | Argentina | ARG | 2001 | 10.671000 | 95.511063 |
| 11095 | Argentina | ARG | 2002 | 10.481000 | 95.797508 |
| 11359 | Argentina | ARG | 2003 | 10.290000 | 96.134209 |
| 11623 | Argentina | ARG | 2004 | 10.101000 | 96.470680 |
| 11887 | Argentina | ARG | 2005 | 9.916000 | 96.812996 |
| 12151 | Argentina | ARG | 2006 | 9.734000 | 97.167221 |
| 12415 | Argentina | ARG | 2007 | 9.555000 | 97.539413 |
| 12679 | Argentina | ARG | 2008 | 9.378000 | 97.934128 |
| 12943 | Argentina | ARG | 2009 | 9.205000 | 98.363365 |
| 13207 | Argentina | ARG | 2010 | 9.034000 | 98.820000 |
| 13471 | Argentina | ARG | 2011 | 8.867000 | 99.216164 |
| 13735 | Argentina | ARG | 2012 | 8.705000 | 99.584412 |
| 13999 | Argentina | ARG | 2013 | 8.548000 | 99.837128 |
| 14263 | Argentina | ARG | 2014 | 8.396000 | 99.959244 |
| 14527 | Argentina | ARG | 2015 | 8.249000 | 99.995209 |
| 14791 | Argentina | ARG | 2016 | 8.107000 | 100.000000 |
| 15055 | Argentina | ARG | 2017 | 7.970000 | NaN |
| 8 | Armenia | ARM | 1960 | 48.725000 | NaN |
| 272 | Armenia | ARM | 1961 | 47.853000 | NaN |
| 536 | Armenia | ARM | 1962 | 46.981000 | NaN |
| 800 | Armenia | ARM | 1963 | 46.111000 | NaN |
| 1064 | Armenia | ARM | 1964 | 45.242000 | NaN |
| 1328 | Armenia | ARM | 1965 | 44.378000 | NaN |
| 1592 | Armenia | ARM | 1966 | 43.517000 | NaN |
| 1856 | Armenia | ARM | 1967 | 42.659000 | NaN |
| 2120 | Armenia | ARM | 1968 | 41.805000 | NaN |
| 2384 | Armenia | ARM | 1969 | 40.958000 | NaN |
| 2648 | Armenia | ARM | 1970 | 40.136000 | NaN |
| 2912 | Armenia | ARM | 1971 | 39.343000 | NaN |
| 3176 | Armenia | ARM | 1972 | 38.555000 | NaN |
| 3440 | Armenia | ARM | 1973 | 37.775000 | NaN |
| 3704 | Armenia | ARM | 1974 | 37.000000 | NaN |
| 3968 | Armenia | ARM | 1975 | 36.389000 | NaN |
| 4232 | Armenia | ARM | 1976 | 35.781000 | NaN |
| 4496 | Armenia | ARM | 1977 | 35.179000 | NaN |
| 4760 | Armenia | ARM | 1978 | 34.581000 | NaN |
| 5024 | Armenia | ARM | 1979 | 34.161000 | NaN |
| 5288 | Armenia | ARM | 1980 | 33.950000 | NaN |
| 5552 | Armenia | ARM | 1981 | 33.741000 | NaN |
| 5816 | Armenia | ARM | 1982 | 33.533000 | NaN |
| 6080 | Armenia | ARM | 1983 | 33.325000 | NaN |
| 6344 | Armenia | ARM | 1984 | 33.117000 | NaN |
| 6608 | Armenia | ARM | 1985 | 32.910000 | NaN |
| 6872 | Armenia | ARM | 1986 | 32.704000 | NaN |
| 7136 | Armenia | ARM | 1987 | 32.499000 | NaN |
| 7400 | Armenia | ARM | 1988 | 32.294000 | NaN |
| 7664 | Armenia | ARM | 1989 | 32.310000 | NaN |
| 7928 | Armenia | ARM | 1990 | 32.579000 | 97.680374 |
| 8192 | Armenia | ARM | 1991 | 32.850000 | 97.853592 |
| 8456 | Armenia | ARM | 1992 | 33.122000 | 98.023895 |
| 8720 | Armenia | ARM | 1993 | 33.394000 | 98.191345 |
| 8984 | Armenia | ARM | 1994 | 33.668000 | 98.352600 |
| 9248 | Armenia | ARM | 1995 | 33.943000 | 98.504654 |
| 9512 | Armenia | ARM | 1996 | 34.219000 | 98.644470 |
| 9776 | Armenia | ARM | 1997 | 34.496000 | 98.769028 |
| 10040 | Armenia | ARM | 1998 | 34.774000 | 98.875504 |
| 10304 | Armenia | ARM | 1999 | 35.053000 | 98.962067 |
| 10568 | Armenia | ARM | 2000 | 35.334000 | 98.900000 |
| 10832 | Armenia | ARM | 2001 | 35.615000 | 100.000000 |
| 11096 | Armenia | ARM | 2002 | 35.717000 | 98.000000 |
| 11360 | Armenia | ARM | 2003 | 35.750000 | 99.148315 |
| 11624 | Armenia | ARM | 2004 | 35.783000 | 99.179695 |
| 11888 | Armenia | ARM | 2005 | 35.816000 | 99.800000 |
| 12152 | Armenia | ARM | 2006 | 35.850000 | 99.265732 |
| 12416 | Armenia | ARM | 2007 | 35.883000 | 99.331039 |
| 12680 | Armenia | ARM | 2008 | 36.003000 | 99.415649 |
| 12944 | Armenia | ARM | 2009 | 36.211000 | 99.519814 |
| 13208 | Armenia | ARM | 2010 | 36.420000 | 99.800000 |
| 13472 | Armenia | ARM | 2011 | 36.629000 | 99.767151 |
| 13736 | Armenia | ARM | 2012 | 36.839000 | 99.878876 |
| 14000 | Armenia | ARM | 2013 | 37.025000 | 99.954056 |
| 14264 | Armenia | ARM | 2014 | 37.188000 | 99.988976 |
| 14528 | Armenia | ARM | 2015 | 37.327000 | 100.000000 |
| 14792 | Armenia | ARM | 2016 | 37.442000 | 100.000000 |
| 15056 | Armenia | ARM | 2017 | 37.533000 | NaN |
| 0 | Aruba | ABW | 1960 | 49.224000 | NaN |
| 264 | Aruba | ABW | 1961 | 49.239000 | NaN |
| 528 | Aruba | ABW | 1962 | 49.254000 | NaN |
| 792 | Aruba | ABW | 1963 | 49.270000 | NaN |
| 1056 | Aruba | ABW | 1964 | 49.285000 | NaN |
| 1320 | Aruba | ABW | 1965 | 49.300000 | NaN |
| 1584 | Aruba | ABW | 1966 | 49.315000 | NaN |
| 1848 | Aruba | ABW | 1967 | 49.330000 | NaN |
| 2112 | Aruba | ABW | 1968 | 49.346000 | NaN |
| 2376 | Aruba | ABW | 1969 | 49.361000 | NaN |
| 2640 | Aruba | ABW | 1970 | 49.376000 | NaN |
| 2904 | Aruba | ABW | 1971 | 49.391000 | NaN |
| 3168 | Aruba | ABW | 1972 | 49.407000 | NaN |
| 3432 | Aruba | ABW | 1973 | 49.422000 | NaN |
| 3696 | Aruba | ABW | 1974 | 49.437000 | NaN |
| 3960 | Aruba | ABW | 1975 | 49.452000 | NaN |
| 4224 | Aruba | ABW | 1976 | 49.468000 | NaN |
| 4488 | Aruba | ABW | 1977 | 49.483000 | NaN |
| 4752 | Aruba | ABW | 1978 | 49.498000 | NaN |
| 5016 | Aruba | ABW | 1979 | 49.513000 | NaN |
| 5280 | Aruba | ABW | 1980 | 49.528000 | NaN |
| 5544 | Aruba | ABW | 1981 | 49.544000 | NaN |
| 5808 | Aruba | ABW | 1982 | 49.559000 | NaN |
| 6072 | Aruba | ABW | 1983 | 49.574000 | NaN |
| 6336 | Aruba | ABW | 1984 | 49.589000 | NaN |
| 6600 | Aruba | ABW | 1985 | 49.605000 | NaN |
| 6864 | Aruba | ABW | 1986 | 49.620000 | NaN |
| 7128 | Aruba | ABW | 1987 | 49.635000 | NaN |
| 7392 | Aruba | ABW | 1988 | 49.650000 | NaN |
| 7656 | Aruba | ABW | 1989 | 49.665000 | NaN |
| 7920 | Aruba | ABW | 1990 | 49.681000 | 88.445351 |
| 8184 | Aruba | ABW | 1991 | 49.696000 | 88.780846 |
| 8448 | Aruba | ABW | 1992 | 50.002000 | 89.115829 |
| 8712 | Aruba | ABW | 1993 | 50.412000 | 89.447754 |
| 8976 | Aruba | ABW | 1994 | 50.823000 | 89.773560 |
| 9240 | Aruba | ABW | 1995 | 51.233000 | 90.090187 |
| 9504 | Aruba | ABW | 1996 | 51.644000 | 90.394585 |
| 9768 | Aruba | ABW | 1997 | 52.054000 | 90.683678 |
| 10032 | Aruba | ABW | 1998 | 52.464000 | 90.954422 |
| 10296 | Aruba | ABW | 1999 | 52.873000 | 91.203751 |
| 10560 | Aruba | ABW | 2000 | 53.283000 | 91.660398 |
| 10824 | Aruba | ABW | 2001 | 53.661000 | 91.638092 |
| 11088 | Aruba | ABW | 2002 | 54.028000 | 91.833717 |
| 11352 | Aruba | ABW | 2003 | 54.394000 | 92.023048 |
| 11616 | Aruba | ABW | 2004 | 54.760000 | 92.212166 |
| 11880 | Aruba | ABW | 2005 | 55.125000 | 92.407120 |
| 12144 | Aruba | ABW | 2006 | 55.489000 | 92.613983 |
| 12408 | Aruba | ABW | 2007 | 55.853000 | 92.838821 |
| 12672 | Aruba | ABW | 2008 | 56.217000 | 93.086166 |
| 12936 | Aruba | ABW | 2009 | 56.579000 | 93.354546 |
| 13200 | Aruba | ABW | 2010 | 56.941000 | 93.356292 |
| 13464 | Aruba | ABW | 2011 | 57.302000 | 93.942375 |
| 13728 | Aruba | ABW | 2012 | 57.636000 | 94.255814 |
| 13992 | Aruba | ABW | 2013 | 57.942000 | 94.578262 |
| 14256 | Aruba | ABW | 2014 | 58.221000 | 94.906723 |
| 14520 | Aruba | ABW | 2015 | 58.472000 | 95.238182 |
| 14784 | Aruba | ABW | 2016 | 58.696000 | 95.570145 |
| 15048 | Aruba | ABW | 2017 | 58.893000 | NaN |
| 11 | Australia | AUS | 1960 | 18.471000 | NaN |
| 275 | Australia | AUS | 1961 | 18.059000 | NaN |
| 539 | Australia | AUS | 1962 | 17.663000 | NaN |
| 803 | Australia | AUS | 1963 | 17.273000 | NaN |
| 1067 | Australia | AUS | 1964 | 16.890000 | NaN |
| 1331 | Australia | AUS | 1965 | 16.515000 | NaN |
| 1595 | Australia | AUS | 1966 | 16.145000 | NaN |
| 1859 | Australia | AUS | 1967 | 15.783000 | NaN |
| 2123 | Australia | AUS | 1968 | 15.427000 | NaN |
| 2387 | Australia | AUS | 1969 | 15.078000 | NaN |
| 2651 | Australia | AUS | 1970 | 14.735000 | NaN |
| 2915 | Australia | AUS | 1971 | 14.400000 | NaN |
| 3179 | Australia | AUS | 1972 | 14.319000 | NaN |
| 3443 | Australia | AUS | 1973 | 14.239000 | NaN |
| 3707 | Australia | AUS | 1974 | 14.159000 | NaN |
| 3971 | Australia | AUS | 1975 | 14.079000 | NaN |
| 4235 | Australia | AUS | 1976 | 14.000000 | NaN |
| 4499 | Australia | AUS | 1977 | 14.060000 | NaN |
| 4763 | Australia | AUS | 1978 | 14.119000 | NaN |
| 5027 | Australia | AUS | 1979 | 14.179000 | NaN |
| 5291 | Australia | AUS | 1980 | 14.240000 | NaN |
| 5555 | Australia | AUS | 1981 | 14.300000 | NaN |
| 5819 | Australia | AUS | 1982 | 14.360000 | NaN |
| 6083 | Australia | AUS | 1983 | 14.420000 | NaN |
| 6347 | Australia | AUS | 1984 | 14.480000 | NaN |
| 6611 | Australia | AUS | 1985 | 14.540000 | NaN |
| 6875 | Australia | AUS | 1986 | 14.600000 | NaN |
| 7139 | Australia | AUS | 1987 | 14.600000 | NaN |
| 7403 | Australia | AUS | 1988 | 14.600000 | NaN |
| 7667 | Australia | AUS | 1989 | 14.600000 | NaN |
| 7931 | Australia | AUS | 1990 | 14.600000 | 100.000000 |
| 8195 | Australia | AUS | 1991 | 14.600000 | 100.000000 |
| 8459 | Australia | AUS | 1992 | 14.434000 | 100.000000 |
| 8723 | Australia | AUS | 1993 | 14.252000 | 100.000000 |
| 8987 | Australia | AUS | 1994 | 14.072000 | 100.000000 |
| 9251 | Australia | AUS | 1995 | 13.894000 | 100.000000 |
| 9515 | Australia | AUS | 1996 | 13.717000 | 100.000000 |
| 9779 | Australia | AUS | 1997 | 13.496000 | 100.000000 |
| 10043 | Australia | AUS | 1998 | 13.273000 | 100.000000 |
| 10307 | Australia | AUS | 1999 | 13.053000 | 100.000000 |
| 10571 | Australia | AUS | 2000 | 12.835000 | 100.000000 |
| 10835 | Australia | AUS | 2001 | 12.622000 | 100.000000 |
| 11099 | Australia | AUS | 2002 | 12.459000 | 100.000000 |
| 11363 | Australia | AUS | 2003 | 12.305000 | 100.000000 |
| 11627 | Australia | AUS | 2004 | 12.151000 | 100.000000 |
| 11891 | Australia | AUS | 2005 | 12.000000 | 100.000000 |
| 12155 | Australia | AUS | 2006 | 11.850000 | 100.000000 |
| 12419 | Australia | AUS | 2007 | 11.702000 | 100.000000 |
| 12683 | Australia | AUS | 2008 | 11.555000 | 100.000000 |
| 12947 | Australia | AUS | 2009 | 11.410000 | 100.000000 |
| 13211 | Australia | AUS | 2010 | 11.267000 | 100.000000 |
| 13475 | Australia | AUS | 2011 | 11.125000 | 100.000000 |
| 13739 | Australia | AUS | 2012 | 10.985000 | 100.000000 |
| 14003 | Australia | AUS | 2013 | 10.847000 | 100.000000 |
| 14267 | Australia | AUS | 2014 | 10.711000 | 100.000000 |
| 14531 | Australia | AUS | 2015 | 10.577000 | 100.000000 |
| 14795 | Australia | AUS | 2016 | 10.446000 | 100.000000 |
| 15059 | Australia | AUS | 2017 | 10.317000 | NaN |
| 12 | Austria | AUT | 1960 | 35.280000 | NaN |
| 276 | Austria | AUT | 1961 | 35.186000 | NaN |
| 540 | Austria | AUT | 1962 | 35.137000 | NaN |
| 804 | Austria | AUT | 1963 | 35.087000 | NaN |
| 1068 | Austria | AUT | 1964 | 35.038000 | NaN |
| 1332 | Austria | AUT | 1965 | 34.989000 | NaN |
| 1596 | Austria | AUT | 1966 | 34.939000 | NaN |
| 1860 | Austria | AUT | 1967 | 34.890000 | NaN |
| 2124 | Austria | AUT | 1968 | 34.841000 | NaN |
| 2388 | Austria | AUT | 1969 | 34.792000 | NaN |
| 2652 | Austria | AUT | 1970 | 34.742000 | NaN |
| 2916 | Austria | AUT | 1971 | 34.699000 | NaN |
| 3180 | Austria | AUT | 1972 | 34.689000 | NaN |
| 3444 | Austria | AUT | 1973 | 34.679000 | NaN |
| 3708 | Austria | AUT | 1974 | 34.669000 | NaN |
| 3972 | Austria | AUT | 1975 | 34.659000 | NaN |
| 4236 | Austria | AUT | 1976 | 34.649000 | NaN |
| 4500 | Austria | AUT | 1977 | 34.639000 | NaN |
| 4764 | Austria | AUT | 1978 | 34.629000 | NaN |
| 5028 | Austria | AUT | 1979 | 34.619000 | NaN |
| 5292 | Austria | AUT | 1980 | 34.609000 | NaN |
| 5556 | Austria | AUT | 1981 | 34.595000 | NaN |
| 5820 | Austria | AUT | 1982 | 34.554000 | NaN |
| 6084 | Austria | AUT | 1983 | 34.514000 | NaN |
| 6348 | Austria | AUT | 1984 | 34.474000 | NaN |
| 6612 | Austria | AUT | 1985 | 34.434000 | NaN |
| 6876 | Austria | AUT | 1986 | 34.394000 | NaN |
| 7140 | Austria | AUT | 1987 | 34.354000 | NaN |
| 7404 | Austria | AUT | 1988 | 34.314000 | NaN |
| 7668 | Austria | AUT | 1989 | 34.275000 | NaN |
| 7932 | Austria | AUT | 1990 | 34.235000 | 100.000000 |
| 8196 | Austria | AUT | 1991 | 34.200000 | 100.000000 |
| 8460 | Austria | AUT | 1992 | 34.200000 | 100.000000 |
| 8724 | Austria | AUT | 1993 | 34.200000 | 100.000000 |
| 8988 | Austria | AUT | 1994 | 34.200000 | 100.000000 |
| 9252 | Austria | AUT | 1995 | 34.200000 | 100.000000 |
| 9516 | Austria | AUT | 1996 | 34.200000 | 100.000000 |
| 9780 | Austria | AUT | 1997 | 34.200000 | 100.000000 |
| 10044 | Austria | AUT | 1998 | 34.200000 | 100.000000 |
| 10308 | Austria | AUT | 1999 | 34.200000 | 100.000000 |
| 10572 | Austria | AUT | 2000 | 34.200000 | 100.000000 |
| 10836 | Austria | AUT | 2001 | 34.199000 | 100.000000 |
| 11100 | Austria | AUT | 2002 | 34.194000 | 100.000000 |
| 11364 | Austria | AUT | 2003 | 34.188000 | 100.000000 |
| 11628 | Austria | AUT | 2004 | 34.182000 | 100.000000 |
| 11892 | Austria | AUT | 2005 | 34.176000 | 100.000000 |
| 12156 | Austria | AUT | 2006 | 34.171000 | 100.000000 |
| 12420 | Austria | AUT | 2007 | 34.165000 | 100.000000 |
| 12684 | Austria | AUT | 2008 | 34.159000 | 100.000000 |
| 12948 | Austria | AUT | 2009 | 34.153000 | 100.000000 |
| 13212 | Austria | AUT | 2010 | 34.148000 | 100.000000 |
| 13476 | Austria | AUT | 2011 | 34.142000 | 100.000000 |
| 13740 | Austria | AUT | 2012 | 34.136000 | 100.000000 |
| 14004 | Austria | AUT | 2013 | 34.116000 | 100.000000 |
| 14268 | Austria | AUT | 2014 | 34.081000 | 100.000000 |
| 14532 | Austria | AUT | 2015 | 34.032000 | 100.000000 |
| 14796 | Austria | AUT | 2016 | 33.968000 | 100.000000 |
| 15060 | Austria | AUT | 2017 | 33.890000 | NaN |
| 13 | Azerbaijan | AZE | 1960 | 47.337000 | NaN |
| 277 | Azerbaijan | AZE | 1961 | 47.636000 | NaN |
| 541 | Azerbaijan | AZE | 1962 | 47.936000 | NaN |
| 805 | Azerbaijan | AZE | 1963 | 48.236000 | NaN |
| 1069 | Azerbaijan | AZE | 1964 | 48.536000 | NaN |
| 1333 | Azerbaijan | AZE | 1965 | 48.836000 | NaN |
| 1597 | Azerbaijan | AZE | 1966 | 49.136000 | NaN |
| 1861 | Azerbaijan | AZE | 1967 | 49.436000 | NaN |
| 2125 | Azerbaijan | AZE | 1968 | 49.737000 | NaN |
| 2389 | Azerbaijan | AZE | 1969 | 50.037000 | NaN |
| 2653 | Azerbaijan | AZE | 1970 | 49.992000 | NaN |
| 2917 | Azerbaijan | AZE | 1971 | 49.538000 | NaN |
| 3181 | Azerbaijan | AZE | 1972 | 49.083000 | NaN |
| 3445 | Azerbaijan | AZE | 1973 | 48.629000 | NaN |
| 3709 | Azerbaijan | AZE | 1974 | 48.302000 | NaN |
| 3973 | Azerbaijan | AZE | 1975 | 48.103000 | NaN |
| 4237 | Azerbaijan | AZE | 1976 | 47.904000 | NaN |
| 4501 | Azerbaijan | AZE | 1977 | 47.706000 | NaN |
| 4765 | Azerbaijan | AZE | 1978 | 47.508000 | NaN |
| 5029 | Azerbaijan | AZE | 1979 | 47.345000 | NaN |
| 5293 | Azerbaijan | AZE | 1980 | 47.223000 | NaN |
| 5557 | Azerbaijan | AZE | 1981 | 47.103000 | NaN |
| 5821 | Azerbaijan | AZE | 1982 | 46.982000 | NaN |
| 6085 | Azerbaijan | AZE | 1983 | 46.861000 | NaN |
| 6349 | Azerbaijan | AZE | 1984 | 46.701000 | NaN |
| 6613 | Azerbaijan | AZE | 1985 | 46.502000 | NaN |
| 6877 | Azerbaijan | AZE | 1986 | 46.303000 | NaN |
| 7141 | Azerbaijan | AZE | 1987 | 46.105000 | NaN |
| 7405 | Azerbaijan | AZE | 1988 | 45.906000 | NaN |
| 7669 | Azerbaijan | AZE | 1989 | 45.943000 | NaN |
| 7933 | Azerbaijan | AZE | 1990 | 46.251000 | 95.870232 |
| 8197 | Azerbaijan | AZE | 1991 | 46.559000 | 96.163727 |
| 8461 | Azerbaijan | AZE | 1992 | 46.868000 | 96.456718 |
| 8725 | Azerbaijan | AZE | 1993 | 47.176000 | 96.746643 |
| 8989 | Azerbaijan | AZE | 1994 | 47.485000 | 97.030457 |
| 9253 | Azerbaijan | AZE | 1995 | 47.794000 | 97.305092 |
| 9517 | Azerbaijan | AZE | 1996 | 48.104000 | 97.567490 |
| 9781 | Azerbaijan | AZE | 1997 | 48.412000 | 97.814590 |
| 10045 | Azerbaijan | AZE | 1998 | 48.722000 | 98.027618 |
| 10309 | Azerbaijan | AZE | 1999 | 48.815000 | 97.000000 |
| 10573 | Azerbaijan | AZE | 2000 | 48.614000 | 98.908222 |
| 10837 | Azerbaijan | AZE | 2001 | 48.413000 | 98.591782 |
| 11101 | Azerbaijan | AZE | 2002 | 48.213000 | 100.000000 |
| 11365 | Azerbaijan | AZE | 2003 | 48.012000 | 98.901825 |
| 11629 | Azerbaijan | AZE | 2004 | 47.811000 | 99.053497 |
| 11893 | Azerbaijan | AZE | 2005 | 47.611000 | 99.210976 |
| 12157 | Azerbaijan | AZE | 2006 | 47.411000 | 99.500000 |
| 12421 | Azerbaijan | AZE | 2007 | 47.210000 | 99.562141 |
| 12685 | Azerbaijan | AZE | 2008 | 47.010000 | 99.741806 |
| 12949 | Azerbaijan | AZE | 2009 | 46.810000 | 99.884735 |
| 13213 | Azerbaijan | AZE | 2010 | 46.599000 | 99.965675 |
| 13477 | Azerbaijan | AZE | 2011 | 46.377000 | 99.900000 |
| 13741 | Azerbaijan | AZE | 2012 | 46.144000 | 99.999710 |
| 14005 | Azerbaijan | AZE | 2013 | 45.900000 | 100.000000 |
| 14269 | Azerbaijan | AZE | 2014 | 45.645000 | 100.000000 |
| 14533 | Azerbaijan | AZE | 2015 | 45.380000 | 100.000000 |
| 14797 | Azerbaijan | AZE | 2016 | 45.105000 | 100.000000 |
| 15061 | Azerbaijan | AZE | 2017 | 44.819000 | NaN |
| 21 | Bahamas, The | BHS | 1960 | 40.288000 | NaN |
| 285 | Bahamas, The | BHS | 1961 | 39.546000 | NaN |
| 549 | Bahamas, The | BHS | 1962 | 38.807000 | NaN |
| 813 | Bahamas, The | BHS | 1963 | 38.074000 | NaN |
| 1077 | Bahamas, The | BHS | 1964 | 37.358000 | NaN |
| 1341 | Bahamas, The | BHS | 1965 | 36.657000 | NaN |
| 1605 | Bahamas, The | BHS | 1966 | 35.960000 | NaN |
| 1869 | Bahamas, The | BHS | 1967 | 35.270000 | NaN |
| 2133 | Bahamas, The | BHS | 1968 | 34.584000 | NaN |
| 2397 | Bahamas, The | BHS | 1969 | 33.907000 | NaN |
| 2661 | Bahamas, The | BHS | 1970 | 33.236000 | NaN |
| 2925 | Bahamas, The | BHS | 1971 | 32.571000 | NaN |
| 3189 | Bahamas, The | BHS | 1972 | 31.912000 | NaN |
| 3453 | Bahamas, The | BHS | 1973 | 31.262000 | NaN |
| 3717 | Bahamas, The | BHS | 1974 | 30.619000 | NaN |
| 3981 | Bahamas, The | BHS | 1975 | 29.983000 | NaN |
| 4245 | Bahamas, The | BHS | 1976 | 29.353000 | NaN |
| 4509 | Bahamas, The | BHS | 1977 | 28.734000 | NaN |
| 4773 | Bahamas, The | BHS | 1978 | 28.121000 | NaN |
| 5037 | Bahamas, The | BHS | 1979 | 27.516000 | NaN |
| 5301 | Bahamas, The | BHS | 1980 | 26.898000 | NaN |
| 5565 | Bahamas, The | BHS | 1981 | 26.157000 | NaN |
| 5829 | Bahamas, The | BHS | 1982 | 25.429000 | NaN |
| 6093 | Bahamas, The | BHS | 1983 | 24.715000 | NaN |
| 6357 | Bahamas, The | BHS | 1984 | 24.013000 | NaN |
| 6621 | Bahamas, The | BHS | 1985 | 23.326000 | NaN |
| 6885 | Bahamas, The | BHS | 1986 | 22.653000 | NaN |
| 7149 | Bahamas, The | BHS | 1987 | 21.993000 | NaN |
| 7413 | Bahamas, The | BHS | 1988 | 21.346000 | NaN |
| 7677 | Bahamas, The | BHS | 1989 | 20.716000 | NaN |
| 7941 | Bahamas, The | BHS | 1990 | 20.162000 | 90.791199 |
| 8205 | Bahamas, The | BHS | 1991 | 19.933000 | 91.310501 |
| 8469 | Bahamas, The | BHS | 1992 | 19.707000 | 91.829292 |
| 8733 | Bahamas, The | BHS | 1993 | 19.482000 | 92.345024 |
| 8997 | Bahamas, The | BHS | 1994 | 19.260000 | 92.854637 |
| 9261 | Bahamas, The | BHS | 1995 | 19.039000 | 93.355072 |
| 9525 | Bahamas, The | BHS | 1996 | 18.820000 | 93.843277 |
| 9789 | Bahamas, The | BHS | 1997 | 18.604000 | 94.316185 |
| 10053 | Bahamas, The | BHS | 1998 | 18.389000 | 94.770729 |
| 10317 | Bahamas, The | BHS | 1999 | 18.176000 | 95.203873 |
| 10581 | Bahamas, The | BHS | 2000 | 17.991000 | 95.614052 |
| 10845 | Bahamas, The | BHS | 2001 | 17.936000 | 96.065547 |
| 11109 | Bahamas, The | BHS | 2002 | 17.882000 | 96.385254 |
| 11373 | Bahamas, The | BHS | 2003 | 17.828000 | 96.758400 |
| 11637 | Bahamas, The | BHS | 2004 | 17.774000 | 97.131325 |
| 11901 | Bahamas, The | BHS | 2005 | 17.720000 | 97.510094 |
| 12165 | Bahamas, The | BHS | 2006 | 17.666000 | 97.900764 |
| 12429 | Bahamas, The | BHS | 2007 | 17.612000 | 98.325302 |
| 12693 | Bahamas, The | BHS | 2008 | 17.558000 | 98.753685 |
| 12957 | Bahamas, The | BHS | 2009 | 17.505000 | 99.182266 |
| 13221 | Bahamas, The | BHS | 2010 | 17.451000 | 99.560989 |
| 13485 | Bahamas, The | BHS | 2011 | 17.394000 | 99.825653 |
| 13749 | Bahamas, The | BHS | 2012 | 17.333000 | 99.955795 |
| 14013 | Bahamas, The | BHS | 2013 | 17.268000 | 99.994736 |
| 14277 | Bahamas, The | BHS | 2014 | 17.199000 | 100.000000 |
| 14541 | Bahamas, The | BHS | 2015 | 17.126000 | 100.000000 |
| 14805 | Bahamas, The | BHS | 2016 | 17.049000 | 100.000000 |
| 15069 | Bahamas, The | BHS | 2017 | 16.969000 | NaN |
| 20 | Bahrain | BHR | 1960 | 17.680000 | NaN |
| 284 | Bahrain | BHR | 1961 | 17.663000 | NaN |
| 548 | Bahrain | BHR | 1962 | 17.645000 | NaN |
| 812 | Bahrain | BHR | 1963 | 17.628000 | NaN |
| 1076 | Bahrain | BHR | 1964 | 17.611000 | NaN |
| 1340 | Bahrain | BHR | 1965 | 17.500000 | NaN |
| 1604 | Bahrain | BHR | 1966 | 17.239000 | NaN |
| 1868 | Bahrain | BHR | 1967 | 16.981000 | NaN |
| 2132 | Bahrain | BHR | 1968 | 16.725000 | NaN |
| 2396 | Bahrain | BHR | 1969 | 16.474000 | NaN |
| 2660 | Bahrain | BHR | 1970 | 16.225000 | NaN |
| 2924 | Bahrain | BHR | 1971 | 15.979000 | NaN |
| 3188 | Bahrain | BHR | 1972 | 15.735000 | NaN |
| 3452 | Bahrain | BHR | 1973 | 15.496000 | NaN |
| 3716 | Bahrain | BHR | 1974 | 15.259000 | NaN |
| 3980 | Bahrain | BHR | 1975 | 15.025000 | NaN |
| 4244 | Bahrain | BHR | 1976 | 14.794000 | NaN |
| 4508 | Bahrain | BHR | 1977 | 14.566000 | NaN |
| 4772 | Bahrain | BHR | 1978 | 14.341000 | NaN |
| 5036 | Bahrain | BHR | 1979 | 14.118000 | NaN |
| 5300 | Bahrain | BHR | 1980 | 13.899000 | NaN |
| 5564 | Bahrain | BHR | 1981 | 13.683000 | NaN |
| 5828 | Bahrain | BHR | 1982 | 13.469000 | NaN |
| 6092 | Bahrain | BHR | 1983 | 13.258000 | NaN |
| 6356 | Bahrain | BHR | 1984 | 13.050000 | NaN |
| 6620 | Bahrain | BHR | 1985 | 12.845000 | NaN |
| 6884 | Bahrain | BHR | 1986 | 12.643000 | NaN |
| 7148 | Bahrain | BHR | 1987 | 12.443000 | NaN |
| 7412 | Bahrain | BHR | 1988 | 12.246000 | NaN |
| 7676 | Bahrain | BHR | 1989 | 12.051000 | NaN |
| 7940 | Bahrain | BHR | 1990 | 11.860000 | NaN |
| 8204 | Bahrain | BHR | 1991 | 11.671000 | NaN |
| 8468 | Bahrain | BHR | 1992 | 11.602000 | NaN |
| 8732 | Bahrain | BHR | 1993 | 11.605000 | NaN |
| 8996 | Bahrain | BHR | 1994 | 11.608000 | NaN |
| 9260 | Bahrain | BHR | 1995 | 11.612000 | NaN |
| 9524 | Bahrain | BHR | 1996 | 11.615000 | NaN |
| 9788 | Bahrain | BHR | 1997 | 11.618000 | NaN |
| 10052 | Bahrain | BHR | 1998 | 11.621000 | NaN |
| 10316 | Bahrain | BHR | 1999 | 11.624000 | NaN |
| 10580 | Bahrain | BHR | 2000 | 11.628000 | NaN |
| 10844 | Bahrain | BHR | 2001 | 11.631000 | 100.000000 |
| 11108 | Bahrain | BHR | 2002 | 11.630000 | 100.000000 |
| 11372 | Bahrain | BHR | 2003 | 11.624000 | 100.000000 |
| 11636 | Bahrain | BHR | 2004 | 11.614000 | 100.000000 |
| 11900 | Bahrain | BHR | 2005 | 11.600000 | 100.000000 |
| 12164 | Bahrain | BHR | 2006 | 11.581000 | 100.000000 |
| 12428 | Bahrain | BHR | 2007 | 11.559000 | 100.000000 |
| 12692 | Bahrain | BHR | 2008 | 11.532000 | 100.000000 |
| 12956 | Bahrain | BHR | 2009 | 11.500000 | 100.000000 |
| 13220 | Bahrain | BHR | 2010 | 11.465000 | 100.000000 |
| 13484 | Bahrain | BHR | 2011 | 11.425000 | 100.000000 |
| 13748 | Bahrain | BHR | 2012 | 11.381000 | 100.000000 |
| 14012 | Bahrain | BHR | 2013 | 11.333000 | 100.000000 |
| 14276 | Bahrain | BHR | 2014 | 11.281000 | 100.000000 |
| 14540 | Bahrain | BHR | 2015 | 11.225000 | 100.000000 |
| 14804 | Bahrain | BHR | 2016 | 11.165000 | 100.000000 |
| 15068 | Bahrain | BHR | 2017 | 11.101000 | NaN |
| 18 | Bangladesh | BGD | 1960 | 94.865000 | NaN |
| 282 | Bangladesh | BGD | 1961 | 94.722000 | NaN |
| 546 | Bangladesh | BGD | 1962 | 94.502000 | NaN |
| 810 | Bangladesh | BGD | 1963 | 94.273000 | NaN |
| 1074 | Bangladesh | BGD | 1964 | 94.036000 | NaN |
| 1338 | Bangladesh | BGD | 1965 | 93.789000 | NaN |
| 1602 | Bangladesh | BGD | 1966 | 93.533000 | NaN |
| 1866 | Bangladesh | BGD | 1967 | 93.267000 | NaN |
| 2130 | Bangladesh | BGD | 1968 | 92.991000 | NaN |
| 2394 | Bangladesh | BGD | 1969 | 92.704000 | NaN |
| 2658 | Bangladesh | BGD | 1970 | 92.407000 | NaN |
| 2922 | Bangladesh | BGD | 1971 | 92.099000 | NaN |
| 3186 | Bangladesh | BGD | 1972 | 91.779000 | NaN |
| 3450 | Bangladesh | BGD | 1973 | 91.447000 | NaN |
| 3714 | Bangladesh | BGD | 1974 | 90.966000 | NaN |
| 3978 | Bangladesh | BGD | 1975 | 90.164000 | NaN |
| 4242 | Bangladesh | BGD | 1976 | 89.299000 | NaN |
| 4506 | Bangladesh | BGD | 1977 | 88.370000 | NaN |
| 4770 | Bangladesh | BGD | 1978 | 87.371000 | NaN |
| 5034 | Bangladesh | BGD | 1979 | 86.299000 | NaN |
| 5298 | Bangladesh | BGD | 1980 | 85.149000 | NaN |
| 5562 | Bangladesh | BGD | 1981 | 84.199000 | NaN |
| 5826 | Bangladesh | BGD | 1982 | 83.788000 | NaN |
| 6090 | Bangladesh | BGD | 1983 | 83.369000 | NaN |
| 6354 | Bangladesh | BGD | 1984 | 82.940000 | NaN |
| 6618 | Bangladesh | BGD | 1985 | 82.504000 | NaN |
| 6882 | Bangladesh | BGD | 1986 | 82.059000 | NaN |
| 7146 | Bangladesh | BGD | 1987 | 81.605000 | NaN |
| 7410 | Bangladesh | BGD | 1988 | 81.141000 | NaN |
| 7674 | Bangladesh | BGD | 1989 | 80.670000 | NaN |
| 7938 | Bangladesh | BGD | 1990 | 80.189000 | 8.544374 |
| 8202 | Bangladesh | BGD | 1991 | 79.743000 | 14.290000 |
| 8466 | Bangladesh | BGD | 1992 | 79.390000 | 13.444250 |
| 8730 | Bangladesh | BGD | 1993 | 79.034000 | 15.890874 |
| 8994 | Bangladesh | BGD | 1994 | 78.672000 | 17.800000 |
| 9258 | Bangladesh | BGD | 1995 | 78.307000 | 20.762709 |
| 9522 | Bangladesh | BGD | 1996 | 77.936000 | 23.181799 |
| 9786 | Bangladesh | BGD | 1997 | 77.562000 | 22.400000 |
| 10050 | Bangladesh | BGD | 1998 | 77.182000 | 27.971037 |
| 10314 | Bangladesh | BGD | 1999 | 76.798000 | 30.335066 |
| 10578 | Bangladesh | BGD | 2000 | 76.410000 | 32.000000 |
| 10842 | Bangladesh | BGD | 2001 | 75.904000 | 34.998806 |
| 11106 | Bangladesh | BGD | 2002 | 75.244000 | 37.309124 |
| 11370 | Bangladesh | BGD | 2003 | 74.571000 | 39.613159 |
| 11634 | Bangladesh | BGD | 2004 | 73.886000 | 40.600000 |
| 11898 | Bangladesh | BGD | 2005 | 73.191000 | 44.230000 |
| 12162 | Bangladesh | BGD | 2006 | 72.483000 | 50.525102 |
| 12426 | Bangladesh | BGD | 2007 | 71.763000 | 46.500000 |
| 12690 | Bangladesh | BGD | 2008 | 71.032000 | 51.249775 |
| 12954 | Bangladesh | BGD | 2009 | 70.291000 | 53.632854 |
| 13218 | Bangladesh | BGD | 2010 | 69.538000 | 55.260000 |
| 13482 | Bangladesh | BGD | 2011 | 68.775000 | 59.600000 |
| 13746 | Bangladesh | BGD | 2012 | 68.010000 | 60.878216 |
| 14010 | Bangladesh | BGD | 2013 | 67.247000 | 61.500000 |
| 14274 | Bangladesh | BGD | 2014 | 66.484000 | 62.400000 |
| 14538 | Bangladesh | BGD | 2015 | 65.723000 | 68.204681 |
| 14802 | Bangladesh | BGD | 2016 | 64.965000 | 75.920000 |
| 15066 | Bangladesh | BGD | 2017 | 64.210000 | NaN |
| 28 | Barbados | BRB | 1960 | 63.223000 | NaN |
| 292 | Barbados | BRB | 1961 | 63.151000 | NaN |
| 556 | Barbados | BRB | 1962 | 63.078000 | NaN |
| 820 | Barbados | BRB | 1963 | 63.005000 | NaN |
| 1084 | Barbados | BRB | 1964 | 62.932000 | NaN |
| 1348 | Barbados | BRB | 1965 | 62.859000 | NaN |
| 1612 | Barbados | BRB | 1966 | 62.786000 | NaN |
| 1876 | Barbados | BRB | 1967 | 62.713000 | NaN |
| 2140 | Barbados | BRB | 1968 | 62.640000 | NaN |
| 2404 | Barbados | BRB | 1969 | 62.567000 | NaN |
| 2668 | Barbados | BRB | 1970 | 62.461000 | NaN |
| 2932 | Barbados | BRB | 1971 | 62.245000 | NaN |
| 3196 | Barbados | BRB | 1972 | 62.029000 | NaN |
| 3460 | Barbados | BRB | 1973 | 61.814000 | NaN |
| 3724 | Barbados | BRB | 1974 | 61.597000 | NaN |
| 3988 | Barbados | BRB | 1975 | 61.380000 | NaN |
| 4252 | Barbados | BRB | 1976 | 61.162000 | NaN |
| 4516 | Barbados | BRB | 1977 | 60.944000 | NaN |
| 4780 | Barbados | BRB | 1978 | 60.726000 | NaN |
| 5044 | Barbados | BRB | 1979 | 60.507000 | NaN |
| 5308 | Barbados | BRB | 1980 | 60.418000 | NaN |
| 5572 | Barbados | BRB | 1981 | 61.149000 | NaN |
| 5836 | Barbados | BRB | 1982 | 61.876000 | NaN |
| 6100 | Barbados | BRB | 1983 | 62.598000 | NaN |
| 6364 | Barbados | BRB | 1984 | 63.315000 | NaN |
| 6628 | Barbados | BRB | 1985 | 64.025000 | NaN |
| 6892 | Barbados | BRB | 1986 | 64.729000 | NaN |
| 7156 | Barbados | BRB | 1987 | 65.428000 | NaN |
| 7420 | Barbados | BRB | 1988 | 66.120000 | NaN |
| 7684 | Barbados | BRB | 1989 | 66.804000 | NaN |
| 7948 | Barbados | BRB | 1990 | 67.350000 | NaN |
| 8212 | Barbados | BRB | 1991 | 67.228000 | NaN |
| 8476 | Barbados | BRB | 1992 | 67.106000 | NaN |
| 8740 | Barbados | BRB | 1993 | 66.984000 | NaN |
| 9004 | Barbados | BRB | 1994 | 66.861000 | NaN |
| 9268 | Barbados | BRB | 1995 | 66.738000 | NaN |
| 9532 | Barbados | BRB | 1996 | 66.614000 | NaN |
| 9796 | Barbados | BRB | 1997 | 66.491000 | NaN |
| 10060 | Barbados | BRB | 1998 | 66.367000 | NaN |
| 10324 | Barbados | BRB | 1999 | 66.244000 | NaN |
| 10588 | Barbados | BRB | 2000 | 66.170000 | 100.000000 |
| 10852 | Barbados | BRB | 2001 | 66.349000 | 100.000000 |
| 11116 | Barbados | BRB | 2002 | 66.528000 | 100.000000 |
| 11380 | Barbados | BRB | 2003 | 66.706000 | 100.000000 |
| 11644 | Barbados | BRB | 2004 | 66.884000 | 100.000000 |
| 11908 | Barbados | BRB | 2005 | 67.061000 | 100.000000 |
| 12172 | Barbados | BRB | 2006 | 67.238000 | 100.000000 |
| 12436 | Barbados | BRB | 2007 | 67.414000 | 100.000000 |
| 12700 | Barbados | BRB | 2008 | 67.590000 | 100.000000 |
| 12964 | Barbados | BRB | 2009 | 67.765000 | 100.000000 |
| 13228 | Barbados | BRB | 2010 | 67.940000 | 100.000000 |
| 13492 | Barbados | BRB | 2011 | 68.095000 | 100.000000 |
| 13756 | Barbados | BRB | 2012 | 68.231000 | 100.000000 |
| 14020 | Barbados | BRB | 2013 | 68.348000 | 100.000000 |
| 14284 | Barbados | BRB | 2014 | 68.446000 | 100.000000 |
| 14548 | Barbados | BRB | 2015 | 68.525000 | 100.000000 |
| 14812 | Barbados | BRB | 2016 | 68.585000 | 100.000000 |
| 15076 | Barbados | BRB | 2017 | 68.626000 | NaN |
| 23 | Belarus | BLR | 1960 | 67.599000 | NaN |
| 287 | Belarus | BLR | 1961 | 66.478000 | NaN |
| 551 | Belarus | BLR | 1962 | 65.337000 | NaN |
| 815 | Belarus | BLR | 1963 | 64.178000 | NaN |
| 1079 | Belarus | BLR | 1964 | 63.000000 | NaN |
| 1343 | Belarus | BLR | 1965 | 61.873000 | NaN |
| 1607 | Belarus | BLR | 1966 | 60.731000 | NaN |
| 1871 | Belarus | BLR | 1967 | 59.578000 | NaN |
| 2135 | Belarus | BLR | 1968 | 58.412000 | NaN |
| 2399 | Belarus | BLR | 1969 | 57.240000 | NaN |
| 2663 | Belarus | BLR | 1970 | 55.990000 | NaN |
| 2927 | Belarus | BLR | 1971 | 54.651000 | NaN |
| 3191 | Belarus | BLR | 1972 | 53.303000 | NaN |
| 3455 | Belarus | BLR | 1973 | 51.954000 | NaN |
| 3719 | Belarus | BLR | 1974 | 50.600000 | NaN |
| 3983 | Belarus | BLR | 1975 | 49.386000 | NaN |
| 4247 | Belarus | BLR | 1976 | 48.171000 | NaN |
| 4511 | Belarus | BLR | 1977 | 46.961000 | NaN |
| 4775 | Belarus | BLR | 1978 | 45.753000 | NaN |
| 5039 | Belarus | BLR | 1979 | 44.598000 | NaN |
| 5303 | Belarus | BLR | 1980 | 43.502000 | NaN |
| 5567 | Belarus | BLR | 1981 | 42.416000 | NaN |
| 5831 | Belarus | BLR | 1982 | 41.336000 | NaN |
| 6095 | Belarus | BLR | 1983 | 40.264000 | NaN |
| 6359 | Belarus | BLR | 1984 | 39.200000 | NaN |
| 6623 | Belarus | BLR | 1985 | 38.167000 | NaN |
| 6887 | Belarus | BLR | 1986 | 37.143000 | NaN |
| 7151 | Belarus | BLR | 1987 | 36.130000 | NaN |
| 7415 | Belarus | BLR | 1988 | 35.128000 | NaN |
| 7679 | Belarus | BLR | 1989 | 34.415000 | NaN |
| 7943 | Belarus | BLR | 1990 | 34.019000 | 100.000000 |
| 8207 | Belarus | BLR | 1991 | 33.626000 | 100.000000 |
| 8471 | Belarus | BLR | 1992 | 33.234000 | 100.000000 |
| 8735 | Belarus | BLR | 1993 | 32.845000 | 100.000000 |
| 8999 | Belarus | BLR | 1994 | 32.459000 | 100.000000 |
| 9263 | Belarus | BLR | 1995 | 32.074000 | 100.000000 |
| 9527 | Belarus | BLR | 1996 | 31.692000 | 100.000000 |
| 9791 | Belarus | BLR | 1997 | 31.313000 | 100.000000 |
| 10055 | Belarus | BLR | 1998 | 30.936000 | 100.000000 |
| 10319 | Belarus | BLR | 1999 | 30.518000 | 100.000000 |
| 10583 | Belarus | BLR | 2000 | 30.027000 | 100.000000 |
| 10847 | Belarus | BLR | 2001 | 29.542000 | 100.000000 |
| 11111 | Belarus | BLR | 2002 | 29.061000 | 100.000000 |
| 11375 | Belarus | BLR | 2003 | 28.585000 | 100.000000 |
| 11639 | Belarus | BLR | 2004 | 28.113000 | 100.000000 |
| 11903 | Belarus | BLR | 2005 | 27.646000 | 100.000000 |
| 12167 | Belarus | BLR | 2006 | 27.184000 | 100.000000 |
| 12431 | Belarus | BLR | 2007 | 26.727000 | 100.000000 |
| 12695 | Belarus | BLR | 2008 | 26.274000 | 100.000000 |
| 12959 | Belarus | BLR | 2009 | 25.828000 | 100.000000 |
| 13223 | Belarus | BLR | 2010 | 25.385000 | 100.000000 |
| 13487 | Belarus | BLR | 2011 | 24.954000 | 100.000000 |
| 13751 | Belarus | BLR | 2012 | 24.533000 | 100.000000 |
| 14015 | Belarus | BLR | 2013 | 24.123000 | 100.000000 |
| 14279 | Belarus | BLR | 2014 | 23.723000 | 100.000000 |
| 14543 | Belarus | BLR | 2015 | 23.333000 | 100.000000 |
| 14807 | Belarus | BLR | 2016 | 22.954000 | 100.000000 |
| 15071 | Belarus | BLR | 2017 | 22.584000 | NaN |
| 15 | Belgium | BEL | 1960 | 7.540000 | NaN |
| 279 | Belgium | BEL | 1961 | 7.446000 | NaN |
| 543 | Belgium | BEL | 1962 | 7.321000 | NaN |
| 807 | Belgium | BEL | 1963 | 7.165000 | NaN |
| 1071 | Belgium | BEL | 1964 | 7.012000 | NaN |
| 1335 | Belgium | BEL | 1965 | 6.863000 | NaN |
| 1599 | Belgium | BEL | 1966 | 6.716000 | NaN |
| 1863 | Belgium | BEL | 1967 | 6.572000 | NaN |
| 2127 | Belgium | BEL | 1968 | 6.431000 | NaN |
| 2391 | Belgium | BEL | 1969 | 6.293000 | NaN |
| 2655 | Belgium | BEL | 1970 | 6.157000 | NaN |
| 2919 | Belgium | BEL | 1971 | 6.024000 | NaN |
| 3183 | Belgium | BEL | 1972 | 5.894000 | NaN |
| 3447 | Belgium | BEL | 1973 | 5.767000 | NaN |
| 3711 | Belgium | BEL | 1974 | 5.642000 | NaN |
| 3975 | Belgium | BEL | 1975 | 5.520000 | NaN |
| 4239 | Belgium | BEL | 1976 | 5.400000 | NaN |
| 4503 | Belgium | BEL | 1977 | 5.194000 | NaN |
| 4767 | Belgium | BEL | 1978 | 4.995000 | NaN |
| 5031 | Belgium | BEL | 1979 | 4.804000 | NaN |
| 5295 | Belgium | BEL | 1980 | 4.619000 | NaN |
| 5559 | Belgium | BEL | 1981 | 4.465000 | NaN |
| 5823 | Belgium | BEL | 1982 | 4.363000 | NaN |
| 6087 | Belgium | BEL | 1983 | 4.263000 | NaN |
| 6351 | Belgium | BEL | 1984 | 4.165000 | NaN |
| 6615 | Belgium | BEL | 1985 | 4.070000 | NaN |
| 6879 | Belgium | BEL | 1986 | 3.977000 | NaN |
| 7143 | Belgium | BEL | 1987 | 3.885000 | NaN |
| 7407 | Belgium | BEL | 1988 | 3.796000 | NaN |
| 7671 | Belgium | BEL | 1989 | 3.708000 | NaN |
| 7935 | Belgium | BEL | 1990 | 3.623000 | 100.000000 |
| 8199 | Belgium | BEL | 1991 | 3.539000 | 100.000000 |
| 8463 | Belgium | BEL | 1992 | 3.458000 | 100.000000 |
| 8727 | Belgium | BEL | 1993 | 3.378000 | 100.000000 |
| 8991 | Belgium | BEL | 1994 | 3.300000 | 100.000000 |
| 9255 | Belgium | BEL | 1995 | 3.223000 | 100.000000 |
| 9519 | Belgium | BEL | 1996 | 3.149000 | 100.000000 |
| 9783 | Belgium | BEL | 1997 | 3.076000 | 100.000000 |
| 10047 | Belgium | BEL | 1998 | 3.004000 | 100.000000 |
| 10311 | Belgium | BEL | 1999 | 2.935000 | 100.000000 |
| 10575 | Belgium | BEL | 2000 | 2.872000 | 100.000000 |
| 10839 | Belgium | BEL | 2001 | 2.816000 | 100.000000 |
| 11103 | Belgium | BEL | 2002 | 2.761000 | 100.000000 |
| 11367 | Belgium | BEL | 2003 | 2.708000 | 100.000000 |
| 11631 | Belgium | BEL | 2004 | 2.655000 | 100.000000 |
| 11895 | Belgium | BEL | 2005 | 2.603000 | 100.000000 |
| 12159 | Belgium | BEL | 2006 | 2.552000 | 100.000000 |
| 12423 | Belgium | BEL | 2007 | 2.503000 | 100.000000 |
| 12687 | Belgium | BEL | 2008 | 2.454000 | 100.000000 |
| 12951 | Belgium | BEL | 2009 | 2.406000 | 100.000000 |
| 13215 | Belgium | BEL | 2010 | 2.359000 | 100.000000 |
| 13479 | Belgium | BEL | 2011 | 2.313000 | 100.000000 |
| 13743 | Belgium | BEL | 2012 | 2.268000 | 100.000000 |
| 14007 | Belgium | BEL | 2013 | 2.224000 | 100.000000 |
| 14271 | Belgium | BEL | 2014 | 2.182000 | 100.000000 |
| 14535 | Belgium | BEL | 2015 | 2.142000 | 100.000000 |
| 14799 | Belgium | BEL | 2016 | 2.103000 | 100.000000 |
| 15063 | Belgium | BEL | 2017 | 2.066000 | NaN |
| 24 | Belize | BLZ | 1960 | 45.972000 | NaN |
| 288 | Belize | BLZ | 1961 | 46.280000 | NaN |
| 552 | Belize | BLZ | 1962 | 46.590000 | NaN |
| 816 | Belize | BLZ | 1963 | 46.899000 | NaN |
| 1080 | Belize | BLZ | 1964 | 47.210000 | NaN |
| 1344 | Belize | BLZ | 1965 | 47.519000 | NaN |
| 1608 | Belize | BLZ | 1966 | 47.830000 | NaN |
| 1872 | Belize | BLZ | 1967 | 48.140000 | NaN |
| 2136 | Belize | BLZ | 1968 | 48.451000 | NaN |
| 2400 | Belize | BLZ | 1969 | 48.762000 | NaN |
| 2664 | Belize | BLZ | 1970 | 49.037000 | NaN |
| 2928 | Belize | BLZ | 1971 | 49.195000 | NaN |
| 3192 | Belize | BLZ | 1972 | 49.354000 | NaN |
| 3456 | Belize | BLZ | 1973 | 49.512000 | NaN |
| 3720 | Belize | BLZ | 1974 | 49.671000 | NaN |
| 3984 | Belize | BLZ | 1975 | 49.829000 | NaN |
| 4248 | Belize | BLZ | 1976 | 49.988000 | NaN |
| 4512 | Belize | BLZ | 1977 | 50.146000 | NaN |
| 4776 | Belize | BLZ | 1978 | 50.305000 | NaN |
| 5040 | Belize | BLZ | 1979 | 50.463000 | NaN |
| 5304 | Belize | BLZ | 1980 | 50.626000 | NaN |
| 5568 | Belize | BLZ | 1981 | 50.817000 | NaN |
| 5832 | Belize | BLZ | 1982 | 51.008000 | NaN |
| 6096 | Belize | BLZ | 1983 | 51.199000 | NaN |
| 6360 | Belize | BLZ | 1984 | 51.390000 | NaN |
| 6624 | Belize | BLZ | 1985 | 51.581000 | NaN |
| 6888 | Belize | BLZ | 1986 | 51.772000 | NaN |
| 7152 | Belize | BLZ | 1987 | 51.963000 | NaN |
| 7416 | Belize | BLZ | 1988 | 52.154000 | NaN |
| 7680 | Belize | BLZ | 1989 | 52.345000 | NaN |
| 7944 | Belize | BLZ | 1990 | 52.535000 | 87.964737 |
| 8208 | Belize | BLZ | 1991 | 52.694000 | 88.189644 |
| 8472 | Belize | BLZ | 1992 | 52.649000 | 88.414040 |
| 8736 | Belize | BLZ | 1993 | 52.605000 | 88.635384 |
| 9000 | Belize | BLZ | 1994 | 52.561000 | 88.850601 |
| 9264 | Belize | BLZ | 1995 | 52.516000 | 89.056648 |
| 9528 | Belize | BLZ | 1996 | 52.472000 | 89.250458 |
| 9792 | Belize | BLZ | 1997 | 52.427000 | 89.428970 |
| 10056 | Belize | BLZ | 1998 | 52.383000 | 89.589127 |
| 10320 | Belize | BLZ | 1999 | 52.338000 | 89.727867 |
| 10584 | Belize | BLZ | 2000 | 52.337000 | 89.843658 |
| 10848 | Belize | BLZ | 2001 | 52.608000 | 89.941040 |
| 11112 | Belize | BLZ | 2002 | 52.878000 | 90.026077 |
| 11376 | Belize | BLZ | 2003 | 53.149000 | 90.104828 |
| 11640 | Belize | BLZ | 2004 | 53.420000 | 90.183357 |
| 11904 | Belize | BLZ | 2005 | 53.689000 | 90.267731 |
| 12168 | Belize | BLZ | 2006 | 53.959000 | 90.988531 |
| 12432 | Belize | BLZ | 2007 | 54.229000 | 90.478256 |
| 12696 | Belize | BLZ | 2008 | 54.499000 | 90.615021 |
| 12960 | Belize | BLZ | 2009 | 54.768000 | 90.772812 |
| 13224 | Belize | BLZ | 2010 | 55.037000 | 89.917224 |
| 13488 | Belize | BLZ | 2011 | 55.282000 | 91.681736 |
| 13752 | Belize | BLZ | 2012 | 55.504000 | 91.342323 |
| 14016 | Belize | BLZ | 2013 | 55.702000 | 91.554184 |
| 14280 | Belize | BLZ | 2014 | 55.876000 | 91.772057 |
| 14544 | Belize | BLZ | 2015 | 56.027000 | 91.800000 |
| 14808 | Belize | BLZ | 2016 | 56.155000 | 92.214317 |
| 15072 | Belize | BLZ | 2017 | 56.258000 | NaN |
| 16 | Benin | BEN | 1960 | 90.725000 | NaN |
| 280 | Benin | BEN | 1961 | 90.144000 | NaN |
| 544 | Benin | BEN | 1962 | 89.530000 | NaN |
| 808 | Benin | BEN | 1963 | 88.882000 | NaN |
| 1072 | Benin | BEN | 1964 | 88.199000 | NaN |
| 1336 | Benin | BEN | 1965 | 87.481000 | NaN |
| 1600 | Benin | BEN | 1966 | 86.725000 | NaN |
| 1864 | Benin | BEN | 1967 | 85.931000 | NaN |
| 2128 | Benin | BEN | 1968 | 85.097000 | NaN |
| 2392 | Benin | BEN | 1969 | 84.224000 | NaN |
| 2656 | Benin | BEN | 1970 | 83.309000 | NaN |
| 2920 | Benin | BEN | 1971 | 82.353000 | NaN |
| 3184 | Benin | BEN | 1972 | 81.352000 | NaN |
| 3448 | Benin | BEN | 1973 | 80.311000 | NaN |
| 3712 | Benin | BEN | 1974 | 79.225000 | NaN |
| 3976 | Benin | BEN | 1975 | 78.096000 | NaN |
| 4240 | Benin | BEN | 1976 | 76.921000 | NaN |
| 4504 | Benin | BEN | 1977 | 75.707000 | NaN |
| 4768 | Benin | BEN | 1978 | 74.448000 | NaN |
| 5032 | Benin | BEN | 1979 | 73.324000 | NaN |
| 5296 | Benin | BEN | 1980 | 72.661000 | NaN |
| 5560 | Benin | BEN | 1981 | 71.990000 | NaN |
| 5824 | Benin | BEN | 1982 | 71.308000 | NaN |
| 6088 | Benin | BEN | 1983 | 70.616000 | NaN |
| 6352 | Benin | BEN | 1984 | 69.914000 | NaN |
| 6616 | Benin | BEN | 1985 | 69.204000 | NaN |
| 6880 | Benin | BEN | 1986 | 68.483000 | NaN |
| 7144 | Benin | BEN | 1987 | 67.754000 | NaN |
| 7408 | Benin | BEN | 1988 | 67.015000 | NaN |
| 7672 | Benin | BEN | 1989 | 66.270000 | NaN |
| 7936 | Benin | BEN | 1990 | 65.515000 | 7.311272 |
| 8200 | Benin | BEN | 1991 | 64.753000 | 8.683941 |
| 8464 | Benin | BEN | 1992 | 64.173000 | 10.056100 |
| 8728 | Benin | BEN | 1993 | 63.864000 | 11.425200 |
| 8992 | Benin | BEN | 1994 | 63.553000 | 12.788180 |
| 9256 | Benin | BEN | 1995 | 63.242000 | 14.141985 |
| 9520 | Benin | BEN | 1996 | 62.929000 | 14.500000 |
| 9784 | Benin | BEN | 1997 | 62.615000 | 16.809824 |
| 10048 | Benin | BEN | 1998 | 62.301000 | 18.117743 |
| 10312 | Benin | BEN | 1999 | 61.985000 | 19.404245 |
| 10576 | Benin | BEN | 2000 | 61.667000 | 20.667797 |
| 10840 | Benin | BEN | 2001 | 61.350000 | 21.900000 |
| 11104 | Benin | BEN | 2002 | 61.031000 | 23.145733 |
| 11368 | Benin | BEN | 2003 | 60.703000 | 24.372244 |
| 11632 | Benin | BEN | 2004 | 60.365000 | 25.598536 |
| 11896 | Benin | BEN | 2005 | 60.018000 | 26.830667 |
| 12160 | Benin | BEN | 2006 | 59.662000 | 27.900000 |
| 12424 | Benin | BEN | 2007 | 59.297000 | 29.336712 |
| 12688 | Benin | BEN | 2008 | 58.922000 | 30.621239 |
| 12952 | Benin | BEN | 2009 | 58.539000 | 31.926792 |
| 13216 | Benin | BEN | 2010 | 58.146000 | 34.200000 |
| 13480 | Benin | BEN | 2011 | 57.744000 | 36.900000 |
| 13744 | Benin | BEN | 2012 | 57.333000 | 38.400000 |
| 14008 | Benin | BEN | 2013 | 56.914000 | 37.299206 |
| 14272 | Benin | BEN | 2014 | 56.486000 | 34.100000 |
| 14536 | Benin | BEN | 2015 | 56.050000 | 40.033478 |
| 14800 | Benin | BEN | 2016 | 55.605000 | 41.402615 |
| 15064 | Benin | BEN | 2017 | 55.153000 | NaN |
| 25 | Bermuda | BMU | 1960 | 0.000000 | NaN |
| 289 | Bermuda | BMU | 1961 | 0.000000 | NaN |
| 553 | Bermuda | BMU | 1962 | 0.000000 | NaN |
| 817 | Bermuda | BMU | 1963 | 0.000000 | NaN |
| 1081 | Bermuda | BMU | 1964 | 0.000000 | NaN |
| 1345 | Bermuda | BMU | 1965 | 0.000000 | NaN |
| 1609 | Bermuda | BMU | 1966 | 0.000000 | NaN |
| 1873 | Bermuda | BMU | 1967 | 0.000000 | NaN |
| 2137 | Bermuda | BMU | 1968 | 0.000000 | NaN |
| 2401 | Bermuda | BMU | 1969 | 0.000000 | NaN |
| 2665 | Bermuda | BMU | 1970 | 0.000000 | NaN |
| 2929 | Bermuda | BMU | 1971 | 0.000000 | NaN |
| 3193 | Bermuda | BMU | 1972 | 0.000000 | NaN |
| 3457 | Bermuda | BMU | 1973 | 0.000000 | NaN |
| 3721 | Bermuda | BMU | 1974 | 0.000000 | NaN |
| 3985 | Bermuda | BMU | 1975 | 0.000000 | NaN |
| 4249 | Bermuda | BMU | 1976 | 0.000000 | NaN |
| 4513 | Bermuda | BMU | 1977 | 0.000000 | NaN |
| 4777 | Bermuda | BMU | 1978 | 0.000000 | NaN |
| 5041 | Bermuda | BMU | 1979 | 0.000000 | NaN |
| 5305 | Bermuda | BMU | 1980 | 0.000000 | NaN |
| 5569 | Bermuda | BMU | 1981 | 0.000000 | NaN |
| 5833 | Bermuda | BMU | 1982 | 0.000000 | NaN |
| 6097 | Bermuda | BMU | 1983 | 0.000000 | NaN |
| 6361 | Bermuda | BMU | 1984 | 0.000000 | NaN |
| 6625 | Bermuda | BMU | 1985 | 0.000000 | NaN |
| 6889 | Bermuda | BMU | 1986 | 0.000000 | NaN |
| 7153 | Bermuda | BMU | 1987 | 0.000000 | NaN |
| 7417 | Bermuda | BMU | 1988 | 0.000000 | NaN |
| 7681 | Bermuda | BMU | 1989 | 0.000000 | NaN |
| 7945 | Bermuda | BMU | 1990 | 0.000000 | 100.000000 |
| 8209 | Bermuda | BMU | 1991 | 0.000000 | 100.000000 |
| 8473 | Bermuda | BMU | 1992 | 0.000000 | 100.000000 |
| 8737 | Bermuda | BMU | 1993 | 0.000000 | 100.000000 |
| 9001 | Bermuda | BMU | 1994 | 0.000000 | 100.000000 |
| 9265 | Bermuda | BMU | 1995 | 0.000000 | 100.000000 |
| 9529 | Bermuda | BMU | 1996 | 0.000000 | 100.000000 |
| 9793 | Bermuda | BMU | 1997 | 0.000000 | 100.000000 |
| 10057 | Bermuda | BMU | 1998 | 0.000000 | 100.000000 |
| 10321 | Bermuda | BMU | 1999 | 0.000000 | 100.000000 |
| 10585 | Bermuda | BMU | 2000 | 0.000000 | 100.000000 |
| 10849 | Bermuda | BMU | 2001 | 0.000000 | 100.000000 |
| 11113 | Bermuda | BMU | 2002 | 0.000000 | 100.000000 |
| 11377 | Bermuda | BMU | 2003 | 0.000000 | 100.000000 |
| 11641 | Bermuda | BMU | 2004 | 0.000000 | 100.000000 |
| 11905 | Bermuda | BMU | 2005 | 0.000000 | 100.000000 |
| 12169 | Bermuda | BMU | 2006 | 0.000000 | 100.000000 |
| 12433 | Bermuda | BMU | 2007 | 0.000000 | 100.000000 |
| 12697 | Bermuda | BMU | 2008 | 0.000000 | 100.000000 |
| 12961 | Bermuda | BMU | 2009 | 0.000000 | 100.000000 |
| 13225 | Bermuda | BMU | 2010 | 0.000000 | 100.000000 |
| 13489 | Bermuda | BMU | 2011 | 0.000000 | 100.000000 |
| 13753 | Bermuda | BMU | 2012 | 0.000000 | 100.000000 |
| 14017 | Bermuda | BMU | 2013 | 0.000000 | 100.000000 |
| 14281 | Bermuda | BMU | 2014 | 0.000000 | 100.000000 |
| 14545 | Bermuda | BMU | 2015 | 0.000000 | 100.000000 |
| 14809 | Bermuda | BMU | 2016 | 0.000000 | 100.000000 |
| 15073 | Bermuda | BMU | 2017 | 0.000000 | NaN |
| 30 | Bhutan | BTN | 1960 | 96.404000 | NaN |
| 294 | Bhutan | BTN | 1961 | 96.208000 | NaN |
| 558 | Bhutan | BTN | 1962 | 96.001000 | NaN |
| 822 | Bhutan | BTN | 1963 | 95.783000 | NaN |
| 1086 | Bhutan | BTN | 1964 | 95.554000 | NaN |
| 1350 | Bhutan | BTN | 1965 | 95.313000 | NaN |
| 1614 | Bhutan | BTN | 1966 | 95.060000 | NaN |
| 1878 | Bhutan | BTN | 1967 | 94.793000 | NaN |
| 2142 | Bhutan | BTN | 1968 | 94.513000 | NaN |
| 2406 | Bhutan | BTN | 1969 | 94.219000 | NaN |
| 2670 | Bhutan | BTN | 1970 | 93.911000 | NaN |
| 2934 | Bhutan | BTN | 1971 | 93.587000 | NaN |
| 3198 | Bhutan | BTN | 1972 | 93.246000 | NaN |
| 3462 | Bhutan | BTN | 1973 | 92.890000 | NaN |
| 3726 | Bhutan | BTN | 1974 | 92.516000 | NaN |
| 3990 | Bhutan | BTN | 1975 | 92.124000 | NaN |
| 4254 | Bhutan | BTN | 1976 | 91.712000 | NaN |
| 4518 | Bhutan | BTN | 1977 | 91.283000 | NaN |
| 4782 | Bhutan | BTN | 1978 | 90.832000 | NaN |
| 5046 | Bhutan | BTN | 1979 | 90.361000 | NaN |
| 5310 | Bhutan | BTN | 1980 | 89.868000 | NaN |
| 5574 | Bhutan | BTN | 1981 | 89.354000 | NaN |
| 5838 | Bhutan | BTN | 1982 | 88.816000 | NaN |
| 6102 | Bhutan | BTN | 1983 | 88.255000 | NaN |
| 6366 | Bhutan | BTN | 1984 | 87.668000 | NaN |
| 6630 | Bhutan | BTN | 1985 | 87.059000 | NaN |
| 6894 | Bhutan | BTN | 1986 | 86.423000 | NaN |
| 7158 | Bhutan | BTN | 1987 | 85.760000 | NaN |
| 7422 | Bhutan | BTN | 1988 | 85.071000 | NaN |
| 7686 | Bhutan | BTN | 1989 | 84.355000 | NaN |
| 7950 | Bhutan | BTN | 1990 | 83.612000 | 0.010000 |
| 8214 | Bhutan | BTN | 1991 | 82.839000 | 0.481655 |
| 8478 | Bhutan | BTN | 1992 | 82.038000 | 1.834140 |
| 8742 | Bhutan | BTN | 1993 | 81.209000 | 3.678617 |
| 9006 | Bhutan | BTN | 1994 | 80.351000 | 8.184188 |
| 9270 | Bhutan | BTN | 1995 | 79.463000 | 12.680581 |
| 9534 | Bhutan | BTN | 1996 | 78.544000 | 17.164740 |
| 9798 | Bhutan | BTN | 1997 | 77.599000 | 21.633600 |
| 10062 | Bhutan | BTN | 1998 | 76.623000 | 26.084108 |
| 10326 | Bhutan | BTN | 1999 | 75.617000 | 30.513201 |
| 10590 | Bhutan | BTN | 2000 | 74.582000 | 34.919342 |
| 10854 | Bhutan | BTN | 2001 | 73.520000 | 39.307076 |
| 11118 | Bhutan | BTN | 2002 | 72.430000 | 43.682457 |
| 11382 | Bhutan | BTN | 2003 | 71.312000 | 41.100000 |
| 11646 | Bhutan | BTN | 2004 | 70.165000 | 52.420437 |
| 11910 | Bhutan | BTN | 2005 | 69.035000 | 59.808112 |
| 12174 | Bhutan | BTN | 2006 | 68.288000 | 61.181789 |
| 12438 | Bhutan | BTN | 2007 | 67.531000 | 71.800000 |
| 12702 | Bhutan | BTN | 2008 | 66.764000 | 70.013504 |
| 12966 | Bhutan | BTN | 2009 | 65.990000 | 74.461647 |
| 13230 | Bhutan | BTN | 2010 | 65.207000 | 73.282911 |
| 13494 | Bhutan | BTN | 2011 | 64.415000 | 83.408997 |
| 13758 | Bhutan | BTN | 2012 | 63.632000 | 91.500000 |
| 14022 | Bhutan | BTN | 2013 | 62.861000 | 92.404419 |
| 14286 | Bhutan | BTN | 2014 | 62.102000 | 96.912643 |
| 14550 | Bhutan | BTN | 2015 | 61.356000 | 98.423523 |
| 14814 | Bhutan | BTN | 2016 | 60.623000 | 100.000000 |
| 15078 | Bhutan | BTN | 2017 | 59.905000 | NaN |
| 26 | Bolivia | BOL | 1960 | 63.238000 | NaN |
| 290 | Bolivia | BOL | 1961 | 62.941000 | NaN |
| 554 | Bolivia | BOL | 1962 | 62.643000 | NaN |
| 818 | Bolivia | BOL | 1963 | 62.344000 | NaN |
| 1082 | Bolivia | BOL | 1964 | 62.043000 | NaN |
| 1346 | Bolivia | BOL | 1965 | 61.743000 | NaN |
| 1610 | Bolivia | BOL | 1966 | 61.441000 | NaN |
| 1874 | Bolivia | BOL | 1967 | 61.138000 | NaN |
| 2138 | Bolivia | BOL | 1968 | 60.834000 | NaN |
| 2402 | Bolivia | BOL | 1969 | 60.530000 | NaN |
| 2666 | Bolivia | BOL | 1970 | 60.224000 | NaN |
| 2930 | Bolivia | BOL | 1971 | 59.918000 | NaN |
| 3194 | Bolivia | BOL | 1972 | 59.611000 | NaN |
| 3458 | Bolivia | BOL | 1973 | 59.304000 | NaN |
| 3722 | Bolivia | BOL | 1974 | 58.996000 | NaN |
| 3986 | Bolivia | BOL | 1975 | 58.686000 | NaN |
| 4250 | Bolivia | BOL | 1976 | 58.376000 | NaN |
| 4514 | Bolivia | BOL | 1977 | 57.554000 | NaN |
| 4778 | Bolivia | BOL | 1978 | 56.558000 | NaN |
| 5042 | Bolivia | BOL | 1979 | 55.557000 | NaN |
| 5306 | Bolivia | BOL | 1980 | 54.549000 | NaN |
| 5570 | Bolivia | BOL | 1981 | 53.541000 | NaN |
| 5834 | Bolivia | BOL | 1982 | 52.528000 | NaN |
| 6098 | Bolivia | BOL | 1983 | 51.514000 | NaN |
| 6362 | Bolivia | BOL | 1984 | 50.496000 | NaN |
| 6626 | Bolivia | BOL | 1985 | 49.481000 | NaN |
| 6890 | Bolivia | BOL | 1986 | 48.465000 | NaN |
| 7154 | Bolivia | BOL | 1987 | 47.451000 | NaN |
| 7418 | Bolivia | BOL | 1988 | 46.437000 | NaN |
| 7682 | Bolivia | BOL | 1989 | 45.429000 | NaN |
| 7946 | Bolivia | BOL | 1990 | 44.423000 | 56.382168 |
| 8210 | Bolivia | BOL | 1991 | 43.421000 | 57.853516 |
| 8474 | Bolivia | BOL | 1992 | 42.452000 | 59.324348 |
| 8738 | Bolivia | BOL | 1993 | 41.833000 | 60.792126 |
| 9002 | Bolivia | BOL | 1994 | 41.215000 | 64.100000 |
| 9266 | Bolivia | BOL | 1995 | 40.600000 | 63.706268 |
| 9530 | Bolivia | BOL | 1996 | 40.109000 | 71.000000 |
| 9794 | Bolivia | BOL | 1997 | 39.620000 | 67.330431 |
| 10058 | Bolivia | BOL | 1998 | 39.134000 | 71.200000 |
| 10322 | Bolivia | BOL | 1999 | 38.649000 | 70.929888 |
| 10586 | Bolivia | BOL | 2000 | 38.166000 | 69.963045 |
| 10850 | Bolivia | BOL | 2001 | 37.687000 | 69.258539 |
| 11114 | Bolivia | BOL | 2002 | 37.209000 | 63.996855 |
| 11378 | Bolivia | BOL | 2003 | 36.736000 | 72.300000 |
| 11642 | Bolivia | BOL | 2004 | 36.268000 | 76.050919 |
| 11906 | Bolivia | BOL | 2005 | 35.806000 | 68.288209 |
| 12170 | Bolivia | BOL | 2006 | 35.348000 | 76.211281 |
| 12434 | Bolivia | BOL | 2007 | 34.896000 | 80.156567 |
| 12698 | Bolivia | BOL | 2008 | 34.450000 | 84.674991 |
| 12962 | Bolivia | BOL | 2009 | 34.009000 | 86.765597 |
| 13226 | Bolivia | BOL | 2010 | 33.574000 | 84.294815 |
| 13490 | Bolivia | BOL | 2011 | 33.145000 | 88.335943 |
| 13754 | Bolivia | BOL | 2012 | 32.721000 | 90.387375 |
| 14018 | Bolivia | BOL | 2013 | 32.304000 | 89.505686 |
| 14282 | Bolivia | BOL | 2014 | 31.893000 | 90.038729 |
| 14546 | Bolivia | BOL | 2015 | 31.488000 | 91.522822 |
| 14810 | Bolivia | BOL | 2016 | 31.089000 | 93.039131 |
| 15074 | Bolivia | BOL | 2017 | 30.697000 | NaN |
| 22 | Bosnia and Herzegovina | BIH | 1960 | 80.960000 | NaN |
| 286 | Bosnia and Herzegovina | BIH | 1961 | 80.314000 | NaN |
| 550 | Bosnia and Herzegovina | BIH | 1962 | 79.563000 | NaN |
| 814 | Bosnia and Herzegovina | BIH | 1963 | 78.791000 | NaN |
| 1078 | Bosnia and Herzegovina | BIH | 1964 | 77.996000 | NaN |
| 1342 | Bosnia and Herzegovina | BIH | 1965 | 77.183000 | NaN |
| 1606 | Bosnia and Herzegovina | BIH | 1966 | 76.348000 | NaN |
| 1870 | Bosnia and Herzegovina | BIH | 1967 | 75.491000 | NaN |
| 2134 | Bosnia and Herzegovina | BIH | 1968 | 74.613000 | NaN |
| 2398 | Bosnia and Herzegovina | BIH | 1969 | 73.717000 | NaN |
| 2662 | Bosnia and Herzegovina | BIH | 1970 | 72.799000 | NaN |
| 2926 | Bosnia and Herzegovina | BIH | 1971 | 71.906000 | NaN |
| 3190 | Bosnia and Herzegovina | BIH | 1972 | 71.125000 | NaN |
| 3454 | Bosnia and Herzegovina | BIH | 1973 | 70.334000 | NaN |
| 3718 | Bosnia and Herzegovina | BIH | 1974 | 69.529000 | NaN |
| 3982 | Bosnia and Herzegovina | BIH | 1975 | 68.712000 | NaN |
| 4246 | Bosnia and Herzegovina | BIH | 1976 | 67.882000 | NaN |
| 4510 | Bosnia and Herzegovina | BIH | 1977 | 67.043000 | NaN |
| 4774 | Bosnia and Herzegovina | BIH | 1978 | 66.192000 | NaN |
| 5038 | Bosnia and Herzegovina | BIH | 1979 | 65.330000 | NaN |
| 5302 | Bosnia and Herzegovina | BIH | 1980 | 64.457000 | NaN |
| 5566 | Bosnia and Herzegovina | BIH | 1981 | 63.718000 | NaN |
| 5830 | Bosnia and Herzegovina | BIH | 1982 | 63.393000 | NaN |
| 6094 | Bosnia and Herzegovina | BIH | 1983 | 63.067000 | NaN |
| 6358 | Bosnia and Herzegovina | BIH | 1984 | 62.739000 | NaN |
| 6622 | Bosnia and Herzegovina | BIH | 1985 | 62.411000 | NaN |
| 6886 | Bosnia and Herzegovina | BIH | 1986 | 62.081000 | NaN |
| 7150 | Bosnia and Herzegovina | BIH | 1987 | 61.750000 | NaN |
| 7414 | Bosnia and Herzegovina | BIH | 1988 | 61.417000 | NaN |
| 7678 | Bosnia and Herzegovina | BIH | 1989 | 61.085000 | NaN |
| 7942 | Bosnia and Herzegovina | BIH | 1990 | 60.751000 | 96.885651 |
| 8206 | Bosnia and Herzegovina | BIH | 1991 | 60.505000 | 97.112236 |
| 8470 | Bosnia and Herzegovina | BIH | 1992 | 60.526000 | 97.338310 |
| 8734 | Bosnia and Herzegovina | BIH | 1993 | 60.547000 | 97.561325 |
| 8998 | Bosnia and Herzegovina | BIH | 1994 | 60.568000 | 97.778221 |
| 9262 | Bosnia and Herzegovina | BIH | 1995 | 60.589000 | 97.985939 |
| 9526 | Bosnia and Herzegovina | BIH | 1996 | 60.610000 | 98.169952 |
| 9790 | Bosnia and Herzegovina | BIH | 1997 | 60.631000 | 98.347870 |
| 10054 | Bosnia and Herzegovina | BIH | 1998 | 60.652000 | 98.507721 |
| 10318 | Bosnia and Herzegovina | BIH | 1999 | 60.673000 | 98.647644 |
| 10582 | Bosnia and Herzegovina | BIH | 2000 | 60.694000 | 98.767853 |
| 10846 | Bosnia and Herzegovina | BIH | 2001 | 60.715000 | 99.400000 |
| 11110 | Bosnia and Herzegovina | BIH | 2002 | 60.736000 | 98.500000 |
| 11374 | Bosnia and Herzegovina | BIH | 2003 | 60.756000 | 99.047356 |
| 11638 | Bosnia and Herzegovina | BIH | 2004 | 60.777000 | 99.132111 |
| 11902 | Bosnia and Herzegovina | BIH | 2005 | 60.798000 | 99.222679 |
| 12166 | Bosnia and Herzegovina | BIH | 2006 | 60.819000 | 99.387277 |
| 12430 | Bosnia and Herzegovina | BIH | 2007 | 60.840000 | 99.700000 |
| 12694 | Bosnia and Herzegovina | BIH | 2008 | 60.839000 | 99.580040 |
| 12958 | Bosnia and Herzegovina | BIH | 2009 | 60.817000 | 99.725403 |
| 13222 | Bosnia and Herzegovina | BIH | 2010 | 60.774000 | 99.855759 |
| 13486 | Bosnia and Herzegovina | BIH | 2011 | 60.709000 | 99.705781 |
| 13750 | Bosnia and Herzegovina | BIH | 2012 | 60.622000 | 99.986618 |
| 14014 | Bosnia and Herzegovina | BIH | 2013 | 60.514000 | 99.998489 |
| 14278 | Bosnia and Herzegovina | BIH | 2014 | 60.384000 | 100.000000 |
| 14542 | Bosnia and Herzegovina | BIH | 2015 | 60.233000 | 100.000000 |
| 14806 | Bosnia and Herzegovina | BIH | 2016 | 60.060000 | 100.000000 |
| 15070 | Bosnia and Herzegovina | BIH | 2017 | 59.865000 | NaN |
| 31 | Botswana | BWA | 1960 | 96.940000 | NaN |
| 295 | Botswana | BWA | 1961 | 96.903000 | NaN |
| 559 | Botswana | BWA | 1962 | 96.866000 | NaN |
| 823 | Botswana | BWA | 1963 | 96.829000 | NaN |
| 1087 | Botswana | BWA | 1964 | 96.682000 | NaN |
| 1351 | Botswana | BWA | 1965 | 96.161000 | NaN |
| 1615 | Botswana | BWA | 1966 | 95.563000 | NaN |
| 1879 | Botswana | BWA | 1967 | 94.876000 | NaN |
| 2143 | Botswana | BWA | 1968 | 94.088000 | NaN |
| 2407 | Botswana | BWA | 1969 | 93.190000 | NaN |
| 2671 | Botswana | BWA | 1970 | 92.166000 | NaN |
| 2935 | Botswana | BWA | 1971 | 91.002000 | NaN |
| 3199 | Botswana | BWA | 1972 | 90.305000 | NaN |
| 3463 | Botswana | BWA | 1973 | 89.619000 | NaN |
| 3727 | Botswana | BWA | 1974 | 88.890000 | NaN |
| 3991 | Botswana | BWA | 1975 | 88.116000 | NaN |
| 4255 | Botswana | BWA | 1976 | 87.295000 | NaN |
| 4519 | Botswana | BWA | 1977 | 86.428000 | NaN |
| 4783 | Botswana | BWA | 1978 | 85.511000 | NaN |
| 5047 | Botswana | BWA | 1979 | 84.543000 | NaN |
| 5311 | Botswana | BWA | 1980 | 83.521000 | NaN |
| 5575 | Botswana | BWA | 1981 | 82.448000 | NaN |
| 5839 | Botswana | BWA | 1982 | 80.511000 | NaN |
| 6103 | Botswana | BWA | 1983 | 78.277000 | NaN |
| 6367 | Botswana | BWA | 1984 | 75.861000 | NaN |
| 6631 | Botswana | BWA | 1985 | 73.276000 | NaN |
| 6895 | Botswana | BWA | 1986 | 70.517000 | NaN |
| 7159 | Botswana | BWA | 1987 | 67.599000 | NaN |
| 7423 | Botswana | BWA | 1988 | 64.533000 | NaN |
| 7687 | Botswana | BWA | 1989 | 61.352000 | NaN |
| 7951 | Botswana | BWA | 1990 | 58.067000 | 6.043880 |
| 8215 | Botswana | BWA | 1991 | 54.708000 | 10.100000 |
| 8479 | Botswana | BWA | 1992 | 53.557000 | 10.369721 |
| 8743 | Botswana | BWA | 1993 | 52.714000 | 12.529327 |
| 9007 | Botswana | BWA | 1994 | 51.867000 | 14.682816 |
| 9271 | Botswana | BWA | 1995 | 51.019000 | 16.827127 |
| 9535 | Botswana | BWA | 1996 | 50.170000 | 18.959202 |
| 9799 | Botswana | BWA | 1997 | 49.323000 | 21.075979 |
| 10063 | Botswana | BWA | 1998 | 48.475000 | 23.174404 |
| 10327 | Botswana | BWA | 1999 | 47.628000 | 25.251415 |
| 10591 | Botswana | BWA | 2000 | 46.781000 | 27.305473 |
| 10855 | Botswana | BWA | 2001 | 45.938000 | 24.800000 |
| 11119 | Botswana | BWA | 2002 | 45.626000 | 31.364422 |
| 11383 | Botswana | BWA | 2003 | 45.393000 | 33.381439 |
| 11647 | Botswana | BWA | 2004 | 45.159000 | 35.398235 |
| 11911 | Botswana | BWA | 2005 | 44.927000 | 37.420876 |
| 12175 | Botswana | BWA | 2006 | 44.694000 | 39.455421 |
| 12439 | Botswana | BWA | 2007 | 44.461000 | 41.507935 |
| 12703 | Botswana | BWA | 2008 | 44.228000 | 43.100000 |
| 12967 | Botswana | BWA | 2009 | 43.996000 | 45.679028 |
| 13231 | Botswana | BWA | 2010 | 43.765000 | 47.793114 |
| 13495 | Botswana | BWA | 2011 | 43.533000 | 53.240000 |
| 13759 | Botswana | BWA | 2012 | 43.301000 | 52.063339 |
| 14023 | Botswana | BWA | 2013 | 43.062000 | 54.213470 |
| 14287 | Botswana | BWA | 2014 | 42.813000 | 56.369610 |
| 14551 | Botswana | BWA | 2015 | 42.556000 | 58.528751 |
| 14815 | Botswana | BWA | 2016 | 42.290000 | 60.688396 |
| 15079 | Botswana | BWA | 2017 | 42.016000 | NaN |
| 27 | Brazil | BRA | 1960 | 53.861000 | NaN |
| 291 | Brazil | BRA | 1961 | 52.878000 | NaN |
| 555 | Brazil | BRA | 1962 | 51.901000 | NaN |
| 819 | Brazil | BRA | 1963 | 50.922000 | NaN |
| 1083 | Brazil | BRA | 1964 | 49.941000 | NaN |
| 1347 | Brazil | BRA | 1965 | 48.963000 | NaN |
| 1611 | Brazil | BRA | 1966 | 47.984000 | NaN |
| 1875 | Brazil | BRA | 1967 | 47.007000 | NaN |
| 2139 | Brazil | BRA | 1968 | 46.030000 | NaN |
| 2403 | Brazil | BRA | 1969 | 45.060000 | NaN |
| 2667 | Brazil | BRA | 1970 | 44.091000 | NaN |
| 2931 | Brazil | BRA | 1971 | 43.106000 | NaN |
| 3195 | Brazil | BRA | 1972 | 42.121000 | NaN |
| 3459 | Brazil | BRA | 1973 | 41.145000 | NaN |
| 3723 | Brazil | BRA | 1974 | 40.174000 | NaN |
| 3987 | Brazil | BRA | 1975 | 39.211000 | NaN |
| 4251 | Brazil | BRA | 1976 | 38.255000 | NaN |
| 4515 | Brazil | BRA | 1977 | 37.311000 | NaN |
| 4779 | Brazil | BRA | 1978 | 36.375000 | NaN |
| 5043 | Brazil | BRA | 1979 | 35.449000 | NaN |
| 5307 | Brazil | BRA | 1980 | 34.532000 | NaN |
| 5571 | Brazil | BRA | 1981 | 33.630000 | NaN |
| 5835 | Brazil | BRA | 1982 | 32.738000 | NaN |
| 6099 | Brazil | BRA | 1983 | 31.858000 | NaN |
| 6363 | Brazil | BRA | 1984 | 30.990000 | NaN |
| 6627 | Brazil | BRA | 1985 | 30.138000 | NaN |
| 6891 | Brazil | BRA | 1986 | 29.297000 | NaN |
| 7155 | Brazil | BRA | 1987 | 28.471000 | NaN |
| 7419 | Brazil | BRA | 1988 | 27.658000 | NaN |
| 7683 | Brazil | BRA | 1989 | 26.861000 | NaN |
| 7947 | Brazil | BRA | 1990 | 26.078000 | 87.475116 |
| 8211 | Brazil | BRA | 1991 | 25.310000 | 89.835625 |
| 8475 | Brazil | BRA | 1992 | 24.556000 | 88.803833 |
| 8739 | Brazil | BRA | 1993 | 23.819000 | 89.999927 |
| 9003 | Brazil | BRA | 1994 | 23.097000 | 91.488892 |
| 9267 | Brazil | BRA | 1995 | 22.390000 | 91.728598 |
| 9531 | Brazil | BRA | 1996 | 21.698000 | 92.867095 |
| 9795 | Brazil | BRA | 1997 | 20.952000 | 93.354139 |
| 10059 | Brazil | BRA | 1998 | 20.219000 | 94.193812 |
| 10323 | Brazil | BRA | 1999 | 19.504000 | 94.762960 |
| 10587 | Brazil | BRA | 2000 | 18.808000 | 94.466568 |
| 10851 | Brazil | BRA | 2001 | 18.447000 | 96.016528 |
| 11115 | Brazil | BRA | 2002 | 18.120000 | 96.652996 |
| 11379 | Brazil | BRA | 2003 | 17.797000 | 96.980098 |
| 11643 | Brazil | BRA | 2004 | 17.479000 | 96.765107 |
| 11907 | Brazil | BRA | 2005 | 17.166000 | 97.093513 |
| 12171 | Brazil | BRA | 2006 | 16.857000 | 97.594314 |
| 12435 | Brazil | BRA | 2007 | 16.552000 | 98.125382 |
| 12699 | Brazil | BRA | 2008 | 16.251000 | 98.526625 |
| 12963 | Brazil | BRA | 2009 | 15.956000 | 98.856938 |
| 13227 | Brazil | BRA | 2010 | 15.665000 | 98.883057 |
| 13491 | Brazil | BRA | 2011 | 15.377000 | 99.328691 |
| 13755 | Brazil | BRA | 2012 | 15.099000 | 99.519494 |
| 14019 | Brazil | BRA | 2013 | 14.829000 | 99.575151 |
| 14283 | Brazil | BRA | 2014 | 14.567000 | 99.650247 |
| 14547 | Brazil | BRA | 2015 | 14.313000 | 99.710902 |
| 14811 | Brazil | BRA | 2016 | 14.067000 | 100.000000 |
| 15075 | Brazil | BRA | 2017 | 13.828000 | NaN |
| 253 | British Virgin Islands | VGB | 1960 | 87.772000 | NaN |
| 517 | British Virgin Islands | VGB | 1961 | 87.382000 | NaN |
| 781 | British Virgin Islands | VGB | 1962 | 86.981000 | NaN |
| 1045 | British Virgin Islands | VGB | 1963 | 86.570000 | NaN |
| 1309 | British Virgin Islands | VGB | 1964 | 86.146000 | NaN |
| 1573 | British Virgin Islands | VGB | 1965 | 85.713000 | NaN |
| 1837 | British Virgin Islands | VGB | 1966 | 85.268000 | NaN |
| 2101 | British Virgin Islands | VGB | 1967 | 84.812000 | NaN |
| 2365 | British Virgin Islands | VGB | 1968 | 84.343000 | NaN |
| 2629 | British Virgin Islands | VGB | 1969 | 83.865000 | NaN |
| 2893 | British Virgin Islands | VGB | 1970 | 83.365000 | NaN |
| 3157 | British Virgin Islands | VGB | 1971 | 82.826000 | NaN |
| 3421 | British Virgin Islands | VGB | 1972 | 82.272000 | NaN |
| 3685 | British Virgin Islands | VGB | 1973 | 81.706000 | NaN |
| 3949 | British Virgin Islands | VGB | 1974 | 81.125000 | NaN |
| 4213 | British Virgin Islands | VGB | 1975 | 80.530000 | NaN |
| 4477 | British Virgin Islands | VGB | 1976 | 79.919000 | NaN |
| 4741 | British Virgin Islands | VGB | 1977 | 79.297000 | NaN |
| 5005 | British Virgin Islands | VGB | 1978 | 78.660000 | NaN |
| 5269 | British Virgin Islands | VGB | 1979 | 78.008000 | NaN |
| 5533 | British Virgin Islands | VGB | 1980 | 77.259000 | NaN |
| 5797 | British Virgin Islands | VGB | 1981 | 75.961000 | NaN |
| 6061 | British Virgin Islands | VGB | 1982 | 74.611000 | NaN |
| 6325 | British Virgin Islands | VGB | 1983 | 73.212000 | NaN |
| 6589 | British Virgin Islands | VGB | 1984 | 71.763000 | NaN |
| 6853 | British Virgin Islands | VGB | 1985 | 70.272000 | NaN |
| 7117 | British Virgin Islands | VGB | 1986 | 68.734000 | NaN |
| 7381 | British Virgin Islands | VGB | 1987 | 67.154000 | NaN |
| 7645 | British Virgin Islands | VGB | 1988 | 65.532000 | NaN |
| 7909 | British Virgin Islands | VGB | 1989 | 63.877000 | NaN |
| 8173 | British Virgin Islands | VGB | 1990 | 62.186000 | NaN |
| 8437 | British Virgin Islands | VGB | 1991 | 60.666000 | NaN |
| 8701 | British Virgin Islands | VGB | 1992 | 60.397000 | NaN |
| 8965 | British Virgin Islands | VGB | 1993 | 60.128000 | NaN |
| 9229 | British Virgin Islands | VGB | 1994 | 59.858000 | NaN |
| 9493 | British Virgin Islands | VGB | 1995 | 59.587000 | NaN |
| 9757 | British Virgin Islands | VGB | 1996 | 59.316000 | NaN |
| 10021 | British Virgin Islands | VGB | 1997 | 59.045000 | NaN |
| 10285 | British Virgin Islands | VGB | 1998 | 58.772000 | NaN |
| 10549 | British Virgin Islands | VGB | 1999 | 58.500000 | NaN |
| 10813 | British Virgin Islands | VGB | 2000 | 58.226000 | NaN |
| 11077 | British Virgin Islands | VGB | 2001 | 57.952000 | NaN |
| 11341 | British Virgin Islands | VGB | 2002 | 57.676000 | NaN |
| 11605 | British Virgin Islands | VGB | 2003 | 57.396000 | NaN |
| 11869 | British Virgin Islands | VGB | 2004 | 57.113000 | NaN |
| 12133 | British Virgin Islands | VGB | 2005 | 56.827000 | NaN |
| 12397 | British Virgin Islands | VGB | 2006 | 56.538000 | NaN |
| 12661 | British Virgin Islands | VGB | 2007 | 56.247000 | NaN |
| 12925 | British Virgin Islands | VGB | 2008 | 55.952000 | NaN |
| 13189 | British Virgin Islands | VGB | 2009 | 55.655000 | NaN |
| 13453 | British Virgin Islands | VGB | 2010 | 55.355000 | NaN |
| 13717 | British Virgin Islands | VGB | 2011 | 55.052000 | NaN |
| 13981 | British Virgin Islands | VGB | 2012 | 54.747000 | NaN |
| 14245 | British Virgin Islands | VGB | 2013 | 54.438000 | NaN |
| 14509 | British Virgin Islands | VGB | 2014 | 54.128000 | NaN |
| 14773 | British Virgin Islands | VGB | 2015 | 53.814000 | NaN |
| 15037 | British Virgin Islands | VGB | 2016 | 53.498000 | NaN |
| 15301 | British Virgin Islands | VGB | 2017 | 53.180000 | NaN |
| 29 | Brunei Darussalam | BRN | 1960 | 56.599000 | NaN |
| 293 | Brunei Darussalam | BRN | 1961 | 54.772000 | NaN |
| 557 | Brunei Darussalam | BRN | 1962 | 52.930000 | NaN |
| 821 | Brunei Darussalam | BRN | 1963 | 51.080000 | NaN |
| 1085 | Brunei Darussalam | BRN | 1964 | 49.224000 | NaN |
| 1349 | Brunei Darussalam | BRN | 1965 | 47.375000 | NaN |
| 1613 | Brunei Darussalam | BRN | 1966 | 45.531000 | NaN |
| 1877 | Brunei Darussalam | BRN | 1967 | 43.700000 | NaN |
| 2141 | Brunei Darussalam | BRN | 1968 | 41.882000 | NaN |
| 2405 | Brunei Darussalam | BRN | 1969 | 40.092000 | NaN |
| 2669 | Brunei Darussalam | BRN | 1970 | 38.325000 | NaN |
| 2933 | Brunei Darussalam | BRN | 1971 | 36.588000 | NaN |
| 3197 | Brunei Darussalam | BRN | 1972 | 36.766000 | NaN |
| 3461 | Brunei Darussalam | BRN | 1973 | 37.177000 | NaN |
| 3725 | Brunei Darussalam | BRN | 1974 | 37.591000 | NaN |
| 3989 | Brunei Darussalam | BRN | 1975 | 38.006000 | NaN |
| 4253 | Brunei Darussalam | BRN | 1976 | 38.424000 | NaN |
| 4517 | Brunei Darussalam | BRN | 1977 | 38.843000 | NaN |
| 4781 | Brunei Darussalam | BRN | 1978 | 39.263000 | NaN |
| 5045 | Brunei Darussalam | BRN | 1979 | 39.686000 | NaN |
| 5309 | Brunei Darussalam | BRN | 1980 | 40.110000 | NaN |
| 5573 | Brunei Darussalam | BRN | 1981 | 40.535000 | NaN |
| 5837 | Brunei Darussalam | BRN | 1982 | 39.966000 | NaN |
| 6101 | Brunei Darussalam | BRN | 1983 | 39.222000 | NaN |
| 6365 | Brunei Darussalam | BRN | 1984 | 38.481000 | NaN |
| 6629 | Brunei Darussalam | BRN | 1985 | 37.748000 | NaN |
| 6893 | Brunei Darussalam | BRN | 1986 | 37.020000 | NaN |
| 7157 | Brunei Darussalam | BRN | 1987 | 36.297000 | NaN |
| 7421 | Brunei Darussalam | BRN | 1988 | 35.579000 | NaN |
| 7685 | Brunei Darussalam | BRN | 1989 | 34.870000 | NaN |
| 7949 | Brunei Darussalam | BRN | 1990 | 34.167000 | 100.000000 |
| 8213 | Brunei Darussalam | BRN | 1991 | 33.470000 | 100.000000 |
| 8477 | Brunei Darussalam | BRN | 1992 | 32.922000 | 100.000000 |
| 8741 | Brunei Darussalam | BRN | 1993 | 32.396000 | 100.000000 |
| 9005 | Brunei Darussalam | BRN | 1994 | 31.874000 | 100.000000 |
| 9269 | Brunei Darussalam | BRN | 1995 | 31.356000 | 100.000000 |
| 9533 | Brunei Darussalam | BRN | 1996 | 30.842000 | 100.000000 |
| 9797 | Brunei Darussalam | BRN | 1997 | 30.334000 | 100.000000 |
| 10061 | Brunei Darussalam | BRN | 1998 | 29.830000 | 100.000000 |
| 10325 | Brunei Darussalam | BRN | 1999 | 29.331000 | 100.000000 |
| 10589 | Brunei Darussalam | BRN | 2000 | 28.836000 | 100.000000 |
| 10853 | Brunei Darussalam | BRN | 2001 | 28.348000 | 100.000000 |
| 11117 | Brunei Darussalam | BRN | 2002 | 27.864000 | 100.000000 |
| 11381 | Brunei Darussalam | BRN | 2003 | 27.394000 | 100.000000 |
| 11645 | Brunei Darussalam | BRN | 2004 | 26.939000 | 100.000000 |
| 11909 | Brunei Darussalam | BRN | 2005 | 26.497000 | 100.000000 |
| 12173 | Brunei Darussalam | BRN | 2006 | 26.069000 | 100.000000 |
| 12437 | Brunei Darussalam | BRN | 2007 | 25.655000 | 100.000000 |
| 12701 | Brunei Darussalam | BRN | 2008 | 25.254000 | 100.000000 |
| 12965 | Brunei Darussalam | BRN | 2009 | 24.866000 | 100.000000 |
| 13229 | Brunei Darussalam | BRN | 2010 | 24.490000 | 100.000000 |
| 13493 | Brunei Darussalam | BRN | 2011 | 24.128000 | 100.000000 |
| 13757 | Brunei Darussalam | BRN | 2012 | 23.777000 | 100.000000 |
| 14021 | Brunei Darussalam | BRN | 2013 | 23.439000 | 100.000000 |
| 14285 | Brunei Darussalam | BRN | 2014 | 23.113000 | 100.000000 |
| 14549 | Brunei Darussalam | BRN | 2015 | 22.798000 | 100.000000 |
| 14813 | Brunei Darussalam | BRN | 2016 | 22.495000 | 100.000000 |
| 15077 | Brunei Darussalam | BRN | 2017 | 22.203000 | NaN |
| 19 | Bulgaria | BGR | 1960 | 62.900000 | NaN |
| 283 | Bulgaria | BGR | 1961 | 61.218000 | NaN |
| 547 | Bulgaria | BGR | 1962 | 59.506000 | NaN |
| 811 | Bulgaria | BGR | 1963 | 57.770000 | NaN |
| 1075 | Bulgaria | BGR | 1964 | 56.013000 | NaN |
| 1339 | Bulgaria | BGR | 1965 | 54.245000 | NaN |
| 1603 | Bulgaria | BGR | 1966 | 52.767000 | NaN |
| 1867 | Bulgaria | BGR | 1967 | 51.501000 | NaN |
| 2131 | Bulgaria | BGR | 1968 | 50.232000 | NaN |
| 2395 | Bulgaria | BGR | 1969 | 48.966000 | NaN |
| 2659 | Bulgaria | BGR | 1970 | 47.700000 | NaN |
| 2923 | Bulgaria | BGR | 1971 | 46.640000 | NaN |
| 3187 | Bulgaria | BGR | 1972 | 45.581000 | NaN |
| 3451 | Bulgaria | BGR | 1973 | 44.529000 | NaN |
| 3715 | Bulgaria | BGR | 1974 | 43.481000 | NaN |
| 3979 | Bulgaria | BGR | 1975 | 42.438000 | NaN |
| 4243 | Bulgaria | BGR | 1976 | 41.474000 | NaN |
| 4507 | Bulgaria | BGR | 1977 | 40.572000 | NaN |
| 4771 | Bulgaria | BGR | 1978 | 39.674000 | NaN |
| 5035 | Bulgaria | BGR | 1979 | 38.784000 | NaN |
| 5299 | Bulgaria | BGR | 1980 | 37.900000 | NaN |
| 5563 | Bulgaria | BGR | 1981 | 37.397000 | NaN |
| 5827 | Bulgaria | BGR | 1982 | 36.896000 | NaN |
| 6091 | Bulgaria | BGR | 1983 | 36.397000 | NaN |
| 6355 | Bulgaria | BGR | 1984 | 35.901000 | NaN |
| 6619 | Bulgaria | BGR | 1985 | 35.410000 | NaN |
| 6883 | Bulgaria | BGR | 1986 | 35.001000 | NaN |
| 7147 | Bulgaria | BGR | 1987 | 34.654000 | NaN |
| 7411 | Bulgaria | BGR | 1988 | 34.308000 | NaN |
| 7675 | Bulgaria | BGR | 1989 | 33.965000 | NaN |
| 7939 | Bulgaria | BGR | 1990 | 33.623000 | 100.000000 |
| 8203 | Bulgaria | BGR | 1991 | 33.283000 | 100.000000 |
| 8467 | Bulgaria | BGR | 1992 | 32.944000 | 100.000000 |
| 8731 | Bulgaria | BGR | 1993 | 32.670000 | 100.000000 |
| 8995 | Bulgaria | BGR | 1994 | 32.443000 | 100.000000 |
| 9259 | Bulgaria | BGR | 1995 | 32.218000 | 100.000000 |
| 9523 | Bulgaria | BGR | 1996 | 31.993000 | 100.000000 |
| 9787 | Bulgaria | BGR | 1997 | 31.769000 | 100.000000 |
| 10051 | Bulgaria | BGR | 1998 | 31.546000 | 100.000000 |
| 10315 | Bulgaria | BGR | 1999 | 31.323000 | 100.000000 |
| 10579 | Bulgaria | BGR | 2000 | 31.101000 | 100.000000 |
| 10843 | Bulgaria | BGR | 2001 | 30.834000 | 100.000000 |
| 11107 | Bulgaria | BGR | 2002 | 30.476000 | 100.000000 |
| 11371 | Bulgaria | BGR | 2003 | 30.121000 | 100.000000 |
| 11635 | Bulgaria | BGR | 2004 | 29.767000 | 100.000000 |
| 11899 | Bulgaria | BGR | 2005 | 29.416000 | 100.000000 |
| 12163 | Bulgaria | BGR | 2006 | 29.068000 | 100.000000 |
| 12427 | Bulgaria | BGR | 2007 | 28.722000 | 100.000000 |
| 12691 | Bulgaria | BGR | 2008 | 28.378000 | 100.000000 |
| 12955 | Bulgaria | BGR | 2009 | 28.037000 | 100.000000 |
| 13219 | Bulgaria | BGR | 2010 | 27.698000 | 100.000000 |
| 13483 | Bulgaria | BGR | 2011 | 27.362000 | 100.000000 |
| 13747 | Bulgaria | BGR | 2012 | 27.029000 | 100.000000 |
| 14011 | Bulgaria | BGR | 2013 | 26.700000 | 100.000000 |
| 14275 | Bulgaria | BGR | 2014 | 26.374000 | 100.000000 |
| 14539 | Bulgaria | BGR | 2015 | 26.052000 | 100.000000 |
| 14803 | Bulgaria | BGR | 2016 | 25.734000 | 100.000000 |
| 15067 | Bulgaria | BGR | 2017 | 25.419000 | NaN |
| 17 | Burkina Faso | BFA | 1960 | 95.300000 | NaN |
| 281 | Burkina Faso | BFA | 1961 | 95.204000 | NaN |
| 545 | Burkina Faso | BFA | 1962 | 95.107000 | NaN |
| 809 | Burkina Faso | BFA | 1963 | 95.007000 | NaN |
| 1073 | Burkina Faso | BFA | 1964 | 94.905000 | NaN |
| 1337 | Burkina Faso | BFA | 1965 | 94.802000 | NaN |
| 1601 | Burkina Faso | BFA | 1966 | 94.697000 | NaN |
| 1865 | Burkina Faso | BFA | 1967 | 94.589000 | NaN |
| 2129 | Burkina Faso | BFA | 1968 | 94.480000 | NaN |
| 2393 | Burkina Faso | BFA | 1969 | 94.368000 | NaN |
| 2657 | Burkina Faso | BFA | 1970 | 94.254000 | NaN |
| 2921 | Burkina Faso | BFA | 1971 | 94.139000 | NaN |
| 3185 | Burkina Faso | BFA | 1972 | 94.020000 | NaN |
| 3449 | Burkina Faso | BFA | 1973 | 93.900000 | NaN |
| 3713 | Burkina Faso | BFA | 1974 | 93.778000 | NaN |
| 3977 | Burkina Faso | BFA | 1975 | 93.653000 | NaN |
| 4241 | Burkina Faso | BFA | 1976 | 93.332000 | NaN |
| 4505 | Burkina Faso | BFA | 1977 | 92.849000 | NaN |
| 4769 | Burkina Faso | BFA | 1978 | 92.332000 | NaN |
| 5033 | Burkina Faso | BFA | 1979 | 91.782000 | NaN |
| 5297 | Burkina Faso | BFA | 1980 | 91.195000 | NaN |
| 5561 | Burkina Faso | BFA | 1981 | 90.572000 | NaN |
| 5825 | Burkina Faso | BFA | 1982 | 89.909000 | NaN |
| 6089 | Burkina Faso | BFA | 1983 | 89.204000 | NaN |
| 6353 | Burkina Faso | BFA | 1984 | 88.456000 | NaN |
| 6617 | Burkina Faso | BFA | 1985 | 87.666000 | NaN |
| 6881 | Burkina Faso | BFA | 1986 | 87.168000 | NaN |
| 7145 | Burkina Faso | BFA | 1987 | 86.928000 | NaN |
| 7409 | Burkina Faso | BFA | 1988 | 86.684000 | NaN |
| 7673 | Burkina Faso | BFA | 1989 | 86.437000 | NaN |
| 7937 | Burkina Faso | BFA | 1990 | 86.185000 | 2.610557 |
| 8201 | Burkina Faso | BFA | 1991 | 85.930000 | 3.308719 |
| 8465 | Burkina Faso | BFA | 1992 | 85.670000 | 4.006370 |
| 8729 | Burkina Faso | BFA | 1993 | 85.407000 | 6.100000 |
| 8993 | Burkina Faso | BFA | 1994 | 85.140000 | 5.389437 |
| 9257 | Burkina Faso | BFA | 1995 | 84.869000 | 6.068734 |
| 9521 | Burkina Faso | BFA | 1996 | 84.593000 | 6.735795 |
| 9785 | Burkina Faso | BFA | 1997 | 84.125000 | 7.387559 |
| 10049 | Burkina Faso | BFA | 1998 | 83.490000 | 8.020970 |
| 10313 | Burkina Faso | BFA | 1999 | 82.834000 | 6.900000 |
| 10577 | Burkina Faso | BFA | 2000 | 82.156000 | 9.222011 |
| 10841 | Burkina Faso | BFA | 2001 | 81.460000 | 9.792645 |
| 11105 | Burkina Faso | BFA | 2002 | 80.742000 | 10.350932 |
| 11369 | Burkina Faso | BFA | 2003 | 80.004000 | 11.400000 |
| 11633 | Burkina Faso | BFA | 2004 | 79.243000 | 11.454720 |
| 11897 | Burkina Faso | BFA | 2005 | 78.463000 | 12.012344 |
| 12161 | Burkina Faso | BFA | 2006 | 77.661000 | 12.581876 |
| 12425 | Burkina Faso | BFA | 2007 | 76.837000 | 13.169374 |
| 12689 | Burkina Faso | BFA | 2008 | 76.007000 | 13.779394 |
| 12953 | Burkina Faso | BFA | 2009 | 75.172000 | 14.410441 |
| 13217 | Burkina Faso | BFA | 2010 | 74.335000 | 13.100000 |
| 13481 | Burkina Faso | BFA | 2011 | 73.495000 | 15.723602 |
| 13745 | Burkina Faso | BFA | 2012 | 72.654000 | 16.399708 |
| 14009 | Burkina Faso | BFA | 2013 | 71.814000 | 17.084827 |
| 14273 | Burkina Faso | BFA | 2014 | 70.976000 | 19.200000 |
| 14537 | Burkina Faso | BFA | 2015 | 70.141000 | 18.470081 |
| 14801 | Burkina Faso | BFA | 2016 | 69.312000 | 19.164713 |
| 15065 | Burkina Faso | BFA | 2017 | 68.489000 | NaN |
| 14 | Burundi | BDI | 1960 | 97.923000 | NaN |
| 278 | Burundi | BDI | 1961 | 97.885000 | NaN |
| 542 | Burundi | BDI | 1962 | 97.846000 | NaN |
| 806 | Burundi | BDI | 1963 | 97.807000 | NaN |
| 1070 | Burundi | BDI | 1964 | 97.767000 | NaN |
| 1334 | Burundi | BDI | 1965 | 97.706000 | NaN |
| 1598 | Burundi | BDI | 1966 | 97.605000 | NaN |
| 1862 | Burundi | BDI | 1967 | 97.499000 | NaN |
| 2126 | Burundi | BDI | 1968 | 97.389000 | NaN |
| 2390 | Burundi | BDI | 1969 | 97.274000 | NaN |
| 2654 | Burundi | BDI | 1970 | 97.155000 | NaN |
| 2918 | Burundi | BDI | 1971 | 97.030000 | NaN |
| 3182 | Burundi | BDI | 1972 | 96.899000 | NaN |
| 3446 | Burundi | BDI | 1973 | 96.764000 | NaN |
| 3710 | Burundi | BDI | 1974 | 96.623000 | NaN |
| 3974 | Burundi | BDI | 1975 | 96.475000 | NaN |
| 4238 | Burundi | BDI | 1976 | 96.322000 | NaN |
| 4502 | Burundi | BDI | 1977 | 96.162000 | NaN |
| 4766 | Burundi | BDI | 1978 | 95.995000 | NaN |
| 5030 | Burundi | BDI | 1979 | 95.822000 | NaN |
| 5294 | Burundi | BDI | 1980 | 95.661000 | NaN |
| 5558 | Burundi | BDI | 1981 | 95.497000 | NaN |
| 5822 | Burundi | BDI | 1982 | 95.326000 | NaN |
| 6086 | Burundi | BDI | 1983 | 95.150000 | NaN |
| 6350 | Burundi | BDI | 1984 | 94.967000 | NaN |
| 6614 | Burundi | BDI | 1985 | 94.779000 | NaN |
| 6878 | Burundi | BDI | 1986 | 94.583000 | NaN |
| 7142 | Burundi | BDI | 1987 | 94.380000 | NaN |
| 7406 | Burundi | BDI | 1988 | 94.170000 | NaN |
| 7670 | Burundi | BDI | 1989 | 93.953000 | NaN |
| 7934 | Burundi | BDI | 1990 | 93.729000 | 0.348627 |
| 8198 | Burundi | BDI | 1991 | 93.545000 | 0.688546 |
| 8462 | Burundi | BDI | 1992 | 93.363000 | 1.027955 |
| 8726 | Burundi | BDI | 1993 | 93.177000 | 1.364305 |
| 8990 | Burundi | BDI | 1994 | 92.986000 | 1.694537 |
| 9254 | Burundi | BDI | 1995 | 92.789000 | 2.015591 |
| 9518 | Burundi | BDI | 1996 | 92.588000 | 2.324409 |
| 9782 | Burundi | BDI | 1997 | 92.382000 | 2.617932 |
| 10046 | Burundi | BDI | 1998 | 92.170000 | 3.900000 |
| 10310 | Burundi | BDI | 1999 | 91.964000 | 3.146854 |
| 10574 | Burundi | BDI | 2000 | 91.754000 | 3.377656 |
| 10838 | Burundi | BDI | 2001 | 91.539000 | 3.590047 |
| 11102 | Burundi | BDI | 2002 | 91.318000 | 3.790092 |
| 11366 | Burundi | BDI | 2003 | 91.092000 | 3.983854 |
| 11630 | Burundi | BDI | 2004 | 90.861000 | 4.177394 |
| 11894 | Burundi | BDI | 2005 | 90.625000 | 3.207317 |
| 12158 | Burundi | BDI | 2006 | 90.383000 | 4.588066 |
| 12422 | Burundi | BDI | 2007 | 90.136000 | 4.817322 |
| 12686 | Burundi | BDI | 2008 | 89.882000 | 4.800000 |
| 12950 | Burundi | BDI | 2009 | 89.624000 | 5.341904 |
| 13214 | Burundi | BDI | 2010 | 89.359000 | 5.300000 |
| 13478 | Burundi | BDI | 2011 | 89.088000 | 5.938580 |
| 13742 | Burundi | BDI | 2012 | 88.811000 | 6.500000 |
| 14006 | Burundi | BDI | 2013 | 88.528000 | 6.583319 |
| 14270 | Burundi | BDI | 2014 | 88.239000 | 7.000000 |
| 14534 | Burundi | BDI | 2015 | 87.943000 | 7.252090 |
| 14798 | Burundi | BDI | 2016 | 87.641000 | 7.588477 |
| 15062 | Burundi | BDI | 2017 | 87.333000 | NaN |
| 45 | Cabo Verde | CPV | 1960 | 83.321000 | NaN |
| 309 | Cabo Verde | CPV | 1961 | 83.052000 | NaN |
| 573 | Cabo Verde | CPV | 1962 | 82.776000 | NaN |
| 837 | Cabo Verde | CPV | 1963 | 82.497000 | NaN |
| 1101 | Cabo Verde | CPV | 1964 | 82.213000 | NaN |
| 1365 | Cabo Verde | CPV | 1965 | 81.927000 | NaN |
| 1629 | Cabo Verde | CPV | 1966 | 81.637000 | NaN |
| 1893 | Cabo Verde | CPV | 1967 | 81.343000 | NaN |
| 2157 | Cabo Verde | CPV | 1968 | 81.046000 | NaN |
| 2421 | Cabo Verde | CPV | 1969 | 80.745000 | NaN |
| 2685 | Cabo Verde | CPV | 1970 | 80.441000 | NaN |
| 2949 | Cabo Verde | CPV | 1971 | 80.100000 | NaN |
| 3213 | Cabo Verde | CPV | 1972 | 79.728000 | NaN |
| 3477 | Cabo Verde | CPV | 1973 | 79.351000 | NaN |
| 3741 | Cabo Verde | CPV | 1974 | 78.969000 | NaN |
| 4005 | Cabo Verde | CPV | 1975 | 78.581000 | NaN |
| 4269 | Cabo Verde | CPV | 1976 | 78.188000 | NaN |
| 4533 | Cabo Verde | CPV | 1977 | 77.791000 | NaN |
| 4797 | Cabo Verde | CPV | 1978 | 77.388000 | NaN |
| 5061 | Cabo Verde | CPV | 1979 | 76.980000 | NaN |
| 5325 | Cabo Verde | CPV | 1980 | 76.482000 | NaN |
| 5589 | Cabo Verde | CPV | 1981 | 75.005000 | NaN |
| 5853 | Cabo Verde | CPV | 1982 | 73.465000 | NaN |
| 6117 | Cabo Verde | CPV | 1983 | 71.867000 | NaN |
| 6381 | Cabo Verde | CPV | 1984 | 70.208000 | NaN |
| 6645 | Cabo Verde | CPV | 1985 | 68.500000 | NaN |
| 6909 | Cabo Verde | CPV | 1986 | 66.115000 | NaN |
| 7173 | Cabo Verde | CPV | 1987 | 63.645000 | NaN |
| 7437 | Cabo Verde | CPV | 1988 | 61.098000 | NaN |
| 7701 | Cabo Verde | CPV | 1989 | 58.496000 | NaN |
| 7965 | Cabo Verde | CPV | 1990 | 55.880000 | 32.558102 |
| 8229 | Cabo Verde | CPV | 1991 | 54.956000 | 34.929314 |
| 8493 | Cabo Verde | CPV | 1992 | 54.027000 | 37.300014 |
| 8757 | Cabo Verde | CPV | 1993 | 53.098000 | 39.667660 |
| 9021 | Cabo Verde | CPV | 1994 | 52.166000 | 42.029186 |
| 9285 | Cabo Verde | CPV | 1995 | 51.232000 | 44.381535 |
| 9549 | Cabo Verde | CPV | 1996 | 50.296000 | 46.721645 |
| 9813 | Cabo Verde | CPV | 1997 | 49.363000 | 49.046463 |
| 10077 | Cabo Verde | CPV | 1998 | 48.428000 | 51.352924 |
| 10341 | Cabo Verde | CPV | 1999 | 47.495000 | 53.637970 |
| 10605 | Cabo Verde | CPV | 2000 | 46.565000 | 55.900066 |
| 10869 | Cabo Verde | CPV | 2001 | 45.709000 | 58.143753 |
| 11133 | Cabo Verde | CPV | 2002 | 44.854000 | 58.600000 |
| 11397 | Cabo Verde | CPV | 2003 | 44.003000 | 62.600147 |
| 11661 | Cabo Verde | CPV | 2004 | 43.154000 | 64.824982 |
| 11925 | Cabo Verde | CPV | 2005 | 42.311000 | 67.000000 |
| 12189 | Cabo Verde | CPV | 2006 | 41.471000 | 69.298241 |
| 12453 | Cabo Verde | CPV | 2007 | 40.637000 | 71.558792 |
| 12717 | Cabo Verde | CPV | 2008 | 39.806000 | 73.841858 |
| 12981 | Cabo Verde | CPV | 2009 | 38.984000 | 76.145958 |
| 13245 | Cabo Verde | CPV | 2010 | 38.167000 | 81.100000 |
| 13509 | Cabo Verde | CPV | 2011 | 37.376000 | 80.805222 |
| 13773 | Cabo Verde | CPV | 2012 | 36.611000 | 83.154381 |
| 14037 | Cabo Verde | CPV | 2013 | 35.873000 | 85.512550 |
| 14301 | Cabo Verde | CPV | 2014 | 35.160000 | 87.876724 |
| 14565 | Cabo Verde | CPV | 2015 | 34.474000 | 90.243904 |
| 14829 | Cabo Verde | CPV | 2016 | 33.813000 | 92.611588 |
| 15093 | Cabo Verde | CPV | 2017 | 33.177000 | NaN |
| 121 | Cambodia | KHM | 1960 | 89.715000 | NaN |
| 385 | Cambodia | KHM | 1961 | 89.707000 | NaN |
| 649 | Cambodia | KHM | 1962 | 89.667000 | NaN |
| 913 | Cambodia | KHM | 1963 | 89.503000 | NaN |
| 1177 | Cambodia | KHM | 1964 | 89.338000 | NaN |
| 1441 | Cambodia | KHM | 1965 | 89.170000 | NaN |
| 1705 | Cambodia | KHM | 1966 | 89.000000 | NaN |
| 1969 | Cambodia | KHM | 1967 | 87.902000 | NaN |
| 2233 | Cambodia | KHM | 1968 | 86.709000 | NaN |
| 2497 | Cambodia | KHM | 1969 | 85.421000 | NaN |
| 2761 | Cambodia | KHM | 1970 | 84.030000 | NaN |
| 3025 | Cambodia | KHM | 1971 | 81.283000 | NaN |
| 3289 | Cambodia | KHM | 1972 | 78.182000 | NaN |
| 3553 | Cambodia | KHM | 1973 | 74.737000 | NaN |
| 3817 | Cambodia | KHM | 1974 | 70.945000 | NaN |
| 4081 | Cambodia | KHM | 1975 | 95.523000 | NaN |
| 4345 | Cambodia | KHM | 1976 | 95.180000 | NaN |
| 4609 | Cambodia | KHM | 1977 | 94.814000 | NaN |
| 4873 | Cambodia | KHM | 1978 | 94.422000 | NaN |
| 5137 | Cambodia | KHM | 1979 | 94.001000 | NaN |
| 5401 | Cambodia | KHM | 1980 | 90.102000 | NaN |
| 5665 | Cambodia | KHM | 1981 | 87.258000 | NaN |
| 5929 | Cambodia | KHM | 1982 | 86.969000 | NaN |
| 6193 | Cambodia | KHM | 1983 | 86.675000 | NaN |
| 6457 | Cambodia | KHM | 1984 | 86.374000 | NaN |
| 6721 | Cambodia | KHM | 1985 | 86.069000 | NaN |
| 6985 | Cambodia | KHM | 1986 | 85.758000 | NaN |
| 7249 | Cambodia | KHM | 1987 | 85.441000 | NaN |
| 7513 | Cambodia | KHM | 1988 | 85.117000 | NaN |
| 7777 | Cambodia | KHM | 1989 | 84.789000 | NaN |
| 8041 | Cambodia | KHM | 1990 | 84.454000 | 0.010000 |
| 8305 | Cambodia | KHM | 1991 | 84.113000 | 0.105639 |
| 8569 | Cambodia | KHM | 1992 | 83.766000 | 0.477306 |
| 8833 | Cambodia | KHM | 1993 | 83.413000 | 0.570303 |
| 9097 | Cambodia | KHM | 1994 | 83.054000 | 2.769064 |
| 9361 | Cambodia | KHM | 1995 | 82.689000 | 4.958649 |
| 9625 | Cambodia | KHM | 1996 | 82.317000 | 7.135996 |
| 9889 | Cambodia | KHM | 1997 | 81.940000 | 9.298048 |
| 10153 | Cambodia | KHM | 1998 | 81.645000 | 18.670000 |
| 10417 | Cambodia | KHM | 1999 | 81.530000 | 13.564030 |
| 10681 | Cambodia | KHM | 2000 | 81.414000 | 16.600000 |
| 10945 | Cambodia | KHM | 2001 | 81.297000 | 17.744282 |
| 11209 | Cambodia | KHM | 2002 | 81.180000 | 19.812857 |
| 11473 | Cambodia | KHM | 2003 | 81.063000 | 19.300000 |
| 11737 | Cambodia | KHM | 2004 | 80.945000 | 23.937218 |
| 12001 | Cambodia | KHM | 2005 | 80.826000 | 20.500000 |
| 12265 | Cambodia | KHM | 2006 | 80.707000 | 28.084948 |
| 12529 | Cambodia | KHM | 2007 | 80.587000 | 30.182734 |
| 12793 | Cambodia | KHM | 2008 | 80.467000 | 26.400000 |
| 13057 | Cambodia | KHM | 2009 | 80.334000 | 34.444374 |
| 13321 | Cambodia | KHM | 2010 | 80.190000 | 31.100000 |
| 13585 | Cambodia | KHM | 2011 | 80.033000 | 38.778111 |
| 13849 | Cambodia | KHM | 2012 | 79.863000 | 40.964504 |
| 14113 | Cambodia | KHM | 2013 | 79.681000 | 43.159908 |
| 14377 | Cambodia | KHM | 2014 | 79.486000 | 56.100000 |
| 14641 | Cambodia | KHM | 2015 | 79.277000 | 47.565739 |
| 14905 | Cambodia | KHM | 2016 | 79.055000 | 49.770657 |
| 15169 | Cambodia | KHM | 2017 | 78.820000 | NaN |
| 40 | Cameroon | CMR | 1960 | 86.063000 | NaN |
| 304 | Cameroon | CMR | 1961 | 85.512000 | NaN |
| 568 | Cameroon | CMR | 1962 | 84.942000 | NaN |
| 832 | Cameroon | CMR | 1963 | 84.353000 | NaN |
| 1096 | Cameroon | CMR | 1964 | 83.745000 | NaN |
| 1360 | Cameroon | CMR | 1965 | 83.120000 | NaN |
| 1624 | Cameroon | CMR | 1966 | 82.475000 | NaN |
| 1888 | Cameroon | CMR | 1967 | 81.810000 | NaN |
| 2152 | Cameroon | CMR | 1968 | 81.125000 | NaN |
| 2416 | Cameroon | CMR | 1969 | 80.423000 | NaN |
| 2680 | Cameroon | CMR | 1970 | 79.700000 | NaN |
| 2944 | Cameroon | CMR | 1971 | 78.416000 | NaN |
| 3208 | Cameroon | CMR | 1972 | 77.073000 | NaN |
| 3472 | Cameroon | CMR | 1973 | 75.676000 | NaN |
| 3736 | Cameroon | CMR | 1974 | 74.220000 | NaN |
| 4000 | Cameroon | CMR | 1975 | 72.708000 | NaN |
| 4264 | Cameroon | CMR | 1976 | 71.322000 | NaN |
| 4528 | Cameroon | CMR | 1977 | 70.531000 | NaN |
| 4792 | Cameroon | CMR | 1978 | 69.726000 | NaN |
| 5056 | Cameroon | CMR | 1979 | 68.909000 | NaN |
| 5320 | Cameroon | CMR | 1980 | 68.079000 | NaN |
| 5584 | Cameroon | CMR | 1981 | 67.239000 | NaN |
| 5848 | Cameroon | CMR | 1982 | 66.387000 | NaN |
| 6112 | Cameroon | CMR | 1983 | 65.524000 | NaN |
| 6376 | Cameroon | CMR | 1984 | 64.650000 | NaN |
| 6640 | Cameroon | CMR | 1985 | 63.768000 | NaN |
| 6904 | Cameroon | CMR | 1986 | 62.876000 | NaN |
| 7168 | Cameroon | CMR | 1987 | 62.059000 | NaN |
| 7432 | Cameroon | CMR | 1988 | 61.489000 | NaN |
| 7696 | Cameroon | CMR | 1989 | 60.918000 | NaN |
| 7960 | Cameroon | CMR | 1990 | 60.343000 | 30.129717 |
| 8224 | Cameroon | CMR | 1991 | 59.765000 | 29.000000 |
| 8488 | Cameroon | CMR | 1992 | 59.183000 | 32.555599 |
| 8752 | Cameroon | CMR | 1993 | 58.601000 | 33.765224 |
| 9016 | Cameroon | CMR | 1994 | 58.015000 | 34.968735 |
| 9280 | Cameroon | CMR | 1995 | 57.427000 | 36.163067 |
| 9544 | Cameroon | CMR | 1996 | 56.836000 | 37.345161 |
| 9808 | Cameroon | CMR | 1997 | 56.245000 | 38.511959 |
| 10072 | Cameroon | CMR | 1998 | 55.652000 | 40.700000 |
| 10336 | Cameroon | CMR | 1999 | 55.056000 | 40.787437 |
| 10600 | Cameroon | CMR | 2000 | 54.458000 | 41.000000 |
| 10864 | Cameroon | CMR | 2001 | 53.861000 | 46.200000 |
| 11128 | Cameroon | CMR | 2002 | 53.262000 | 44.050507 |
| 11392 | Cameroon | CMR | 2003 | 52.662000 | 45.117542 |
| 11656 | Cameroon | CMR | 2004 | 52.060000 | 47.100000 |
| 11920 | Cameroon | CMR | 2005 | 51.459000 | 47.257023 |
| 12184 | Cameroon | CMR | 2006 | 50.857000 | 49.000000 |
| 12448 | Cameroon | CMR | 2007 | 50.259000 | 48.200000 |
| 12712 | Cameroon | CMR | 2008 | 49.663000 | 50.569176 |
| 12976 | Cameroon | CMR | 2009 | 49.072000 | 51.715256 |
| 13240 | Cameroon | CMR | 2010 | 48.484000 | 52.879360 |
| 13504 | Cameroon | CMR | 2011 | 47.901000 | 53.700000 |
| 13768 | Cameroon | CMR | 2012 | 47.323000 | 55.249626 |
| 14032 | Cameroon | CMR | 2013 | 46.750000 | 56.449780 |
| 14296 | Cameroon | CMR | 2014 | 46.181000 | 56.800000 |
| 14560 | Cameroon | CMR | 2015 | 45.619000 | 58.865101 |
| 14824 | Cameroon | CMR | 2016 | 45.062000 | 60.074768 |
| 15088 | Cameroon | CMR | 2017 | 44.511000 | NaN |
| 33 | Canada | CAN | 1960 | 30.939000 | NaN |
| 297 | Canada | CAN | 1961 | 30.332000 | NaN |
| 561 | Canada | CAN | 1962 | 29.506000 | NaN |
| 825 | Canada | CAN | 1963 | 28.693000 | NaN |
| 1089 | Canada | CAN | 1964 | 27.893000 | NaN |
| 1353 | Canada | CAN | 1965 | 27.108000 | NaN |
| 1617 | Canada | CAN | 1966 | 26.358000 | NaN |
| 1881 | Canada | CAN | 1967 | 25.845000 | NaN |
| 2145 | Canada | CAN | 1968 | 25.338000 | NaN |
| 2409 | Canada | CAN | 1969 | 24.839000 | NaN |
| 2673 | Canada | CAN | 1970 | 24.346000 | NaN |
| 2937 | Canada | CAN | 1971 | 23.910000 | NaN |
| 3201 | Canada | CAN | 1972 | 24.029000 | NaN |
| 3465 | Canada | CAN | 1973 | 24.149000 | NaN |
| 3729 | Canada | CAN | 1974 | 24.269000 | NaN |
| 3993 | Canada | CAN | 1975 | 24.389000 | NaN |
| 4257 | Canada | CAN | 1976 | 24.497000 | NaN |
| 4521 | Canada | CAN | 1977 | 24.457000 | NaN |
| 4785 | Canada | CAN | 1978 | 24.417000 | NaN |
| 5049 | Canada | CAN | 1979 | 24.377000 | NaN |
| 5313 | Canada | CAN | 1980 | 24.337000 | NaN |
| 5577 | Canada | CAN | 1981 | 24.288000 | NaN |
| 5841 | Canada | CAN | 1982 | 24.126000 | NaN |
| 6105 | Canada | CAN | 1983 | 23.965000 | NaN |
| 6369 | Canada | CAN | 1984 | 23.805000 | NaN |
| 6633 | Canada | CAN | 1985 | 23.646000 | NaN |
| 6897 | Canada | CAN | 1986 | 23.498000 | NaN |
| 7161 | Canada | CAN | 1987 | 23.478000 | NaN |
| 7425 | Canada | CAN | 1988 | 23.458000 | NaN |
| 7689 | Canada | CAN | 1989 | 23.438000 | NaN |
| 7953 | Canada | CAN | 1990 | 23.418000 | 100.000000 |
| 8217 | Canada | CAN | 1991 | 23.380000 | 100.000000 |
| 8481 | Canada | CAN | 1992 | 23.113000 | 100.000000 |
| 8745 | Canada | CAN | 1993 | 22.848000 | 100.000000 |
| 9009 | Canada | CAN | 1994 | 22.586000 | 100.000000 |
| 9273 | Canada | CAN | 1995 | 22.325000 | 100.000000 |
| 9537 | Canada | CAN | 1996 | 22.049000 | 100.000000 |
| 9801 | Canada | CAN | 1997 | 21.660000 | 100.000000 |
| 10065 | Canada | CAN | 1998 | 21.276000 | 100.000000 |
| 10329 | Canada | CAN | 1999 | 20.897000 | 100.000000 |
| 10593 | Canada | CAN | 2000 | 20.522000 | 100.000000 |
| 10857 | Canada | CAN | 2001 | 20.190000 | 100.000000 |
| 11121 | Canada | CAN | 2002 | 20.112000 | 100.000000 |
| 11385 | Canada | CAN | 2003 | 20.033000 | 100.000000 |
| 11649 | Canada | CAN | 2004 | 19.955000 | 100.000000 |
| 11913 | Canada | CAN | 2005 | 19.878000 | 100.000000 |
| 12177 | Canada | CAN | 2006 | 19.787000 | 100.000000 |
| 12441 | Canada | CAN | 2007 | 19.604000 | 100.000000 |
| 12705 | Canada | CAN | 2008 | 19.422000 | 100.000000 |
| 12969 | Canada | CAN | 2009 | 19.242000 | 100.000000 |
| 13233 | Canada | CAN | 2010 | 19.063000 | 100.000000 |
| 13497 | Canada | CAN | 2011 | 18.885000 | 100.000000 |
| 13761 | Canada | CAN | 2012 | 18.707000 | 100.000000 |
| 14025 | Canada | CAN | 2013 | 18.528000 | 100.000000 |
| 14289 | Canada | CAN | 2014 | 18.350000 | 100.000000 |
| 14553 | Canada | CAN | 2015 | 18.172000 | 100.000000 |
| 14817 | Canada | CAN | 2016 | 17.994000 | 100.000000 |
| 15081 | Canada | CAN | 2017 | 17.817000 | NaN |
| 47 | Caribbean small states | CSS | 1960 | 68.406337 | NaN |
| 311 | Caribbean small states | CSS | 1961 | 68.185115 | NaN |
| 575 | Caribbean small states | CSS | 1962 | 67.946484 | NaN |
| 839 | Caribbean small states | CSS | 1963 | 67.690552 | NaN |
| 1103 | Caribbean small states | CSS | 1964 | 67.423826 | NaN |
| 1367 | Caribbean small states | CSS | 1965 | 67.159762 | NaN |
| 1631 | Caribbean small states | CSS | 1966 | 66.882711 | NaN |
| 1895 | Caribbean small states | CSS | 1967 | 66.594751 | NaN |
| 2159 | Caribbean small states | CSS | 1968 | 66.302086 | NaN |
| 2423 | Caribbean small states | CSS | 1969 | 66.015244 | NaN |
| 2687 | Caribbean small states | CSS | 1970 | 65.736640 | NaN |
| 2951 | Caribbean small states | CSS | 1971 | 65.468607 | NaN |
| 3215 | Caribbean small states | CSS | 1972 | 65.119228 | NaN |
| 3479 | Caribbean small states | CSS | 1973 | 64.689395 | NaN |
| 3743 | Caribbean small states | CSS | 1974 | 64.268665 | NaN |
| 4007 | Caribbean small states | CSS | 1975 | 63.851126 | NaN |
| 4271 | Caribbean small states | CSS | 1976 | 63.434217 | NaN |
| 4535 | Caribbean small states | CSS | 1977 | 63.021041 | NaN |
| 4799 | Caribbean small states | CSS | 1978 | 62.608103 | NaN |
| 5063 | Caribbean small states | CSS | 1979 | 62.196074 | NaN |
| 5327 | Caribbean small states | CSS | 1980 | 61.798912 | NaN |
| 5591 | Caribbean small states | CSS | 1981 | 61.621336 | NaN |
| 5855 | Caribbean small states | CSS | 1982 | 61.433732 | NaN |
| 6119 | Caribbean small states | CSS | 1983 | 61.366408 | NaN |
| 6383 | Caribbean small states | CSS | 1984 | 61.290166 | NaN |
| 6647 | Caribbean small states | CSS | 1985 | 61.205469 | NaN |
| 6911 | Caribbean small states | CSS | 1986 | 61.111901 | NaN |
| 7175 | Caribbean small states | CSS | 1987 | 61.010357 | NaN |
| 7439 | Caribbean small states | CSS | 1988 | 60.902353 | NaN |
| 7703 | Caribbean small states | CSS | 1989 | 60.790236 | NaN |
| 7967 | Caribbean small states | CSS | 1990 | 60.658545 | 76.934516 |
| 8231 | Caribbean small states | CSS | 1991 | 60.439763 | 79.975178 |
| 8495 | Caribbean small states | CSS | 1992 | 60.232500 | 80.794292 |
| 8759 | Caribbean small states | CSS | 1993 | 60.022839 | 81.862847 |
| 9023 | Caribbean small states | CSS | 1994 | 59.809826 | 82.378741 |
| 9287 | Caribbean small states | CSS | 1995 | 59.590836 | 83.154282 |
| 9551 | Caribbean small states | CSS | 1996 | 59.366133 | 85.824877 |
| 9815 | Caribbean small states | CSS | 1997 | 59.136912 | 84.634006 |
| 10079 | Caribbean small states | CSS | 1998 | 58.904952 | 85.293066 |
| 10343 | Caribbean small states | CSS | 1999 | 58.674118 | 86.453379 |
| 10607 | Caribbean small states | CSS | 2000 | 58.461271 | 87.150048 |
| 10871 | Caribbean small states | CSS | 2001 | 58.356297 | 88.759585 |
| 11135 | Caribbean small states | CSS | 2002 | 58.297774 | 88.621128 |
| 11399 | Caribbean small states | CSS | 2003 | 58.246030 | 88.937608 |
| 11663 | Caribbean small states | CSS | 2004 | 58.192530 | 89.508233 |
| 11927 | Caribbean small states | CSS | 2005 | 58.147154 | 90.106569 |
| 12191 | Caribbean small states | CSS | 2006 | 58.100419 | 90.039144 |
| 12455 | Caribbean small states | CSS | 2007 | 58.052738 | 91.265510 |
| 12719 | Caribbean small states | CSS | 2008 | 58.005668 | 92.314755 |
| 12983 | Caribbean small states | CSS | 2009 | 57.960807 | 92.368681 |
| 13247 | Caribbean small states | CSS | 2010 | 57.916865 | 93.114511 |
| 13511 | Caribbean small states | CSS | 2011 | 57.856494 | 92.677095 |
| 13775 | Caribbean small states | CSS | 2012 | 57.791346 | 93.625323 |
| 14039 | Caribbean small states | CSS | 2013 | 57.718439 | 94.672223 |
| 14303 | Caribbean small states | CSS | 2014 | 57.634909 | 95.557923 |
| 14567 | Caribbean small states | CSS | 2015 | 57.538533 | 95.568684 |
| 14831 | Caribbean small states | CSS | 2016 | 57.429503 | 96.016309 |
| 15095 | Caribbean small states | CSS | 2017 | 57.307847 | NaN |
| 50 | Cayman Islands | CYM | 1960 | 0.000000 | NaN |
| 314 | Cayman Islands | CYM | 1961 | 0.000000 | NaN |
| 578 | Cayman Islands | CYM | 1962 | 0.000000 | NaN |
| 842 | Cayman Islands | CYM | 1963 | 0.000000 | NaN |
| 1106 | Cayman Islands | CYM | 1964 | 0.000000 | NaN |
| 1370 | Cayman Islands | CYM | 1965 | 0.000000 | NaN |
| 1634 | Cayman Islands | CYM | 1966 | 0.000000 | NaN |
| 1898 | Cayman Islands | CYM | 1967 | 0.000000 | NaN |
| 2162 | Cayman Islands | CYM | 1968 | 0.000000 | NaN |
| 2426 | Cayman Islands | CYM | 1969 | 0.000000 | NaN |
| 2690 | Cayman Islands | CYM | 1970 | 0.000000 | NaN |
| 2954 | Cayman Islands | CYM | 1971 | 0.000000 | NaN |
| 3218 | Cayman Islands | CYM | 1972 | 0.000000 | NaN |
| 3482 | Cayman Islands | CYM | 1973 | 0.000000 | NaN |
| 3746 | Cayman Islands | CYM | 1974 | 0.000000 | NaN |
| 4010 | Cayman Islands | CYM | 1975 | 0.000000 | NaN |
| 4274 | Cayman Islands | CYM | 1976 | 0.000000 | NaN |
| 4538 | Cayman Islands | CYM | 1977 | 0.000000 | NaN |
| 4802 | Cayman Islands | CYM | 1978 | 0.000000 | NaN |
| 5066 | Cayman Islands | CYM | 1979 | 0.000000 | NaN |
| 5330 | Cayman Islands | CYM | 1980 | 0.000000 | NaN |
| 5594 | Cayman Islands | CYM | 1981 | 0.000000 | NaN |
| 5858 | Cayman Islands | CYM | 1982 | 0.000000 | NaN |
| 6122 | Cayman Islands | CYM | 1983 | 0.000000 | NaN |
| 6386 | Cayman Islands | CYM | 1984 | 0.000000 | NaN |
| 6650 | Cayman Islands | CYM | 1985 | 0.000000 | NaN |
| 6914 | Cayman Islands | CYM | 1986 | 0.000000 | NaN |
| 7178 | Cayman Islands | CYM | 1987 | 0.000000 | NaN |
| 7442 | Cayman Islands | CYM | 1988 | 0.000000 | NaN |
| 7706 | Cayman Islands | CYM | 1989 | 0.000000 | NaN |
| 7970 | Cayman Islands | CYM | 1990 | 0.000000 | 100.000000 |
| 8234 | Cayman Islands | CYM | 1991 | 0.000000 | 100.000000 |
| 8498 | Cayman Islands | CYM | 1992 | 0.000000 | 100.000000 |
| 8762 | Cayman Islands | CYM | 1993 | 0.000000 | 100.000000 |
| 9026 | Cayman Islands | CYM | 1994 | 0.000000 | 100.000000 |
| 9290 | Cayman Islands | CYM | 1995 | 0.000000 | 100.000000 |
| 9554 | Cayman Islands | CYM | 1996 | 0.000000 | 100.000000 |
| 9818 | Cayman Islands | CYM | 1997 | 0.000000 | 100.000000 |
| 10082 | Cayman Islands | CYM | 1998 | 0.000000 | 100.000000 |
| 10346 | Cayman Islands | CYM | 1999 | 0.000000 | 100.000000 |
| 10610 | Cayman Islands | CYM | 2000 | 0.000000 | 100.000000 |
| 10874 | Cayman Islands | CYM | 2001 | 0.000000 | 100.000000 |
| 11138 | Cayman Islands | CYM | 2002 | 0.000000 | 100.000000 |
| 11402 | Cayman Islands | CYM | 2003 | 0.000000 | 100.000000 |
| 11666 | Cayman Islands | CYM | 2004 | 0.000000 | 100.000000 |
| 11930 | Cayman Islands | CYM | 2005 | 0.000000 | 100.000000 |
| 12194 | Cayman Islands | CYM | 2006 | 0.000000 | 100.000000 |
| 12458 | Cayman Islands | CYM | 2007 | 0.000000 | 100.000000 |
| 12722 | Cayman Islands | CYM | 2008 | 0.000000 | 100.000000 |
| 12986 | Cayman Islands | CYM | 2009 | 0.000000 | 100.000000 |
| 13250 | Cayman Islands | CYM | 2010 | 0.000000 | 100.000000 |
| 13514 | Cayman Islands | CYM | 2011 | 0.000000 | 100.000000 |
| 13778 | Cayman Islands | CYM | 2012 | 0.000000 | 100.000000 |
| 14042 | Cayman Islands | CYM | 2013 | 0.000000 | 100.000000 |
| 14306 | Cayman Islands | CYM | 2014 | 0.000000 | 100.000000 |
| 14570 | Cayman Islands | CYM | 2015 | 0.000000 | 100.000000 |
| 14834 | Cayman Islands | CYM | 2016 | 0.000000 | 100.000000 |
| 15098 | Cayman Islands | CYM | 2017 | 0.000000 | NaN |
| 32 | Central African Republic | CAF | 1960 | 79.900000 | NaN |
| 296 | Central African Republic | CAF | 1961 | 79.249000 | NaN |
| 560 | Central African Republic | CAF | 1962 | 78.582000 | NaN |
| 824 | Central African Republic | CAF | 1963 | 77.900000 | NaN |
| 1088 | Central African Republic | CAF | 1964 | 77.197000 | NaN |
| 1352 | Central African Republic | CAF | 1965 | 76.481000 | NaN |
| 1616 | Central African Republic | CAF | 1966 | 75.748000 | NaN |
| 1880 | Central African Republic | CAF | 1967 | 75.000000 | NaN |
| 2144 | Central African Republic | CAF | 1968 | 74.185000 | NaN |
| 2408 | Central African Republic | CAF | 1969 | 73.355000 | NaN |
| 2672 | Central African Republic | CAF | 1970 | 72.508000 | NaN |
| 2936 | Central African Republic | CAF | 1971 | 71.644000 | NaN |
| 3200 | Central African Republic | CAF | 1972 | 70.762000 | NaN |
| 3464 | Central African Republic | CAF | 1973 | 69.867000 | NaN |
| 3728 | Central African Republic | CAF | 1974 | 68.955000 | NaN |
| 3992 | Central African Republic | CAF | 1975 | 68.029000 | NaN |
| 4256 | Central African Republic | CAF | 1976 | 67.425000 | NaN |
| 4520 | Central African Republic | CAF | 1977 | 67.103000 | NaN |
| 4784 | Central African Republic | CAF | 1978 | 66.779000 | NaN |
| 5048 | Central African Republic | CAF | 1979 | 66.454000 | NaN |
| 5312 | Central African Republic | CAF | 1980 | 66.126000 | NaN |
| 5576 | Central African Republic | CAF | 1981 | 65.798000 | NaN |
| 5840 | Central African Republic | CAF | 1982 | 65.468000 | NaN |
| 6104 | Central African Republic | CAF | 1983 | 65.136000 | NaN |
| 6368 | Central African Republic | CAF | 1984 | 64.802000 | NaN |
| 6632 | Central African Republic | CAF | 1985 | 64.468000 | NaN |
| 6896 | Central African Republic | CAF | 1986 | 64.132000 | NaN |
| 7160 | Central African Republic | CAF | 1987 | 63.794000 | NaN |
| 7424 | Central African Republic | CAF | 1988 | 63.455000 | NaN |
| 7688 | Central African Republic | CAF | 1989 | 63.256000 | NaN |
| 7952 | Central African Republic | CAF | 1990 | 63.175000 | 0.010000 |
| 8216 | Central African Republic | CAF | 1991 | 63.094000 | 0.538830 |
| 8480 | Central African Republic | CAF | 1992 | 63.013000 | 1.081371 |
| 8744 | Central African Republic | CAF | 1993 | 62.932000 | 1.682022 |
| 9008 | Central African Republic | CAF | 1994 | 62.851000 | 2.276555 |
| 9272 | Central African Republic | CAF | 1995 | 62.769000 | 3.000000 |
| 9536 | Central African Republic | CAF | 1996 | 62.688000 | 3.435029 |
| 9800 | Central African Republic | CAF | 1997 | 62.606000 | 3.992852 |
| 10064 | Central African Republic | CAF | 1998 | 62.525000 | 4.532320 |
| 10328 | Central African Republic | CAF | 1999 | 62.443000 | 5.050375 |
| 10592 | Central African Republic | CAF | 2000 | 62.361000 | 6.000000 |
| 10856 | Central African Republic | CAF | 2001 | 62.280000 | 6.022171 |
| 11120 | Central African Republic | CAF | 2002 | 62.198000 | 6.486516 |
| 11384 | Central African Republic | CAF | 2003 | 62.116000 | 6.944578 |
| 11648 | Central African Republic | CAF | 2004 | 62.034000 | 7.402420 |
| 11912 | Central African Republic | CAF | 2005 | 61.934000 | 7.866104 |
| 12176 | Central African Republic | CAF | 2006 | 61.817000 | 7.805169 |
| 12440 | Central African Republic | CAF | 2007 | 61.682000 | 8.835250 |
| 12704 | Central African Republic | CAF | 2008 | 61.530000 | 9.351328 |
| 12968 | Central African Republic | CAF | 2009 | 61.360000 | 9.888433 |
| 13232 | Central African Republic | CAF | 2010 | 61.172000 | 9.800000 |
| 13496 | Central African Republic | CAF | 2011 | 60.966000 | 11.013711 |
| 13760 | Central African Republic | CAF | 2012 | 60.742000 | 11.595876 |
| 14024 | Central African Republic | CAF | 2013 | 60.500000 | 12.187052 |
| 14288 | Central African Republic | CAF | 2014 | 60.241000 | 12.784236 |
| 14552 | Central African Republic | CAF | 2015 | 59.963000 | 13.384423 |
| 14816 | Central African Republic | CAF | 2016 | 59.668000 | 13.985112 |
| 15080 | Central African Republic | CAF | 2017 | 59.354000 | NaN |
| 34 | Central Europe and the Baltics | CEB | 1960 | 55.492079 | NaN |
| 298 | Central Europe and the Baltics | CEB | 1961 | 54.793335 | NaN |
| 562 | Central Europe and the Baltics | CEB | 1962 | 54.133435 | NaN |
| 826 | Central Europe and the Baltics | CEB | 1963 | 53.465907 | NaN |
| 1090 | Central Europe and the Baltics | CEB | 1964 | 52.791257 | NaN |
| 1354 | Central Europe and the Baltics | CEB | 1965 | 52.119692 | NaN |
| 1618 | Central Europe and the Baltics | CEB | 1966 | 51.494903 | NaN |
| 1882 | Central Europe and the Baltics | CEB | 1967 | 50.932233 | NaN |
| 2146 | Central Europe and the Baltics | CEB | 1968 | 50.361304 | NaN |
| 2410 | Central Europe and the Baltics | CEB | 1969 | 49.784342 | NaN |
| 2674 | Central Europe and the Baltics | CEB | 1970 | 49.219590 | NaN |
| 2938 | Central Europe and the Baltics | CEB | 1971 | 48.570434 | NaN |
| 3202 | Central Europe and the Baltics | CEB | 1972 | 47.837894 | NaN |
| 3466 | Central Europe and the Baltics | CEB | 1973 | 47.105529 | NaN |
| 3730 | Central Europe and the Baltics | CEB | 1974 | 46.372826 | NaN |
| 3994 | Central Europe and the Baltics | CEB | 1975 | 45.650347 | NaN |
| 4258 | Central Europe and the Baltics | CEB | 1976 | 44.938873 | NaN |
| 4522 | Central Europe and the Baltics | CEB | 1977 | 44.211314 | NaN |
| 4786 | Central Europe and the Baltics | CEB | 1978 | 43.469332 | NaN |
| 5050 | Central Europe and the Baltics | CEB | 1979 | 42.786865 | NaN |
| 5314 | Central Europe and the Baltics | CEB | 1980 | 42.177069 | NaN |
| 5578 | Central Europe and the Baltics | CEB | 1981 | 41.713309 | NaN |
| 5842 | Central Europe and the Baltics | CEB | 1982 | 41.316437 | NaN |
| 6106 | Central Europe and the Baltics | CEB | 1983 | 40.918433 | NaN |
| 6370 | Central Europe and the Baltics | CEB | 1984 | 40.519787 | NaN |
| 6634 | Central Europe and the Baltics | CEB | 1985 | 40.126265 | NaN |
| 6898 | Central Europe and the Baltics | CEB | 1986 | 39.741913 | NaN |
| 7162 | Central Europe and the Baltics | CEB | 1987 | 39.361386 | NaN |
| 7426 | Central Europe and the Baltics | CEB | 1988 | 38.979511 | NaN |
| 7690 | Central Europe and the Baltics | CEB | 1989 | 38.687800 | NaN |
| 7954 | Central Europe and the Baltics | CEB | 1990 | 38.479006 | 100.000000 |
| 8218 | Central Europe and the Baltics | CEB | 1991 | 38.258461 | 100.000000 |
| 8482 | Central Europe and the Baltics | CEB | 1992 | 38.179712 | 100.000000 |
| 8746 | Central Europe and the Baltics | CEB | 1993 | 38.220590 | 100.000000 |
| 9010 | Central Europe and the Baltics | CEB | 1994 | 38.248869 | 100.000000 |
| 9274 | Central Europe and the Baltics | CEB | 1995 | 38.284037 | 100.000000 |
| 9538 | Central Europe and the Baltics | CEB | 1996 | 38.304187 | 100.000000 |
| 9802 | Central Europe and the Baltics | CEB | 1997 | 38.338343 | 100.000000 |
| 10066 | Central Europe and the Baltics | CEB | 1998 | 38.367109 | 100.000000 |
| 10330 | Central Europe and the Baltics | CEB | 1999 | 38.404221 | 100.000000 |
| 10594 | Central Europe and the Baltics | CEB | 2000 | 38.432561 | 100.000000 |
| 10858 | Central Europe and the Baltics | CEB | 2001 | 38.428979 | 100.000000 |
| 11122 | Central Europe and the Baltics | CEB | 2002 | 38.370046 | 100.000000 |
| 11386 | Central Europe and the Baltics | CEB | 2003 | 38.329306 | 100.000000 |
| 11650 | Central Europe and the Baltics | CEB | 2004 | 38.288393 | 100.000000 |
| 11914 | Central Europe and the Baltics | CEB | 2005 | 38.239491 | 100.000000 |
| 12178 | Central Europe and the Baltics | CEB | 2006 | 38.184477 | 100.000000 |
| 12442 | Central Europe and the Baltics | CEB | 2007 | 38.112366 | 100.000000 |
| 12706 | Central Europe and the Baltics | CEB | 2008 | 38.035007 | 100.000000 |
| 12970 | Central Europe and the Baltics | CEB | 2009 | 37.979840 | 100.000000 |
| 13234 | Central Europe and the Baltics | CEB | 2010 | 37.940583 | 100.000000 |
| 13498 | Central Europe and the Baltics | CEB | 2011 | 37.900483 | 100.000000 |
| 13762 | Central Europe and the Baltics | CEB | 2012 | 37.858153 | 100.000000 |
| 14026 | Central Europe and the Baltics | CEB | 2013 | 37.802360 | 100.000000 |
| 14290 | Central Europe and the Baltics | CEB | 2014 | 37.730717 | 100.000000 |
| 14554 | Central Europe and the Baltics | CEB | 2015 | 37.642971 | 100.000000 |
| 14818 | Central Europe and the Baltics | CEB | 2016 | 37.542235 | 100.000000 |
| 15082 | Central Europe and the Baltics | CEB | 2017 | 37.427810 | NaN |
| 227 | Chad | TCD | 1960 | 93.305000 | NaN |
| 491 | Chad | TCD | 1961 | 93.038000 | NaN |
| 755 | Chad | TCD | 1962 | 92.761000 | NaN |
| 1019 | Chad | TCD | 1963 | 92.473000 | NaN |
| 1283 | Chad | TCD | 1964 | 92.123000 | NaN |
| 1547 | Chad | TCD | 1965 | 91.594000 | NaN |
| 1811 | Chad | TCD | 1966 | 91.032000 | NaN |
| 2075 | Chad | TCD | 1967 | 90.436000 | NaN |
| 2339 | Chad | TCD | 1968 | 89.804000 | NaN |
| 2603 | Chad | TCD | 1969 | 89.138000 | NaN |
| 2867 | Chad | TCD | 1970 | 88.432000 | NaN |
| 3131 | Chad | TCD | 1971 | 87.687000 | NaN |
| 3395 | Chad | TCD | 1972 | 86.900000 | NaN |
| 3659 | Chad | TCD | 1973 | 86.118000 | NaN |
| 3923 | Chad | TCD | 1974 | 85.296000 | NaN |
| 4187 | Chad | TCD | 1975 | 84.434000 | NaN |
| 4451 | Chad | TCD | 1976 | 83.530000 | NaN |
| 4715 | Chad | TCD | 1977 | 82.587000 | NaN |
| 4979 | Chad | TCD | 1978 | 81.600000 | NaN |
| 5243 | Chad | TCD | 1979 | 81.408000 | NaN |
| 5507 | Chad | TCD | 1980 | 81.213000 | NaN |
| 5771 | Chad | TCD | 1981 | 81.018000 | NaN |
| 6035 | Chad | TCD | 1982 | 80.821000 | NaN |
| 6299 | Chad | TCD | 1983 | 80.623000 | NaN |
| 6563 | Chad | TCD | 1984 | 80.422000 | NaN |
| 6827 | Chad | TCD | 1985 | 80.221000 | NaN |
| 7091 | Chad | TCD | 1986 | 80.017000 | NaN |
| 7355 | Chad | TCD | 1987 | 79.813000 | NaN |
| 7619 | Chad | TCD | 1988 | 79.606000 | NaN |
| 7883 | Chad | TCD | 1989 | 79.398000 | NaN |
| 8147 | Chad | TCD | 1990 | 79.189000 | 0.010000 |
| 8411 | Chad | TCD | 1991 | 78.977000 | 0.030787 |
| 8675 | Chad | TCD | 1992 | 78.765000 | 0.108398 |
| 8939 | Chad | TCD | 1993 | 78.592000 | 0.297481 |
| 9203 | Chad | TCD | 1994 | 78.560000 | 0.575130 |
| 9467 | Chad | TCD | 1995 | 78.527000 | 1.003540 |
| 9731 | Chad | TCD | 1996 | 78.494000 | 1.419714 |
| 9995 | Chad | TCD | 1997 | 78.462000 | 2.300000 |
| 10259 | Chad | TCD | 1998 | 78.429000 | 2.203116 |
| 10523 | Chad | TCD | 1999 | 78.396000 | 2.564226 |
| 10787 | Chad | TCD | 2000 | 78.363000 | 2.902384 |
| 11051 | Chad | TCD | 2001 | 78.330000 | 3.222131 |
| 11315 | Chad | TCD | 2002 | 78.298000 | 3.529532 |
| 11579 | Chad | TCD | 2003 | 78.265000 | 3.830649 |
| 11843 | Chad | TCD | 2004 | 78.232000 | 3.500000 |
| 12107 | Chad | TCD | 2005 | 78.199000 | 4.438284 |
| 12371 | Chad | TCD | 2006 | 78.166000 | 4.756928 |
| 12635 | Chad | TCD | 2007 | 78.132000 | 5.093541 |
| 12899 | Chad | TCD | 2008 | 78.099000 | 5.452674 |
| 13163 | Chad | TCD | 2009 | 78.066000 | 5.832835 |
| 13427 | Chad | TCD | 2010 | 78.017000 | 6.400000 |
| 13691 | Chad | TCD | 2011 | 77.952000 | 6.644222 |
| 13955 | Chad | TCD | 2012 | 77.871000 | 7.069442 |
| 14219 | Chad | TCD | 2013 | 77.773000 | 7.503673 |
| 14483 | Chad | TCD | 2014 | 77.659000 | 7.943912 |
| 14747 | Chad | TCD | 2015 | 77.529000 | 7.700000 |
| 15011 | Chad | TCD | 2016 | 77.382000 | 8.830898 |
| 15275 | Chad | TCD | 2017 | 77.218000 | NaN |
| 36 | Channel Islands | CHI | 1960 | 61.300000 | NaN |
| 300 | Channel Islands | CHI | 1961 | 61.564000 | NaN |
| 564 | Channel Islands | CHI | 1962 | 61.828000 | NaN |
| 828 | Channel Islands | CHI | 1963 | 62.091000 | NaN |
| 1092 | Channel Islands | CHI | 1964 | 62.354000 | NaN |
| 1356 | Channel Islands | CHI | 1965 | 62.615000 | NaN |
| 1620 | Channel Islands | CHI | 1966 | 62.876000 | NaN |
| 1884 | Channel Islands | CHI | 1967 | 63.136000 | NaN |
| 2148 | Channel Islands | CHI | 1968 | 63.396000 | NaN |
| 2412 | Channel Islands | CHI | 1969 | 63.654000 | NaN |
| 2676 | Channel Islands | CHI | 1970 | 63.912000 | NaN |
| 2940 | Channel Islands | CHI | 1971 | 64.197000 | NaN |
| 3204 | Channel Islands | CHI | 1972 | 64.606000 | NaN |
| 3468 | Channel Islands | CHI | 1973 | 65.011000 | NaN |
| 3732 | Channel Islands | CHI | 1974 | 65.415000 | NaN |
| 3996 | Channel Islands | CHI | 1975 | 65.817000 | NaN |
| 4260 | Channel Islands | CHI | 1976 | 66.217000 | NaN |
| 4524 | Channel Islands | CHI | 1977 | 66.613000 | NaN |
| 4788 | Channel Islands | CHI | 1978 | 67.008000 | NaN |
| 5052 | Channel Islands | CHI | 1979 | 67.401000 | NaN |
| 5316 | Channel Islands | CHI | 1980 | 67.791000 | NaN |
| 5580 | Channel Islands | CHI | 1981 | 68.091000 | NaN |
| 5844 | Channel Islands | CHI | 1982 | 68.110000 | NaN |
| 6108 | Channel Islands | CHI | 1983 | 68.129000 | NaN |
| 6372 | Channel Islands | CHI | 1984 | 68.149000 | NaN |
| 6636 | Channel Islands | CHI | 1985 | 68.168000 | NaN |
| 6900 | Channel Islands | CHI | 1986 | 68.187000 | NaN |
| 7164 | Channel Islands | CHI | 1987 | 68.293000 | NaN |
| 7428 | Channel Islands | CHI | 1988 | 68.398000 | NaN |
| 7692 | Channel Islands | CHI | 1989 | 68.503000 | NaN |
| 7956 | Channel Islands | CHI | 1990 | 68.608000 | 100.000000 |
| 8220 | Channel Islands | CHI | 1991 | 68.738000 | 100.000000 |
| 8484 | Channel Islands | CHI | 1992 | 68.924000 | 100.000000 |
| 8748 | Channel Islands | CHI | 1993 | 69.109000 | 100.000000 |
| 9012 | Channel Islands | CHI | 1994 | 69.294000 | 100.000000 |
| 9276 | Channel Islands | CHI | 1995 | 69.478000 | 100.000000 |
| 9540 | Channel Islands | CHI | 1996 | 69.600000 | 100.000000 |
| 9804 | Channel Islands | CHI | 1997 | 69.584000 | 100.000000 |
| 10068 | Channel Islands | CHI | 1998 | 69.568000 | 100.000000 |
| 10332 | Channel Islands | CHI | 1999 | 69.551000 | 100.000000 |
| 10596 | Channel Islands | CHI | 2000 | 69.535000 | 100.000000 |
| 10860 | Channel Islands | CHI | 2001 | 69.505000 | 100.000000 |
| 11124 | Channel Islands | CHI | 2002 | 69.443000 | 100.000000 |
| 11388 | Channel Islands | CHI | 2003 | 69.381000 | 100.000000 |
| 11652 | Channel Islands | CHI | 2004 | 69.319000 | 100.000000 |
| 11916 | Channel Islands | CHI | 2005 | 69.257000 | 100.000000 |
| 12180 | Channel Islands | CHI | 2006 | 69.195000 | 100.000000 |
| 12444 | Channel Islands | CHI | 2007 | 69.133000 | 100.000000 |
| 12708 | Channel Islands | CHI | 2008 | 69.071000 | 100.000000 |
| 12972 | Channel Islands | CHI | 2009 | 69.008000 | 100.000000 |
| 13236 | Channel Islands | CHI | 2010 | 68.946000 | 100.000000 |
| 13500 | Channel Islands | CHI | 2011 | 68.884000 | 100.000000 |
| 13764 | Channel Islands | CHI | 2012 | 68.811000 | 100.000000 |
| 14028 | Channel Islands | CHI | 2013 | 68.729000 | 100.000000 |
| 14292 | Channel Islands | CHI | 2014 | 68.637000 | 100.000000 |
| 14556 | Channel Islands | CHI | 2015 | 68.535000 | 100.000000 |
| 14820 | Channel Islands | CHI | 2016 | 68.423000 | 100.000000 |
| 15084 | Channel Islands | CHI | 2017 | 68.302000 | NaN |
| 37 | Chile | CHL | 1960 | 32.164000 | NaN |
| 301 | Chile | CHL | 1961 | 31.340000 | NaN |
| 565 | Chile | CHL | 1962 | 30.565000 | NaN |
| 829 | Chile | CHL | 1963 | 29.800000 | NaN |
| 1093 | Chile | CHL | 1964 | 29.045000 | NaN |
| 1357 | Chile | CHL | 1965 | 28.304000 | NaN |
| 1621 | Chile | CHL | 1966 | 27.573000 | NaN |
| 1885 | Chile | CHL | 1967 | 26.854000 | NaN |
| 2149 | Chile | CHL | 1968 | 26.146000 | NaN |
| 2413 | Chile | CHL | 1969 | 25.453000 | NaN |
| 2677 | Chile | CHL | 1970 | 24.773000 | NaN |
| 2941 | Chile | CHL | 1971 | 24.117000 | NaN |
| 3205 | Chile | CHL | 1972 | 23.472000 | NaN |
| 3469 | Chile | CHL | 1973 | 22.841000 | NaN |
| 3733 | Chile | CHL | 1974 | 22.222000 | NaN |
| 3997 | Chile | CHL | 1975 | 21.614000 | NaN |
| 4261 | Chile | CHL | 1976 | 21.018000 | NaN |
| 4525 | Chile | CHL | 1977 | 20.435000 | NaN |
| 4789 | Chile | CHL | 1978 | 19.864000 | NaN |
| 5053 | Chile | CHL | 1979 | 19.305000 | NaN |
| 5317 | Chile | CHL | 1980 | 18.757000 | NaN |
| 5581 | Chile | CHL | 1981 | 18.222000 | NaN |
| 5845 | Chile | CHL | 1982 | 17.774000 | NaN |
| 6109 | Chile | CHL | 1983 | 17.641000 | NaN |
| 6373 | Chile | CHL | 1984 | 17.508000 | NaN |
| 6637 | Chile | CHL | 1985 | 17.376000 | NaN |
| 6901 | Chile | CHL | 1986 | 17.245000 | NaN |
| 7165 | Chile | CHL | 1987 | 17.115000 | NaN |
| 7429 | Chile | CHL | 1988 | 16.986000 | NaN |
| 7693 | Chile | CHL | 1989 | 16.857000 | NaN |
| 7957 | Chile | CHL | 1990 | 16.729000 | 92.257427 |
| 8221 | Chile | CHL | 1991 | 16.602000 | 94.251534 |
| 8485 | Chile | CHL | 1992 | 16.436000 | 94.560057 |
| 8749 | Chile | CHL | 1993 | 16.104000 | 94.947304 |
| 9013 | Chile | CHL | 1994 | 15.777000 | 95.287544 |
| 9277 | Chile | CHL | 1995 | 15.455000 | 95.618614 |
| 9541 | Chile | CHL | 1996 | 15.139000 | 95.617315 |
| 9805 | Chile | CHL | 1997 | 14.828000 | 96.240967 |
| 10069 | Chile | CHL | 1998 | 14.523000 | 97.241124 |
| 10333 | Chile | CHL | 1999 | 14.222000 | 96.789909 |
| 10597 | Chile | CHL | 2000 | 13.927000 | 97.938687 |
| 10861 | Chile | CHL | 2001 | 13.637000 | 97.253120 |
| 11125 | Chile | CHL | 2002 | 13.352000 | 97.463173 |
| 11389 | Chile | CHL | 2003 | 13.078000 | 98.782325 |
| 11653 | Chile | CHL | 2004 | 12.813000 | 97.870491 |
| 11917 | Chile | CHL | 2005 | 12.557000 | 98.088791 |
| 12181 | Chile | CHL | 2006 | 12.311000 | 99.368108 |
| 12445 | Chile | CHL | 2007 | 12.074000 | 98.556351 |
| 12709 | Chile | CHL | 2008 | 11.845000 | 98.817673 |
| 12973 | Chile | CHL | 2009 | 11.625000 | 99.593662 |
| 13237 | Chile | CHL | 2010 | 11.414000 | 99.388641 |
| 13501 | Chile | CHL | 2011 | 11.210000 | 99.588193 |
| 13765 | Chile | CHL | 2012 | 11.014000 | 99.858223 |
| 14029 | Chile | CHL | 2013 | 10.825000 | 99.600000 |
| 14293 | Chile | CHL | 2014 | 10.644000 | 99.995338 |
| 14557 | Chile | CHL | 2015 | 10.470000 | 99.714844 |
| 14821 | Chile | CHL | 2016 | 10.303000 | 100.000000 |
| 15085 | Chile | CHL | 2017 | 10.143000 | NaN |
| 38 | China | CHN | 1960 | 83.797000 | NaN |
| 302 | China | CHN | 1961 | 83.292000 | NaN |
| 566 | China | CHN | 1962 | 82.774000 | NaN |
| 830 | China | CHN | 1963 | 82.243000 | NaN |
| 1094 | China | CHN | 1964 | 81.701000 | NaN |
| 1358 | China | CHN | 1965 | 81.914000 | NaN |
| 1622 | China | CHN | 1966 | 82.085000 | NaN |
| 1886 | China | CHN | 1967 | 82.215000 | NaN |
| 2150 | China | CHN | 1968 | 82.344000 | NaN |
| 2414 | China | CHN | 1969 | 82.472000 | NaN |
| 2678 | China | CHN | 1970 | 82.600000 | NaN |
| 2942 | China | CHN | 1971 | 82.708000 | NaN |
| 3206 | China | CHN | 1972 | 82.816000 | NaN |
| 3470 | China | CHN | 1973 | 82.816000 | NaN |
| 3734 | China | CHN | 1974 | 82.708000 | NaN |
| 3998 | China | CHN | 1975 | 82.600000 | NaN |
| 4262 | China | CHN | 1976 | 82.540000 | NaN |
| 4526 | China | CHN | 1977 | 82.480000 | NaN |
| 4790 | China | CHN | 1978 | 82.100000 | NaN |
| 5054 | China | CHN | 1979 | 81.383000 | NaN |
| 5318 | China | CHN | 1980 | 80.642000 | NaN |
| 5582 | China | CHN | 1981 | 79.882000 | NaN |
| 5846 | China | CHN | 1982 | 79.098000 | NaN |
| 6110 | China | CHN | 1983 | 78.455000 | NaN |
| 6374 | China | CHN | 1984 | 77.797000 | NaN |
| 6638 | China | CHN | 1985 | 77.126000 | NaN |
| 6902 | China | CHN | 1986 | 76.441000 | NaN |
| 7166 | China | CHN | 1987 | 75.741000 | NaN |
| 7430 | China | CHN | 1988 | 75.026000 | NaN |
| 7694 | China | CHN | 1989 | 74.299000 | NaN |
| 7958 | China | CHN | 1990 | 73.558000 | 92.216011 |
| 8222 | China | CHN | 1991 | 72.688000 | 92.655815 |
| 8486 | China | CHN | 1992 | 71.800000 | 93.095116 |
| 8750 | China | CHN | 1993 | 70.897000 | 93.531357 |
| 9014 | China | CHN | 1994 | 69.976000 | 93.961472 |
| 9278 | China | CHN | 1995 | 69.039000 | 94.382416 |
| 9542 | China | CHN | 1996 | 68.084000 | 94.791122 |
| 9806 | China | CHN | 1997 | 67.117000 | 95.184532 |
| 10070 | China | CHN | 1998 | 66.133000 | 95.559593 |
| 10334 | China | CHN | 1999 | 65.135000 | 95.913231 |
| 10598 | China | CHN | 2000 | 64.123000 | 96.243927 |
| 10862 | China | CHN | 2001 | 62.907000 | 96.556206 |
| 11126 | China | CHN | 2002 | 61.575000 | 96.856140 |
| 11390 | China | CHN | 2003 | 60.224000 | 97.149788 |
| 11654 | China | CHN | 2004 | 58.856000 | 97.443214 |
| 11918 | China | CHN | 2005 | 57.478000 | 97.742493 |
| 12182 | China | CHN | 2006 | 56.132000 | 98.066811 |
| 12446 | China | CHN | 2007 | 54.801000 | 98.398705 |
| 12710 | China | CHN | 2008 | 53.461000 | 98.749916 |
| 12974 | China | CHN | 2009 | 52.120000 | 99.115646 |
| 13238 | China | CHN | 2010 | 50.774000 | 99.700000 |
| 13502 | China | CHN | 2011 | 49.427000 | 99.748726 |
| 13766 | China | CHN | 2012 | 48.111000 | 99.916382 |
| 14030 | China | CHN | 2013 | 46.832000 | 99.983116 |
| 14294 | China | CHN | 2014 | 45.590000 | 99.998489 |
| 14558 | China | CHN | 2015 | 44.386000 | 100.000000 |
| 14822 | China | CHN | 2016 | 43.222000 | 100.000000 |
| 15086 | China | CHN | 2017 | 42.097000 | NaN |
| 43 | Colombia | COL | 1960 | 54.967000 | NaN |
| 307 | Colombia | COL | 1961 | 53.673000 | NaN |
| 571 | Colombia | COL | 1962 | 52.372000 | NaN |
| 835 | Colombia | COL | 1963 | 51.068000 | NaN |
| 1099 | Colombia | COL | 1964 | 49.760000 | NaN |
| 1363 | Colombia | COL | 1965 | 48.978000 | NaN |
| 1627 | Colombia | COL | 1966 | 48.216000 | NaN |
| 1891 | Colombia | COL | 1967 | 47.455000 | NaN |
| 2155 | Colombia | COL | 1968 | 46.694000 | NaN |
| 2419 | Colombia | COL | 1969 | 45.937000 | NaN |
| 2683 | Colombia | COL | 1970 | 45.180000 | NaN |
| 2947 | Colombia | COL | 1971 | 44.426000 | NaN |
| 3211 | Colombia | COL | 1972 | 43.673000 | NaN |
| 3475 | Colombia | COL | 1973 | 42.925000 | NaN |
| 3739 | Colombia | COL | 1974 | 42.189000 | NaN |
| 4003 | Colombia | COL | 1975 | 41.461000 | NaN |
| 4267 | Colombia | COL | 1976 | 40.735000 | NaN |
| 4531 | Colombia | COL | 1977 | 40.015000 | NaN |
| 4795 | Colombia | COL | 1978 | 39.299000 | NaN |
| 5059 | Colombia | COL | 1979 | 38.587000 | NaN |
| 5323 | Colombia | COL | 1980 | 37.879000 | NaN |
| 5587 | Colombia | COL | 1981 | 37.178000 | NaN |
| 5851 | Colombia | COL | 1982 | 36.481000 | NaN |
| 6115 | Colombia | COL | 1983 | 35.790000 | NaN |
| 6379 | Colombia | COL | 1984 | 35.104000 | NaN |
| 6643 | Colombia | COL | 1985 | 34.426000 | NaN |
| 6907 | Colombia | COL | 1986 | 33.846000 | NaN |
| 7171 | Colombia | COL | 1987 | 33.309000 | NaN |
| 7435 | Colombia | COL | 1988 | 32.775000 | NaN |
| 7699 | Colombia | COL | 1989 | 32.248000 | NaN |
| 7963 | Colombia | COL | 1990 | 31.724000 | 89.900000 |
| 8227 | Colombia | COL | 1991 | 31.204000 | 90.760010 |
| 8491 | Colombia | COL | 1992 | 30.689000 | 91.153198 |
| 8755 | Colombia | COL | 1993 | 30.180000 | 91.543327 |
| 9019 | Colombia | COL | 1994 | 29.801000 | 91.927345 |
| 9283 | Colombia | COL | 1995 | 29.484000 | 91.200000 |
| 9547 | Colombia | COL | 1996 | 29.168000 | 92.664772 |
| 9811 | Colombia | COL | 1997 | 28.854000 | 93.012077 |
| 10075 | Colombia | COL | 1998 | 28.543000 | 93.341026 |
| 10339 | Colombia | COL | 1999 | 28.233000 | 93.648560 |
| 10603 | Colombia | COL | 2000 | 27.925000 | 95.200000 |
| 10867 | Colombia | COL | 2001 | 27.620000 | 94.199318 |
| 11131 | Colombia | COL | 2002 | 27.317000 | 94.453140 |
| 11395 | Colombia | COL | 2003 | 27.016000 | 94.700684 |
| 11659 | Colombia | COL | 2004 | 26.716000 | 94.948006 |
| 11923 | Colombia | COL | 2005 | 26.419000 | 96.800000 |
| 12187 | Colombia | COL | 2006 | 26.124000 | 95.466240 |
| 12451 | Colombia | COL | 2007 | 25.831000 | 95.749275 |
| 12715 | Colombia | COL | 2008 | 25.540000 | 96.806763 |
| 12979 | Colombia | COL | 2009 | 25.251000 | 96.057229 |
| 13243 | Colombia | COL | 2010 | 24.964000 | 96.788995 |
| 13507 | Colombia | COL | 2011 | 24.679000 | 96.693600 |
| 13771 | Colombia | COL | 2012 | 24.397000 | 97.032176 |
| 14035 | Colombia | COL | 2013 | 24.117000 | 97.779418 |
| 14299 | Colombia | COL | 2014 | 23.839000 | 97.790938 |
| 14563 | Colombia | COL | 2015 | 23.564000 | 98.186898 |
| 14827 | Colombia | COL | 2016 | 23.292000 | 99.004456 |
| 15091 | Colombia | COL | 2017 | 23.022000 | NaN |
| 44 | Comoros | COM | 1960 | 87.449000 | NaN |
| 308 | Comoros | COM | 1961 | 86.652000 | NaN |
| 572 | Comoros | COM | 1962 | 85.811000 | NaN |
| 836 | Comoros | COM | 1963 | 84.926000 | NaN |
| 1100 | Comoros | COM | 1964 | 83.996000 | NaN |
| 1364 | Comoros | COM | 1965 | 83.022000 | NaN |
| 1628 | Comoros | COM | 1966 | 82.000000 | NaN |
| 1892 | Comoros | COM | 1967 | 81.660000 | NaN |
| 2156 | Comoros | COM | 1968 | 81.315000 | NaN |
| 2420 | Comoros | COM | 1969 | 80.965000 | NaN |
| 2684 | Comoros | COM | 1970 | 80.610000 | NaN |
| 2948 | Comoros | COM | 1971 | 80.250000 | NaN |
| 3212 | Comoros | COM | 1972 | 79.885000 | NaN |
| 3476 | Comoros | COM | 1973 | 79.516000 | NaN |
| 3740 | Comoros | COM | 1974 | 79.141000 | NaN |
| 4004 | Comoros | COM | 1975 | 78.761000 | NaN |
| 4268 | Comoros | COM | 1976 | 78.375000 | NaN |
| 4532 | Comoros | COM | 1977 | 77.986000 | NaN |
| 4796 | Comoros | COM | 1978 | 77.590000 | NaN |
| 5060 | Comoros | COM | 1979 | 77.190000 | NaN |
| 5324 | Comoros | COM | 1980 | 76.785000 | NaN |
| 5588 | Comoros | COM | 1981 | 76.351000 | NaN |
| 5852 | Comoros | COM | 1982 | 75.905000 | NaN |
| 6116 | Comoros | COM | 1983 | 75.452000 | NaN |
| 6380 | Comoros | COM | 1984 | 74.994000 | NaN |
| 6644 | Comoros | COM | 1985 | 74.531000 | NaN |
| 6908 | Comoros | COM | 1986 | 74.062000 | NaN |
| 7172 | Comoros | COM | 1987 | 73.587000 | NaN |
| 7436 | Comoros | COM | 1988 | 73.107000 | NaN |
| 7700 | Comoros | COM | 1989 | 72.622000 | NaN |
| 7964 | Comoros | COM | 1990 | 72.131000 | 15.299549 |
| 8228 | Comoros | COM | 1991 | 71.634000 | 17.766577 |
| 8492 | Comoros | COM | 1992 | 71.565000 | 20.233093 |
| 8756 | Comoros | COM | 1993 | 71.610000 | 22.696552 |
| 9020 | Comoros | COM | 1994 | 71.654000 | 25.153893 |
| 9284 | Comoros | COM | 1995 | 71.699000 | 27.602055 |
| 9548 | Comoros | COM | 1996 | 71.743000 | 28.900000 |
| 9812 | Comoros | COM | 1997 | 71.787000 | 32.458611 |
| 10076 | Comoros | COM | 1998 | 71.832000 | 34.860886 |
| 10340 | Comoros | COM | 1999 | 71.876000 | 37.241749 |
| 10604 | Comoros | COM | 2000 | 71.920000 | 39.599659 |
| 10868 | Comoros | COM | 2001 | 71.964000 | 41.939159 |
| 11132 | Comoros | COM | 2002 | 72.008000 | 44.800000 |
| 11396 | Comoros | COM | 2003 | 72.053000 | 46.587181 |
| 11660 | Comoros | COM | 2004 | 72.097000 | 48.907833 |
| 11924 | Comoros | COM | 2005 | 72.127000 | 51.234322 |
| 12188 | Comoros | COM | 2006 | 72.145000 | 53.572720 |
| 12452 | Comoros | COM | 2007 | 72.149000 | 55.929085 |
| 12716 | Comoros | COM | 2008 | 72.140000 | 58.307968 |
| 12980 | Comoros | COM | 2009 | 72.118000 | 60.707882 |
| 13244 | Comoros | COM | 2010 | 72.082000 | 63.125820 |
| 13508 | Comoros | COM | 2011 | 72.034000 | 65.558777 |
| 13772 | Comoros | COM | 2012 | 71.971000 | 69.300000 |
| 14036 | Comoros | COM | 2013 | 71.896000 | 70.457733 |
| 14300 | Comoros | COM | 2014 | 71.807000 | 72.917725 |
| 14564 | Comoros | COM | 2015 | 71.704000 | 75.380714 |
| 14828 | Comoros | COM | 2016 | 71.588000 | 77.844215 |
| 15092 | Comoros | COM | 2017 | 71.459000 | NaN |
| 41 | Congo, Dem. Rep. | COD | 1960 | 77.700000 | NaN |
| 305 | Congo, Dem. Rep. | COD | 1961 | 77.477000 | NaN |
| 569 | Congo, Dem. Rep. | COD | 1962 | 77.251000 | NaN |
| 833 | Congo, Dem. Rep. | COD | 1963 | 77.024000 | NaN |
| 1097 | Congo, Dem. Rep. | COD | 1964 | 76.796000 | NaN |
| 1361 | Congo, Dem. Rep. | COD | 1965 | 76.566000 | NaN |
| 1625 | Congo, Dem. Rep. | COD | 1966 | 76.334000 | NaN |
| 1889 | Congo, Dem. Rep. | COD | 1967 | 76.101000 | NaN |
| 2153 | Congo, Dem. Rep. | COD | 1968 | 75.866000 | NaN |
| 2417 | Congo, Dem. Rep. | COD | 1969 | 75.630000 | NaN |
| 2681 | Congo, Dem. Rep. | COD | 1970 | 75.392000 | NaN |
| 2945 | Congo, Dem. Rep. | COD | 1971 | 75.153000 | NaN |
| 3209 | Congo, Dem. Rep. | COD | 1972 | 74.911000 | NaN |
| 3473 | Congo, Dem. Rep. | COD | 1973 | 74.669000 | NaN |
| 3737 | Congo, Dem. Rep. | COD | 1974 | 74.425000 | NaN |
| 4001 | Congo, Dem. Rep. | COD | 1975 | 74.179000 | NaN |
| 4265 | Congo, Dem. Rep. | COD | 1976 | 73.932000 | NaN |
| 4529 | Congo, Dem. Rep. | COD | 1977 | 73.683000 | NaN |
| 4793 | Congo, Dem. Rep. | COD | 1978 | 73.433000 | NaN |
| 5057 | Congo, Dem. Rep. | COD | 1979 | 73.181000 | NaN |
| 5321 | Congo, Dem. Rep. | COD | 1980 | 72.928000 | NaN |
| 5585 | Congo, Dem. Rep. | COD | 1981 | 72.673000 | NaN |
| 5849 | Congo, Dem. Rep. | COD | 1982 | 72.417000 | NaN |
| 6113 | Congo, Dem. Rep. | COD | 1983 | 72.160000 | NaN |
| 6377 | Congo, Dem. Rep. | COD | 1984 | 71.900000 | NaN |
| 6641 | Congo, Dem. Rep. | COD | 1985 | 71.487000 | NaN |
| 6905 | Congo, Dem. Rep. | COD | 1986 | 71.070000 | NaN |
| 7169 | Congo, Dem. Rep. | COD | 1987 | 70.650000 | NaN |
| 7433 | Congo, Dem. Rep. | COD | 1988 | 70.225000 | NaN |
| 7697 | Congo, Dem. Rep. | COD | 1989 | 69.798000 | NaN |
| 7961 | Congo, Dem. Rep. | COD | 1990 | 69.367000 | 0.010000 |
| 8225 | Congo, Dem. Rep. | COD | 1991 | 68.933000 | 0.582455 |
| 8489 | Congo, Dem. Rep. | COD | 1992 | 68.494000 | 1.183003 |
| 8753 | Congo, Dem. Rep. | COD | 1993 | 68.054000 | 1.911180 |
| 9017 | Congo, Dem. Rep. | COD | 1994 | 67.610000 | 2.633239 |
| 9281 | Congo, Dem. Rep. | COD | 1995 | 67.162000 | 3.346121 |
| 9545 | Congo, Dem. Rep. | COD | 1996 | 66.711000 | 4.046766 |
| 9809 | Congo, Dem. Rep. | COD | 1997 | 66.258000 | 4.732116 |
| 10073 | Congo, Dem. Rep. | COD | 1998 | 65.801000 | 5.399111 |
| 10337 | Congo, Dem. Rep. | COD | 1999 | 65.341000 | 6.044693 |
| 10601 | Congo, Dem. Rep. | COD | 2000 | 64.878000 | 6.700000 |
| 10865 | Congo, Dem. Rep. | COD | 2001 | 64.413000 | 7.271540 |
| 11129 | Congo, Dem. Rep. | COD | 2002 | 63.945000 | 7.863412 |
| 11393 | Congo, Dem. Rep. | COD | 2003 | 63.474000 | 8.449001 |
| 11657 | Congo, Dem. Rep. | COD | 2004 | 63.000000 | 9.034369 |
| 11921 | Congo, Dem. Rep. | COD | 2005 | 62.522000 | 6.000000 |
| 12185 | Congo, Dem. Rep. | COD | 2006 | 62.039000 | 10.228695 |
| 12449 | Congo, Dem. Rep. | COD | 2007 | 61.552000 | 15.200000 |
| 12713 | Congo, Dem. Rep. | COD | 2008 | 61.059000 | 11.493383 |
| 12977 | Congo, Dem. Rep. | COD | 2009 | 60.563000 | 12.158015 |
| 13241 | Congo, Dem. Rep. | COD | 2010 | 60.063000 | 12.840671 |
| 13505 | Congo, Dem. Rep. | COD | 2011 | 59.558000 | 13.538345 |
| 13769 | Congo, Dem. Rep. | COD | 2012 | 59.050000 | 15.400000 |
| 14033 | Congo, Dem. Rep. | COD | 2013 | 58.539000 | 14.966739 |
| 14297 | Congo, Dem. Rep. | COD | 2014 | 58.024000 | 13.500000 |
| 14561 | Congo, Dem. Rep. | COD | 2015 | 57.506000 | 16.419165 |
| 14825 | Congo, Dem. Rep. | COD | 2016 | 56.985000 | 17.147379 |
| 15089 | Congo, Dem. Rep. | COD | 2017 | 56.463000 | NaN |
| 42 | Congo, Rep. | COG | 1960 | 68.399000 | NaN |
| 306 | Congo, Rep. | COG | 1961 | 67.682000 | NaN |
| 570 | Congo, Rep. | COG | 1962 | 66.955000 | NaN |
| 834 | Congo, Rep. | COG | 1963 | 66.220000 | NaN |
| 1098 | Congo, Rep. | COG | 1964 | 65.476000 | NaN |
| 1362 | Congo, Rep. | COG | 1965 | 64.727000 | NaN |
| 1626 | Congo, Rep. | COG | 1966 | 63.969000 | NaN |
| 1890 | Congo, Rep. | COG | 1967 | 63.204000 | NaN |
| 2154 | Congo, Rep. | COG | 1968 | 62.431000 | NaN |
| 2418 | Congo, Rep. | COG | 1969 | 61.655000 | NaN |
| 2682 | Congo, Rep. | COG | 1970 | 60.871000 | NaN |
| 2946 | Congo, Rep. | COG | 1971 | 60.081000 | NaN |
| 3210 | Congo, Rep. | COG | 1972 | 59.285000 | NaN |
| 3474 | Congo, Rep. | COG | 1973 | 58.486000 | NaN |
| 3738 | Congo, Rep. | COG | 1974 | 57.643000 | NaN |
| 4002 | Congo, Rep. | COG | 1975 | 56.736000 | NaN |
| 4266 | Congo, Rep. | COG | 1976 | 55.823000 | NaN |
| 4530 | Congo, Rep. | COG | 1977 | 54.909000 | NaN |
| 4794 | Congo, Rep. | COG | 1978 | 53.990000 | NaN |
| 5058 | Congo, Rep. | COG | 1979 | 53.068000 | NaN |
| 5322 | Congo, Rep. | COG | 1980 | 52.143000 | NaN |
| 5586 | Congo, Rep. | COG | 1981 | 51.219000 | NaN |
| 5850 | Congo, Rep. | COG | 1982 | 50.293000 | NaN |
| 6114 | Congo, Rep. | COG | 1983 | 49.367000 | NaN |
| 6378 | Congo, Rep. | COG | 1984 | 48.440000 | NaN |
| 6642 | Congo, Rep. | COG | 1985 | 47.779000 | NaN |
| 6906 | Congo, Rep. | COG | 1986 | 47.358000 | NaN |
| 7170 | Congo, Rep. | COG | 1987 | 46.936000 | NaN |
| 7434 | Congo, Rep. | COG | 1988 | 46.515000 | NaN |
| 7698 | Congo, Rep. | COG | 1989 | 46.095000 | NaN |
| 7962 | Congo, Rep. | COG | 1990 | 45.676000 | 0.010000 |
| 8226 | Congo, Rep. | COG | 1991 | 45.257000 | 0.834693 |
| 8490 | Congo, Rep. | COG | 1992 | 44.838000 | 1.627604 |
| 8754 | Congo, Rep. | COG | 1993 | 44.420000 | 3.979706 |
| 9018 | Congo, Rep. | COG | 1994 | 44.004000 | 6.325689 |
| 9282 | Congo, Rep. | COG | 1995 | 43.587000 | 8.662496 |
| 9546 | Congo, Rep. | COG | 1996 | 43.168000 | 10.987065 |
| 9810 | Congo, Rep. | COG | 1997 | 42.701000 | 13.296340 |
| 10074 | Congo, Rep. | COG | 1998 | 42.234000 | 15.587259 |
| 10338 | Congo, Rep. | COG | 1999 | 41.769000 | 17.856766 |
| 10602 | Congo, Rep. | COG | 2000 | 41.305000 | 20.103319 |
| 10866 | Congo, Rep. | COG | 2001 | 40.844000 | 22.331463 |
| 11130 | Congo, Rep. | COG | 2002 | 40.383000 | 24.547260 |
| 11394 | Congo, Rep. | COG | 2003 | 39.924000 | 26.756773 |
| 11658 | Congo, Rep. | COG | 2004 | 39.467000 | 28.966064 |
| 11922 | Congo, Rep. | COG | 2005 | 39.012000 | 33.800000 |
| 12186 | Congo, Rep. | COG | 2006 | 38.559000 | 33.408241 |
| 12450 | Congo, Rep. | COG | 2007 | 38.107000 | 35.653248 |
| 12714 | Congo, Rep. | COG | 2008 | 37.659000 | 37.920776 |
| 12978 | Congo, Rep. | COG | 2009 | 37.214000 | 37.100000 |
| 13242 | Congo, Rep. | COG | 2010 | 36.772000 | 42.515915 |
| 13506 | Congo, Rep. | COG | 2011 | 36.334000 | 44.837513 |
| 13770 | Congo, Rep. | COG | 2012 | 35.900000 | 41.600000 |
| 14034 | Congo, Rep. | COG | 2013 | 35.469000 | 49.513756 |
| 14298 | Congo, Rep. | COG | 2014 | 35.043000 | 51.862392 |
| 14562 | Congo, Rep. | COG | 2015 | 34.620000 | 60.400000 |
| 14826 | Congo, Rep. | COG | 2016 | 34.202000 | 56.566170 |
| 15090 | Congo, Rep. | COG | 2017 | 33.788000 | NaN |
| 46 | Costa Rica | CRI | 1960 | 65.746000 | NaN |
| 310 | Costa Rica | CRI | 1961 | 65.671000 | NaN |
| 574 | Costa Rica | CRI | 1962 | 65.596000 | NaN |
| 838 | Costa Rica | CRI | 1963 | 65.394000 | NaN |
| 1102 | Costa Rica | CRI | 1964 | 64.803000 | NaN |
| 1366 | Costa Rica | CRI | 1965 | 64.209000 | NaN |
| 1630 | Costa Rica | CRI | 1966 | 63.610000 | NaN |
| 1894 | Costa Rica | CRI | 1967 | 63.007000 | NaN |
| 2158 | Costa Rica | CRI | 1968 | 62.399000 | NaN |
| 2422 | Costa Rica | CRI | 1969 | 61.788000 | NaN |
| 2686 | Costa Rica | CRI | 1970 | 61.173000 | NaN |
| 2950 | Costa Rica | CRI | 1971 | 60.555000 | NaN |
| 3214 | Costa Rica | CRI | 1972 | 59.932000 | NaN |
| 3478 | Costa Rica | CRI | 1973 | 59.345000 | NaN |
| 3742 | Costa Rica | CRI | 1974 | 58.998000 | NaN |
| 4006 | Costa Rica | CRI | 1975 | 58.651000 | NaN |
| 4270 | Costa Rica | CRI | 1976 | 58.302000 | NaN |
| 4534 | Costa Rica | CRI | 1977 | 57.954000 | NaN |
| 4798 | Costa Rica | CRI | 1978 | 57.604000 | NaN |
| 5062 | Costa Rica | CRI | 1979 | 57.253000 | NaN |
| 5326 | Costa Rica | CRI | 1980 | 56.901000 | NaN |
| 5590 | Costa Rica | CRI | 1981 | 56.550000 | NaN |
| 5854 | Costa Rica | CRI | 1982 | 56.197000 | NaN |
| 6118 | Costa Rica | CRI | 1983 | 55.844000 | NaN |
| 6382 | Costa Rica | CRI | 1984 | 55.458000 | NaN |
| 6646 | Costa Rica | CRI | 1985 | 54.555000 | NaN |
| 6910 | Costa Rica | CRI | 1986 | 53.647000 | NaN |
| 7174 | Costa Rica | CRI | 1987 | 52.737000 | NaN |
| 7438 | Costa Rica | CRI | 1988 | 51.824000 | NaN |
| 7702 | Costa Rica | CRI | 1989 | 50.912000 | NaN |
| 7966 | Costa Rica | CRI | 1990 | 49.998000 | 97.474663 |
| 8230 | Costa Rica | CRI | 1991 | 49.084000 | 97.634201 |
| 8494 | Costa Rica | CRI | 1992 | 48.170000 | 97.793228 |
| 8758 | Costa Rica | CRI | 1993 | 47.259000 | 97.949196 |
| 9022 | Costa Rica | CRI | 1994 | 46.349000 | 98.092171 |
| 9286 | Costa Rica | CRI | 1995 | 45.441000 | 98.230545 |
| 9550 | Costa Rica | CRI | 1996 | 44.535000 | 98.356689 |
| 9814 | Costa Rica | CRI | 1997 | 43.635000 | 98.467560 |
| 10078 | Costa Rica | CRI | 1998 | 42.738000 | 98.560364 |
| 10342 | Costa Rica | CRI | 1999 | 41.846000 | 98.633240 |
| 10606 | Costa Rica | CRI | 2000 | 40.951000 | 98.686409 |
| 10870 | Costa Rica | CRI | 2001 | 39.593000 | 98.249780 |
| 11134 | Costa Rica | CRI | 2002 | 38.249000 | 98.509188 |
| 11398 | Costa Rica | CRI | 2003 | 36.923000 | 98.695902 |
| 11662 | Costa Rica | CRI | 2004 | 35.615000 | 98.954779 |
| 11926 | Costa Rica | CRI | 2005 | 34.331000 | 99.053051 |
| 12190 | Costa Rica | CRI | 2006 | 33.068000 | 99.147523 |
| 12454 | Costa Rica | CRI | 2007 | 31.828000 | 99.217998 |
| 12718 | Costa Rica | CRI | 2008 | 30.613000 | 99.263937 |
| 12982 | Costa Rica | CRI | 2009 | 29.427000 | 99.409804 |
| 13246 | Costa Rica | CRI | 2010 | 28.266000 | 98.995734 |
| 13510 | Costa Rica | CRI | 2011 | 27.134000 | 99.232348 |
| 13774 | Costa Rica | CRI | 2012 | 26.060000 | 99.503298 |
| 14038 | Costa Rica | CRI | 2013 | 25.044000 | 99.563517 |
| 14302 | Costa Rica | CRI | 2014 | 24.085000 | 99.359291 |
| 14566 | Costa Rica | CRI | 2015 | 23.179000 | 99.409804 |
| 14830 | Costa Rica | CRI | 2016 | 22.325000 | 100.000000 |
| 15094 | Costa Rica | CRI | 2017 | 21.521000 | NaN |
| 39 | Cote d'Ivoire | CIV | 1960 | 82.321000 | NaN |
| 303 | Cote d'Ivoire | CIV | 1961 | 81.089000 | NaN |
| 567 | Cote d'Ivoire | CIV | 1962 | 79.790000 | NaN |
| 831 | Cote d'Ivoire | CIV | 1963 | 78.425000 | NaN |
| 1095 | Cote d'Ivoire | CIV | 1964 | 76.993000 | NaN |
| 1359 | Cote d'Ivoire | CIV | 1965 | 75.500000 | NaN |
| 1623 | Cote d'Ivoire | CIV | 1966 | 74.794000 | NaN |
| 1887 | Cote d'Ivoire | CIV | 1967 | 74.074000 | NaN |
| 2151 | Cote d'Ivoire | CIV | 1968 | 73.341000 | NaN |
| 2415 | Cote d'Ivoire | CIV | 1969 | 72.596000 | NaN |
| 2679 | Cote d'Ivoire | CIV | 1970 | 71.837000 | NaN |
| 2943 | Cote d'Ivoire | CIV | 1971 | 71.066000 | NaN |
| 3207 | Cote d'Ivoire | CIV | 1972 | 70.281000 | NaN |
| 3471 | Cote d'Ivoire | CIV | 1973 | 69.487000 | NaN |
| 3735 | Cote d'Ivoire | CIV | 1974 | 68.679000 | NaN |
| 3999 | Cote d'Ivoire | CIV | 1975 | 67.771000 | NaN |
| 4263 | Cote d'Ivoire | CIV | 1976 | 66.406000 | NaN |
| 4527 | Cote d'Ivoire | CIV | 1977 | 65.017000 | NaN |
| 4791 | Cote d'Ivoire | CIV | 1978 | 63.600000 | NaN |
| 5055 | Cote d'Ivoire | CIV | 1979 | 63.386000 | NaN |
| 5319 | Cote d'Ivoire | CIV | 1980 | 63.171000 | NaN |
| 5583 | Cote d'Ivoire | CIV | 1981 | 62.956000 | NaN |
| 5847 | Cote d'Ivoire | CIV | 1982 | 62.740000 | NaN |
| 6111 | Cote d'Ivoire | CIV | 1983 | 62.524000 | NaN |
| 6375 | Cote d'Ivoire | CIV | 1984 | 62.307000 | NaN |
| 6639 | Cote d'Ivoire | CIV | 1985 | 62.090000 | NaN |
| 6903 | Cote d'Ivoire | CIV | 1986 | 61.873000 | NaN |
| 7167 | Cote d'Ivoire | CIV | 1987 | 61.654000 | NaN |
| 7431 | Cote d'Ivoire | CIV | 1988 | 61.392000 | NaN |
| 7695 | Cote d'Ivoire | CIV | 1989 | 61.024000 | NaN |
| 7959 | Cote d'Ivoire | CIV | 1990 | 60.655000 | 36.659492 |
| 8223 | Cote d'Ivoire | CIV | 1991 | 60.284000 | 37.787281 |
| 8487 | Cote d'Ivoire | CIV | 1992 | 59.912000 | 38.914616 |
| 8751 | Cote d'Ivoire | CIV | 1993 | 59.539000 | 40.039249 |
| 9015 | Cote d'Ivoire | CIV | 1994 | 59.165000 | 36.500000 |
| 9279 | Cote d'Ivoire | CIV | 1995 | 58.790000 | 42.269569 |
| 9543 | Cote d'Ivoire | CIV | 1996 | 58.413000 | 43.369850 |
| 9807 | Cote d'Ivoire | CIV | 1997 | 58.036000 | 44.456600 |
| 10071 | Cote d'Ivoire | CIV | 1998 | 57.658000 | 45.527115 |
| 10335 | Cote d'Ivoire | CIV | 1999 | 57.114000 | 48.200000 |
| 10599 | Cote d'Ivoire | CIV | 2000 | 56.459000 | 47.617424 |
| 10863 | Cote d'Ivoire | CIV | 2001 | 55.805000 | 48.643917 |
| 11127 | Cote d'Ivoire | CIV | 2002 | 55.147000 | 51.400000 |
| 11391 | Cote d'Ivoire | CIV | 2003 | 54.487000 | 50.679062 |
| 11655 | Cote d'Ivoire | CIV | 2004 | 53.825000 | 51.695515 |
| 11919 | Cote d'Ivoire | CIV | 2005 | 53.164000 | 58.900000 |
| 12183 | Cote d'Ivoire | CIV | 2006 | 52.500000 | 53.745678 |
| 12447 | Cote d'Ivoire | CIV | 2007 | 51.734000 | 54.786240 |
| 12711 | Cote d'Ivoire | CIV | 2008 | 50.966000 | 55.837303 |
| 12975 | Cote d'Ivoire | CIV | 2009 | 50.200000 | 56.897114 |
| 13239 | Cote d'Ivoire | CIV | 2010 | 49.443000 | 57.963928 |
| 13503 | Cote d'Ivoire | CIV | 2011 | 48.695000 | 59.035988 |
| 13767 | Cote d'Ivoire | CIV | 2012 | 47.959000 | 55.800000 |
| 14031 | Cote d'Ivoire | CIV | 2013 | 47.234000 | 61.188862 |
| 14295 | Cote d'Ivoire | CIV | 2014 | 46.521000 | 61.900000 |
| 14559 | Cote d'Ivoire | CIV | 2015 | 45.820000 | 64.086197 |
| 14823 | Cote d'Ivoire | CIV | 2016 | 45.131000 | 64.300000 |
| 15087 | Cote d'Ivoire | CIV | 2017 | 44.455000 | NaN |
| 97 | Croatia | HRV | 1960 | 69.846000 | NaN |
| 361 | Croatia | HRV | 1961 | 68.960000 | NaN |
| 625 | Croatia | HRV | 1962 | 67.999000 | NaN |
| 889 | Croatia | HRV | 1963 | 67.021000 | NaN |
| 1153 | Croatia | HRV | 1964 | 66.028000 | NaN |
| 1417 | Croatia | HRV | 1965 | 65.023000 | NaN |
| 1681 | Croatia | HRV | 1966 | 64.003000 | NaN |
| 1945 | Croatia | HRV | 1967 | 62.970000 | NaN |
| 2209 | Croatia | HRV | 1968 | 61.924000 | NaN |
| 2473 | Croatia | HRV | 1969 | 60.870000 | NaN |
| 2737 | Croatia | HRV | 1970 | 59.804000 | NaN |
| 3001 | Croatia | HRV | 1971 | 58.758000 | NaN |
| 3265 | Croatia | HRV | 1972 | 57.794000 | NaN |
| 3529 | Croatia | HRV | 1973 | 56.827000 | NaN |
| 3793 | Croatia | HRV | 1974 | 55.853000 | NaN |
| 4057 | Croatia | HRV | 1975 | 54.874000 | NaN |
| 4321 | Croatia | HRV | 1976 | 53.891000 | NaN |
| 4585 | Croatia | HRV | 1977 | 52.907000 | NaN |
| 4849 | Croatia | HRV | 1978 | 51.919000 | NaN |
| 5113 | Croatia | HRV | 1979 | 50.930000 | NaN |
| 5377 | Croatia | HRV | 1980 | 49.939000 | NaN |
| 5641 | Croatia | HRV | 1981 | 49.112000 | NaN |
| 5905 | Croatia | HRV | 1982 | 48.761000 | NaN |
| 6169 | Croatia | HRV | 1983 | 48.410000 | NaN |
| 6433 | Croatia | HRV | 1984 | 48.059000 | NaN |
| 6697 | Croatia | HRV | 1985 | 47.709000 | NaN |
| 6961 | Croatia | HRV | 1986 | 47.359000 | NaN |
| 7225 | Croatia | HRV | 1987 | 47.009000 | NaN |
| 7489 | Croatia | HRV | 1988 | 46.659000 | NaN |
| 7753 | Croatia | HRV | 1989 | 46.310000 | NaN |
| 8017 | Croatia | HRV | 1990 | 45.961000 | 100.000000 |
| 8281 | Croatia | HRV | 1991 | 45.665000 | 100.000000 |
| 8545 | Croatia | HRV | 1992 | 45.525000 | 100.000000 |
| 8809 | Croatia | HRV | 1993 | 45.386000 | 100.000000 |
| 9073 | Croatia | HRV | 1994 | 45.247000 | 100.000000 |
| 9337 | Croatia | HRV | 1995 | 45.108000 | 100.000000 |
| 9601 | Croatia | HRV | 1996 | 44.969000 | 100.000000 |
| 9865 | Croatia | HRV | 1997 | 44.830000 | 100.000000 |
| 10129 | Croatia | HRV | 1998 | 44.691000 | 100.000000 |
| 10393 | Croatia | HRV | 1999 | 44.552000 | 100.000000 |
| 10657 | Croatia | HRV | 2000 | 44.413000 | 100.000000 |
| 10921 | Croatia | HRV | 2001 | 44.275000 | 100.000000 |
| 11185 | Croatia | HRV | 2002 | 44.124000 | 100.000000 |
| 11449 | Croatia | HRV | 2003 | 43.960000 | 100.000000 |
| 11713 | Croatia | HRV | 2004 | 43.783000 | 100.000000 |
| 11977 | Croatia | HRV | 2005 | 43.594000 | 100.000000 |
| 12241 | Croatia | HRV | 2006 | 43.392000 | 100.000000 |
| 12505 | Croatia | HRV | 2007 | 43.178000 | 100.000000 |
| 12769 | Croatia | HRV | 2008 | 42.952000 | 100.000000 |
| 13033 | Croatia | HRV | 2009 | 42.713000 | 100.000000 |
| 13297 | Croatia | HRV | 2010 | 42.463000 | 100.000000 |
| 13561 | Croatia | HRV | 2011 | 42.200000 | 100.000000 |
| 13825 | Croatia | HRV | 2012 | 41.926000 | 100.000000 |
| 14089 | Croatia | HRV | 2013 | 41.641000 | 100.000000 |
| 14353 | Croatia | HRV | 2014 | 41.344000 | 100.000000 |
| 14617 | Croatia | HRV | 2015 | 41.036000 | 100.000000 |
| 14881 | Croatia | HRV | 2016 | 40.716000 | 100.000000 |
| 15145 | Croatia | HRV | 2017 | 40.387000 | NaN |
| 48 | Cuba | CUB | 1960 | 41.599000 | NaN |
| 312 | Cuba | CUB | 1961 | 41.412000 | NaN |
| 576 | Cuba | CUB | 1962 | 41.224000 | NaN |
| 840 | Cuba | CUB | 1963 | 41.037000 | NaN |
| 1104 | Cuba | CUB | 1964 | 40.850000 | NaN |
| 1368 | Cuba | CUB | 1965 | 40.663000 | NaN |
| 1632 | Cuba | CUB | 1966 | 40.477000 | NaN |
| 1896 | Cuba | CUB | 1967 | 40.291000 | NaN |
| 2160 | Cuba | CUB | 1968 | 40.105000 | NaN |
| 2424 | Cuba | CUB | 1969 | 39.919000 | NaN |
| 2688 | Cuba | CUB | 1970 | 39.734000 | NaN |
| 2952 | Cuba | CUB | 1971 | 39.024000 | NaN |
| 3216 | Cuba | CUB | 1972 | 38.200000 | NaN |
| 3480 | Cuba | CUB | 1973 | 37.386000 | NaN |
| 3744 | Cuba | CUB | 1974 | 36.577000 | NaN |
| 4008 | Cuba | CUB | 1975 | 35.776000 | NaN |
| 4272 | Cuba | CUB | 1976 | 34.982000 | NaN |
| 4536 | Cuba | CUB | 1977 | 34.198000 | NaN |
| 4800 | Cuba | CUB | 1978 | 33.421000 | NaN |
| 5064 | Cuba | CUB | 1979 | 32.654000 | NaN |
| 5328 | Cuba | CUB | 1980 | 31.894000 | NaN |
| 5592 | Cuba | CUB | 1981 | 31.147000 | NaN |
| 5856 | Cuba | CUB | 1982 | 30.586000 | NaN |
| 6120 | Cuba | CUB | 1983 | 30.075000 | NaN |
| 6384 | Cuba | CUB | 1984 | 29.567000 | NaN |
| 6648 | Cuba | CUB | 1985 | 29.067000 | NaN |
| 6912 | Cuba | CUB | 1986 | 28.570000 | NaN |
| 7176 | Cuba | CUB | 1987 | 28.079000 | NaN |
| 7440 | Cuba | CUB | 1988 | 27.592000 | NaN |
| 7704 | Cuba | CUB | 1989 | 27.112000 | NaN |
| 7968 | Cuba | CUB | 1990 | 26.636000 | 92.521927 |
| 8232 | Cuba | CUB | 1991 | 26.324000 | 92.999802 |
| 8496 | Cuba | CUB | 1992 | 26.173000 | 93.477173 |
| 8760 | Cuba | CUB | 1993 | 26.023000 | 93.951477 |
| 9024 | Cuba | CUB | 1994 | 25.873000 | 94.419670 |
| 9288 | Cuba | CUB | 1995 | 25.723000 | 94.878677 |
| 9552 | Cuba | CUB | 1996 | 25.574000 | 95.325455 |
| 9816 | Cuba | CUB | 1997 | 25.382000 | 95.756935 |
| 10080 | Cuba | CUB | 1998 | 25.145000 | 96.170059 |
| 10344 | Cuba | CUB | 1999 | 24.911000 | 96.561775 |
| 10608 | Cuba | CUB | 2000 | 24.677000 | 97.000000 |
| 10872 | Cuba | CUB | 2001 | 24.445000 | 97.280884 |
| 11136 | Cuba | CUB | 2002 | 24.215000 | 97.618889 |
| 11400 | Cuba | CUB | 2003 | 24.053000 | 97.950607 |
| 11664 | Cuba | CUB | 2004 | 23.959000 | 98.286491 |
| 11928 | Cuba | CUB | 2005 | 23.866000 | 98.628357 |
| 12192 | Cuba | CUB | 2006 | 23.773000 | 98.979706 |
| 12456 | Cuba | CUB | 2007 | 23.680000 | 99.330185 |
| 12720 | Cuba | CUB | 2008 | 23.587000 | 99.640366 |
| 12984 | Cuba | CUB | 2009 | 23.495000 | 99.857330 |
| 13248 | Cuba | CUB | 2010 | 23.403000 | 99.963898 |
| 13512 | Cuba | CUB | 2011 | 23.311000 | 99.995712 |
| 13776 | Cuba | CUB | 2012 | 23.219000 | 100.000000 |
| 14040 | Cuba | CUB | 2013 | 23.128000 | 100.000000 |
| 14304 | Cuba | CUB | 2014 | 23.030000 | 100.000000 |
| 14568 | Cuba | CUB | 2015 | 22.926000 | 100.000000 |
| 14832 | Cuba | CUB | 2016 | 22.816000 | 100.000000 |
| 15096 | Cuba | CUB | 2017 | 22.700000 | NaN |
| 49 | Curacao | CUW | 1960 | 25.290000 | NaN |
| 313 | Curacao | CUW | 1961 | 24.898000 | NaN |
| 577 | Curacao | CUW | 1962 | 24.510000 | NaN |
| 841 | Curacao | CUW | 1963 | 24.125000 | NaN |
| 1105 | Curacao | CUW | 1964 | 23.745000 | NaN |
| 1369 | Curacao | CUW | 1965 | 23.369000 | NaN |
| 1633 | Curacao | CUW | 1966 | 22.997000 | NaN |
| 1897 | Curacao | CUW | 1967 | 22.630000 | NaN |
| 2161 | Curacao | CUW | 1968 | 22.266000 | NaN |
| 2425 | Curacao | CUW | 1969 | 21.907000 | NaN |
| 2689 | Curacao | CUW | 1970 | 21.552000 | NaN |
| 2953 | Curacao | CUW | 1971 | 21.201000 | NaN |
| 3217 | Curacao | CUW | 1972 | 20.854000 | NaN |
| 3481 | Curacao | CUW | 1973 | 20.512000 | NaN |
| 3745 | Curacao | CUW | 1974 | 20.173000 | NaN |
| 4009 | Curacao | CUW | 1975 | 19.839000 | NaN |
| 4273 | Curacao | CUW | 1976 | 19.509000 | NaN |
| 4537 | Curacao | CUW | 1977 | 19.183000 | NaN |
| 4801 | Curacao | CUW | 1978 | 18.862000 | NaN |
| 5065 | Curacao | CUW | 1979 | 18.544000 | NaN |
| 5329 | Curacao | CUW | 1980 | 18.231000 | NaN |
| 5593 | Curacao | CUW | 1981 | 17.922000 | NaN |
| 5857 | Curacao | CUW | 1982 | 17.617000 | NaN |
| 6121 | Curacao | CUW | 1983 | 17.316000 | NaN |
| 6385 | Curacao | CUW | 1984 | 17.018000 | NaN |
| 6649 | Curacao | CUW | 1985 | 16.726000 | NaN |
| 6913 | Curacao | CUW | 1986 | 16.437000 | NaN |
| 7177 | Curacao | CUW | 1987 | 16.152000 | NaN |
| 7441 | Curacao | CUW | 1988 | 15.871000 | NaN |
| 7705 | Curacao | CUW | 1989 | 15.595000 | NaN |
| 7969 | Curacao | CUW | 1990 | 15.322000 | 100.000000 |
| 8233 | Curacao | CUW | 1991 | 15.053000 | 100.000000 |
| 8497 | Curacao | CUW | 1992 | 14.556000 | 100.000000 |
| 8761 | Curacao | CUW | 1993 | 13.776000 | 100.000000 |
| 9025 | Curacao | CUW | 1994 | 13.031000 | 100.000000 |
| 9289 | Curacao | CUW | 1995 | 12.320000 | 100.000000 |
| 9553 | Curacao | CUW | 1996 | 11.642000 | 100.000000 |
| 9817 | Curacao | CUW | 1997 | 10.998000 | 100.000000 |
| 10081 | Curacao | CUW | 1998 | 10.385000 | 100.000000 |
| 10345 | Curacao | CUW | 1999 | 9.802000 | 100.000000 |
| 10609 | Curacao | CUW | 2000 | 9.248000 | 100.000000 |
| 10873 | Curacao | CUW | 2001 | 8.989000 | 100.000000 |
| 11137 | Curacao | CUW | 2002 | 9.106000 | 100.000000 |
| 11401 | Curacao | CUW | 2003 | 9.225000 | 100.000000 |
| 11665 | Curacao | CUW | 2004 | 9.345000 | 100.000000 |
| 11929 | Curacao | CUW | 2005 | 9.466000 | 100.000000 |
| 12193 | Curacao | CUW | 2006 | 9.589000 | 100.000000 |
| 12457 | Curacao | CUW | 2007 | 9.713000 | 100.000000 |
| 12721 | Curacao | CUW | 2008 | 9.839000 | 100.000000 |
| 12985 | Curacao | CUW | 2009 | 9.966000 | 100.000000 |
| 13249 | Curacao | CUW | 2010 | 10.095000 | 100.000000 |
| 13513 | Curacao | CUW | 2011 | 10.225000 | 100.000000 |
| 13777 | Curacao | CUW | 2012 | 10.348000 | 100.000000 |
| 14041 | Curacao | CUW | 2013 | 10.463000 | 100.000000 |
| 14305 | Curacao | CUW | 2014 | 10.570000 | 100.000000 |
| 14569 | Curacao | CUW | 2015 | 10.669000 | 100.000000 |
| 14833 | Curacao | CUW | 2016 | 10.759000 | 100.000000 |
| 15097 | Curacao | CUW | 2017 | 10.841000 | NaN |
| 51 | Cyprus | CYP | 1960 | 64.372000 | NaN |
| 315 | Cyprus | CYP | 1961 | 63.825000 | NaN |
| 579 | Cyprus | CYP | 1962 | 63.326000 | NaN |
| 843 | Cyprus | CYP | 1963 | 62.824000 | NaN |
| 1107 | Cyprus | CYP | 1964 | 62.319000 | NaN |
| 1371 | Cyprus | CYP | 1965 | 61.812000 | NaN |
| 1635 | Cyprus | CYP | 1966 | 61.302000 | NaN |
| 1899 | Cyprus | CYP | 1967 | 60.790000 | NaN |
| 2163 | Cyprus | CYP | 1968 | 60.274000 | NaN |
| 2427 | Cyprus | CYP | 1969 | 59.758000 | NaN |
| 2691 | Cyprus | CYP | 1970 | 59.239000 | NaN |
| 2955 | Cyprus | CYP | 1971 | 58.717000 | NaN |
| 3219 | Cyprus | CYP | 1972 | 58.193000 | NaN |
| 3483 | Cyprus | CYP | 1973 | 57.243000 | NaN |
| 3747 | Cyprus | CYP | 1974 | 54.993000 | NaN |
| 4011 | Cyprus | CYP | 1975 | 52.723000 | NaN |
| 4275 | Cyprus | CYP | 1976 | 50.437000 | NaN |
| 4539 | Cyprus | CYP | 1977 | 48.157000 | NaN |
| 4803 | Cyprus | CYP | 1978 | 45.881000 | NaN |
| 5067 | Cyprus | CYP | 1979 | 43.622000 | NaN |
| 5331 | Cyprus | CYP | 1980 | 41.386000 | NaN |
| 5595 | Cyprus | CYP | 1981 | 39.191000 | NaN |
| 5859 | Cyprus | CYP | 1982 | 37.036000 | NaN |
| 6123 | Cyprus | CYP | 1983 | 36.178000 | NaN |
| 6387 | Cyprus | CYP | 1984 | 35.748000 | NaN |
| 6651 | Cyprus | CYP | 1985 | 35.322000 | NaN |
| 6915 | Cyprus | CYP | 1986 | 34.898000 | NaN |
| 7179 | Cyprus | CYP | 1987 | 34.476000 | NaN |
| 7443 | Cyprus | CYP | 1988 | 34.055000 | NaN |
| 7707 | Cyprus | CYP | 1989 | 33.639000 | NaN |
| 7971 | Cyprus | CYP | 1990 | 33.224000 | 100.000000 |
| 8235 | Cyprus | CYP | 1991 | 32.812000 | 100.000000 |
| 8499 | Cyprus | CYP | 1992 | 32.402000 | 100.000000 |
| 8763 | Cyprus | CYP | 1993 | 32.208000 | 100.000000 |
| 9027 | Cyprus | CYP | 1994 | 32.085000 | 100.000000 |
| 9291 | Cyprus | CYP | 1995 | 31.962000 | 100.000000 |
| 9555 | Cyprus | CYP | 1996 | 31.839000 | 100.000000 |
| 9819 | Cyprus | CYP | 1997 | 31.717000 | 100.000000 |
| 10083 | Cyprus | CYP | 1998 | 31.595000 | 100.000000 |
| 10347 | Cyprus | CYP | 1999 | 31.473000 | 100.000000 |
| 10611 | Cyprus | CYP | 2000 | 31.352000 | 100.000000 |
| 10875 | Cyprus | CYP | 2001 | 31.231000 | 100.000000 |
| 11139 | Cyprus | CYP | 2002 | 31.306000 | 100.000000 |
| 11403 | Cyprus | CYP | 2003 | 31.447000 | 100.000000 |
| 11667 | Cyprus | CYP | 2004 | 31.590000 | 100.000000 |
| 11931 | Cyprus | CYP | 2005 | 31.732000 | 100.000000 |
| 12195 | Cyprus | CYP | 2006 | 31.875000 | 100.000000 |
| 12459 | Cyprus | CYP | 2007 | 32.018000 | 100.000000 |
| 12723 | Cyprus | CYP | 2008 | 32.161000 | 100.000000 |
| 12987 | Cyprus | CYP | 2009 | 32.305000 | 100.000000 |
| 13251 | Cyprus | CYP | 2010 | 32.449000 | 100.000000 |
| 13515 | Cyprus | CYP | 2011 | 32.594000 | 100.000000 |
| 13779 | Cyprus | CYP | 2012 | 32.739000 | 100.000000 |
| 14043 | Cyprus | CYP | 2013 | 32.867000 | 100.000000 |
| 14307 | Cyprus | CYP | 2014 | 32.981000 | 100.000000 |
| 14571 | Cyprus | CYP | 2015 | 33.079000 | 100.000000 |
| 14835 | Cyprus | CYP | 2016 | 33.160000 | 100.000000 |
| 15099 | Cyprus | CYP | 2017 | 33.226000 | NaN |
| 52 | Czech Republic | CZE | 1960 | 40.452000 | NaN |
| 316 | Czech Republic | CZE | 1961 | 39.937000 | NaN |
| 580 | Czech Republic | CZE | 1962 | 39.445000 | NaN |
| 844 | Czech Republic | CZE | 1963 | 38.956000 | NaN |
| 1108 | Czech Republic | CZE | 1964 | 38.468000 | NaN |
| 1372 | Czech Republic | CZE | 1965 | 37.984000 | NaN |
| 1636 | Czech Republic | CZE | 1966 | 37.502000 | NaN |
| 1900 | Czech Republic | CZE | 1967 | 37.022000 | NaN |
| 2164 | Czech Republic | CZE | 1968 | 36.544000 | NaN |
| 2428 | Czech Republic | CZE | 1969 | 36.070000 | NaN |
| 2692 | Czech Republic | CZE | 1970 | 35.598000 | NaN |
| 2956 | Czech Republic | CZE | 1971 | 34.705000 | NaN |
| 3220 | Czech Republic | CZE | 1972 | 33.516000 | NaN |
| 3484 | Czech Republic | CZE | 1973 | 32.351000 | NaN |
| 3748 | Czech Republic | CZE | 1974 | 31.206000 | NaN |
| 4012 | Czech Republic | CZE | 1975 | 30.083000 | NaN |
| 4276 | Czech Republic | CZE | 1976 | 28.982000 | NaN |
| 4540 | Czech Republic | CZE | 1977 | 27.908000 | NaN |
| 4804 | Czech Republic | CZE | 1978 | 26.858000 | NaN |
| 5068 | Czech Republic | CZE | 1979 | 25.833000 | NaN |
| 5332 | Czech Republic | CZE | 1980 | 24.833000 | NaN |
| 5596 | Czech Republic | CZE | 1981 | 24.519000 | NaN |
| 5860 | Czech Republic | CZE | 1982 | 24.548000 | NaN |
| 6124 | Czech Republic | CZE | 1983 | 24.577000 | NaN |
| 6388 | Czech Republic | CZE | 1984 | 24.606000 | NaN |
| 6652 | Czech Republic | CZE | 1985 | 24.635000 | NaN |
| 6916 | Czech Republic | CZE | 1986 | 24.664000 | NaN |
| 7180 | Czech Republic | CZE | 1987 | 24.693000 | NaN |
| 7444 | Czech Republic | CZE | 1988 | 24.722000 | NaN |
| 7708 | Czech Republic | CZE | 1989 | 24.751000 | NaN |
| 7972 | Czech Republic | CZE | 1990 | 24.780000 | 100.000000 |
| 8236 | Czech Republic | CZE | 1991 | 24.842000 | 100.000000 |
| 8500 | Czech Republic | CZE | 1992 | 24.970000 | 100.000000 |
| 8764 | Czech Republic | CZE | 1993 | 25.099000 | 100.000000 |
| 9028 | Czech Republic | CZE | 1994 | 25.228000 | 100.000000 |
| 9292 | Czech Republic | CZE | 1995 | 25.357000 | 100.000000 |
| 9556 | Czech Republic | CZE | 1996 | 25.487000 | 100.000000 |
| 9820 | Czech Republic | CZE | 1997 | 25.618000 | 100.000000 |
| 10084 | Czech Republic | CZE | 1998 | 25.749000 | 100.000000 |
| 10348 | Czech Republic | CZE | 1999 | 25.880000 | 100.000000 |
| 10612 | Czech Republic | CZE | 2000 | 26.012000 | 100.000000 |
| 10876 | Czech Republic | CZE | 2001 | 26.123000 | 100.000000 |
| 11140 | Czech Republic | CZE | 2002 | 26.191000 | 100.000000 |
| 11404 | Czech Republic | CZE | 2003 | 26.260000 | 100.000000 |
| 11668 | Czech Republic | CZE | 2004 | 26.329000 | 100.000000 |
| 11932 | Czech Republic | CZE | 2005 | 26.398000 | 100.000000 |
| 12196 | Czech Republic | CZE | 2006 | 26.467000 | 100.000000 |
| 12460 | Czech Republic | CZE | 2007 | 26.537000 | 100.000000 |
| 12724 | Czech Republic | CZE | 2008 | 26.606000 | 100.000000 |
| 12988 | Czech Republic | CZE | 2009 | 26.676000 | 100.000000 |
| 13252 | Czech Republic | CZE | 2010 | 26.745000 | 100.000000 |
| 13516 | Czech Republic | CZE | 2011 | 26.815000 | 100.000000 |
| 13780 | Czech Republic | CZE | 2012 | 26.885000 | 100.000000 |
| 14044 | Czech Republic | CZE | 2013 | 26.940000 | 100.000000 |
| 14308 | Czech Republic | CZE | 2014 | 26.981000 | 100.000000 |
| 14572 | Czech Republic | CZE | 2015 | 27.008000 | 100.000000 |
| 14836 | Czech Republic | CZE | 2016 | 27.020000 | 100.000000 |
| 15100 | Czech Republic | CZE | 2017 | 27.017000 | NaN |
| 56 | Denmark | DNK | 1960 | 26.313000 | NaN |
| 320 | Denmark | DNK | 1961 | 25.583000 | NaN |
| 584 | Denmark | DNK | 1962 | 24.907000 | NaN |
| 848 | Denmark | DNK | 1963 | 24.243000 | NaN |
| 1112 | Denmark | DNK | 1964 | 23.591000 | NaN |
| 1376 | Denmark | DNK | 1965 | 22.952000 | NaN |
| 1640 | Denmark | DNK | 1966 | 22.381000 | NaN |
| 1904 | Denmark | DNK | 1967 | 21.837000 | NaN |
| 2168 | Denmark | DNK | 1968 | 21.302000 | NaN |
| 2432 | Denmark | DNK | 1969 | 20.778000 | NaN |
| 2696 | Denmark | DNK | 1970 | 20.263000 | NaN |
| 2960 | Denmark | DNK | 1971 | 19.761000 | NaN |
| 3224 | Denmark | DNK | 1972 | 19.269000 | NaN |
| 3488 | Denmark | DNK | 1973 | 18.789000 | NaN |
| 3752 | Denmark | DNK | 1974 | 18.317000 | NaN |
| 4016 | Denmark | DNK | 1975 | 17.854000 | NaN |
| 4280 | Denmark | DNK | 1976 | 17.400000 | NaN |
| 4544 | Denmark | DNK | 1977 | 17.114000 | NaN |
| 4808 | Denmark | DNK | 1978 | 16.831000 | NaN |
| 5072 | Denmark | DNK | 1979 | 16.552000 | NaN |
| 5336 | Denmark | DNK | 1980 | 16.277000 | NaN |
| 5600 | Denmark | DNK | 1981 | 16.085000 | NaN |
| 5864 | Denmark | DNK | 1982 | 15.975000 | NaN |
| 6128 | Denmark | DNK | 1983 | 15.866000 | NaN |
| 6392 | Denmark | DNK | 1984 | 15.757000 | NaN |
| 6656 | Denmark | DNK | 1985 | 15.649000 | NaN |
| 6920 | Denmark | DNK | 1986 | 15.542000 | NaN |
| 7184 | Denmark | DNK | 1987 | 15.435000 | NaN |
| 7448 | Denmark | DNK | 1988 | 15.329000 | NaN |
| 7712 | Denmark | DNK | 1989 | 15.223000 | NaN |
| 7976 | Denmark | DNK | 1990 | 15.157000 | 100.000000 |
| 8240 | Denmark | DNK | 1991 | 15.129000 | 100.000000 |
| 8504 | Denmark | DNK | 1992 | 15.102000 | 100.000000 |
| 8768 | Denmark | DNK | 1993 | 15.075000 | 100.000000 |
| 9032 | Denmark | DNK | 1994 | 15.048000 | 100.000000 |
| 9296 | Denmark | DNK | 1995 | 15.021000 | 100.000000 |
| 9560 | Denmark | DNK | 1996 | 14.994000 | 100.000000 |
| 9824 | Denmark | DNK | 1997 | 14.967000 | 100.000000 |
| 10088 | Denmark | DNK | 1998 | 14.940000 | 100.000000 |
| 10352 | Denmark | DNK | 1999 | 14.914000 | 100.000000 |
| 10616 | Denmark | DNK | 2000 | 14.900000 | 100.000000 |
| 10880 | Denmark | DNK | 2001 | 14.850000 | 100.000000 |
| 11144 | Denmark | DNK | 2002 | 14.750000 | 100.000000 |
| 11408 | Denmark | DNK | 2003 | 14.640000 | 100.000000 |
| 11672 | Denmark | DNK | 2004 | 14.434000 | 100.000000 |
| 11936 | Denmark | DNK | 2005 | 14.144000 | 100.000000 |
| 12200 | Denmark | DNK | 2006 | 13.902000 | 100.000000 |
| 12464 | Denmark | DNK | 2007 | 13.707000 | 100.000000 |
| 12728 | Denmark | DNK | 2008 | 13.513000 | 100.000000 |
| 12992 | Denmark | DNK | 2009 | 13.346000 | 100.000000 |
| 13256 | Denmark | DNK | 2010 | 13.205000 | 100.000000 |
| 13520 | Denmark | DNK | 2011 | 13.043000 | 100.000000 |
| 13784 | Denmark | DNK | 2012 | 12.858000 | 100.000000 |
| 14048 | Denmark | DNK | 2013 | 12.676000 | 100.000000 |
| 14312 | Denmark | DNK | 2014 | 12.498000 | 100.000000 |
| 14576 | Denmark | DNK | 2015 | 12.324000 | 100.000000 |
| 14840 | Denmark | DNK | 2016 | 12.153000 | 100.000000 |
| 15104 | Denmark | DNK | 2017 | 11.985000 | NaN |
| 54 | Djibouti | DJI | 1960 | 49.675000 | NaN |
| 318 | Djibouti | DJI | 1961 | 48.552000 | NaN |
| 582 | Djibouti | DJI | 1962 | 47.381000 | NaN |
| 846 | Djibouti | DJI | 1963 | 46.213000 | NaN |
| 1110 | Djibouti | DJI | 1964 | 45.048000 | NaN |
| 1374 | Djibouti | DJI | 1965 | 43.891000 | NaN |
| 1638 | Djibouti | DJI | 1966 | 42.740000 | NaN |
| 1902 | Djibouti | DJI | 1967 | 41.596000 | NaN |
| 2166 | Djibouti | DJI | 1968 | 40.460000 | NaN |
| 2430 | Djibouti | DJI | 1969 | 39.336000 | NaN |
| 2694 | Djibouti | DJI | 1970 | 38.223000 | NaN |
| 2958 | Djibouti | DJI | 1971 | 37.122000 | NaN |
| 3222 | Djibouti | DJI | 1972 | 36.032000 | NaN |
| 3486 | Djibouti | DJI | 1973 | 34.960000 | NaN |
| 3750 | Djibouti | DJI | 1974 | 33.901000 | NaN |
| 4014 | Djibouti | DJI | 1975 | 32.858000 | NaN |
| 4278 | Djibouti | DJI | 1976 | 31.830000 | NaN |
| 4542 | Djibouti | DJI | 1977 | 30.822000 | NaN |
| 4806 | Djibouti | DJI | 1978 | 29.831000 | NaN |
| 5070 | Djibouti | DJI | 1979 | 28.859000 | NaN |
| 5334 | Djibouti | DJI | 1980 | 27.904000 | NaN |
| 5598 | Djibouti | DJI | 1981 | 26.972000 | NaN |
| 5862 | Djibouti | DJI | 1982 | 26.058000 | NaN |
| 6126 | Djibouti | DJI | 1983 | 25.496000 | NaN |
| 6390 | Djibouti | DJI | 1984 | 25.285000 | NaN |
| 6654 | Djibouti | DJI | 1985 | 25.075000 | NaN |
| 6918 | Djibouti | DJI | 1986 | 24.866000 | NaN |
| 7182 | Djibouti | DJI | 1987 | 24.659000 | NaN |
| 7446 | Djibouti | DJI | 1988 | 24.452000 | NaN |
| 7710 | Djibouti | DJI | 1989 | 24.247000 | NaN |
| 7974 | Djibouti | DJI | 1990 | 24.043000 | 59.609077 |
| 8238 | Djibouti | DJI | 1991 | 23.886000 | 59.369526 |
| 8502 | Djibouti | DJI | 1992 | 23.839000 | 59.129463 |
| 8766 | Djibouti | DJI | 1993 | 23.793000 | 58.886345 |
| 9030 | Djibouti | DJI | 1994 | 23.746000 | 58.637104 |
| 9294 | Djibouti | DJI | 1995 | 23.700000 | 58.378689 |
| 9558 | Djibouti | DJI | 1996 | 23.653000 | 62.000000 |
| 9822 | Djibouti | DJI | 1997 | 23.607000 | 57.822086 |
| 10086 | Djibouti | DJI | 1998 | 23.561000 | 57.517784 |
| 10350 | Djibouti | DJI | 1999 | 23.515000 | 57.192070 |
| 10614 | Djibouti | DJI | 2000 | 23.468000 | 56.843399 |
| 10878 | Djibouti | DJI | 2001 | 23.422000 | 56.476322 |
| 11142 | Djibouti | DJI | 2002 | 23.376000 | 49.700000 |
| 11406 | Djibouti | DJI | 2003 | 23.330000 | 55.711185 |
| 11670 | Djibouti | DJI | 2004 | 23.284000 | 55.325256 |
| 11934 | Djibouti | DJI | 2005 | 23.239000 | 54.945168 |
| 12198 | Djibouti | DJI | 2006 | 23.193000 | 55.500000 |
| 12462 | Djibouti | DJI | 2007 | 23.147000 | 54.226772 |
| 12726 | Djibouti | DJI | 2008 | 23.101000 | 53.899078 |
| 12990 | Djibouti | DJI | 2009 | 23.056000 | 53.592415 |
| 13254 | Djibouti | DJI | 2010 | 23.004000 | 53.303772 |
| 13518 | Djibouti | DJI | 2011 | 22.947000 | 53.030148 |
| 13782 | Djibouti | DJI | 2012 | 22.883000 | 54.600000 |
| 14046 | Djibouti | DJI | 2013 | 22.814000 | 52.515945 |
| 14310 | Djibouti | DJI | 2014 | 22.738000 | 52.269360 |
| 14574 | Djibouti | DJI | 2015 | 22.657000 | 52.025776 |
| 14838 | Djibouti | DJI | 2016 | 22.570000 | 51.782692 |
| 15102 | Djibouti | DJI | 2017 | 22.477000 | NaN |
| 55 | Dominica | DMA | 1960 | 62.154000 | NaN |
| 319 | Dominica | DMA | 1961 | 62.088000 | NaN |
| 583 | Dominica | DMA | 1962 | 62.021000 | NaN |
| 847 | Dominica | DMA | 1963 | 61.954000 | NaN |
| 1111 | Dominica | DMA | 1964 | 61.887000 | NaN |
| 1375 | Dominica | DMA | 1965 | 61.820000 | NaN |
| 1639 | Dominica | DMA | 1966 | 61.753000 | NaN |
| 1903 | Dominica | DMA | 1967 | 61.686000 | NaN |
| 2167 | Dominica | DMA | 1968 | 61.619000 | NaN |
| 2431 | Dominica | DMA | 1969 | 61.552000 | NaN |
| 2695 | Dominica | DMA | 1970 | 61.317000 | NaN |
| 2959 | Dominica | DMA | 1971 | 60.530000 | NaN |
| 3223 | Dominica | DMA | 1972 | 59.736000 | NaN |
| 3487 | Dominica | DMA | 1973 | 58.939000 | NaN |
| 3751 | Dominica | DMA | 1974 | 58.136000 | NaN |
| 4015 | Dominica | DMA | 1975 | 57.329000 | NaN |
| 4279 | Dominica | DMA | 1976 | 56.516000 | NaN |
| 4543 | Dominica | DMA | 1977 | 55.703000 | NaN |
| 4807 | Dominica | DMA | 1978 | 54.885000 | NaN |
| 5071 | Dominica | DMA | 1979 | 54.065000 | NaN |
| 5335 | Dominica | DMA | 1980 | 53.241000 | NaN |
| 5599 | Dominica | DMA | 1981 | 52.207000 | NaN |
| 5863 | Dominica | DMA | 1982 | 50.476000 | NaN |
| 6127 | Dominica | DMA | 1983 | 48.743000 | NaN |
| 6391 | Dominica | DMA | 1984 | 47.010000 | NaN |
| 6655 | Dominica | DMA | 1985 | 45.290000 | NaN |
| 6919 | Dominica | DMA | 1986 | 43.578000 | NaN |
| 7183 | Dominica | DMA | 1987 | 41.882000 | NaN |
| 7447 | Dominica | DMA | 1988 | 40.202000 | NaN |
| 7711 | Dominica | DMA | 1989 | 38.550000 | NaN |
| 7975 | Dominica | DMA | 1990 | 36.921000 | 66.030434 |
| 8239 | Dominica | DMA | 1991 | 35.518000 | 67.546982 |
| 8503 | Dominica | DMA | 1992 | 35.431000 | 69.063026 |
| 8767 | Dominica | DMA | 1993 | 35.344000 | 70.576004 |
| 9031 | Dominica | DMA | 1994 | 35.256000 | 72.082863 |
| 9295 | Dominica | DMA | 1995 | 35.169000 | 73.580551 |
| 9559 | Dominica | DMA | 1996 | 35.082000 | 75.066002 |
| 9823 | Dominica | DMA | 1997 | 34.995000 | 76.536156 |
| 10087 | Dominica | DMA | 1998 | 34.908000 | 75.000000 |
| 10351 | Dominica | DMA | 1999 | 34.821000 | 79.418335 |
| 10615 | Dominica | DMA | 2000 | 34.735000 | 80.825768 |
| 10879 | Dominica | DMA | 2001 | 34.618000 | 82.214790 |
| 11143 | Dominica | DMA | 2002 | 34.311000 | 87.700000 |
| 11407 | Dominica | DMA | 2003 | 34.006000 | 84.961861 |
| 11671 | Dominica | DMA | 2004 | 33.701000 | 86.332031 |
| 11935 | Dominica | DMA | 2005 | 33.399000 | 87.708038 |
| 12199 | Dominica | DMA | 2006 | 33.097000 | 89.095963 |
| 12463 | Dominica | DMA | 2007 | 32.797000 | 90.501846 |
| 12727 | Dominica | DMA | 2008 | 32.498000 | 90.900000 |
| 12991 | Dominica | DMA | 2009 | 32.201000 | 93.379692 |
| 13255 | Dominica | DMA | 2010 | 31.906000 | 94.847153 |
| 13519 | Dominica | DMA | 2011 | 31.611000 | 96.329628 |
| 13783 | Dominica | DMA | 2012 | 31.319000 | 97.824120 |
| 14047 | Dominica | DMA | 2013 | 31.030000 | 98.855301 |
| 14311 | Dominica | DMA | 2014 | 30.744000 | 99.581078 |
| 14575 | Dominica | DMA | 2015 | 30.461000 | 99.902969 |
| 14839 | Dominica | DMA | 2016 | 30.180000 | 100.000000 |
| 15103 | Dominica | DMA | 2017 | 29.902000 | NaN |
| 57 | Dominican Republic | DOM | 1960 | 69.771000 | NaN |
| 321 | Dominican Republic | DOM | 1961 | 68.859000 | NaN |
| 585 | Dominican Republic | DOM | 1962 | 67.906000 | NaN |
| 849 | Dominican Republic | DOM | 1963 | 66.939000 | NaN |
| 1113 | Dominican Republic | DOM | 1964 | 65.956000 | NaN |
| 1377 | Dominican Republic | DOM | 1965 | 64.961000 | NaN |
| 1641 | Dominican Republic | DOM | 1966 | 63.952000 | NaN |
| 1905 | Dominican Republic | DOM | 1967 | 62.931000 | NaN |
| 2169 | Dominican Republic | DOM | 1968 | 61.896000 | NaN |
| 2433 | Dominican Republic | DOM | 1969 | 60.853000 | NaN |
| 2697 | Dominican Republic | DOM | 1970 | 59.791000 | NaN |
| 2961 | Dominican Republic | DOM | 1971 | 58.709000 | NaN |
| 3225 | Dominican Republic | DOM | 1972 | 57.618000 | NaN |
| 3489 | Dominican Republic | DOM | 1973 | 56.522000 | NaN |
| 3753 | Dominican Republic | DOM | 1974 | 55.418000 | NaN |
| 4017 | Dominican Republic | DOM | 1975 | 54.309000 | NaN |
| 4281 | Dominican Republic | DOM | 1976 | 53.193000 | NaN |
| 4545 | Dominican Republic | DOM | 1977 | 52.078000 | NaN |
| 4809 | Dominican Republic | DOM | 1978 | 50.959000 | NaN |
| 5073 | Dominican Republic | DOM | 1979 | 49.840000 | NaN |
| 5337 | Dominican Republic | DOM | 1980 | 48.719000 | NaN |
| 5601 | Dominican Republic | DOM | 1981 | 47.602000 | NaN |
| 5865 | Dominican Republic | DOM | 1982 | 46.950000 | NaN |
| 6129 | Dominican Republic | DOM | 1983 | 46.677000 | NaN |
| 6393 | Dominican Republic | DOM | 1984 | 46.404000 | NaN |
| 6657 | Dominican Republic | DOM | 1985 | 46.132000 | NaN |
| 6921 | Dominican Republic | DOM | 1986 | 45.860000 | NaN |
| 7185 | Dominican Republic | DOM | 1987 | 45.588000 | NaN |
| 7449 | Dominican Republic | DOM | 1988 | 45.316000 | NaN |
| 7713 | Dominican Republic | DOM | 1989 | 45.045000 | NaN |
| 7977 | Dominican Republic | DOM | 1990 | 44.774000 | 79.598694 |
| 8241 | Dominican Republic | DOM | 1991 | 44.503000 | 78.200000 |
| 8505 | Dominican Republic | DOM | 1992 | 44.233000 | 81.428474 |
| 8769 | Dominican Republic | DOM | 1993 | 43.963000 | 82.340057 |
| 9033 | Dominican Republic | DOM | 1994 | 43.249000 | 83.245514 |
| 9297 | Dominican Republic | DOM | 1995 | 42.404000 | 84.141800 |
| 9561 | Dominican Republic | DOM | 1996 | 41.563000 | 85.025841 |
| 9825 | Dominican Republic | DOM | 1997 | 40.728000 | 85.894592 |
| 10089 | Dominican Republic | DOM | 1998 | 39.898000 | 86.744987 |
| 10353 | Dominican Republic | DOM | 1999 | 39.074000 | 91.000000 |
| 10617 | Dominican Republic | DOM | 2000 | 38.254000 | 88.764932 |
| 10881 | Dominican Republic | DOM | 2001 | 37.444000 | 89.791362 |
| 11145 | Dominican Republic | DOM | 2002 | 36.639000 | 89.749814 |
| 11409 | Dominican Republic | DOM | 2003 | 35.404000 | 89.173808 |
| 11673 | Dominican Republic | DOM | 2004 | 34.005000 | 90.316567 |
| 11937 | Dominican Republic | DOM | 2005 | 32.636000 | 90.141224 |
| 12201 | Dominican Republic | DOM | 2006 | 31.295000 | 90.118148 |
| 12465 | Dominican Republic | DOM | 2007 | 29.984000 | 96.876342 |
| 12729 | Dominican Republic | DOM | 2008 | 28.703000 | 97.576197 |
| 12993 | Dominican Republic | DOM | 2009 | 27.459000 | 97.857760 |
| 13257 | Dominican Republic | DOM | 2010 | 26.248000 | 98.145414 |
| 13521 | Dominican Republic | DOM | 2011 | 25.071000 | 97.898872 |
| 13785 | Dominican Republic | DOM | 2012 | 23.961000 | 97.867050 |
| 14049 | Dominican Republic | DOM | 2013 | 22.918000 | 98.385853 |
| 14313 | Dominican Republic | DOM | 2014 | 21.939000 | 98.470979 |
| 14577 | Dominican Republic | DOM | 2015 | 21.020000 | 98.560364 |
| 14841 | Dominican Republic | DOM | 2016 | 20.159000 | 100.000000 |
| 15105 | Dominican Republic | DOM | 2017 | 19.353000 | NaN |
| 60 | Early-demographic dividend | EAR | 1960 | 77.049154 | NaN |
| 324 | Early-demographic dividend | EAR | 1961 | 76.750274 | NaN |
| 588 | Early-demographic dividend | EAR | 1962 | 76.415860 | NaN |
| 852 | Early-demographic dividend | EAR | 1963 | 76.078312 | NaN |
| 1116 | Early-demographic dividend | EAR | 1964 | 75.736084 | NaN |
| 1380 | Early-demographic dividend | EAR | 1965 | 75.392253 | NaN |
| 1644 | Early-demographic dividend | EAR | 1966 | 75.046219 | NaN |
| 1908 | Early-demographic dividend | EAR | 1967 | 74.696637 | NaN |
| 2172 | Early-demographic dividend | EAR | 1968 | 74.347290 | NaN |
| 2436 | Early-demographic dividend | EAR | 1969 | 73.992730 | NaN |
| 2700 | Early-demographic dividend | EAR | 1970 | 73.632068 | NaN |
| 2964 | Early-demographic dividend | EAR | 1971 | 73.249084 | NaN |
| 3228 | Early-demographic dividend | EAR | 1972 | 72.806596 | NaN |
| 3492 | Early-demographic dividend | EAR | 1973 | 72.356235 | NaN |
| 3756 | Early-demographic dividend | EAR | 1974 | 71.903319 | NaN |
| 4020 | Early-demographic dividend | EAR | 1975 | 71.588356 | NaN |
| 4284 | Early-demographic dividend | EAR | 1976 | 71.140486 | NaN |
| 4548 | Early-demographic dividend | EAR | 1977 | 70.693615 | NaN |
| 4812 | Early-demographic dividend | EAR | 1978 | 70.240574 | NaN |
| 5076 | Early-demographic dividend | EAR | 1979 | 69.784921 | NaN |
| 5340 | Early-demographic dividend | EAR | 1980 | 69.308311 | NaN |
| 5604 | Early-demographic dividend | EAR | 1981 | 68.817454 | NaN |
| 5868 | Early-demographic dividend | EAR | 1982 | 68.395208 | NaN |
| 6132 | Early-demographic dividend | EAR | 1983 | 67.970457 | NaN |
| 6396 | Early-demographic dividend | EAR | 1984 | 67.542837 | NaN |
| 6660 | Early-demographic dividend | EAR | 1985 | 67.111187 | NaN |
| 6924 | Early-demographic dividend | EAR | 1986 | 66.681497 | NaN |
| 7188 | Early-demographic dividend | EAR | 1987 | 66.265210 | NaN |
| 7452 | Early-demographic dividend | EAR | 1988 | 65.850799 | NaN |
| 7716 | Early-demographic dividend | EAR | 1989 | 65.438178 | NaN |
| 7980 | Early-demographic dividend | EAR | 1990 | 65.000520 | 53.079299 |
| 8244 | Early-demographic dividend | EAR | 1991 | 64.639041 | 53.120094 |
| 8508 | Early-demographic dividend | EAR | 1992 | 64.292931 | 55.652098 |
| 8772 | Early-demographic dividend | EAR | 1993 | 63.952061 | 57.106974 |
| 9036 | Early-demographic dividend | EAR | 1994 | 63.610984 | 57.700047 |
| 9300 | Early-demographic dividend | EAR | 1995 | 63.273508 | 59.210269 |
| 9564 | Early-demographic dividend | EAR | 1996 | 62.941518 | 60.826469 |
| 9828 | Early-demographic dividend | EAR | 1997 | 62.612549 | 62.589919 |
| 10092 | Early-demographic dividend | EAR | 1998 | 62.283330 | 63.856282 |
| 10356 | Early-demographic dividend | EAR | 1999 | 61.953809 | 66.353770 |
| 10620 | Early-demographic dividend | EAR | 2000 | 61.620336 | 66.815826 |
| 10884 | Early-demographic dividend | EAR | 2001 | 61.299315 | 65.511258 |
| 11148 | Early-demographic dividend | EAR | 2002 | 60.939025 | 68.991848 |
| 11412 | Early-demographic dividend | EAR | 2003 | 60.577829 | 70.148467 |
| 11676 | Early-demographic dividend | EAR | 2004 | 60.210101 | 71.044687 |
| 11940 | Early-demographic dividend | EAR | 2005 | 59.837342 | 72.463811 |
| 12204 | Early-demographic dividend | EAR | 2006 | 59.458199 | 74.011257 |
| 12468 | Early-demographic dividend | EAR | 2007 | 59.074862 | 75.268057 |
| 12732 | Early-demographic dividend | EAR | 2008 | 58.681933 | 76.513593 |
| 12996 | Early-demographic dividend | EAR | 2009 | 58.285320 | 78.682380 |
| 13260 | Early-demographic dividend | EAR | 2010 | 57.886866 | 79.455104 |
| 13524 | Early-demographic dividend | EAR | 2011 | 57.485640 | 76.450537 |
| 13788 | Early-demographic dividend | EAR | 2012 | 57.078545 | 82.264495 |
| 14052 | Early-demographic dividend | EAR | 2013 | 56.668472 | 82.585641 |
| 14316 | Early-demographic dividend | EAR | 2014 | 56.255210 | 83.534424 |
| 14580 | Early-demographic dividend | EAR | 2015 | 55.839478 | 86.972615 |
| 14844 | Early-demographic dividend | EAR | 2016 | 55.422316 | 86.751627 |
| 15108 | Early-demographic dividend | EAR | 2017 | 55.002658 | NaN |
| 61 | East Asia & Pacific | EAS | 1960 | 77.512403 | NaN |
| 325 | East Asia & Pacific | EAS | 1961 | 76.863212 | NaN |
| 589 | East Asia & Pacific | EAS | 1962 | 76.336665 | NaN |
| 853 | East Asia & Pacific | EAS | 1963 | 75.872488 | NaN |
| 1117 | East Asia & Pacific | EAS | 1964 | 75.397771 | NaN |
| 1381 | East Asia & Pacific | EAS | 1965 | 75.405964 | NaN |
| 1645 | East Asia & Pacific | EAS | 1966 | 75.416096 | NaN |
| 1909 | East Asia & Pacific | EAS | 1967 | 75.373937 | NaN |
| 2173 | East Asia & Pacific | EAS | 1968 | 75.339139 | NaN |
| 2437 | East Asia & Pacific | EAS | 1969 | 75.235250 | NaN |
| 2701 | East Asia & Pacific | EAS | 1970 | 75.162985 | NaN |
| 2965 | East Asia & Pacific | EAS | 1971 | 75.083224 | NaN |
| 3229 | East Asia & Pacific | EAS | 1972 | 74.985752 | NaN |
| 3493 | East Asia & Pacific | EAS | 1973 | 74.829195 | NaN |
| 3757 | East Asia & Pacific | EAS | 1974 | 74.547968 | NaN |
| 4021 | East Asia & Pacific | EAS | 1975 | 74.424837 | NaN |
| 4285 | East Asia & Pacific | EAS | 1976 | 74.265885 | NaN |
| 4549 | East Asia & Pacific | EAS | 1977 | 74.098131 | NaN |
| 4813 | East Asia & Pacific | EAS | 1978 | 73.723288 | NaN |
| 5077 | East Asia & Pacific | EAS | 1979 | 73.127764 | NaN |
| 5341 | East Asia & Pacific | EAS | 1980 | 72.504420 | NaN |
| 5605 | East Asia & Pacific | EAS | 1981 | 71.848968 | NaN |
| 5869 | East Asia & Pacific | EAS | 1982 | 71.194419 | NaN |
| 6133 | East Asia & Pacific | EAS | 1983 | 70.631952 | NaN |
| 6397 | East Asia & Pacific | EAS | 1984 | 70.055168 | NaN |
| 6661 | East Asia & Pacific | EAS | 1985 | 69.473469 | NaN |
| 6925 | East Asia & Pacific | EAS | 1986 | 68.873428 | NaN |
| 7189 | East Asia & Pacific | EAS | 1987 | 68.260224 | NaN |
| 7453 | East Asia & Pacific | EAS | 1988 | 67.640115 | NaN |
| 7717 | East Asia & Pacific | EAS | 1989 | 67.006088 | NaN |
| 7981 | East Asia & Pacific | EAS | 1990 | 66.361439 | 84.115409 |
| 8245 | East Asia & Pacific | EAS | 1991 | 65.669734 | 83.191460 |
| 8509 | East Asia & Pacific | EAS | 1992 | 64.959018 | 85.269597 |
| 8773 | East Asia & Pacific | EAS | 1993 | 64.232221 | 84.669977 |
| 9037 | East Asia & Pacific | EAS | 1994 | 63.485851 | 85.844564 |
| 9301 | East Asia & Pacific | EAS | 1995 | 62.724589 | 86.998801 |
| 9565 | East Asia & Pacific | EAS | 1996 | 61.952843 | 87.990436 |
| 9829 | East Asia & Pacific | EAS | 1997 | 61.184030 | 89.033113 |
| 10093 | East Asia & Pacific | EAS | 1998 | 60.401548 | 89.702336 |
| 10357 | East Asia & Pacific | EAS | 1999 | 59.609137 | 90.305226 |
| 10621 | East Asia & Pacific | EAS | 2000 | 58.789356 | 90.786894 |
| 10885 | East Asia & Pacific | EAS | 2001 | 57.789664 | 91.287776 |
| 11149 | East Asia & Pacific | EAS | 2002 | 56.699677 | 91.812590 |
| 11413 | East Asia & Pacific | EAS | 2003 | 55.608664 | 92.105688 |
| 11677 | East Asia & Pacific | EAS | 2004 | 54.514411 | 92.572931 |
| 11941 | East Asia & Pacific | EAS | 2005 | 53.422665 | 92.762518 |
| 12205 | East Asia & Pacific | EAS | 2006 | 52.364107 | 93.732863 |
| 12469 | East Asia & Pacific | EAS | 2007 | 51.324799 | 93.869988 |
| 12733 | East Asia & Pacific | EAS | 2008 | 50.277681 | 94.469201 |
| 12997 | East Asia & Pacific | EAS | 2009 | 49.241366 | 94.988562 |
| 13261 | East Asia & Pacific | EAS | 2010 | 48.208773 | 95.496184 |
| 13525 | East Asia & Pacific | EAS | 2011 | 47.185525 | 95.818281 |
| 13789 | East Asia & Pacific | EAS | 2012 | 46.187990 | 96.226298 |
| 14053 | East Asia & Pacific | EAS | 2013 | 45.222282 | 96.446029 |
| 14317 | East Asia & Pacific | EAS | 2014 | 44.284411 | 96.589787 |
| 14581 | East Asia & Pacific | EAS | 2015 | 43.375096 | 96.872659 |
| 14845 | East Asia & Pacific | EAS | 2016 | 42.495860 | 96.914241 |
| 15109 | East Asia & Pacific | EAS | 2017 | 41.646571 | NaN |
| 228 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1960 | 83.381155 | NaN |
| 492 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1961 | 82.921711 | NaN |
| 756 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1962 | 82.458808 | NaN |
| 1020 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1963 | 81.990189 | NaN |
| 1284 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1964 | 81.513852 | NaN |
| 1548 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1965 | 81.598510 | NaN |
| 1812 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1966 | 81.652049 | NaN |
| 2076 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1967 | 81.666401 | NaN |
| 2340 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1968 | 81.678839 | NaN |
| 2604 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1969 | 81.689732 | NaN |
| 2868 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1970 | 81.694588 | NaN |
| 3132 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1971 | 81.668257 | NaN |
| 3396 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1972 | 81.621044 | NaN |
| 3660 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1973 | 81.485383 | NaN |
| 3924 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1974 | 81.270500 | NaN |
| 4188 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1975 | 81.224849 | NaN |
| 4452 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1976 | 81.058636 | NaN |
| 4716 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1977 | 80.886974 | NaN |
| 4980 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1978 | 80.476298 | NaN |
| 5244 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1979 | 79.817452 | NaN |
| 5508 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1980 | 79.123997 | NaN |
| 5772 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1981 | 78.401442 | NaN |
| 6036 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1982 | 77.668373 | NaN |
| 6300 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1983 | 77.036085 | NaN |
| 6564 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1984 | 76.388426 | NaN |
| 6828 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1985 | 75.729095 | NaN |
| 7092 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1986 | 75.057318 | NaN |
| 7356 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1987 | 74.372635 | NaN |
| 7620 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1988 | 73.674276 | NaN |
| 7884 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1989 | 72.962367 | NaN |
| 8148 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1990 | 72.237099 | 83.657247 |
| 8412 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1991 | 71.452098 | 82.647098 |
| 8676 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1992 | 70.641688 | 84.964284 |
| 8940 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1993 | 69.817240 | 84.309025 |
| 9204 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1994 | 68.977402 | 85.610072 |
| 9468 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1995 | 68.124055 | 86.523621 |
| 9732 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1996 | 67.254528 | 87.630206 |
| 9996 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1997 | 66.375034 | 88.794020 |
| 10260 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1998 | 65.481730 | 89.533626 |
| 10524 | East Asia & Pacific (IDA & IBRD countries) | TEA | 1999 | 64.576401 | 90.198278 |
| 10788 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2000 | 63.646767 | 90.725043 |
| 11052 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2001 | 62.608054 | 91.272740 |
| 11316 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2002 | 61.487670 | 91.847949 |
| 11580 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2003 | 60.354829 | 92.161958 |
| 11844 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2004 | 59.210593 | 92.672039 |
| 12108 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2005 | 58.060796 | 92.868268 |
| 12372 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2006 | 56.934261 | 93.941588 |
| 12636 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2007 | 55.819411 | 94.075557 |
| 12900 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2008 | 54.699541 | 94.727757 |
| 13164 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2009 | 53.581388 | 95.300036 |
| 13428 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2010 | 52.462423 | 95.839352 |
| 13692 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2011 | 51.347149 | 96.179651 |
| 13956 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2012 | 50.257903 | 96.616008 |
| 14220 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2013 | 49.198580 | 96.840577 |
| 14484 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2014 | 48.168649 | 96.979381 |
| 14748 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2015 | 47.168555 | 97.274193 |
| 15012 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2016 | 46.198976 | 97.298030 |
| 15276 | East Asia & Pacific (IDA & IBRD countries) | TEA | 2017 | 45.259080 | NaN |
| 59 | East Asia & Pacific (excluding high income) | EAP | 1960 | 83.079190 | NaN |
| 323 | East Asia & Pacific (excluding high income) | EAP | 1961 | 82.606592 | NaN |
| 587 | East Asia & Pacific (excluding high income) | EAP | 1962 | 82.135626 | NaN |
| 851 | East Asia & Pacific (excluding high income) | EAP | 1963 | 81.663272 | NaN |
| 1115 | East Asia & Pacific (excluding high income) | EAP | 1964 | 81.182443 | NaN |
| 1379 | East Asia & Pacific (excluding high income) | EAP | 1965 | 81.254387 | NaN |
| 1643 | East Asia & Pacific (excluding high income) | EAP | 1966 | 81.295421 | NaN |
| 1907 | East Asia & Pacific (excluding high income) | EAP | 1967 | 81.296295 | NaN |
| 2171 | East Asia & Pacific (excluding high income) | EAP | 1968 | 81.282762 | NaN |
| 2435 | East Asia & Pacific (excluding high income) | EAP | 1969 | 81.259311 | NaN |
| 2699 | East Asia & Pacific (excluding high income) | EAP | 1970 | 81.230294 | NaN |
| 2963 | East Asia & Pacific (excluding high income) | EAP | 1971 | 81.197747 | NaN |
| 3227 | East Asia & Pacific (excluding high income) | EAP | 1972 | 81.143915 | NaN |
| 3491 | East Asia & Pacific (excluding high income) | EAP | 1973 | 81.002850 | NaN |
| 3755 | East Asia & Pacific (excluding high income) | EAP | 1974 | 80.783827 | NaN |
| 4019 | East Asia & Pacific (excluding high income) | EAP | 1975 | 80.731996 | NaN |
| 4283 | East Asia & Pacific (excluding high income) | EAP | 1976 | 80.567664 | NaN |
| 4547 | East Asia & Pacific (excluding high income) | EAP | 1977 | 80.398447 | NaN |
| 4811 | East Asia & Pacific (excluding high income) | EAP | 1978 | 79.993901 | NaN |
| 5075 | East Asia & Pacific (excluding high income) | EAP | 1979 | 79.344416 | NaN |
| 5339 | East Asia & Pacific (excluding high income) | EAP | 1980 | 78.660116 | NaN |
| 5603 | East Asia & Pacific (excluding high income) | EAP | 1981 | 77.945298 | NaN |
| 5867 | East Asia & Pacific (excluding high income) | EAP | 1982 | 77.220376 | NaN |
| 6131 | East Asia & Pacific (excluding high income) | EAP | 1983 | 76.594653 | NaN |
| 6395 | East Asia & Pacific (excluding high income) | EAP | 1984 | 75.953346 | NaN |
| 6659 | East Asia & Pacific (excluding high income) | EAP | 1985 | 75.300831 | NaN |
| 6923 | East Asia & Pacific (excluding high income) | EAP | 1986 | 74.636616 | NaN |
| 7187 | East Asia & Pacific (excluding high income) | EAP | 1987 | 73.960095 | NaN |
| 7451 | East Asia & Pacific (excluding high income) | EAP | 1988 | 73.270040 | NaN |
| 7715 | East Asia & Pacific (excluding high income) | EAP | 1989 | 72.566177 | NaN |
| 7979 | East Asia & Pacific (excluding high income) | EAP | 1990 | 71.848656 | 82.599168 |
| 8243 | East Asia & Pacific (excluding high income) | EAP | 1991 | 71.071579 | 81.601684 |
| 8507 | East Asia & Pacific (excluding high income) | EAP | 1992 | 70.268854 | 83.889376 |
| 8771 | East Asia & Pacific (excluding high income) | EAP | 1993 | 69.452148 | 83.245984 |
| 9035 | East Asia & Pacific (excluding high income) | EAP | 1994 | 68.620975 | 84.535895 |
| 9299 | East Asia & Pacific (excluding high income) | EAP | 1995 | 67.777290 | 85.459954 |
| 9563 | East Asia & Pacific (excluding high income) | EAP | 1996 | 66.918062 | 86.575789 |
| 9827 | East Asia & Pacific (excluding high income) | EAP | 1997 | 66.049349 | 87.749109 |
| 10091 | East Asia & Pacific (excluding high income) | EAP | 1998 | 65.167100 | 88.503778 |
| 10355 | East Asia & Pacific (excluding high income) | EAP | 1999 | 64.272815 | 89.183720 |
| 10619 | East Asia & Pacific (excluding high income) | EAP | 2000 | 63.354317 | 89.726482 |
| 10883 | East Asia & Pacific (excluding high income) | EAP | 2001 | 62.327918 | 90.288954 |
| 11147 | East Asia & Pacific (excluding high income) | EAP | 2002 | 61.220733 | 90.877933 |
| 11411 | East Asia & Pacific (excluding high income) | EAP | 2003 | 60.101208 | 91.208719 |
| 11675 | East Asia & Pacific (excluding high income) | EAP | 2004 | 58.970485 | 91.733329 |
| 11939 | East Asia & Pacific (excluding high income) | EAP | 2005 | 57.834425 | 91.948672 |
| 12203 | East Asia & Pacific (excluding high income) | EAP | 2006 | 56.721410 | 93.030640 |
| 12467 | East Asia & Pacific (excluding high income) | EAP | 2007 | 55.619981 | 93.185548 |
| 12731 | East Asia & Pacific (excluding high income) | EAP | 2008 | 54.513619 | 93.852707 |
| 12995 | East Asia & Pacific (excluding high income) | EAP | 2009 | 53.408916 | 94.431627 |
| 13259 | East Asia & Pacific (excluding high income) | EAP | 2010 | 52.303169 | 94.997330 |
| 13523 | East Asia & Pacific (excluding high income) | EAP | 2011 | 51.200830 | 95.356989 |
| 13787 | East Asia & Pacific (excluding high income) | EAP | 2012 | 50.123978 | 95.811662 |
| 14051 | East Asia & Pacific (excluding high income) | EAP | 2013 | 49.076469 | 96.057242 |
| 14315 | East Asia & Pacific (excluding high income) | EAP | 2014 | 48.057791 | 96.218203 |
| 14579 | East Asia & Pacific (excluding high income) | EAP | 2015 | 47.068363 | 96.533238 |
| 14843 | East Asia & Pacific (excluding high income) | EAP | 2016 | 46.108891 | 96.580732 |
| 15107 | East Asia & Pacific (excluding high income) | EAP | 2017 | 45.178524 | NaN |
| 64 | Ecuador | ECU | 1960 | 66.122000 | NaN |
| 328 | Ecuador | ECU | 1961 | 65.534000 | NaN |
| 592 | Ecuador | ECU | 1962 | 64.940000 | NaN |
| 856 | Ecuador | ECU | 1963 | 64.394000 | NaN |
| 1120 | Ecuador | ECU | 1964 | 63.878000 | NaN |
| 1384 | Ecuador | ECU | 1965 | 63.360000 | NaN |
| 1648 | Ecuador | ECU | 1966 | 62.838000 | NaN |
| 1912 | Ecuador | ECU | 1967 | 62.314000 | NaN |
| 2176 | Ecuador | ECU | 1968 | 61.785000 | NaN |
| 2440 | Ecuador | ECU | 1969 | 61.256000 | NaN |
| 2704 | Ecuador | ECU | 1970 | 60.722000 | NaN |
| 2968 | Ecuador | ECU | 1971 | 60.187000 | NaN |
| 3232 | Ecuador | ECU | 1972 | 59.648000 | NaN |
| 3496 | Ecuador | ECU | 1973 | 59.108000 | NaN |
| 3760 | Ecuador | ECU | 1974 | 58.543000 | NaN |
| 4024 | Ecuador | ECU | 1975 | 57.637000 | NaN |
| 4288 | Ecuador | ECU | 1976 | 56.724000 | NaN |
| 4552 | Ecuador | ECU | 1977 | 55.809000 | NaN |
| 4816 | Ecuador | ECU | 1978 | 54.889000 | NaN |
| 5080 | Ecuador | ECU | 1979 | 53.966000 | NaN |
| 5344 | Ecuador | ECU | 1980 | 53.039000 | NaN |
| 5608 | Ecuador | ECU | 1981 | 52.112000 | NaN |
| 5872 | Ecuador | ECU | 1982 | 51.182000 | NaN |
| 6136 | Ecuador | ECU | 1983 | 50.342000 | NaN |
| 6400 | Ecuador | ECU | 1984 | 49.562000 | NaN |
| 6664 | Ecuador | ECU | 1985 | 48.785000 | NaN |
| 6928 | Ecuador | ECU | 1986 | 48.007000 | NaN |
| 7192 | Ecuador | ECU | 1987 | 47.231000 | NaN |
| 7456 | Ecuador | ECU | 1988 | 46.454000 | NaN |
| 7720 | Ecuador | ECU | 1989 | 45.682000 | NaN |
| 7984 | Ecuador | ECU | 1990 | 44.910000 | 88.941750 |
| 8248 | Ecuador | ECU | 1991 | 44.291000 | 89.426102 |
| 8512 | Ecuador | ECU | 1992 | 43.774000 | 89.909943 |
| 8776 | Ecuador | ECU | 1993 | 43.260000 | 90.390724 |
| 9040 | Ecuador | ECU | 1994 | 42.746000 | 90.865387 |
| 9304 | Ecuador | ECU | 1995 | 42.234000 | 89.830167 |
| 9568 | Ecuador | ECU | 1996 | 41.723000 | 91.784119 |
| 9832 | Ecuador | ECU | 1997 | 41.215000 | 92.222076 |
| 10096 | Ecuador | ECU | 1998 | 40.709000 | 92.726642 |
| 10360 | Ecuador | ECU | 1999 | 40.204000 | 93.071434 |
| 10624 | Ecuador | ECU | 2000 | 39.701000 | 93.415092 |
| 10888 | Ecuador | ECU | 2001 | 39.201000 | 93.771912 |
| 11152 | Ecuador | ECU | 2002 | 38.882000 | 94.116394 |
| 11416 | Ecuador | ECU | 2003 | 38.684000 | 94.973044 |
| 11680 | Ecuador | ECU | 2004 | 38.486000 | 94.792557 |
| 11944 | Ecuador | ECU | 2005 | 38.289000 | 95.832650 |
| 12208 | Ecuador | ECU | 2006 | 38.093000 | 96.315259 |
| 12472 | Ecuador | ECU | 2007 | 37.896000 | 96.812618 |
| 12736 | Ecuador | ECU | 2008 | 37.700000 | 97.206576 |
| 13000 | Ecuador | ECU | 2009 | 37.505000 | 96.470862 |
| 13264 | Ecuador | ECU | 2010 | 37.310000 | 97.462142 |
| 13528 | Ecuador | ECU | 2011 | 37.115000 | 96.872699 |
| 13792 | Ecuador | ECU | 2012 | 36.912000 | 97.194929 |
| 14056 | Ecuador | ECU | 2013 | 36.702000 | 98.034674 |
| 14320 | Ecuador | ECU | 2014 | 36.484000 | 98.976067 |
| 14584 | Ecuador | ECU | 2015 | 36.258000 | 98.825883 |
| 14848 | Ecuador | ECU | 2016 | 36.024000 | 99.936813 |
| 15112 | Ecuador | ECU | 2017 | 35.784000 | NaN |
| 65 | Egypt, Arab Rep. | EGY | 1960 | 62.136000 | NaN |
| 329 | Egypt, Arab Rep. | EGY | 1961 | 61.728000 | NaN |
| 593 | Egypt, Arab Rep. | EGY | 1962 | 61.376000 | NaN |
| 857 | Egypt, Arab Rep. | EGY | 1963 | 61.023000 | NaN |
| 1121 | Egypt, Arab Rep. | EGY | 1964 | 60.669000 | NaN |
| 1385 | Egypt, Arab Rep. | EGY | 1965 | 60.314000 | NaN |
| 1649 | Egypt, Arab Rep. | EGY | 1966 | 59.958000 | NaN |
| 1913 | Egypt, Arab Rep. | EGY | 1967 | 59.601000 | NaN |
| 2177 | Egypt, Arab Rep. | EGY | 1968 | 59.242000 | NaN |
| 2441 | Egypt, Arab Rep. | EGY | 1969 | 58.883000 | NaN |
| 2705 | Egypt, Arab Rep. | EGY | 1970 | 58.523000 | NaN |
| 2969 | Egypt, Arab Rep. | EGY | 1971 | 58.162000 | NaN |
| 3233 | Egypt, Arab Rep. | EGY | 1972 | 57.800000 | NaN |
| 3497 | Egypt, Arab Rep. | EGY | 1973 | 57.437000 | NaN |
| 3761 | Egypt, Arab Rep. | EGY | 1974 | 57.074000 | NaN |
| 4025 | Egypt, Arab Rep. | EGY | 1975 | 56.709000 | NaN |
| 4289 | Egypt, Arab Rep. | EGY | 1976 | 56.344000 | NaN |
| 4553 | Egypt, Arab Rep. | EGY | 1977 | 56.190000 | NaN |
| 4817 | Egypt, Arab Rep. | EGY | 1978 | 56.174000 | NaN |
| 5081 | Egypt, Arab Rep. | EGY | 1979 | 56.158000 | NaN |
| 5345 | Egypt, Arab Rep. | EGY | 1980 | 56.142000 | NaN |
| 5609 | Egypt, Arab Rep. | EGY | 1981 | 56.126000 | NaN |
| 5873 | Egypt, Arab Rep. | EGY | 1982 | 56.110000 | NaN |
| 6137 | Egypt, Arab Rep. | EGY | 1983 | 56.094000 | NaN |
| 6401 | Egypt, Arab Rep. | EGY | 1984 | 56.078000 | NaN |
| 6665 | Egypt, Arab Rep. | EGY | 1985 | 56.062000 | NaN |
| 6929 | Egypt, Arab Rep. | EGY | 1986 | 56.046000 | NaN |
| 7193 | Egypt, Arab Rep. | EGY | 1987 | 56.123000 | NaN |
| 7457 | Egypt, Arab Rep. | EGY | 1988 | 56.256000 | NaN |
| 7721 | Egypt, Arab Rep. | EGY | 1989 | 56.389000 | NaN |
| 7985 | Egypt, Arab Rep. | EGY | 1990 | 56.522000 | 93.956467 |
| 8249 | Egypt, Arab Rep. | EGY | 1991 | 56.655000 | 94.318649 |
| 8513 | Egypt, Arab Rep. | EGY | 1992 | 56.788000 | 93.400000 |
| 8777 | Egypt, Arab Rep. | EGY | 1993 | 56.921000 | 95.038940 |
| 9041 | Egypt, Arab Rep. | EGY | 1994 | 57.054000 | 95.391441 |
| 9305 | Egypt, Arab Rep. | EGY | 1995 | 57.186000 | 95.500000 |
| 9569 | Egypt, Arab Rep. | EGY | 1996 | 57.319000 | 96.065849 |
| 9833 | Egypt, Arab Rep. | EGY | 1997 | 57.342000 | 96.381638 |
| 10097 | Egypt, Arab Rep. | EGY | 1998 | 57.296000 | 96.679070 |
| 10361 | Egypt, Arab Rep. | EGY | 1999 | 57.250000 | 96.955093 |
| 10625 | Egypt, Arab Rep. | EGY | 2000 | 57.203000 | 97.700000 |
| 10889 | Egypt, Arab Rep. | EGY | 2001 | 57.157000 | 97.442825 |
| 11153 | Egypt, Arab Rep. | EGY | 2002 | 57.111000 | 97.665131 |
| 11417 | Egypt, Arab Rep. | EGY | 2003 | 57.065000 | 98.800000 |
| 11681 | Egypt, Arab Rep. | EGY | 2004 | 57.019000 | 98.101349 |
| 11945 | Egypt, Arab Rep. | EGY | 2005 | 56.973000 | 99.400000 |
| 12209 | Egypt, Arab Rep. | EGY | 2006 | 56.927000 | 99.040000 |
| 12473 | Egypt, Arab Rep. | EGY | 2007 | 56.922000 | 98.819595 |
| 12737 | Egypt, Arab Rep. | EGY | 2008 | 56.942000 | 99.800000 |
| 13001 | Egypt, Arab Rep. | EGY | 2009 | 56.961000 | 99.379463 |
| 13265 | Egypt, Arab Rep. | EGY | 2010 | 56.981000 | 99.649696 |
| 13529 | Egypt, Arab Rep. | EGY | 2011 | 57.000000 | 99.853172 |
| 13793 | Egypt, Arab Rep. | EGY | 2012 | 56.998000 | 99.700000 |
| 14057 | Egypt, Arab Rep. | EGY | 2013 | 56.975000 | 99.995094 |
| 14321 | Egypt, Arab Rep. | EGY | 2014 | 56.931000 | 99.800000 |
| 14585 | Egypt, Arab Rep. | EGY | 2015 | 56.865000 | 100.000000 |
| 14849 | Egypt, Arab Rep. | EGY | 2016 | 56.778000 | 100.000000 |
| 15113 | Egypt, Arab Rep. | EGY | 2017 | 56.670000 | NaN |
| 209 | El Salvador | SLV | 1960 | 61.655000 | NaN |
| 473 | El Salvador | SLV | 1961 | 61.484000 | NaN |
| 737 | El Salvador | SLV | 1962 | 61.386000 | NaN |
| 1001 | El Salvador | SLV | 1963 | 61.288000 | NaN |
| 1265 | El Salvador | SLV | 1964 | 61.189000 | NaN |
| 1529 | El Salvador | SLV | 1965 | 61.091000 | NaN |
| 1793 | El Salvador | SLV | 1966 | 60.993000 | NaN |
| 2057 | El Salvador | SLV | 1967 | 60.894000 | NaN |
| 2321 | El Salvador | SLV | 1968 | 60.795000 | NaN |
| 2585 | El Salvador | SLV | 1969 | 60.697000 | NaN |
| 2849 | El Salvador | SLV | 1970 | 60.598000 | NaN |
| 3113 | El Salvador | SLV | 1971 | 60.496000 | NaN |
| 3377 | El Salvador | SLV | 1972 | 59.997000 | NaN |
| 3641 | El Salvador | SLV | 1973 | 59.497000 | NaN |
| 3905 | El Salvador | SLV | 1974 | 58.994000 | NaN |
| 4169 | El Salvador | SLV | 1975 | 58.490000 | NaN |
| 4433 | El Salvador | SLV | 1976 | 57.983000 | NaN |
| 4697 | El Salvador | SLV | 1977 | 57.475000 | NaN |
| 4961 | El Salvador | SLV | 1978 | 56.966000 | NaN |
| 5225 | El Salvador | SLV | 1979 | 56.455000 | NaN |
| 5489 | El Salvador | SLV | 1980 | 55.942000 | NaN |
| 5753 | El Salvador | SLV | 1981 | 55.429000 | NaN |
| 6017 | El Salvador | SLV | 1982 | 54.914000 | NaN |
| 6281 | El Salvador | SLV | 1983 | 54.398000 | NaN |
| 6545 | El Salvador | SLV | 1984 | 53.881000 | NaN |
| 6809 | El Salvador | SLV | 1985 | 53.364000 | NaN |
| 7073 | El Salvador | SLV | 1986 | 52.845000 | NaN |
| 7337 | El Salvador | SLV | 1987 | 52.326000 | NaN |
| 7601 | El Salvador | SLV | 1988 | 51.806000 | NaN |
| 7865 | El Salvador | SLV | 1989 | 51.287000 | NaN |
| 8129 | El Salvador | SLV | 1990 | 50.767000 | 72.463463 |
| 8393 | El Salvador | SLV | 1991 | 50.246000 | 69.607880 |
| 8657 | El Salvador | SLV | 1992 | 49.725000 | 74.597839 |
| 8921 | El Salvador | SLV | 1993 | 48.618000 | 75.661705 |
| 9185 | El Salvador | SLV | 1994 | 47.323000 | 76.719460 |
| 9449 | El Salvador | SLV | 1995 | 46.033000 | 76.995504 |
| 9713 | El Salvador | SLV | 1996 | 44.746000 | 77.883000 |
| 9977 | El Salvador | SLV | 1997 | 43.470000 | 79.825424 |
| 10241 | El Salvador | SLV | 1998 | 42.200000 | 81.637983 |
| 10505 | El Salvador | SLV | 1999 | 41.643000 | 79.129592 |
| 10769 | El Salvador | SLV | 2000 | 41.088000 | 84.519249 |
| 11033 | El Salvador | SLV | 2001 | 40.536000 | 87.063829 |
| 11297 | El Salvador | SLV | 2002 | 39.986000 | 87.549060 |
| 11561 | El Salvador | SLV | 2003 | 39.439000 | 86.961151 |
| 11825 | El Salvador | SLV | 2004 | 38.893000 | 87.357045 |
| 12089 | El Salvador | SLV | 2005 | 38.352000 | 87.525839 |
| 12353 | El Salvador | SLV | 2006 | 37.813000 | 89.201467 |
| 12617 | El Salvador | SLV | 2007 | 37.277000 | 91.109558 |
| 12881 | El Salvador | SLV | 2008 | 36.748000 | 91.000227 |
| 13145 | El Salvador | SLV | 2009 | 36.227000 | 91.084020 |
| 13409 | El Salvador | SLV | 2010 | 35.714000 | 91.580238 |
| 13673 | El Salvador | SLV | 2011 | 35.210000 | 92.574686 |
| 13937 | El Salvador | SLV | 2012 | 34.713000 | 93.680571 |
| 14201 | El Salvador | SLV | 2013 | 34.225000 | 95.043105 |
| 14465 | El Salvador | SLV | 2014 | 33.745000 | 95.125416 |
| 14729 | El Salvador | SLV | 2015 | 33.274000 | 95.400000 |
| 14993 | El Salvador | SLV | 2016 | 32.811000 | 98.618896 |
| 15257 | El Salvador | SLV | 2017 | 32.357000 | NaN |
| 86 | Equatorial Guinea | GNQ | 1960 | 74.463000 | NaN |
| 350 | Equatorial Guinea | GNQ | 1961 | 73.856000 | NaN |
| 614 | Equatorial Guinea | GNQ | 1962 | 73.766000 | NaN |
| 878 | Equatorial Guinea | GNQ | 1963 | 73.677000 | NaN |
| 1142 | Equatorial Guinea | GNQ | 1964 | 73.587000 | NaN |
| 1406 | Equatorial Guinea | GNQ | 1965 | 73.498000 | NaN |
| 1670 | Equatorial Guinea | GNQ | 1966 | 73.408000 | NaN |
| 1934 | Equatorial Guinea | GNQ | 1967 | 73.318000 | NaN |
| 2198 | Equatorial Guinea | GNQ | 1968 | 73.227000 | NaN |
| 2462 | Equatorial Guinea | GNQ | 1969 | 73.137000 | NaN |
| 2726 | Equatorial Guinea | GNQ | 1970 | 73.046000 | NaN |
| 2990 | Equatorial Guinea | GNQ | 1971 | 72.955000 | NaN |
| 3254 | Equatorial Guinea | GNQ | 1972 | 72.864000 | NaN |
| 3518 | Equatorial Guinea | GNQ | 1973 | 72.773000 | NaN |
| 3782 | Equatorial Guinea | GNQ | 1974 | 72.681000 | NaN |
| 4046 | Equatorial Guinea | GNQ | 1975 | 72.590000 | NaN |
| 4310 | Equatorial Guinea | GNQ | 1976 | 72.498000 | NaN |
| 4574 | Equatorial Guinea | GNQ | 1977 | 72.406000 | NaN |
| 4838 | Equatorial Guinea | GNQ | 1978 | 72.313000 | NaN |
| 5102 | Equatorial Guinea | GNQ | 1979 | 72.221000 | NaN |
| 5366 | Equatorial Guinea | GNQ | 1980 | 72.128000 | NaN |
| 5630 | Equatorial Guinea | GNQ | 1981 | 72.035000 | NaN |
| 5894 | Equatorial Guinea | GNQ | 1982 | 71.942000 | NaN |
| 6158 | Equatorial Guinea | GNQ | 1983 | 71.849000 | NaN |
| 6422 | Equatorial Guinea | GNQ | 1984 | 70.972000 | NaN |
| 6686 | Equatorial Guinea | GNQ | 1985 | 70.060000 | NaN |
| 6950 | Equatorial Guinea | GNQ | 1986 | 69.129000 | NaN |
| 7214 | Equatorial Guinea | GNQ | 1987 | 68.183000 | NaN |
| 7478 | Equatorial Guinea | GNQ | 1988 | 67.220000 | NaN |
| 7742 | Equatorial Guinea | GNQ | 1989 | 66.245000 | NaN |
| 8006 | Equatorial Guinea | GNQ | 1990 | 65.255000 | 58.591442 |
| 8270 | Equatorial Guinea | GNQ | 1991 | 64.252000 | 59.010517 |
| 8534 | Equatorial Guinea | GNQ | 1992 | 63.234000 | 59.429077 |
| 8798 | Equatorial Guinea | GNQ | 1993 | 62.208000 | 59.844582 |
| 9062 | Equatorial Guinea | GNQ | 1994 | 61.169000 | 60.253967 |
| 9326 | Equatorial Guinea | GNQ | 1995 | 61.166000 | 60.654175 |
| 9590 | Equatorial Guinea | GNQ | 1996 | 61.171000 | 61.042149 |
| 9854 | Equatorial Guinea | GNQ | 1997 | 61.177000 | 61.414822 |
| 10118 | Equatorial Guinea | GNQ | 1998 | 61.183000 | 61.769146 |
| 10382 | Equatorial Guinea | GNQ | 1999 | 61.189000 | 62.102051 |
| 10646 | Equatorial Guinea | GNQ | 2000 | 61.194000 | 62.412006 |
| 10910 | Equatorial Guinea | GNQ | 2001 | 61.200000 | 62.703552 |
| 11174 | Equatorial Guinea | GNQ | 2002 | 61.206000 | 62.982750 |
| 11438 | Equatorial Guinea | GNQ | 2003 | 61.198000 | 63.255665 |
| 11702 | Equatorial Guinea | GNQ | 2004 | 61.178000 | 63.528362 |
| 11966 | Equatorial Guinea | GNQ | 2005 | 61.144000 | 63.806896 |
| 12230 | Equatorial Guinea | GNQ | 2006 | 61.097000 | 64.097336 |
| 12494 | Equatorial Guinea | GNQ | 2007 | 61.037000 | 64.405746 |
| 12758 | Equatorial Guinea | GNQ | 2008 | 60.963000 | 64.736679 |
| 13022 | Equatorial Guinea | GNQ | 2009 | 60.877000 | 65.088638 |
| 13286 | Equatorial Guinea | GNQ | 2010 | 60.777000 | 65.458618 |
| 13550 | Equatorial Guinea | GNQ | 2011 | 60.663000 | 66.100000 |
| 13814 | Equatorial Guinea | GNQ | 2012 | 60.537000 | 66.240639 |
| 14078 | Equatorial Guinea | GNQ | 2013 | 60.397000 | 66.646667 |
| 14342 | Equatorial Guinea | GNQ | 2014 | 60.244000 | 67.058708 |
| 14606 | Equatorial Guinea | GNQ | 2015 | 60.077000 | 67.473747 |
| 14870 | Equatorial Guinea | GNQ | 2016 | 59.897000 | 67.889290 |
| 15134 | Equatorial Guinea | GNQ | 2017 | 59.704000 | NaN |
| 67 | Eritrea | ERI | 1960 | 90.249000 | NaN |
| 331 | Eritrea | ERI | 1961 | 89.941000 | NaN |
| 595 | Eritrea | ERI | 1962 | 89.623000 | NaN |
| 859 | Eritrea | ERI | 1963 | 89.297000 | NaN |
| 1123 | Eritrea | ERI | 1964 | 88.961000 | NaN |
| 1387 | Eritrea | ERI | 1965 | 88.617000 | NaN |
| 1651 | Eritrea | ERI | 1966 | 88.263000 | NaN |
| 1915 | Eritrea | ERI | 1967 | 87.900000 | NaN |
| 2179 | Eritrea | ERI | 1968 | 87.737000 | NaN |
| 2443 | Eritrea | ERI | 1969 | 87.573000 | NaN |
| 2707 | Eritrea | ERI | 1970 | 87.407000 | NaN |
| 2971 | Eritrea | ERI | 1971 | 87.238000 | NaN |
| 3235 | Eritrea | ERI | 1972 | 87.068000 | NaN |
| 3499 | Eritrea | ERI | 1973 | 86.896000 | NaN |
| 3763 | Eritrea | ERI | 1974 | 86.722000 | NaN |
| 4027 | Eritrea | ERI | 1975 | 86.546000 | NaN |
| 4291 | Eritrea | ERI | 1976 | 86.368000 | NaN |
| 4555 | Eritrea | ERI | 1977 | 86.188000 | NaN |
| 4819 | Eritrea | ERI | 1978 | 86.006000 | NaN |
| 5083 | Eritrea | ERI | 1979 | 85.822000 | NaN |
| 5347 | Eritrea | ERI | 1980 | 85.636000 | NaN |
| 5611 | Eritrea | ERI | 1981 | 85.448000 | NaN |
| 5875 | Eritrea | ERI | 1982 | 85.258000 | NaN |
| 6139 | Eritrea | ERI | 1983 | 85.066000 | NaN |
| 6403 | Eritrea | ERI | 1984 | 84.884000 | NaN |
| 6667 | Eritrea | ERI | 1985 | 84.772000 | NaN |
| 6931 | Eritrea | ERI | 1986 | 84.659000 | NaN |
| 7195 | Eritrea | ERI | 1987 | 84.545000 | NaN |
| 7459 | Eritrea | ERI | 1988 | 84.431000 | NaN |
| 7723 | Eritrea | ERI | 1989 | 84.316000 | NaN |
| 7987 | Eritrea | ERI | 1990 | 84.200000 | 17.840946 |
| 8251 | Eritrea | ERI | 1991 | 84.074000 | 19.011621 |
| 8515 | Eritrea | ERI | 1992 | 83.938000 | 20.181787 |
| 8779 | Eritrea | ERI | 1993 | 83.790000 | 21.348892 |
| 9043 | Eritrea | ERI | 1994 | 83.633000 | 22.509882 |
| 9307 | Eritrea | ERI | 1995 | 83.464000 | 22.900000 |
| 9571 | Eritrea | ERI | 1996 | 83.283000 | 24.801268 |
| 9835 | Eritrea | ERI | 1997 | 83.092000 | 25.925545 |
| 10099 | Eritrea | ERI | 1998 | 82.888000 | 27.031469 |
| 10363 | Eritrea | ERI | 1999 | 82.672000 | 28.115980 |
| 10627 | Eritrea | ERI | 2000 | 82.445000 | 29.177538 |
| 10891 | Eritrea | ERI | 2001 | 82.204000 | 30.220686 |
| 11155 | Eritrea | ERI | 2002 | 81.951000 | 32.200000 |
| 11419 | Eritrea | ERI | 2003 | 81.685000 | 32.276005 |
| 11683 | Eritrea | ERI | 2004 | 81.405000 | 33.300304 |
| 11947 | Eritrea | ERI | 2005 | 81.111000 | 34.330444 |
| 12211 | Eritrea | ERI | 2006 | 80.804000 | 35.372486 |
| 12475 | Eritrea | ERI | 2007 | 80.482000 | 36.432499 |
| 12739 | Eritrea | ERI | 2008 | 80.146000 | 37.515034 |
| 13003 | Eritrea | ERI | 2009 | 79.794000 | 38.618595 |
| 13267 | Eritrea | ERI | 2010 | 79.428000 | 39.740181 |
| 13531 | Eritrea | ERI | 2011 | 79.046000 | 40.876785 |
| 13795 | Eritrea | ERI | 2012 | NaN | 42.025406 |
| 14059 | Eritrea | ERI | 2013 | NaN | 43.183037 |
| 14323 | Eritrea | ERI | 2014 | NaN | 44.346676 |
| 14587 | Eritrea | ERI | 2015 | NaN | 45.513321 |
| 14851 | Eritrea | ERI | 2016 | NaN | 46.680462 |
| 15115 | Eritrea | ERI | 2017 | NaN | NaN |
| 69 | Estonia | EST | 1960 | 42.467000 | NaN |
| 333 | Estonia | EST | 1961 | 41.696000 | NaN |
| 597 | Estonia | EST | 1962 | 40.928000 | NaN |
| 861 | Estonia | EST | 1963 | 40.164000 | NaN |
| 1125 | Estonia | EST | 1964 | 39.404000 | NaN |
| 1389 | Estonia | EST | 1965 | 38.652000 | NaN |
| 1653 | Estonia | EST | 1966 | 37.903000 | NaN |
| 1917 | Estonia | EST | 1967 | 37.161000 | NaN |
| 2181 | Estonia | EST | 1968 | 36.423000 | NaN |
| 2445 | Estonia | EST | 1969 | 35.693000 | NaN |
| 2709 | Estonia | EST | 1970 | 35.053000 | NaN |
| 2973 | Estonia | EST | 1971 | 34.517000 | NaN |
| 3237 | Estonia | EST | 1972 | 33.983000 | NaN |
| 3501 | Estonia | EST | 1973 | 33.455000 | NaN |
| 3765 | Estonia | EST | 1974 | 32.931000 | NaN |
| 4029 | Estonia | EST | 1975 | 32.411000 | NaN |
| 4293 | Estonia | EST | 1976 | 31.894000 | NaN |
| 4557 | Estonia | EST | 1977 | 31.383000 | NaN |
| 4821 | Estonia | EST | 1978 | 30.876000 | NaN |
| 5085 | Estonia | EST | 1979 | 30.503000 | NaN |
| 5349 | Estonia | EST | 1980 | 30.289000 | NaN |
| 5613 | Estonia | EST | 1981 | 30.076000 | NaN |
| 5877 | Estonia | EST | 1982 | 29.864000 | NaN |
| 6141 | Estonia | EST | 1983 | 29.653000 | NaN |
| 6405 | Estonia | EST | 1984 | 29.442000 | NaN |
| 6669 | Estonia | EST | 1985 | 29.233000 | NaN |
| 6933 | Estonia | EST | 1986 | 29.025000 | NaN |
| 7197 | Estonia | EST | 1987 | 28.817000 | NaN |
| 7461 | Estonia | EST | 1988 | 28.610000 | NaN |
| 7725 | Estonia | EST | 1989 | 28.585000 | NaN |
| 7989 | Estonia | EST | 1990 | 28.769000 | 100.000000 |
| 8253 | Estonia | EST | 1991 | 28.954000 | 100.000000 |
| 8517 | Estonia | EST | 1992 | 29.140000 | 100.000000 |
| 8781 | Estonia | EST | 1993 | 29.326000 | 100.000000 |
| 9045 | Estonia | EST | 1994 | 29.513000 | 100.000000 |
| 9309 | Estonia | EST | 1995 | 29.700000 | 100.000000 |
| 9573 | Estonia | EST | 1996 | 29.889000 | 100.000000 |
| 9837 | Estonia | EST | 1997 | 30.077000 | 100.000000 |
| 10101 | Estonia | EST | 1998 | 30.267000 | 100.000000 |
| 10365 | Estonia | EST | 1999 | 30.457000 | 100.000000 |
| 10629 | Estonia | EST | 2000 | 30.632000 | 100.000000 |
| 10893 | Estonia | EST | 2001 | 30.758000 | 100.000000 |
| 11157 | Estonia | EST | 2002 | 30.884000 | 100.000000 |
| 11421 | Estonia | EST | 2003 | 31.011000 | 100.000000 |
| 11685 | Estonia | EST | 2004 | 31.138000 | 100.000000 |
| 11949 | Estonia | EST | 2005 | 31.265000 | 100.000000 |
| 12213 | Estonia | EST | 2006 | 31.393000 | 100.000000 |
| 12477 | Estonia | EST | 2007 | 31.521000 | 100.000000 |
| 12741 | Estonia | EST | 2008 | 31.649000 | 100.000000 |
| 13005 | Estonia | EST | 2009 | 31.777000 | 100.000000 |
| 13269 | Estonia | EST | 2010 | 31.906000 | 100.000000 |
| 13533 | Estonia | EST | 2011 | 32.035000 | 100.000000 |
| 13797 | Estonia | EST | 2012 | 32.165000 | 100.000000 |
| 14061 | Estonia | EST | 2013 | 32.279000 | 100.000000 |
| 14325 | Estonia | EST | 2014 | 32.378000 | 100.000000 |
| 14589 | Estonia | EST | 2015 | 32.462000 | 100.000000 |
| 14853 | Estonia | EST | 2016 | 32.532000 | 100.000000 |
| 15117 | Estonia | EST | 2017 | 32.585000 | NaN |
| 70 | Ethiopia | ETH | 1960 | 93.567000 | NaN |
| 334 | Ethiopia | ETH | 1961 | 93.350000 | NaN |
| 598 | Ethiopia | ETH | 1962 | 93.126000 | NaN |
| 862 | Ethiopia | ETH | 1963 | 92.896000 | NaN |
| 1126 | Ethiopia | ETH | 1964 | 92.658000 | NaN |
| 1390 | Ethiopia | ETH | 1965 | 92.413000 | NaN |
| 1654 | Ethiopia | ETH | 1966 | 92.160000 | NaN |
| 1918 | Ethiopia | ETH | 1967 | 91.900000 | NaN |
| 2182 | Ethiopia | ETH | 1968 | 91.740000 | NaN |
| 2446 | Ethiopia | ETH | 1969 | 91.578000 | NaN |
| 2710 | Ethiopia | ETH | 1970 | 91.412000 | NaN |
| 2974 | Ethiopia | ETH | 1971 | 91.244000 | NaN |
| 3238 | Ethiopia | ETH | 1972 | 91.072000 | NaN |
| 3502 | Ethiopia | ETH | 1973 | 90.898000 | NaN |
| 3766 | Ethiopia | ETH | 1974 | 90.721000 | NaN |
| 4030 | Ethiopia | ETH | 1975 | 90.540000 | NaN |
| 4294 | Ethiopia | ETH | 1976 | 90.356000 | NaN |
| 4558 | Ethiopia | ETH | 1977 | 90.170000 | NaN |
| 4822 | Ethiopia | ETH | 1978 | 89.980000 | NaN |
| 5086 | Ethiopia | ETH | 1979 | 89.786000 | NaN |
| 5350 | Ethiopia | ETH | 1980 | 89.590000 | NaN |
| 5614 | Ethiopia | ETH | 1981 | 89.390000 | NaN |
| 5878 | Ethiopia | ETH | 1982 | 89.187000 | NaN |
| 6142 | Ethiopia | ETH | 1983 | 88.980000 | NaN |
| 6406 | Ethiopia | ETH | 1984 | 88.768000 | NaN |
| 6670 | Ethiopia | ETH | 1985 | 88.547000 | NaN |
| 6934 | Ethiopia | ETH | 1986 | 88.321000 | NaN |
| 7198 | Ethiopia | ETH | 1987 | 88.091000 | NaN |
| 7462 | Ethiopia | ETH | 1988 | 87.857000 | NaN |
| 7726 | Ethiopia | ETH | 1989 | 87.620000 | NaN |
| 7990 | Ethiopia | ETH | 1990 | 87.379000 | 0.010000 |
| 8254 | Ethiopia | ETH | 1991 | 87.133000 | 0.010000 |
| 8518 | Ethiopia | ETH | 1992 | 86.884000 | 0.027325 |
| 8782 | Ethiopia | ETH | 1993 | 86.630000 | 0.157242 |
| 9046 | Ethiopia | ETH | 1994 | 86.373000 | 0.598654 |
| 9310 | Ethiopia | ETH | 1995 | 86.173000 | 1.118786 |
| 9574 | Ethiopia | ETH | 1996 | 85.994000 | 2.780769 |
| 9838 | Ethiopia | ETH | 1997 | 85.814000 | 4.427457 |
| 10102 | Ethiopia | ETH | 1998 | 85.631000 | 6.055790 |
| 10366 | Ethiopia | ETH | 1999 | 85.447000 | 7.662709 |
| 10630 | Ethiopia | ETH | 2000 | 85.260000 | 12.700000 |
| 10894 | Ethiopia | ETH | 2001 | 85.073000 | 10.812233 |
| 11158 | Ethiopia | ETH | 2002 | 84.882000 | 12.365443 |
| 11422 | Ethiopia | ETH | 2003 | 84.690000 | 13.912370 |
| 11686 | Ethiopia | ETH | 2004 | 84.496000 | 15.459076 |
| 11950 | Ethiopia | ETH | 2005 | 84.300000 | 14.000000 |
| 12214 | Ethiopia | ETH | 2006 | 84.101000 | 18.576078 |
| 12478 | Ethiopia | ETH | 2007 | 83.884000 | 20.158501 |
| 12742 | Ethiopia | ETH | 2008 | 83.490000 | 21.763443 |
| 13006 | Ethiopia | ETH | 2009 | 83.090000 | 23.389412 |
| 13270 | Ethiopia | ETH | 2010 | 82.681000 | 25.033405 |
| 13534 | Ethiopia | ETH | 2011 | 82.265000 | 23.000000 |
| 13798 | Ethiopia | ETH | 2012 | 81.840000 | 28.363447 |
| 14062 | Ethiopia | ETH | 2013 | 81.410000 | 30.043488 |
| 14326 | Ethiopia | ETH | 2014 | 80.972000 | 27.200000 |
| 14590 | Ethiopia | ETH | 2015 | 80.528000 | 33.418591 |
| 14854 | Ethiopia | ETH | 2016 | 80.078000 | 42.900000 |
| 15118 | Ethiopia | ETH | 2017 | 79.621000 | NaN |
| 66 | Euro area | EMU | 1960 | 37.903053 | NaN |
| 330 | Euro area | EMU | 1961 | 37.424715 | NaN |
| 594 | Euro area | EMU | 1962 | 36.931422 | NaN |
| 858 | Euro area | EMU | 1963 | 36.370393 | NaN |
| 1122 | Euro area | EMU | 1964 | 35.810664 | NaN |
| 1386 | Euro area | EMU | 1965 | 35.252924 | NaN |
| 1650 | Euro area | EMU | 1966 | 34.699466 | NaN |
| 1914 | Euro area | EMU | 1967 | 34.161317 | NaN |
| 2178 | Euro area | EMU | 1968 | 33.670943 | NaN |
| 2442 | Euro area | EMU | 1969 | 33.256826 | NaN |
| 2706 | Euro area | EMU | 1970 | 32.852689 | NaN |
| 2970 | Euro area | EMU | 1971 | 32.466998 | NaN |
| 3234 | Euro area | EMU | 1972 | 32.132303 | NaN |
| 3498 | Euro area | EMU | 1973 | 31.819277 | NaN |
| 3762 | Euro area | EMU | 1974 | 31.517763 | NaN |
| 4026 | Euro area | EMU | 1975 | 31.263918 | NaN |
| 4290 | Euro area | EMU | 1976 | 31.041769 | NaN |
| 4554 | Euro area | EMU | 1977 | 30.799385 | NaN |
| 4818 | Euro area | EMU | 1978 | 30.555812 | NaN |
| 5082 | Euro area | EMU | 1979 | 30.314182 | NaN |
| 5346 | Euro area | EMU | 1980 | 30.074690 | NaN |
| 5610 | Euro area | EMU | 1981 | 29.835450 | NaN |
| 5874 | Euro area | EMU | 1982 | 29.672387 | NaN |
| 6138 | Euro area | EMU | 1983 | 29.555745 | NaN |
| 6402 | Euro area | EMU | 1984 | 29.479698 | NaN |
| 6666 | Euro area | EMU | 1985 | 29.419234 | NaN |
| 6930 | Euro area | EMU | 1986 | 29.322193 | NaN |
| 7194 | Euro area | EMU | 1987 | 29.305403 | NaN |
| 7458 | Euro area | EMU | 1988 | 28.978957 | NaN |
| 7722 | Euro area | EMU | 1989 | 28.863677 | NaN |
| 7986 | Euro area | EMU | 1990 | 28.708652 | 100.000000 |
| 8250 | Euro area | EMU | 1991 | 28.540146 | 100.000000 |
| 8514 | Euro area | EMU | 1992 | 28.383935 | 100.000000 |
| 8778 | Euro area | EMU | 1993 | 28.242388 | 100.000000 |
| 9042 | Euro area | EMU | 1994 | 28.117686 | 100.000000 |
| 9306 | Euro area | EMU | 1995 | 28.002463 | 100.000000 |
| 9570 | Euro area | EMU | 1996 | 27.888058 | 100.000000 |
| 9834 | Euro area | EMU | 1997 | 27.777166 | 100.000000 |
| 10098 | Euro area | EMU | 1998 | 27.668729 | 100.000000 |
| 10362 | Euro area | EMU | 1999 | 27.548244 | 100.000000 |
| 10626 | Euro area | EMU | 2000 | 27.404306 | 100.000000 |
| 10890 | Euro area | EMU | 2001 | 27.231755 | 100.000000 |
| 11154 | Euro area | EMU | 2002 | 27.016295 | 100.000000 |
| 11418 | Euro area | EMU | 2003 | 26.794399 | 100.000000 |
| 11682 | Euro area | EMU | 2004 | 26.576975 | 100.000000 |
| 11946 | Euro area | EMU | 2005 | 26.358596 | 100.000000 |
| 12210 | Euro area | EMU | 2006 | 26.126296 | 100.000000 |
| 12474 | Euro area | EMU | 2007 | 25.886676 | 100.000000 |
| 12738 | Euro area | EMU | 2008 | 25.649621 | 100.000000 |
| 13002 | Euro area | EMU | 2009 | 25.415346 | 100.000000 |
| 13266 | Euro area | EMU | 2010 | 25.182818 | 100.000000 |
| 13530 | Euro area | EMU | 2011 | 24.945357 | 100.000000 |
| 13794 | Euro area | EMU | 2012 | 24.720890 | 100.000000 |
| 14058 | Euro area | EMU | 2013 | 24.511144 | 100.000000 |
| 14322 | Euro area | EMU | 2014 | 24.301836 | 100.000000 |
| 14586 | Euro area | EMU | 2015 | 24.079442 | 100.000000 |
| 14850 | Euro area | EMU | 2016 | 23.855610 | 100.000000 |
| 15114 | Euro area | EMU | 2017 | 23.630890 | NaN |
| 63 | Europe & Central Asia | ECS | 1960 | 44.610756 | NaN |
| 327 | Europe & Central Asia | ECS | 1961 | 44.075821 | NaN |
| 591 | Europe & Central Asia | ECS | 1962 | 43.542119 | NaN |
| 855 | Europe & Central Asia | ECS | 1963 | 42.982369 | NaN |
| 1119 | Europe & Central Asia | ECS | 1964 | 42.423657 | NaN |
| 1383 | Europe & Central Asia | ECS | 1965 | 41.856616 | NaN |
| 1647 | Europe & Central Asia | ECS | 1966 | 41.293198 | NaN |
| 1911 | Europe & Central Asia | ECS | 1967 | 40.747031 | NaN |
| 2175 | Europe & Central Asia | ECS | 1968 | 40.220012 | NaN |
| 2439 | Europe & Central Asia | ECS | 1969 | 39.721959 | NaN |
| 2703 | Europe & Central Asia | ECS | 1970 | 39.233311 | NaN |
| 2967 | Europe & Central Asia | ECS | 1971 | 38.760601 | NaN |
| 3231 | Europe & Central Asia | ECS | 1972 | 38.295554 | NaN |
| 3495 | Europe & Central Asia | ECS | 1973 | 37.842966 | NaN |
| 3759 | Europe & Central Asia | ECS | 1974 | 37.399904 | NaN |
| 4023 | Europe & Central Asia | ECS | 1975 | 36.989598 | NaN |
| 4287 | Europe & Central Asia | ECS | 1976 | 36.604192 | NaN |
| 4551 | Europe & Central Asia | ECS | 1977 | 36.215492 | NaN |
| 4815 | Europe & Central Asia | ECS | 1978 | 35.824106 | NaN |
| 5079 | Europe & Central Asia | ECS | 1979 | 35.470800 | NaN |
| 5343 | Europe & Central Asia | ECS | 1980 | 35.163942 | NaN |
| 5607 | Europe & Central Asia | ECS | 1981 | 34.821419 | NaN |
| 5871 | Europe & Central Asia | ECS | 1982 | 34.502546 | NaN |
| 6135 | Europe & Central Asia | ECS | 1983 | 34.199425 | NaN |
| 6399 | Europe & Central Asia | ECS | 1984 | 33.906058 | NaN |
| 6663 | Europe & Central Asia | ECS | 1985 | 33.622946 | NaN |
| 6927 | Europe & Central Asia | ECS | 1986 | 33.344934 | NaN |
| 7191 | Europe & Central Asia | ECS | 1987 | 33.105006 | NaN |
| 7455 | Europe & Central Asia | ECS | 1988 | 32.747278 | NaN |
| 7719 | Europe & Central Asia | ECS | 1989 | 32.542128 | NaN |
| 7983 | Europe & Central Asia | ECS | 1990 | 32.399852 | 98.897790 |
| 8247 | Europe & Central Asia | ECS | 1991 | 32.281014 | 98.958926 |
| 8511 | Europe & Central Asia | ECS | 1992 | 32.196005 | 99.021816 |
| 8775 | Europe & Central Asia | ECS | 1993 | 32.132848 | 99.085434 |
| 9039 | Europe & Central Asia | ECS | 1994 | 32.068766 | 99.148526 |
| 9303 | Europe & Central Asia | ECS | 1995 | 32.002716 | 99.155275 |
| 9567 | Europe & Central Asia | ECS | 1996 | 31.941331 | 99.278326 |
| 9831 | Europe & Central Asia | ECS | 1997 | 31.884159 | 99.327688 |
| 10095 | Europe & Central Asia | ECS | 1998 | 31.823038 | 99.381831 |
| 10359 | Europe & Central Asia | ECS | 1999 | 31.751837 | 99.378306 |
| 10623 | Europe & Central Asia | ECS | 2000 | 31.663329 | 99.484054 |
| 10887 | Europe & Central Asia | ECS | 2001 | 31.549740 | 99.527853 |
| 11151 | Europe & Central Asia | ECS | 2002 | 31.387509 | 99.583437 |
| 11415 | Europe & Central Asia | ECS | 2003 | 31.217747 | 99.614343 |
| 11679 | Europe & Central Asia | ECS | 2004 | 31.046982 | 99.646451 |
| 11943 | Europe & Central Asia | ECS | 2005 | 30.872850 | 99.704899 |
| 12207 | Europe & Central Asia | ECS | 2006 | 30.692627 | 99.740526 |
| 12471 | Europe & Central Asia | ECS | 2007 | 30.504960 | 99.797625 |
| 12735 | Europe & Central Asia | ECS | 2008 | 30.322698 | 99.847634 |
| 12999 | Europe & Central Asia | ECS | 2009 | 30.153738 | 99.908110 |
| 13263 | Europe & Central Asia | ECS | 2010 | 29.992260 | 99.772389 |
| 13527 | Europe & Central Asia | ECS | 2011 | 29.834779 | 99.973174 |
| 13791 | Europe & Central Asia | ECS | 2012 | 29.660929 | 99.977625 |
| 14055 | Europe & Central Asia | ECS | 2013 | 29.488205 | 99.994686 |
| 14319 | Europe & Central Asia | ECS | 2014 | 29.312280 | 99.995541 |
| 14583 | Europe & Central Asia | ECS | 2015 | 29.128639 | 99.999199 |
| 14847 | Europe & Central Asia | ECS | 2016 | 28.941035 | 99.999974 |
| 15111 | Europe & Central Asia | ECS | 2017 | 28.750120 | NaN |
| 229 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1960 | 54.987879 | NaN |
| 493 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1961 | 54.245835 | NaN |
| 757 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1962 | 53.525772 | NaN |
| 1021 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1963 | 52.805528 | NaN |
| 1285 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1964 | 52.085700 | NaN |
| 1549 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1965 | 51.354484 | NaN |
| 1813 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1966 | 50.642585 | NaN |
| 2077 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1967 | 49.943194 | NaN |
| 2341 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1968 | 49.243386 | NaN |
| 2605 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1969 | 48.545663 | NaN |
| 2869 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1970 | 47.859157 | NaN |
| 3133 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1971 | 47.194989 | NaN |
| 3397 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1972 | 46.542087 | NaN |
| 3661 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1973 | 45.893030 | NaN |
| 3925 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1974 | 45.249791 | NaN |
| 4189 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1975 | 44.631411 | NaN |
| 4453 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1976 | 44.031754 | NaN |
| 4717 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1977 | 43.440757 | NaN |
| 4981 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1978 | 42.848888 | NaN |
| 5245 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1979 | 42.337590 | NaN |
| 5509 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1980 | 41.915212 | NaN |
| 5773 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1981 | 41.400967 | NaN |
| 6037 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1982 | 40.855438 | NaN |
| 6301 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1983 | 40.308822 | NaN |
| 6565 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1984 | 39.753112 | NaN |
| 6829 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1985 | 39.212344 | NaN |
| 7093 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1986 | 38.715861 | NaN |
| 7357 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1987 | 38.240278 | NaN |
| 7621 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1988 | 37.766073 | NaN |
| 7885 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1989 | 37.445916 | NaN |
| 8149 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1990 | 37.286884 | 97.831061 |
| 8413 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1991 | 37.179472 | 97.952047 |
| 8677 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1992 | 37.136171 | 98.075417 |
| 8941 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1993 | 37.125201 | 98.200355 |
| 9205 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1994 | 37.106403 | 98.323530 |
| 9469 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1995 | 37.076963 | 98.494445 |
| 9733 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1996 | 37.056464 | 98.576841 |
| 9997 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1997 | 37.036006 | 98.673490 |
| 10261 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1998 | 37.005102 | 98.779396 |
| 10525 | Europe & Central Asia (IDA & IBRD countries) | TEC | 1999 | 36.973132 | 98.771000 |
| 10789 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2000 | 36.937355 | 98.978040 |
| 11053 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2001 | 36.881986 | 99.062925 |
| 11317 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2002 | 36.804638 | 99.171102 |
| 11581 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2003 | 36.712110 | 99.230806 |
| 11845 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2004 | 36.612932 | 99.293279 |
| 12109 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2005 | 36.511826 | 99.408856 |
| 12373 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2006 | 36.411391 | 99.479245 |
| 12637 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2007 | 36.303313 | 99.593009 |
| 12901 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2008 | 36.198472 | 99.693099 |
| 13165 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2009 | 36.101038 | 99.814894 |
| 13429 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2010 | 36.011403 | 99.541691 |
| 13693 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2011 | 35.913650 | 99.946111 |
| 13957 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2012 | 35.785453 | 99.955092 |
| 14221 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2013 | 35.648957 | 99.989341 |
| 14485 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2014 | 35.507397 | 99.991061 |
| 14749 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2015 | 35.358496 | 99.998396 |
| 15013 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2016 | 35.202616 | 99.999948 |
| 15277 | Europe & Central Asia (IDA & IBRD countries) | TEC | 2017 | 35.039240 | NaN |
| 62 | Europe & Central Asia (excluding high income) | ECA | 1960 | 55.074885 | NaN |
| 326 | Europe & Central Asia (excluding high income) | ECA | 1961 | 54.323823 | NaN |
| 590 | Europe & Central Asia (excluding high income) | ECA | 1962 | 53.573518 | NaN |
| 854 | Europe & Central Asia (excluding high income) | ECA | 1963 | 52.824045 | NaN |
| 1118 | Europe & Central Asia (excluding high income) | ECA | 1964 | 52.075591 | NaN |
| 1382 | Europe & Central Asia (excluding high income) | ECA | 1965 | 51.313712 | NaN |
| 1646 | Europe & Central Asia (excluding high income) | ECA | 1966 | 50.573670 | NaN |
| 1910 | Europe & Central Asia (excluding high income) | ECA | 1967 | 49.848272 | NaN |
| 2174 | Europe & Central Asia (excluding high income) | ECA | 1968 | 49.122677 | NaN |
| 2438 | Europe & Central Asia (excluding high income) | ECA | 1969 | 48.399581 | NaN |
| 2702 | Europe & Central Asia (excluding high income) | ECA | 1970 | 47.689207 | NaN |
| 2966 | Europe & Central Asia (excluding high income) | ECA | 1971 | 47.018799 | NaN |
| 3230 | Europe & Central Asia (excluding high income) | ECA | 1972 | 46.371550 | NaN |
| 3494 | Europe & Central Asia (excluding high income) | ECA | 1973 | 45.728267 | NaN |
| 3758 | Europe & Central Asia (excluding high income) | ECA | 1974 | 45.091466 | NaN |
| 4022 | Europe & Central Asia (excluding high income) | ECA | 1975 | 44.482375 | NaN |
| 4286 | Europe & Central Asia (excluding high income) | ECA | 1976 | 43.894036 | NaN |
| 4550 | Europe & Central Asia (excluding high income) | ECA | 1977 | 43.315331 | NaN |
| 4814 | Europe & Central Asia (excluding high income) | ECA | 1978 | 42.734847 | NaN |
| 5078 | Europe & Central Asia (excluding high income) | ECA | 1979 | 42.228738 | NaN |
| 5342 | Europe & Central Asia (excluding high income) | ECA | 1980 | 41.809667 | NaN |
| 5606 | Europe & Central Asia (excluding high income) | ECA | 1981 | 41.285766 | NaN |
| 5870 | Europe & Central Asia (excluding high income) | ECA | 1982 | 40.720441 | NaN |
| 6134 | Europe & Central Asia (excluding high income) | ECA | 1983 | 40.153888 | NaN |
| 6398 | Europe & Central Asia (excluding high income) | ECA | 1984 | 39.577428 | NaN |
| 6662 | Europe & Central Asia (excluding high income) | ECA | 1985 | 39.017556 | NaN |
| 6926 | Europe & Central Asia (excluding high income) | ECA | 1986 | 38.507106 | NaN |
| 7190 | Europe & Central Asia (excluding high income) | ECA | 1987 | 38.019998 | NaN |
| 7454 | Europe & Central Asia (excluding high income) | ECA | 1988 | 37.534743 | NaN |
| 7718 | Europe & Central Asia (excluding high income) | ECA | 1989 | 37.202607 | NaN |
| 7982 | Europe & Central Asia (excluding high income) | ECA | 1990 | 37.035400 | 97.589699 |
| 8246 | Europe & Central Asia (excluding high income) | ECA | 1991 | 36.930832 | 97.726018 |
| 8510 | Europe & Central Asia (excluding high income) | ECA | 1992 | 36.890152 | 97.863503 |
| 8774 | Europe & Central Asia (excluding high income) | ECA | 1993 | 36.880805 | 98.001600 |
| 9038 | Europe & Central Asia (excluding high income) | ECA | 1994 | 36.865912 | 98.138296 |
| 9302 | Europe & Central Asia (excluding high income) | ECA | 1995 | 36.838905 | 98.328019 |
| 9566 | Europe & Central Asia (excluding high income) | ECA | 1996 | 36.825929 | 98.420216 |
| 9830 | Europe & Central Asia (excluding high income) | ECA | 1997 | 36.807845 | 98.527305 |
| 10094 | Europe & Central Asia (excluding high income) | ECA | 1998 | 36.781095 | 98.645162 |
| 10358 | Europe & Central Asia (excluding high income) | ECA | 1999 | 36.750759 | 98.635693 |
| 10622 | Europe & Central Asia (excluding high income) | ECA | 2000 | 36.720943 | 98.866946 |
| 10886 | Europe & Central Asia (excluding high income) | ECA | 2001 | 36.665149 | 98.960995 |
| 11150 | Europe & Central Asia (excluding high income) | ECA | 2002 | 36.583498 | 99.080905 |
| 11414 | Europe & Central Asia (excluding high income) | ECA | 2003 | 36.472049 | 99.147188 |
| 11678 | Europe & Central Asia (excluding high income) | ECA | 2004 | 36.353451 | 99.216561 |
| 11942 | Europe & Central Asia (excluding high income) | ECA | 2005 | 36.232847 | 99.344771 |
| 12206 | Europe & Central Asia (excluding high income) | ECA | 2006 | 36.113522 | 99.422903 |
| 12470 | Europe & Central Asia (excluding high income) | ECA | 2007 | 35.985968 | 99.549078 |
| 12734 | Europe & Central Asia (excluding high income) | ECA | 2008 | 35.862215 | 99.660056 |
| 12998 | Europe & Central Asia (excluding high income) | ECA | 2009 | 35.747538 | 99.795043 |
| 13262 | Europe & Central Asia (excluding high income) | ECA | 2010 | 35.643135 | 99.492925 |
| 13526 | Europe & Central Asia (excluding high income) | ECA | 2011 | 35.531226 | 99.940423 |
| 13790 | Europe & Central Asia (excluding high income) | ECA | 2012 | 35.385993 | 99.950380 |
| 14054 | Europe & Central Asia (excluding high income) | ECA | 2013 | 35.234292 | 99.988230 |
| 14318 | Europe & Central Asia (excluding high income) | ECA | 2014 | 35.079499 | 99.990136 |
| 14582 | Europe & Central Asia (excluding high income) | ECA | 2015 | 34.919086 | 99.998232 |
| 14846 | Europe & Central Asia (excluding high income) | ECA | 2016 | 34.752928 | 99.999943 |
| 15110 | Europe & Central Asia (excluding high income) | ECA | 2017 | 34.580579 | NaN |
| 71 | European Union | EUU | 1960 | 38.787102 | NaN |
| 335 | European Union | EUU | 1961 | 38.326393 | NaN |
| 599 | European Union | EUU | 1962 | 37.873972 | NaN |
| 863 | European Union | EUU | 1963 | 37.380637 | NaN |
| 1127 | European Union | EUU | 1964 | 36.890031 | NaN |
| 1391 | European Union | EUU | 1965 | 36.395785 | NaN |
| 1655 | European Union | EUU | 1966 | 35.917378 | NaN |
| 1919 | European Union | EUU | 1967 | 35.472692 | NaN |
| 2183 | European Union | EUU | 1968 | 35.057867 | NaN |
| 2447 | European Union | EUU | 1969 | 34.688558 | NaN |
| 2711 | European Union | EUU | 1970 | 34.323107 | NaN |
| 2975 | European Union | EUU | 1971 | 33.948813 | NaN |
| 3239 | European Union | EUU | 1972 | 33.570271 | NaN |
| 3503 | European Union | EUU | 1973 | 33.209339 | NaN |
| 3767 | European Union | EUU | 1974 | 32.859985 | NaN |
| 4031 | European Union | EUU | 1975 | 32.548891 | NaN |
| 4295 | European Union | EUU | 1976 | 32.263079 | NaN |
| 4559 | European Union | EUU | 1977 | 31.959568 | NaN |
| 4823 | European Union | EUU | 1978 | 31.648654 | NaN |
| 5087 | European Union | EUU | 1979 | 31.346731 | NaN |
| 5351 | European Union | EUU | 1980 | 31.060486 | NaN |
| 5615 | European Union | EUU | 1981 | 30.811901 | NaN |
| 5879 | European Union | EUU | 1982 | 30.642929 | NaN |
| 6143 | European Union | EUU | 1983 | 30.502293 | NaN |
| 6407 | European Union | EUU | 1984 | 30.385592 | NaN |
| 6671 | European Union | EUU | 1985 | 30.278336 | NaN |
| 6935 | European Union | EUU | 1986 | 30.147154 | NaN |
| 7199 | European Union | EUU | 1987 | 30.067651 | NaN |
| 7463 | European Union | EUU | 1988 | 29.785503 | NaN |
| 7727 | European Union | EUU | 1989 | 29.651367 | NaN |
| 7991 | European Union | EUU | 1990 | 29.503124 | 100.000000 |
| 8255 | European Union | EUU | 1991 | 29.330474 | 100.000000 |
| 8519 | European Union | EUU | 1992 | 29.184740 | 100.000000 |
| 8783 | European Union | EUU | 1993 | 29.084594 | 100.000000 |
| 9047 | European Union | EUU | 1994 | 28.990682 | 100.000000 |
| 9311 | European Union | EUU | 1995 | 28.902697 | 100.000000 |
| 9575 | European Union | EUU | 1996 | 28.809406 | 100.000000 |
| 9839 | European Union | EUU | 1997 | 28.728425 | 100.000000 |
| 10103 | European Union | EUU | 1998 | 28.644257 | 100.000000 |
| 10367 | European Union | EUU | 1999 | 28.555652 | 100.000000 |
| 10631 | European Union | EUU | 2000 | 28.437228 | 100.000000 |
| 10895 | European Union | EUU | 2001 | 28.288453 | 100.000000 |
| 11159 | European Union | EUU | 2002 | 28.069737 | 100.000000 |
| 11423 | European Union | EUU | 2003 | 27.857558 | 100.000000 |
| 11687 | European Union | EUU | 2004 | 27.647835 | 100.000000 |
| 11951 | European Union | EUU | 2005 | 27.434792 | 100.000000 |
| 12215 | European Union | EUU | 2006 | 27.210409 | 100.000000 |
| 12479 | European Union | EUU | 2007 | 26.972629 | 100.000000 |
| 12743 | European Union | EUU | 2008 | 26.735849 | 100.000000 |
| 13007 | European Union | EUU | 2009 | 26.510290 | 100.000000 |
| 13271 | European Union | EUU | 2010 | 26.285242 | 100.000000 |
| 13535 | European Union | EUU | 2011 | 26.060551 | 100.000000 |
| 13799 | European Union | EUU | 2012 | 25.844536 | 100.000000 |
| 14063 | European Union | EUU | 2013 | 25.636099 | 100.000000 |
| 14327 | European Union | EUU | 2014 | 25.424585 | 100.000000 |
| 14591 | European Union | EUU | 2015 | 25.201101 | 100.000000 |
| 14855 | European Union | EUU | 2016 | 24.974761 | 100.000000 |
| 15119 | European Union | EUU | 2017 | 24.746988 | NaN |
| 76 | Faroe Islands | FRO | 1960 | 78.617000 | NaN |
| 340 | Faroe Islands | FRO | 1961 | 77.859000 | NaN |
| 604 | Faroe Islands | FRO | 1962 | 77.038000 | NaN |
| 868 | Faroe Islands | FRO | 1963 | 76.195000 | NaN |
| 1132 | Faroe Islands | FRO | 1964 | 75.331000 | NaN |
| 1396 | Faroe Islands | FRO | 1965 | 74.447000 | NaN |
| 1660 | Faroe Islands | FRO | 1966 | 73.672000 | NaN |
| 1924 | Faroe Islands | FRO | 1967 | 73.277000 | NaN |
| 2188 | Faroe Islands | FRO | 1968 | 72.878000 | NaN |
| 2452 | Faroe Islands | FRO | 1969 | 72.476000 | NaN |
| 2716 | Faroe Islands | FRO | 1970 | 72.049000 | NaN |
| 2980 | Faroe Islands | FRO | 1971 | 71.583000 | NaN |
| 3244 | Faroe Islands | FRO | 1972 | 71.112000 | NaN |
| 3508 | Faroe Islands | FRO | 1973 | 70.638000 | NaN |
| 3772 | Faroe Islands | FRO | 1974 | 70.158000 | NaN |
| 4036 | Faroe Islands | FRO | 1975 | 69.674000 | NaN |
| 4300 | Faroe Islands | FRO | 1976 | 69.185000 | NaN |
| 4564 | Faroe Islands | FRO | 1977 | 68.693000 | NaN |
| 4828 | Faroe Islands | FRO | 1978 | 68.645000 | NaN |
| 5092 | Faroe Islands | FRO | 1979 | 68.730000 | NaN |
| 5356 | Faroe Islands | FRO | 1980 | 68.814000 | NaN |
| 5620 | Faroe Islands | FRO | 1981 | 68.899000 | NaN |
| 5884 | Faroe Islands | FRO | 1982 | 68.983000 | NaN |
| 6148 | Faroe Islands | FRO | 1983 | 69.067000 | NaN |
| 6412 | Faroe Islands | FRO | 1984 | 69.151000 | NaN |
| 6676 | Faroe Islands | FRO | 1985 | 69.234000 | NaN |
| 6940 | Faroe Islands | FRO | 1986 | 69.318000 | NaN |
| 7204 | Faroe Islands | FRO | 1987 | 69.402000 | NaN |
| 7468 | Faroe Islands | FRO | 1988 | 69.485000 | NaN |
| 7732 | Faroe Islands | FRO | 1989 | 69.568000 | NaN |
| 7996 | Faroe Islands | FRO | 1990 | 69.406000 | 100.000000 |
| 8260 | Faroe Islands | FRO | 1991 | 69.186000 | 100.000000 |
| 8524 | Faroe Islands | FRO | 1992 | 69.158000 | 100.000000 |
| 8788 | Faroe Islands | FRO | 1993 | 69.130000 | 100.000000 |
| 9052 | Faroe Islands | FRO | 1994 | 69.102000 | 100.000000 |
| 9316 | Faroe Islands | FRO | 1995 | 69.074000 | 100.000000 |
| 9580 | Faroe Islands | FRO | 1996 | 66.965000 | 100.000000 |
| 9844 | Faroe Islands | FRO | 1997 | 64.646000 | 100.000000 |
| 10108 | Faroe Islands | FRO | 1998 | 64.346000 | 100.000000 |
| 10372 | Faroe Islands | FRO | 1999 | 64.140000 | 100.000000 |
| 10636 | Faroe Islands | FRO | 2000 | 63.663000 | 100.000000 |
| 10900 | Faroe Islands | FRO | 2001 | 62.825000 | 100.000000 |
| 11164 | Faroe Islands | FRO | 2002 | 61.978000 | 100.000000 |
| 11428 | Faroe Islands | FRO | 2003 | 61.286000 | 100.000000 |
| 11692 | Faroe Islands | FRO | 2004 | 60.753000 | 100.000000 |
| 11956 | Faroe Islands | FRO | 2005 | 60.219000 | 100.000000 |
| 12220 | Faroe Islands | FRO | 2006 | 59.853000 | 100.000000 |
| 12484 | Faroe Islands | FRO | 2007 | 59.659000 | 100.000000 |
| 12748 | Faroe Islands | FRO | 2008 | 59.464000 | 100.000000 |
| 13012 | Faroe Islands | FRO | 2009 | 59.269000 | 100.000000 |
| 13276 | Faroe Islands | FRO | 2010 | 59.074000 | 100.000000 |
| 13540 | Faroe Islands | FRO | 2011 | 58.878000 | 100.000000 |
| 13804 | Faroe Islands | FRO | 2012 | 58.677000 | 100.000000 |
| 14068 | Faroe Islands | FRO | 2013 | 58.470000 | 100.000000 |
| 14332 | Faroe Islands | FRO | 2014 | 58.257000 | 100.000000 |
| 14596 | Faroe Islands | FRO | 2015 | 58.038000 | 100.000000 |
| 14860 | Faroe Islands | FRO | 2016 | 57.813000 | 100.000000 |
| 15124 | Faroe Islands | FRO | 2017 | 57.583000 | NaN |
| 74 | Fiji | FJI | 1960 | 70.319000 | NaN |
| 338 | Fiji | FJI | 1961 | 69.752000 | NaN |
| 602 | Fiji | FJI | 1962 | 69.177000 | NaN |
| 866 | Fiji | FJI | 1963 | 68.597000 | NaN |
| 1130 | Fiji | FJI | 1964 | 68.009000 | NaN |
| 1394 | Fiji | FJI | 1965 | 67.418000 | NaN |
| 1658 | Fiji | FJI | 1966 | 66.820000 | NaN |
| 1922 | Fiji | FJI | 1967 | 66.396000 | NaN |
| 2186 | Fiji | FJI | 1968 | 66.013000 | NaN |
| 2450 | Fiji | FJI | 1969 | 65.629000 | NaN |
| 2714 | Fiji | FJI | 1970 | 65.242000 | NaN |
| 2978 | Fiji | FJI | 1971 | 64.853000 | NaN |
| 3242 | Fiji | FJI | 1972 | 64.462000 | NaN |
| 3506 | Fiji | FJI | 1973 | 64.070000 | NaN |
| 3770 | Fiji | FJI | 1974 | 63.676000 | NaN |
| 4034 | Fiji | FJI | 1975 | 63.279000 | NaN |
| 4298 | Fiji | FJI | 1976 | 62.881000 | NaN |
| 4562 | Fiji | FJI | 1977 | 62.681000 | NaN |
| 4826 | Fiji | FJI | 1978 | 62.531000 | NaN |
| 5090 | Fiji | FJI | 1979 | 62.381000 | NaN |
| 5354 | Fiji | FJI | 1980 | 62.231000 | NaN |
| 5618 | Fiji | FJI | 1981 | 62.081000 | NaN |
| 5882 | Fiji | FJI | 1982 | 61.930000 | NaN |
| 6146 | Fiji | FJI | 1983 | 61.779000 | NaN |
| 6410 | Fiji | FJI | 1984 | 61.628000 | NaN |
| 6674 | Fiji | FJI | 1985 | 61.477000 | NaN |
| 6938 | Fiji | FJI | 1986 | 61.325000 | NaN |
| 7202 | Fiji | FJI | 1987 | 60.673000 | NaN |
| 7466 | Fiji | FJI | 1988 | 59.915000 | NaN |
| 7730 | Fiji | FJI | 1989 | 59.155000 | NaN |
| 7994 | Fiji | FJI | 1990 | 58.389000 | 60.461788 |
| 8258 | Fiji | FJI | 1991 | 57.619000 | 61.991875 |
| 8522 | Fiji | FJI | 1992 | 56.844000 | 63.521454 |
| 8786 | Fiji | FJI | 1993 | 56.067000 | 65.047974 |
| 9050 | Fiji | FJI | 1994 | 55.287000 | 66.568375 |
| 9314 | Fiji | FJI | 1995 | 54.504000 | 68.079597 |
| 9578 | Fiji | FJI | 1996 | 53.718000 | 66.900000 |
| 9842 | Fiji | FJI | 1997 | 53.268000 | 71.062279 |
| 10106 | Fiji | FJI | 1998 | 52.877000 | 72.527618 |
| 10370 | Fiji | FJI | 1999 | 52.485000 | 73.971542 |
| 10634 | Fiji | FJI | 2000 | 52.092000 | 75.392509 |
| 10898 | Fiji | FJI | 2001 | 51.700000 | 76.795074 |
| 11162 | Fiji | FJI | 2002 | 51.308000 | 79.630000 |
| 11426 | Fiji | FJI | 2003 | 50.915000 | 80.000000 |
| 11690 | Fiji | FJI | 2004 | 50.521000 | 80.952927 |
| 11954 | Fiji | FJI | 2005 | 50.129000 | 82.342484 |
| 12218 | Fiji | FJI | 2006 | 49.736000 | 83.743942 |
| 12482 | Fiji | FJI | 2007 | 49.343000 | 88.900000 |
| 12746 | Fiji | FJI | 2008 | 48.949000 | 86.160000 |
| 13010 | Fiji | FJI | 2009 | 48.560000 | 88.068291 |
| 13274 | Fiji | FJI | 2010 | 48.172000 | 89.549286 |
| 13538 | Fiji | FJI | 2011 | 47.786000 | 91.045303 |
| 13802 | Fiji | FJI | 2012 | 47.404000 | 92.553337 |
| 14066 | Fiji | FJI | 2013 | 47.024000 | 91.750000 |
| 14330 | Fiji | FJI | 2014 | 46.646000 | 95.593437 |
| 14594 | Fiji | FJI | 2015 | 46.272000 | 97.119492 |
| 14858 | Fiji | FJI | 2016 | 45.901000 | 98.646049 |
| 15122 | Fiji | FJI | 2017 | 45.532000 | NaN |
| 73 | Finland | FIN | 1960 | 44.710000 | NaN |
| 337 | Finland | FIN | 1961 | 43.679000 | NaN |
| 601 | Finland | FIN | 1962 | 42.838000 | NaN |
| 865 | Finland | FIN | 1963 | 42.002000 | NaN |
| 1129 | Finland | FIN | 1964 | 41.168000 | NaN |
| 1393 | Finland | FIN | 1965 | 40.342000 | NaN |
| 1657 | Finland | FIN | 1966 | 39.520000 | NaN |
| 1921 | Finland | FIN | 1967 | 38.705000 | NaN |
| 2185 | Finland | FIN | 1968 | 37.894000 | NaN |
| 2449 | Finland | FIN | 1969 | 37.092000 | NaN |
| 2713 | Finland | FIN | 1970 | 36.296000 | NaN |
| 2977 | Finland | FIN | 1971 | 35.477000 | NaN |
| 3241 | Finland | FIN | 1972 | 34.634000 | NaN |
| 3505 | Finland | FIN | 1973 | 33.803000 | NaN |
| 3769 | Finland | FIN | 1974 | 32.981000 | NaN |
| 4033 | Finland | FIN | 1975 | 32.169000 | NaN |
| 4297 | Finland | FIN | 1976 | 31.366000 | NaN |
| 4561 | Finland | FIN | 1977 | 30.577000 | NaN |
| 4825 | Finland | FIN | 1978 | 29.798000 | NaN |
| 5089 | Finland | FIN | 1979 | 29.030000 | NaN |
| 5353 | Finland | FIN | 1980 | 28.273000 | NaN |
| 5617 | Finland | FIN | 1981 | 27.472000 | NaN |
| 5881 | Finland | FIN | 1982 | 26.627000 | NaN |
| 6145 | Finland | FIN | 1983 | 25.798000 | NaN |
| 6409 | Finland | FIN | 1984 | 24.985000 | NaN |
| 6673 | Finland | FIN | 1985 | 24.192000 | NaN |
| 6937 | Finland | FIN | 1986 | 23.433000 | NaN |
| 7201 | Finland | FIN | 1987 | 22.709000 | NaN |
| 7465 | Finland | FIN | 1988 | 22.000000 | NaN |
| 7729 | Finland | FIN | 1989 | 21.309000 | NaN |
| 7993 | Finland | FIN | 1990 | 20.633000 | 100.000000 |
| 8257 | Finland | FIN | 1991 | 20.157000 | 100.000000 |
| 8521 | Finland | FIN | 1992 | 19.872000 | 100.000000 |
| 8785 | Finland | FIN | 1993 | 19.591000 | 100.000000 |
| 9049 | Finland | FIN | 1994 | 19.312000 | 100.000000 |
| 9313 | Finland | FIN | 1995 | 19.037000 | 100.000000 |
| 9577 | Finland | FIN | 1996 | 18.777000 | 100.000000 |
| 9841 | Finland | FIN | 1997 | 18.534000 | 100.000000 |
| 10105 | Finland | FIN | 1998 | 18.293000 | 100.000000 |
| 10369 | Finland | FIN | 1999 | 18.054000 | 100.000000 |
| 10633 | Finland | FIN | 2000 | 17.817000 | 100.000000 |
| 10897 | Finland | FIN | 2001 | 17.632000 | 100.000000 |
| 11161 | Finland | FIN | 2002 | 17.497000 | 100.000000 |
| 11425 | Finland | FIN | 2003 | 17.362000 | 100.000000 |
| 11689 | Finland | FIN | 2004 | 17.228000 | 100.000000 |
| 11953 | Finland | FIN | 2005 | 17.095000 | 100.000000 |
| 12217 | Finland | FIN | 2006 | 16.963000 | 100.000000 |
| 12481 | Finland | FIN | 2007 | 16.832000 | 100.000000 |
| 12745 | Finland | FIN | 2008 | 16.701000 | 100.000000 |
| 13009 | Finland | FIN | 2009 | 16.571000 | 100.000000 |
| 13273 | Finland | FIN | 2010 | 16.442000 | 100.000000 |
| 13537 | Finland | FIN | 2011 | 16.312000 | 100.000000 |
| 13801 | Finland | FIN | 2012 | 16.181000 | 100.000000 |
| 14065 | Finland | FIN | 2013 | 16.048000 | 100.000000 |
| 14329 | Finland | FIN | 2014 | 15.914000 | 100.000000 |
| 14593 | Finland | FIN | 2015 | 15.779000 | 100.000000 |
| 14857 | Finland | FIN | 2016 | 15.642000 | 100.000000 |
| 15121 | Finland | FIN | 2017 | 15.505000 | NaN |
| 72 | Fragile and conflict affected situations | FCS | 1960 | 82.738596 | NaN |
| 336 | Fragile and conflict affected situations | FCS | 1961 | 82.254378 | NaN |
| 600 | Fragile and conflict affected situations | FCS | 1962 | 81.751849 | NaN |
| 864 | Fragile and conflict affected situations | FCS | 1963 | 81.228192 | NaN |
| 1128 | Fragile and conflict affected situations | FCS | 1964 | 80.688082 | NaN |
| 1392 | Fragile and conflict affected situations | FCS | 1965 | 80.108964 | NaN |
| 1656 | Fragile and conflict affected situations | FCS | 1966 | 79.560039 | NaN |
| 1920 | Fragile and conflict affected situations | FCS | 1967 | 79.002383 | NaN |
| 2184 | Fragile and conflict affected situations | FCS | 1968 | 78.431532 | NaN |
| 2448 | Fragile and conflict affected situations | FCS | 1969 | 77.847946 | NaN |
| 2712 | Fragile and conflict affected situations | FCS | 1970 | 77.256678 | NaN |
| 2976 | Fragile and conflict affected situations | FCS | 1971 | 76.677742 | NaN |
| 3240 | Fragile and conflict affected situations | FCS | 1972 | 76.113805 | NaN |
| 3504 | Fragile and conflict affected situations | FCS | 1973 | 75.572161 | NaN |
| 3768 | Fragile and conflict affected situations | FCS | 1974 | 75.126820 | NaN |
| 4032 | Fragile and conflict affected situations | FCS | 1975 | 74.683303 | NaN |
| 4296 | Fragile and conflict affected situations | FCS | 1976 | 74.230577 | NaN |
| 4560 | Fragile and conflict affected situations | FCS | 1977 | 73.780211 | NaN |
| 4824 | Fragile and conflict affected situations | FCS | 1978 | 73.339703 | NaN |
| 5088 | Fragile and conflict affected situations | FCS | 1979 | 72.966263 | NaN |
| 5352 | Fragile and conflict affected situations | FCS | 1980 | 72.599205 | NaN |
| 5616 | Fragile and conflict affected situations | FCS | 1981 | 72.220723 | NaN |
| 5880 | Fragile and conflict affected situations | FCS | 1982 | 71.838380 | NaN |
| 6144 | Fragile and conflict affected situations | FCS | 1983 | 71.400200 | NaN |
| 6408 | Fragile and conflict affected situations | FCS | 1984 | 70.902448 | NaN |
| 6672 | Fragile and conflict affected situations | FCS | 1985 | 70.392922 | NaN |
| 6936 | Fragile and conflict affected situations | FCS | 1986 | 69.880109 | NaN |
| 7200 | Fragile and conflict affected situations | FCS | 1987 | 69.360765 | NaN |
| 7464 | Fragile and conflict affected situations | FCS | 1988 | 68.877528 | NaN |
| 7728 | Fragile and conflict affected situations | FCS | 1989 | 68.412056 | NaN |
| 7992 | Fragile and conflict affected situations | FCS | 1990 | 67.669131 | 28.374331 |
| 8256 | Fragile and conflict affected situations | FCS | 1991 | 67.250796 | 28.406936 |
| 8520 | Fragile and conflict affected situations | FCS | 1992 | 66.872276 | 29.061209 |
| 8784 | Fragile and conflict affected situations | FCS | 1993 | 66.538254 | 29.458718 |
| 9048 | Fragile and conflict affected situations | FCS | 1994 | 66.286330 | 29.616913 |
| 9312 | Fragile and conflict affected situations | FCS | 1995 | 66.017309 | 30.681895 |
| 9576 | Fragile and conflict affected situations | FCS | 1996 | 65.736865 | 31.436111 |
| 9840 | Fragile and conflict affected situations | FCS | 1997 | 65.423381 | 32.011944 |
| 10104 | Fragile and conflict affected situations | FCS | 1998 | 65.115435 | 32.699337 |
| 10368 | Fragile and conflict affected situations | FCS | 1999 | 64.793736 | 33.510466 |
| 10632 | Fragile and conflict affected situations | FCS | 2000 | 64.470121 | 33.294430 |
| 10896 | Fragile and conflict affected situations | FCS | 2001 | 64.123477 | 34.289497 |
| 11160 | Fragile and conflict affected situations | FCS | 2002 | 63.779069 | 35.352082 |
| 11424 | Fragile and conflict affected situations | FCS | 2003 | 63.452313 | 36.036658 |
| 11688 | Fragile and conflict affected situations | FCS | 2004 | 63.122208 | 36.733697 |
| 11952 | Fragile and conflict affected situations | FCS | 2005 | 62.783838 | 37.688026 |
| 12216 | Fragile and conflict affected situations | FCS | 2006 | 62.435811 | 39.307180 |
| 12480 | Fragile and conflict affected situations | FCS | 2007 | 62.075164 | 40.467219 |
| 12744 | Fragile and conflict affected situations | FCS | 2008 | 61.707645 | 40.904300 |
| 13008 | Fragile and conflict affected situations | FCS | 2009 | 61.335813 | 41.449872 |
| 13272 | Fragile and conflict affected situations | FCS | 2010 | 60.962835 | 41.234176 |
| 13536 | Fragile and conflict affected situations | FCS | 2011 | 60.588350 | 43.014512 |
| 13800 | Fragile and conflict affected situations | FCS | 2012 | 60.212276 | 45.154847 |
| 14064 | Fragile and conflict affected situations | FCS | 2013 | 59.834731 | 46.297812 |
| 14328 | Fragile and conflict affected situations | FCS | 2014 | 59.454179 | 47.564743 |
| 14592 | Fragile and conflict affected situations | FCS | 2015 | 59.070105 | 48.013200 |
| 14856 | Fragile and conflict affected situations | FCS | 2016 | 58.682610 | 48.893286 |
| 15120 | Fragile and conflict affected situations | FCS | 2017 | 58.291447 | NaN |
| 75 | France | FRA | 1960 | 38.120000 | NaN |
| 339 | France | FRA | 1961 | 37.393000 | NaN |
| 603 | France | FRA | 1962 | 36.511000 | NaN |
| 867 | France | FRA | 1963 | 35.298000 | NaN |
| 1131 | France | FRA | 1964 | 34.102000 | NaN |
| 1395 | France | FRA | 1965 | 32.929000 | NaN |
| 1659 | France | FRA | 1966 | 31.775000 | NaN |
| 1923 | France | FRA | 1967 | 30.643000 | NaN |
| 2187 | France | FRA | 1968 | 29.762000 | NaN |
| 2451 | France | FRA | 1969 | 29.352000 | NaN |
| 2715 | France | FRA | 1970 | 28.945000 | NaN |
| 2979 | France | FRA | 1971 | 28.541000 | NaN |
| 3243 | France | FRA | 1972 | 28.140000 | NaN |
| 3507 | France | FRA | 1973 | 27.744000 | NaN |
| 3771 | France | FRA | 1974 | 27.350000 | NaN |
| 4035 | France | FRA | 1975 | 27.074000 | NaN |
| 4299 | France | FRA | 1976 | 27.003000 | NaN |
| 4563 | France | FRA | 1977 | 26.932000 | NaN |
| 4827 | France | FRA | 1978 | 26.860000 | NaN |
| 5091 | France | FRA | 1979 | 26.789000 | NaN |
| 5355 | France | FRA | 1980 | 26.718000 | NaN |
| 5619 | France | FRA | 1981 | 26.648000 | NaN |
| 5883 | France | FRA | 1982 | 26.575000 | NaN |
| 6147 | France | FRA | 1983 | 26.500000 | NaN |
| 6411 | France | FRA | 1984 | 26.425000 | NaN |
| 6675 | France | FRA | 1985 | 26.350000 | NaN |
| 6939 | France | FRA | 1986 | 26.275000 | NaN |
| 7203 | France | FRA | 1987 | 26.200000 | NaN |
| 7467 | France | FRA | 1988 | 26.125000 | NaN |
| 7731 | France | FRA | 1989 | 26.050000 | NaN |
| 7995 | France | FRA | 1990 | 25.944000 | 100.000000 |
| 8259 | France | FRA | 1991 | 25.771000 | 100.000000 |
| 8523 | France | FRA | 1992 | 25.599000 | 100.000000 |
| 8787 | France | FRA | 1993 | 25.428000 | 100.000000 |
| 9051 | France | FRA | 1994 | 25.257000 | 100.000000 |
| 9315 | France | FRA | 1995 | 25.088000 | 100.000000 |
| 9579 | France | FRA | 1996 | 24.918000 | 100.000000 |
| 9843 | France | FRA | 1997 | 24.750000 | 100.000000 |
| 10107 | France | FRA | 1998 | 24.583000 | 100.000000 |
| 10371 | France | FRA | 1999 | 24.386000 | 100.000000 |
| 10635 | France | FRA | 2000 | 24.129000 | 100.000000 |
| 10899 | France | FRA | 2001 | 23.873000 | 100.000000 |
| 11163 | France | FRA | 2002 | 23.620000 | 100.000000 |
| 11427 | France | FRA | 2003 | 23.368000 | 100.000000 |
| 11691 | France | FRA | 2004 | 23.117000 | 100.000000 |
| 11955 | France | FRA | 2005 | 22.870000 | 100.000000 |
| 12219 | France | FRA | 2006 | 22.623000 | 100.000000 |
| 12483 | France | FRA | 2007 | 22.379000 | 100.000000 |
| 12747 | France | FRA | 2008 | 22.136000 | 100.000000 |
| 13011 | France | FRA | 2009 | 21.894000 | 100.000000 |
| 13275 | France | FRA | 2010 | 21.655000 | 100.000000 |
| 13539 | France | FRA | 2011 | 21.416000 | 100.000000 |
| 13803 | France | FRA | 2012 | 21.180000 | 100.000000 |
| 14067 | France | FRA | 2013 | 20.945000 | 100.000000 |
| 14331 | France | FRA | 2014 | 20.711000 | 100.000000 |
| 14595 | France | FRA | 2015 | 20.480000 | 100.000000 |
| 14859 | France | FRA | 2016 | 20.250000 | 100.000000 |
| 15123 | France | FRA | 2017 | 20.022000 | NaN |
| 197 | French Polynesia | PYF | 1960 | 57.719000 | NaN |
| 461 | French Polynesia | PYF | 1961 | 56.783000 | NaN |
| 725 | French Polynesia | PYF | 1962 | 55.840000 | NaN |
| 989 | French Polynesia | PYF | 1963 | 54.611000 | NaN |
| 1253 | French Polynesia | PYF | 1964 | 53.217000 | NaN |
| 1517 | French Polynesia | PYF | 1965 | 51.822000 | NaN |
| 1781 | French Polynesia | PYF | 1966 | 50.422000 | NaN |
| 2045 | French Polynesia | PYF | 1967 | 49.021000 | NaN |
| 2309 | French Polynesia | PYF | 1968 | 47.620000 | NaN |
| 2573 | French Polynesia | PYF | 1969 | 46.227000 | NaN |
| 2837 | French Polynesia | PYF | 1970 | 44.838000 | NaN |
| 3101 | French Polynesia | PYF | 1971 | 43.797000 | NaN |
| 3365 | French Polynesia | PYF | 1972 | 43.282000 | NaN |
| 3629 | French Polynesia | PYF | 1973 | 42.769000 | NaN |
| 3893 | French Polynesia | PYF | 1974 | 42.258000 | NaN |
| 4157 | French Polynesia | PYF | 1975 | 41.748000 | NaN |
| 4421 | French Polynesia | PYF | 1976 | 41.240000 | NaN |
| 4685 | French Polynesia | PYF | 1977 | 40.829000 | NaN |
| 4949 | French Polynesia | PYF | 1978 | 40.885000 | NaN |
| 5213 | French Polynesia | PYF | 1979 | 40.941000 | NaN |
| 5477 | French Polynesia | PYF | 1980 | 40.997000 | NaN |
| 5741 | French Polynesia | PYF | 1981 | 41.052000 | NaN |
| 6005 | French Polynesia | PYF | 1982 | 41.108000 | NaN |
| 6269 | French Polynesia | PYF | 1983 | 41.164000 | NaN |
| 6533 | French Polynesia | PYF | 1984 | 41.255000 | NaN |
| 6797 | French Polynesia | PYF | 1985 | 41.361000 | NaN |
| 7061 | French Polynesia | PYF | 1986 | 41.468000 | NaN |
| 7325 | French Polynesia | PYF | 1987 | 41.574000 | NaN |
| 7589 | French Polynesia | PYF | 1988 | 41.680000 | NaN |
| 7853 | French Polynesia | PYF | 1989 | 41.897000 | NaN |
| 8117 | French Polynesia | PYF | 1990 | 42.140000 | 100.000000 |
| 8381 | French Polynesia | PYF | 1991 | 42.384000 | 100.000000 |
| 8645 | French Polynesia | PYF | 1992 | 42.628000 | 100.000000 |
| 8909 | French Polynesia | PYF | 1993 | 42.872000 | 100.000000 |
| 9173 | French Polynesia | PYF | 1994 | 43.117000 | 100.000000 |
| 9437 | French Polynesia | PYF | 1995 | 43.362000 | 100.000000 |
| 9701 | French Polynesia | PYF | 1996 | 43.607000 | 100.000000 |
| 9965 | French Polynesia | PYF | 1997 | 43.710000 | 100.000000 |
| 10229 | French Polynesia | PYF | 1998 | 43.783000 | 100.000000 |
| 10493 | French Polynesia | PYF | 1999 | 43.856000 | 100.000000 |
| 10757 | French Polynesia | PYF | 2000 | 43.929000 | 100.000000 |
| 11021 | French Polynesia | PYF | 2001 | 44.001000 | 100.000000 |
| 11285 | French Polynesia | PYF | 2002 | 44.074000 | 100.000000 |
| 11549 | French Polynesia | PYF | 2003 | 43.971000 | 100.000000 |
| 11813 | French Polynesia | PYF | 2004 | 43.772000 | 100.000000 |
| 12077 | French Polynesia | PYF | 2005 | 43.574000 | 100.000000 |
| 12341 | French Polynesia | PYF | 2006 | 43.375000 | 100.000000 |
| 12605 | French Polynesia | PYF | 2007 | 43.177000 | 100.000000 |
| 12869 | French Polynesia | PYF | 2008 | 43.262000 | 100.000000 |
| 13133 | French Polynesia | PYF | 2009 | 43.392000 | 100.000000 |
| 13397 | French Polynesia | PYF | 2010 | 43.521000 | 100.000000 |
| 13661 | French Polynesia | PYF | 2011 | 43.651000 | 100.000000 |
| 13925 | French Polynesia | PYF | 2012 | 43.782000 | 100.000000 |
| 14189 | French Polynesia | PYF | 2013 | 43.911000 | 100.000000 |
| 14453 | French Polynesia | PYF | 2014 | 44.024000 | 100.000000 |
| 14717 | French Polynesia | PYF | 2015 | 44.120000 | 100.000000 |
| 14981 | French Polynesia | PYF | 2016 | 44.198000 | 100.000000 |
| 15245 | French Polynesia | PYF | 2017 | 44.259000 | NaN |
| 78 | Gabon | GAB | 1960 | 82.602000 | NaN |
| 342 | Gabon | GAB | 1961 | 81.670000 | NaN |
| 606 | Gabon | GAB | 1962 | 80.406000 | NaN |
| 870 | Gabon | GAB | 1963 | 79.077000 | NaN |
| 1134 | Gabon | GAB | 1964 | 77.682000 | NaN |
| 1398 | Gabon | GAB | 1965 | 76.225000 | NaN |
| 1662 | Gabon | GAB | 1966 | 74.703000 | NaN |
| 1926 | Gabon | GAB | 1967 | 73.117000 | NaN |
| 2190 | Gabon | GAB | 1968 | 71.467000 | NaN |
| 2454 | Gabon | GAB | 1969 | 69.763000 | NaN |
| 2718 | Gabon | GAB | 1970 | 68.000000 | NaN |
| 2982 | Gabon | GAB | 1971 | 65.918000 | NaN |
| 3246 | Gabon | GAB | 1972 | 63.769000 | NaN |
| 3510 | Gabon | GAB | 1973 | 61.570000 | NaN |
| 3774 | Gabon | GAB | 1974 | 59.319000 | NaN |
| 4038 | Gabon | GAB | 1975 | 57.029000 | NaN |
| 4302 | Gabon | GAB | 1976 | 54.705000 | NaN |
| 4566 | Gabon | GAB | 1977 | 52.367000 | NaN |
| 4830 | Gabon | GAB | 1978 | 50.015000 | NaN |
| 5094 | Gabon | GAB | 1979 | 47.663000 | NaN |
| 5358 | Gabon | GAB | 1980 | 45.318000 | NaN |
| 5622 | Gabon | GAB | 1981 | 43.000000 | NaN |
| 5886 | Gabon | GAB | 1982 | 41.628000 | NaN |
| 6150 | Gabon | GAB | 1983 | 40.270000 | NaN |
| 6414 | Gabon | GAB | 1984 | 38.924000 | NaN |
| 6678 | Gabon | GAB | 1985 | 37.598000 | NaN |
| 6942 | Gabon | GAB | 1986 | 36.289000 | NaN |
| 7206 | Gabon | GAB | 1987 | 35.000000 | NaN |
| 7470 | Gabon | GAB | 1988 | 33.588000 | NaN |
| 7734 | Gabon | GAB | 1989 | 32.208000 | NaN |
| 7998 | Gabon | GAB | 1990 | 30.857000 | 64.612885 |
| 8262 | Gabon | GAB | 1991 | 29.538000 | 65.704445 |
| 8526 | Gabon | GAB | 1992 | 28.251000 | 66.795502 |
| 8790 | Gabon | GAB | 1993 | 27.001000 | 67.883499 |
| 9054 | Gabon | GAB | 1994 | 25.786000 | 68.965370 |
| 9318 | Gabon | GAB | 1995 | 24.642000 | 70.038071 |
| 9582 | Gabon | GAB | 1996 | 23.569000 | 71.098534 |
| 9846 | Gabon | GAB | 1997 | 22.563000 | 72.143700 |
| 10110 | Gabon | GAB | 1998 | 21.621000 | 73.170517 |
| 10374 | Gabon | GAB | 1999 | 20.740000 | 74.175919 |
| 10638 | Gabon | GAB | 2000 | 19.918000 | 73.600000 |
| 10902 | Gabon | GAB | 2001 | 19.150000 | 76.122398 |
| 11166 | Gabon | GAB | 2002 | 18.435000 | 77.074089 |
| 11430 | Gabon | GAB | 2003 | 17.770000 | 78.019493 |
| 11694 | Gabon | GAB | 2004 | 17.153000 | 78.964684 |
| 11958 | Gabon | GAB | 2005 | 16.579000 | 81.600000 |
| 12222 | Gabon | GAB | 2006 | 16.048000 | 80.878639 |
| 12486 | Gabon | GAB | 2007 | 15.557000 | 81.859543 |
| 12750 | Gabon | GAB | 2008 | 15.104000 | 82.862961 |
| 13014 | Gabon | GAB | 2009 | 14.687000 | 83.887413 |
| 13278 | Gabon | GAB | 2010 | 14.303000 | 84.929886 |
| 13542 | Gabon | GAB | 2011 | 13.953000 | 85.987381 |
| 13806 | Gabon | GAB | 2012 | 13.633000 | 89.300000 |
| 14070 | Gabon | GAB | 2013 | 13.342000 | 86.400000 |
| 14334 | Gabon | GAB | 2014 | 13.080000 | 89.219940 |
| 14598 | Gabon | GAB | 2015 | 12.844000 | 90.307472 |
| 14862 | Gabon | GAB | 2016 | 12.634000 | 91.395500 |
| 15126 | Gabon | GAB | 2017 | 12.450000 | NaN |
| 84 | Gambia, The | GMB | 1960 | 87.871000 | NaN |
| 348 | Gambia, The | GMB | 1961 | 87.669000 | NaN |
| 612 | Gambia, The | GMB | 1962 | 87.465000 | NaN |
| 876 | Gambia, The | GMB | 1963 | 87.138000 | NaN |
| 1140 | Gambia, The | GMB | 1964 | 86.323000 | NaN |
| 1404 | Gambia, The | GMB | 1965 | 85.467000 | NaN |
| 1668 | Gambia, The | GMB | 1966 | 84.567000 | NaN |
| 1932 | Gambia, The | GMB | 1967 | 83.621000 | NaN |
| 2196 | Gambia, The | GMB | 1968 | 82.627000 | NaN |
| 2460 | Gambia, The | GMB | 1969 | 81.590000 | NaN |
| 2724 | Gambia, The | GMB | 1970 | 80.504000 | NaN |
| 2988 | Gambia, The | GMB | 1971 | 79.370000 | NaN |
| 3252 | Gambia, The | GMB | 1972 | 78.186000 | NaN |
| 3516 | Gambia, The | GMB | 1973 | 77.059000 | NaN |
| 3780 | Gambia, The | GMB | 1974 | 76.325000 | NaN |
| 4044 | Gambia, The | GMB | 1975 | 75.574000 | NaN |
| 4308 | Gambia, The | GMB | 1976 | 74.807000 | NaN |
| 4572 | Gambia, The | GMB | 1977 | 74.026000 | NaN |
| 4836 | Gambia, The | GMB | 1978 | 73.228000 | NaN |
| 5100 | Gambia, The | GMB | 1979 | 72.415000 | NaN |
| 5364 | Gambia, The | GMB | 1980 | 71.586000 | NaN |
| 5628 | Gambia, The | GMB | 1981 | 70.744000 | NaN |
| 5892 | Gambia, The | GMB | 1982 | 69.887000 | NaN |
| 6156 | Gambia, The | GMB | 1983 | 68.992000 | NaN |
| 6420 | Gambia, The | GMB | 1984 | 67.993000 | NaN |
| 6684 | Gambia, The | GMB | 1985 | 66.981000 | NaN |
| 6948 | Gambia, The | GMB | 1986 | 65.951000 | NaN |
| 7212 | Gambia, The | GMB | 1987 | 64.906000 | NaN |
| 7476 | Gambia, The | GMB | 1988 | 63.845000 | NaN |
| 7740 | Gambia, The | GMB | 1989 | 62.774000 | NaN |
| 8004 | Gambia, The | GMB | 1990 | 61.688000 | 16.232353 |
| 8268 | Gambia, The | GMB | 1991 | 60.590000 | 17.506306 |
| 8532 | Gambia, The | GMB | 1992 | 59.480000 | 18.779749 |
| 8796 | Gambia, The | GMB | 1993 | 58.414000 | 17.700000 |
| 9060 | Gambia, The | GMB | 1994 | 57.528000 | 21.314400 |
| 9324 | Gambia, The | GMB | 1995 | 56.638000 | 22.569487 |
| 9588 | Gambia, The | GMB | 1996 | 55.742000 | 23.812340 |
| 9852 | Gambia, The | GMB | 1997 | 54.845000 | 25.039896 |
| 10116 | Gambia, The | GMB | 1998 | 53.943000 | 26.249098 |
| 10380 | Gambia, The | GMB | 1999 | 53.039000 | 27.436886 |
| 10644 | Gambia, The | GMB | 2000 | 52.132000 | 34.300000 |
| 10908 | Gambia, The | GMB | 2001 | 51.225000 | 29.748146 |
| 11172 | Gambia, The | GMB | 2002 | 50.317000 | 30.882225 |
| 11436 | Gambia, The | GMB | 2003 | 49.408000 | 32.010021 |
| 11700 | Gambia, The | GMB | 2004 | 48.521000 | 33.137596 |
| 11964 | Gambia, The | GMB | 2005 | 47.658000 | 30.456268 |
| 12228 | Gambia, The | GMB | 2006 | 46.818000 | 35.416336 |
| 12492 | Gambia, The | GMB | 2007 | 46.003000 | 36.579624 |
| 12756 | Gambia, The | GMB | 2008 | 45.211000 | 37.765438 |
| 13020 | Gambia, The | GMB | 2009 | 44.445000 | 38.972275 |
| 13284 | Gambia, The | GMB | 2010 | 43.703000 | 40.197136 |
| 13548 | Gambia, The | GMB | 2011 | 42.986000 | 41.437019 |
| 13812 | Gambia, The | GMB | 2012 | 42.294000 | 42.688915 |
| 14076 | Gambia, The | GMB | 2013 | 41.627000 | 44.500000 |
| 14340 | Gambia, The | GMB | 2014 | 40.985000 | 45.216743 |
| 14604 | Gambia, The | GMB | 2015 | 40.368000 | 46.486664 |
| 14868 | Gambia, The | GMB | 2016 | 39.776000 | 47.757088 |
| 15132 | Gambia, The | GMB | 2017 | 39.210000 | NaN |
| 80 | Georgia | GEO | 1960 | 56.931000 | NaN |
| 344 | Georgia | GEO | 1961 | 56.441000 | NaN |
| 608 | Georgia | GEO | 1962 | 55.949000 | NaN |
| 872 | Georgia | GEO | 1963 | 55.456000 | NaN |
| 1136 | Georgia | GEO | 1964 | 54.961000 | NaN |
| 1400 | Georgia | GEO | 1965 | 54.466000 | NaN |
| 1664 | Georgia | GEO | 1966 | 53.970000 | NaN |
| 1928 | Georgia | GEO | 1967 | 53.473000 | NaN |
| 2192 | Georgia | GEO | 1968 | 52.975000 | NaN |
| 2456 | Georgia | GEO | 1969 | 52.478000 | NaN |
| 2720 | Georgia | GEO | 1970 | 51.994000 | NaN |
| 2984 | Georgia | GEO | 1971 | 51.526000 | NaN |
| 3248 | Georgia | GEO | 1972 | 51.058000 | NaN |
| 3512 | Georgia | GEO | 1973 | 50.591000 | NaN |
| 3776 | Georgia | GEO | 1974 | 50.124000 | NaN |
| 4040 | Georgia | GEO | 1975 | 49.656000 | NaN |
| 4304 | Georgia | GEO | 1976 | 49.188000 | NaN |
| 4568 | Georgia | GEO | 1977 | 48.721000 | NaN |
| 4832 | Georgia | GEO | 1978 | 48.253000 | NaN |
| 5096 | Georgia | GEO | 1979 | 47.844000 | NaN |
| 5360 | Georgia | GEO | 1980 | 47.503000 | NaN |
| 5624 | Georgia | GEO | 1981 | 47.164000 | NaN |
| 5888 | Georgia | GEO | 1982 | 46.824000 | NaN |
| 6152 | Georgia | GEO | 1983 | 46.484000 | NaN |
| 6416 | Georgia | GEO | 1984 | 46.145000 | NaN |
| 6680 | Georgia | GEO | 1985 | 45.806000 | NaN |
| 6944 | Georgia | GEO | 1986 | 45.468000 | NaN |
| 7208 | Georgia | GEO | 1987 | 45.130000 | NaN |
| 7472 | Georgia | GEO | 1988 | 44.792000 | NaN |
| 7736 | Georgia | GEO | 1989 | 44.723000 | NaN |
| 8000 | Georgia | GEO | 1990 | 44.962000 | 97.334015 |
| 8264 | Georgia | GEO | 1991 | 45.201000 | 97.517250 |
| 8528 | Georgia | GEO | 1992 | 45.441000 | 97.699966 |
| 8792 | Georgia | GEO | 1993 | 45.680000 | 97.879631 |
| 9056 | Georgia | GEO | 1994 | 45.920000 | 98.046295 |
| 9320 | Georgia | GEO | 1995 | 46.159000 | 98.208366 |
| 9584 | Georgia | GEO | 1996 | 46.400000 | 98.358200 |
| 9848 | Georgia | GEO | 1997 | 46.640000 | 98.492767 |
| 10112 | Georgia | GEO | 1998 | 46.880000 | 98.609261 |
| 10376 | Georgia | GEO | 1999 | 47.121000 | 98.705841 |
| 10640 | Georgia | GEO | 2000 | 47.362000 | 98.782692 |
| 10904 | Georgia | GEO | 2001 | 47.602000 | 98.842636 |
| 11168 | Georgia | GEO | 2002 | 47.707000 | 99.900000 |
| 11432 | Georgia | GEO | 2003 | 47.648000 | 98.932137 |
| 11696 | Georgia | GEO | 2004 | 47.589000 | 98.973541 |
| 11960 | Georgia | GEO | 2005 | 47.530000 | 97.935054 |
| 12224 | Georgia | GEO | 2006 | 47.475000 | 99.079605 |
| 12488 | Georgia | GEO | 2007 | 47.425000 | 99.154922 |
| 12752 | Georgia | GEO | 2008 | 47.375000 | 99.249557 |
| 13016 | Georgia | GEO | 2009 | 47.277000 | 99.363731 |
| 13280 | Georgia | GEO | 2010 | 47.131000 | 99.495636 |
| 13544 | Georgia | GEO | 2011 | 46.984000 | 99.640335 |
| 13808 | Georgia | GEO | 2012 | 46.838000 | 100.000000 |
| 14072 | Georgia | GEO | 2013 | 46.691000 | 99.898499 |
| 14336 | Georgia | GEO | 2014 | 46.532000 | 100.000000 |
| 14600 | Georgia | GEO | 2015 | 46.359000 | 99.993500 |
| 14864 | Georgia | GEO | 2016 | 46.174000 | 100.000000 |
| 15128 | Georgia | GEO | 2017 | 45.975000 | NaN |
| 53 | Germany | DEU | 1960 | 28.616000 | NaN |
| 317 | Germany | DEU | 1961 | 28.303000 | NaN |
| 581 | Germany | DEU | 1962 | 28.238000 | NaN |
| 845 | Germany | DEU | 1963 | 28.174000 | NaN |
| 1109 | Germany | DEU | 1964 | 28.109000 | NaN |
| 1373 | Germany | DEU | 1965 | 28.045000 | NaN |
| 1637 | Germany | DEU | 1966 | 27.981000 | NaN |
| 1901 | Germany | DEU | 1967 | 27.917000 | NaN |
| 2165 | Germany | DEU | 1968 | 27.853000 | NaN |
| 2429 | Germany | DEU | 1969 | 27.789000 | NaN |
| 2693 | Germany | DEU | 1970 | 27.726000 | NaN |
| 2957 | Germany | DEU | 1971 | 27.668000 | NaN |
| 3221 | Germany | DEU | 1972 | 27.611000 | NaN |
| 3485 | Germany | DEU | 1973 | 27.554000 | NaN |
| 3749 | Germany | DEU | 1974 | 27.497000 | NaN |
| 4013 | Germany | DEU | 1975 | 27.440000 | NaN |
| 4277 | Germany | DEU | 1976 | 27.383000 | NaN |
| 4541 | Germany | DEU | 1977 | 27.326000 | NaN |
| 4805 | Germany | DEU | 1978 | 27.270000 | NaN |
| 5069 | Germany | DEU | 1979 | 27.213000 | NaN |
| 5333 | Germany | DEU | 1980 | 27.156000 | NaN |
| 5597 | Germany | DEU | 1981 | 27.011000 | NaN |
| 5861 | Germany | DEU | 1982 | 26.893000 | NaN |
| 6125 | Germany | DEU | 1983 | 26.897000 | NaN |
| 6389 | Germany | DEU | 1984 | 27.057000 | NaN |
| 6653 | Germany | DEU | 1985 | 27.289000 | NaN |
| 6917 | Germany | DEU | 1986 | 27.383000 | NaN |
| 7181 | Germany | DEU | 1987 | 27.795000 | NaN |
| 7445 | Germany | DEU | 1988 | 27.001000 | NaN |
| 7709 | Germany | DEU | 1989 | 27.024000 | NaN |
| 7973 | Germany | DEU | 1990 | 26.882000 | 100.000000 |
| 8237 | Germany | DEU | 1991 | 26.731000 | 100.000000 |
| 8501 | Germany | DEU | 1992 | 26.640000 | 100.000000 |
| 8765 | Germany | DEU | 1993 | 26.619000 | 100.000000 |
| 9029 | Germany | DEU | 1994 | 26.657000 | 100.000000 |
| 9293 | Germany | DEU | 1995 | 26.714000 | NaN |
| 9557 | Germany | DEU | 1996 | 26.768000 | 100.000000 |
| 9821 | Germany | DEU | 1997 | 26.830000 | 100.000000 |
| 10085 | Germany | DEU | 1998 | 26.896000 | 100.000000 |
| 10349 | Germany | DEU | 1999 | 26.936000 | 100.000000 |
| 10613 | Germany | DEU | 2000 | 26.933000 | 100.000000 |
| 10877 | Germany | DEU | 2001 | 26.887000 | 100.000000 |
| 11141 | Germany | DEU | 2002 | 26.826000 | 100.000000 |
| 11405 | Germany | DEU | 2003 | 26.767000 | 100.000000 |
| 11669 | Germany | DEU | 2004 | 26.711000 | 100.000000 |
| 11933 | Germany | DEU | 2005 | 26.645000 | 100.000000 |
| 12197 | Germany | DEU | 2006 | 26.506000 | 100.000000 |
| 12461 | Germany | DEU | 2007 | 26.305000 | 100.000000 |
| 12725 | Germany | DEU | 2008 | 26.105000 | 100.000000 |
| 12989 | Germany | DEU | 2009 | 25.907000 | 100.000000 |
| 13253 | Germany | DEU | 2010 | 25.709000 | 100.000000 |
| 13517 | Germany | DEU | 2011 | 25.512000 | 100.000000 |
| 13781 | Germany | DEU | 2012 | 25.312000 | 100.000000 |
| 14045 | Germany | DEU | 2013 | 25.110000 | 100.000000 |
| 14309 | Germany | DEU | 2014 | 24.906000 | 100.000000 |
| 14573 | Germany | DEU | 2015 | 24.699000 | 100.000000 |
| 14837 | Germany | DEU | 2016 | 24.490000 | 100.000000 |
| 15101 | Germany | DEU | 2017 | 24.279000 | NaN |
| 81 | Ghana | GHA | 1960 | 76.748000 | NaN |
| 345 | Ghana | GHA | 1961 | 76.203000 | NaN |
| 609 | Ghana | GHA | 1962 | 75.648000 | NaN |
| 873 | Ghana | GHA | 1963 | 75.085000 | NaN |
| 1137 | Ghana | GHA | 1964 | 74.512000 | NaN |
| 1401 | Ghana | GHA | 1965 | 73.933000 | NaN |
| 1665 | Ghana | GHA | 1966 | 73.344000 | NaN |
| 1929 | Ghana | GHA | 1967 | 72.746000 | NaN |
| 2193 | Ghana | GHA | 1968 | 72.140000 | NaN |
| 2457 | Ghana | GHA | 1969 | 71.527000 | NaN |
| 2721 | Ghana | GHA | 1970 | 71.042000 | NaN |
| 2985 | Ghana | GHA | 1971 | 70.826000 | NaN |
| 3249 | Ghana | GHA | 1972 | 70.608000 | NaN |
| 3513 | Ghana | GHA | 1973 | 70.390000 | NaN |
| 3777 | Ghana | GHA | 1974 | 70.171000 | NaN |
| 4041 | Ghana | GHA | 1975 | 69.951000 | NaN |
| 4305 | Ghana | GHA | 1976 | 69.730000 | NaN |
| 4569 | Ghana | GHA | 1977 | 69.508000 | NaN |
| 4833 | Ghana | GHA | 1978 | 69.286000 | NaN |
| 5097 | Ghana | GHA | 1979 | 69.062000 | NaN |
| 5361 | Ghana | GHA | 1980 | 68.837000 | NaN |
| 5625 | Ghana | GHA | 1981 | 68.612000 | NaN |
| 5889 | Ghana | GHA | 1982 | 68.386000 | NaN |
| 6153 | Ghana | GHA | 1983 | 68.158000 | NaN |
| 6417 | Ghana | GHA | 1984 | 67.791000 | NaN |
| 6681 | Ghana | GHA | 1985 | 67.104000 | NaN |
| 6945 | Ghana | GHA | 1986 | 66.409000 | NaN |
| 7209 | Ghana | GHA | 1987 | 65.707000 | NaN |
| 7473 | Ghana | GHA | 1988 | 64.996000 | NaN |
| 7737 | Ghana | GHA | 1989 | 64.281000 | NaN |
| 8001 | Ghana | GHA | 1990 | 63.559000 | 23.536263 |
| 8265 | Ghana | GHA | 1991 | 62.830000 | 25.687204 |
| 8529 | Ghana | GHA | 1992 | 62.095000 | 27.837635 |
| 8793 | Ghana | GHA | 1993 | 61.356000 | 30.600000 |
| 9057 | Ghana | GHA | 1994 | 60.610000 | 32.126259 |
| 9321 | Ghana | GHA | 1995 | 59.860000 | 34.258339 |
| 9585 | Ghana | GHA | 1996 | 59.104000 | 36.378178 |
| 9849 | Ghana | GHA | 1997 | 58.346000 | 38.482723 |
| 10113 | Ghana | GHA | 1998 | 57.582000 | 42.600000 |
| 10377 | Ghana | GHA | 1999 | 56.816000 | 42.633686 |
| 10641 | Ghana | GHA | 2000 | 56.071000 | 44.675510 |
| 10905 | Ghana | GHA | 2001 | 55.399000 | 46.698925 |
| 11169 | Ghana | GHA | 2002 | 54.725000 | 48.709991 |
| 11433 | Ghana | GHA | 2003 | 54.049000 | 48.300000 |
| 11697 | Ghana | GHA | 2004 | 53.370000 | 52.719337 |
| 11961 | Ghana | GHA | 2005 | 52.692000 | 54.729744 |
| 12225 | Ghana | GHA | 2006 | 52.012000 | 55.093450 |
| 12489 | Ghana | GHA | 2007 | 51.331000 | 58.792332 |
| 12753 | Ghana | GHA | 2008 | 50.649000 | 60.500000 |
| 13017 | Ghana | GHA | 2009 | 49.969000 | 62.938957 |
| 13281 | Ghana | GHA | 2010 | 49.287000 | 65.040810 |
| 13545 | Ghana | GHA | 2011 | 48.606000 | 64.062560 |
| 13809 | Ghana | GHA | 2012 | 47.931000 | 69.286560 |
| 14073 | Ghana | GHA | 2013 | 47.265000 | 70.700000 |
| 14337 | Ghana | GHA | 2014 | 46.608000 | 78.300000 |
| 14601 | Ghana | GHA | 2015 | 45.958000 | 75.715279 |
| 14865 | Ghana | GHA | 2016 | 45.318000 | 79.300000 |
| 15129 | Ghana | GHA | 2017 | 44.687000 | NaN |
| 82 | Gibraltar | GIB | 1960 | 0.000000 | NaN |
| 346 | Gibraltar | GIB | 1961 | 0.000000 | NaN |
| 610 | Gibraltar | GIB | 1962 | 0.000000 | NaN |
| 874 | Gibraltar | GIB | 1963 | 0.000000 | NaN |
| 1138 | Gibraltar | GIB | 1964 | 0.000000 | NaN |
| 1402 | Gibraltar | GIB | 1965 | 0.000000 | NaN |
| 1666 | Gibraltar | GIB | 1966 | 0.000000 | NaN |
| 1930 | Gibraltar | GIB | 1967 | 0.000000 | NaN |
| 2194 | Gibraltar | GIB | 1968 | 0.000000 | NaN |
| 2458 | Gibraltar | GIB | 1969 | 0.000000 | NaN |
| 2722 | Gibraltar | GIB | 1970 | 0.000000 | NaN |
| 2986 | Gibraltar | GIB | 1971 | 0.000000 | NaN |
| 3250 | Gibraltar | GIB | 1972 | 0.000000 | NaN |
| 3514 | Gibraltar | GIB | 1973 | 0.000000 | NaN |
| 3778 | Gibraltar | GIB | 1974 | 0.000000 | NaN |
| 4042 | Gibraltar | GIB | 1975 | 0.000000 | NaN |
| 4306 | Gibraltar | GIB | 1976 | 0.000000 | NaN |
| 4570 | Gibraltar | GIB | 1977 | 0.000000 | NaN |
| 4834 | Gibraltar | GIB | 1978 | 0.000000 | NaN |
| 5098 | Gibraltar | GIB | 1979 | 0.000000 | NaN |
| 5362 | Gibraltar | GIB | 1980 | 0.000000 | NaN |
| 5626 | Gibraltar | GIB | 1981 | 0.000000 | NaN |
| 5890 | Gibraltar | GIB | 1982 | 0.000000 | NaN |
| 6154 | Gibraltar | GIB | 1983 | 0.000000 | NaN |
| 6418 | Gibraltar | GIB | 1984 | 0.000000 | NaN |
| 6682 | Gibraltar | GIB | 1985 | 0.000000 | NaN |
| 6946 | Gibraltar | GIB | 1986 | 0.000000 | NaN |
| 7210 | Gibraltar | GIB | 1987 | 0.000000 | NaN |
| 7474 | Gibraltar | GIB | 1988 | 0.000000 | NaN |
| 7738 | Gibraltar | GIB | 1989 | 0.000000 | NaN |
| 8002 | Gibraltar | GIB | 1990 | 0.000000 | 100.000000 |
| 8266 | Gibraltar | GIB | 1991 | 0.000000 | 100.000000 |
| 8530 | Gibraltar | GIB | 1992 | 0.000000 | 100.000000 |
| 8794 | Gibraltar | GIB | 1993 | 0.000000 | 100.000000 |
| 9058 | Gibraltar | GIB | 1994 | 0.000000 | 100.000000 |
| 9322 | Gibraltar | GIB | 1995 | 0.000000 | 100.000000 |
| 9586 | Gibraltar | GIB | 1996 | 0.000000 | 100.000000 |
| 9850 | Gibraltar | GIB | 1997 | 0.000000 | 100.000000 |
| 10114 | Gibraltar | GIB | 1998 | 0.000000 | 100.000000 |
| 10378 | Gibraltar | GIB | 1999 | 0.000000 | 100.000000 |
| 10642 | Gibraltar | GIB | 2000 | 0.000000 | 100.000000 |
| 10906 | Gibraltar | GIB | 2001 | 0.000000 | 100.000000 |
| 11170 | Gibraltar | GIB | 2002 | 0.000000 | 100.000000 |
| 11434 | Gibraltar | GIB | 2003 | 0.000000 | 100.000000 |
| 11698 | Gibraltar | GIB | 2004 | 0.000000 | 100.000000 |
| 11962 | Gibraltar | GIB | 2005 | 0.000000 | 100.000000 |
| 12226 | Gibraltar | GIB | 2006 | 0.000000 | 100.000000 |
| 12490 | Gibraltar | GIB | 2007 | 0.000000 | 100.000000 |
| 12754 | Gibraltar | GIB | 2008 | 0.000000 | 100.000000 |
| 13018 | Gibraltar | GIB | 2009 | 0.000000 | 100.000000 |
| 13282 | Gibraltar | GIB | 2010 | 0.000000 | 100.000000 |
| 13546 | Gibraltar | GIB | 2011 | 0.000000 | 100.000000 |
| 13810 | Gibraltar | GIB | 2012 | 0.000000 | 100.000000 |
| 14074 | Gibraltar | GIB | 2013 | 0.000000 | 100.000000 |
| 14338 | Gibraltar | GIB | 2014 | 0.000000 | 100.000000 |
| 14602 | Gibraltar | GIB | 2015 | 0.000000 | 100.000000 |
| 14866 | Gibraltar | GIB | 2016 | 0.000000 | 100.000000 |
| 15130 | Gibraltar | GIB | 2017 | 0.000000 | NaN |
| 87 | Greece | GRC | 1960 | 44.064000 | NaN |
| 351 | Greece | GRC | 1961 | 43.547000 | NaN |
| 615 | Greece | GRC | 1962 | 42.660000 | NaN |
| 879 | Greece | GRC | 1963 | 41.778000 | NaN |
| 1143 | Greece | GRC | 1964 | 40.901000 | NaN |
| 1407 | Greece | GRC | 1965 | 40.031000 | NaN |
| 1671 | Greece | GRC | 1966 | 39.167000 | NaN |
| 1935 | Greece | GRC | 1967 | 38.309000 | NaN |
| 2199 | Greece | GRC | 1968 | 37.457000 | NaN |
| 2463 | Greece | GRC | 1969 | 36.615000 | NaN |
| 2727 | Greece | GRC | 1970 | 35.780000 | NaN |
| 2991 | Greece | GRC | 1971 | 35.049000 | NaN |
| 3255 | Greece | GRC | 1972 | 34.546000 | NaN |
| 3519 | Greece | GRC | 1973 | 34.048000 | NaN |
| 3783 | Greece | GRC | 1974 | 33.552000 | NaN |
| 4047 | Greece | GRC | 1975 | 33.060000 | NaN |
| 4311 | Greece | GRC | 1976 | 32.571000 | NaN |
| 4575 | Greece | GRC | 1977 | 32.088000 | NaN |
| 4839 | Greece | GRC | 1978 | 31.607000 | NaN |
| 5103 | Greece | GRC | 1979 | 31.130000 | NaN |
| 5367 | Greece | GRC | 1980 | 30.657000 | NaN |
| 5631 | Greece | GRC | 1981 | 30.254000 | NaN |
| 5895 | Greece | GRC | 1982 | 30.060000 | NaN |
| 6159 | Greece | GRC | 1983 | 29.866000 | NaN |
| 6423 | Greece | GRC | 1984 | 29.673000 | NaN |
| 6687 | Greece | GRC | 1985 | 29.482000 | NaN |
| 6951 | Greece | GRC | 1986 | 29.291000 | NaN |
| 7215 | Greece | GRC | 1987 | 29.100000 | NaN |
| 7479 | Greece | GRC | 1988 | 28.910000 | NaN |
| 7743 | Greece | GRC | 1989 | 28.721000 | NaN |
| 8007 | Greece | GRC | 1990 | 28.533000 | 100.000000 |
| 8271 | Greece | GRC | 1991 | 28.365000 | 100.000000 |
| 8535 | Greece | GRC | 1992 | 28.243000 | 100.000000 |
| 8799 | Greece | GRC | 1993 | 28.122000 | 100.000000 |
| 9063 | Greece | GRC | 1994 | 28.002000 | 100.000000 |
| 9327 | Greece | GRC | 1995 | 27.881000 | 100.000000 |
| 9591 | Greece | GRC | 1996 | 27.761000 | 100.000000 |
| 9855 | Greece | GRC | 1997 | 27.642000 | 100.000000 |
| 10119 | Greece | GRC | 1998 | 27.522000 | 100.000000 |
| 10383 | Greece | GRC | 1999 | 27.403000 | 100.000000 |
| 10647 | Greece | GRC | 2000 | 27.284000 | 100.000000 |
| 10911 | Greece | GRC | 2001 | 27.087000 | 100.000000 |
| 11175 | Greece | GRC | 2002 | 26.697000 | 100.000000 |
| 11439 | Greece | GRC | 2003 | 26.311000 | 100.000000 |
| 11703 | Greece | GRC | 2004 | 25.927000 | 100.000000 |
| 11967 | Greece | GRC | 2005 | 25.548000 | 100.000000 |
| 12231 | Greece | GRC | 2006 | 25.173000 | 100.000000 |
| 12495 | Greece | GRC | 2007 | 24.801000 | 100.000000 |
| 12759 | Greece | GRC | 2008 | 24.432000 | 100.000000 |
| 13023 | Greece | GRC | 2009 | 24.068000 | 100.000000 |
| 13287 | Greece | GRC | 2010 | 23.708000 | 100.000000 |
| 13551 | Greece | GRC | 2011 | 23.351000 | 100.000000 |
| 13815 | Greece | GRC | 2012 | 23.000000 | 100.000000 |
| 14079 | Greece | GRC | 2013 | 22.657000 | 100.000000 |
| 14343 | Greece | GRC | 2014 | 22.322000 | 100.000000 |
| 14607 | Greece | GRC | 2015 | 21.993000 | 100.000000 |
| 14871 | Greece | GRC | 2016 | 21.671000 | 100.000000 |
| 15135 | Greece | GRC | 2017 | 21.356000 | NaN |
| 89 | Greenland | GRL | 1960 | 41.466000 | NaN |
| 353 | Greenland | GRL | 1961 | 40.194000 | NaN |
| 617 | Greenland | GRL | 1962 | 38.594000 | NaN |
| 881 | Greenland | GRL | 1963 | 37.017000 | NaN |
| 1145 | Greenland | GRL | 1964 | 35.466000 | NaN |
| 1409 | Greenland | GRL | 1965 | 33.950000 | NaN |
| 1673 | Greenland | GRL | 1966 | 32.509000 | NaN |
| 1937 | Greenland | GRL | 1967 | 31.147000 | NaN |
| 2201 | Greenland | GRL | 1968 | 29.814000 | NaN |
| 2465 | Greenland | GRL | 1969 | 28.519000 | NaN |
| 2729 | Greenland | GRL | 1970 | 27.256000 | NaN |
| 2993 | Greenland | GRL | 1971 | 26.567000 | NaN |
| 3257 | Greenland | GRL | 1972 | 26.325000 | NaN |
| 3521 | Greenland | GRL | 1973 | 26.086000 | NaN |
| 3785 | Greenland | GRL | 1974 | 25.848000 | NaN |
| 4049 | Greenland | GRL | 1975 | 25.611000 | NaN |
| 4313 | Greenland | GRL | 1976 | 25.375000 | NaN |
| 4577 | Greenland | GRL | 1977 | 25.034000 | NaN |
| 4841 | Greenland | GRL | 1978 | 24.645000 | NaN |
| 5105 | Greenland | GRL | 1979 | 24.260000 | NaN |
| 5369 | Greenland | GRL | 1980 | 23.879000 | NaN |
| 5633 | Greenland | GRL | 1981 | 23.503000 | NaN |
| 5897 | Greenland | GRL | 1982 | 23.131000 | NaN |
| 6161 | Greenland | GRL | 1983 | 22.763000 | NaN |
| 6425 | Greenland | GRL | 1984 | 22.398000 | NaN |
| 6689 | Greenland | GRL | 1985 | 22.039000 | NaN |
| 6953 | Greenland | GRL | 1986 | 21.683000 | NaN |
| 7217 | Greenland | GRL | 1987 | 21.332000 | NaN |
| 7481 | Greenland | GRL | 1988 | 20.984000 | NaN |
| 7745 | Greenland | GRL | 1989 | 20.641000 | NaN |
| 8009 | Greenland | GRL | 1990 | 20.302000 | 100.000000 |
| 8273 | Greenland | GRL | 1991 | 19.967000 | 100.000000 |
| 8537 | Greenland | GRL | 1992 | 19.699000 | 100.000000 |
| 8801 | Greenland | GRL | 1993 | 19.497000 | 100.000000 |
| 9065 | Greenland | GRL | 1994 | 19.297000 | 100.000000 |
| 9329 | Greenland | GRL | 1995 | 19.098000 | 100.000000 |
| 9593 | Greenland | GRL | 1996 | 18.900000 | 100.000000 |
| 9857 | Greenland | GRL | 1997 | 18.774000 | 100.000000 |
| 10121 | Greenland | GRL | 1998 | 18.649000 | 100.000000 |
| 10385 | Greenland | GRL | 1999 | 18.524000 | 100.000000 |
| 10649 | Greenland | GRL | 2000 | 18.400000 | 100.000000 |
| 10913 | Greenland | GRL | 2001 | 18.151000 | 100.000000 |
| 11177 | Greenland | GRL | 2002 | 17.905000 | 100.000000 |
| 11441 | Greenland | GRL | 2003 | 17.662000 | 100.000000 |
| 11705 | Greenland | GRL | 2004 | 17.420000 | 100.000000 |
| 11969 | Greenland | GRL | 2005 | 17.142000 | 100.000000 |
| 12233 | Greenland | GRL | 2006 | 16.828000 | 100.000000 |
| 12497 | Greenland | GRL | 2007 | 16.518000 | 100.000000 |
| 12761 | Greenland | GRL | 2008 | 16.213000 | 100.000000 |
| 13025 | Greenland | GRL | 2009 | 15.913000 | 100.000000 |
| 13289 | Greenland | GRL | 2010 | 15.617000 | 100.000000 |
| 13553 | Greenland | GRL | 2011 | 15.245000 | 100.000000 |
| 13817 | Greenland | GRL | 2012 | 14.800000 | 100.000000 |
| 14081 | Greenland | GRL | 2013 | 14.367000 | 100.000000 |
| 14345 | Greenland | GRL | 2014 | 13.955000 | 100.000000 |
| 14609 | Greenland | GRL | 2015 | 13.564000 | 100.000000 |
| 14873 | Greenland | GRL | 2016 | 13.192000 | 100.000000 |
| 15137 | Greenland | GRL | 2017 | 12.840000 | NaN |
| 88 | Grenada | GRD | 1960 | 69.668000 | NaN |
| 352 | Grenada | GRD | 1961 | 69.481000 | NaN |
| 616 | Grenada | GRD | 1962 | 69.293000 | NaN |
| 880 | Grenada | GRD | 1963 | 69.105000 | NaN |
| 1144 | Grenada | GRD | 1964 | 68.915000 | NaN |
| 1408 | Grenada | GRD | 1965 | 68.726000 | NaN |
| 1672 | Grenada | GRD | 1966 | 68.535000 | NaN |
| 1936 | Grenada | GRD | 1967 | 68.344000 | NaN |
| 2200 | Grenada | GRD | 1968 | 68.152000 | NaN |
| 2464 | Grenada | GRD | 1969 | 67.960000 | NaN |
| 2728 | Grenada | GRD | 1970 | 67.788000 | NaN |
| 2992 | Grenada | GRD | 1971 | 67.718000 | NaN |
| 3256 | Grenada | GRD | 1972 | 67.647000 | NaN |
| 3520 | Grenada | GRD | 1973 | 67.576000 | NaN |
| 3784 | Grenada | GRD | 1974 | 67.505000 | NaN |
| 4048 | Grenada | GRD | 1975 | 67.435000 | NaN |
| 4312 | Grenada | GRD | 1976 | 67.364000 | NaN |
| 4576 | Grenada | GRD | 1977 | 67.293000 | NaN |
| 4840 | Grenada | GRD | 1978 | 67.222000 | NaN |
| 5104 | Grenada | GRD | 1979 | 67.150000 | NaN |
| 5368 | Grenada | GRD | 1980 | 67.079000 | NaN |
| 5632 | Grenada | GRD | 1981 | 67.012000 | NaN |
| 5896 | Grenada | GRD | 1982 | 66.963000 | NaN |
| 6160 | Grenada | GRD | 1983 | 66.914000 | NaN |
| 6424 | Grenada | GRD | 1984 | 66.865000 | NaN |
| 6688 | Grenada | GRD | 1985 | 66.817000 | NaN |
| 6952 | Grenada | GRD | 1986 | 66.768000 | NaN |
| 7216 | Grenada | GRD | 1987 | 66.719000 | NaN |
| 7480 | Grenada | GRD | 1988 | 66.670000 | NaN |
| 7744 | Grenada | GRD | 1989 | 66.621000 | NaN |
| 8008 | Grenada | GRD | 1990 | 66.572000 | 81.560829 |
| 8272 | Grenada | GRD | 1991 | 66.494000 | 82.037048 |
| 8536 | Grenada | GRD | 1992 | 66.235000 | 82.512749 |
| 8800 | Grenada | GRD | 1993 | 65.975000 | 82.985397 |
| 9064 | Grenada | GRD | 1994 | 65.714000 | 83.451927 |
| 9328 | Grenada | GRD | 1995 | 65.452000 | 83.909279 |
| 9592 | Grenada | GRD | 1996 | 65.189000 | 84.354385 |
| 9856 | Grenada | GRD | 1997 | 64.926000 | 84.784210 |
| 10120 | Grenada | GRD | 1998 | 64.661000 | 85.040000 |
| 10384 | Grenada | GRD | 1999 | 64.396000 | 85.585724 |
| 10648 | Grenada | GRD | 2000 | 64.129000 | 85.952820 |
| 10912 | Grenada | GRD | 2001 | 63.895000 | 86.301506 |
| 11176 | Grenada | GRD | 2002 | 63.942000 | 86.637848 |
| 11440 | Grenada | GRD | 2003 | 63.989000 | 86.967903 |
| 11704 | Grenada | GRD | 2004 | 64.037000 | 87.297737 |
| 11968 | Grenada | GRD | 2005 | 64.084000 | 87.633415 |
| 12232 | Grenada | GRD | 2006 | 64.131000 | 87.981003 |
| 12496 | Grenada | GRD | 2007 | 64.178000 | 88.346558 |
| 12760 | Grenada | GRD | 2008 | 64.225000 | 90.000000 |
| 13024 | Grenada | GRD | 2009 | 64.272000 | 89.143730 |
| 13288 | Grenada | GRD | 2010 | 64.319000 | 89.570854 |
| 13552 | Grenada | GRD | 2011 | 64.366000 | 88.800000 |
| 13816 | Grenada | GRD | 2012 | 64.399000 | 90.467155 |
| 14080 | Grenada | GRD | 2013 | 64.417000 | 90.930328 |
| 14344 | Grenada | GRD | 2014 | 64.420000 | 91.399506 |
| 14608 | Grenada | GRD | 2015 | 64.409000 | 91.871689 |
| 14872 | Grenada | GRD | 2016 | 64.384000 | 92.344368 |
| 15136 | Grenada | GRD | 2017 | 64.344000 | NaN |
| 91 | Guam | GUM | 1960 | 49.853000 | NaN |
| 355 | Guam | GUM | 1961 | 48.770000 | NaN |
| 619 | Guam | GUM | 1962 | 47.686000 | NaN |
| 883 | Guam | GUM | 1963 | 46.604000 | NaN |
| 1147 | Guam | GUM | 1964 | 45.525000 | NaN |
| 1411 | Guam | GUM | 1965 | 44.452000 | NaN |
| 1675 | Guam | GUM | 1966 | 43.383000 | NaN |
| 1939 | Guam | GUM | 1967 | 42.320000 | NaN |
| 2203 | Guam | GUM | 1968 | 41.262000 | NaN |
| 2467 | Guam | GUM | 1969 | 40.216000 | NaN |
| 2731 | Guam | GUM | 1970 | 38.080000 | NaN |
| 2995 | Guam | GUM | 1971 | 32.847000 | NaN |
| 3259 | Guam | GUM | 1972 | 28.001000 | NaN |
| 3523 | Guam | GUM | 1973 | 23.629000 | NaN |
| 3787 | Guam | GUM | 1974 | 19.748000 | NaN |
| 4051 | Guam | GUM | 1975 | 16.368000 | NaN |
| 4315 | Guam | GUM | 1976 | 13.466000 | NaN |
| 4579 | Guam | GUM | 1977 | 11.017000 | NaN |
| 4843 | Guam | GUM | 1978 | 8.964000 | NaN |
| 5107 | Guam | GUM | 1979 | 7.263000 | NaN |
| 5371 | Guam | GUM | 1980 | 6.247000 | NaN |
| 5635 | Guam | GUM | 1981 | 6.509000 | NaN |
| 5899 | Guam | GUM | 1982 | 6.781000 | NaN |
| 6163 | Guam | GUM | 1983 | 7.063000 | NaN |
| 6427 | Guam | GUM | 1984 | 7.357000 | NaN |
| 6691 | Guam | GUM | 1985 | 7.661000 | NaN |
| 6955 | Guam | GUM | 1986 | 7.977000 | NaN |
| 7219 | Guam | GUM | 1987 | 8.305000 | NaN |
| 7483 | Guam | GUM | 1988 | 8.646000 | NaN |
| 7747 | Guam | GUM | 1989 | 8.998000 | NaN |
| 8011 | Guam | GUM | 1990 | 9.204000 | NaN |
| 8275 | Guam | GUM | 1991 | 8.939000 | NaN |
| 8539 | Guam | GUM | 1992 | 8.680000 | NaN |
| 8803 | Guam | GUM | 1993 | 8.429000 | NaN |
| 9067 | Guam | GUM | 1994 | 8.184000 | NaN |
| 9331 | Guam | GUM | 1995 | 7.945000 | 100.000000 |
| 9595 | Guam | GUM | 1996 | 7.713000 | 100.000000 |
| 9859 | Guam | GUM | 1997 | 7.487000 | 100.000000 |
| 10123 | Guam | GUM | 1998 | 7.267000 | 100.000000 |
| 10387 | Guam | GUM | 1999 | 7.054000 | 100.000000 |
| 10651 | Guam | GUM | 2000 | 6.871000 | 100.000000 |
| 10915 | Guam | GUM | 2001 | 6.767000 | 100.000000 |
| 11179 | Guam | GUM | 2002 | 6.666000 | 100.000000 |
| 11443 | Guam | GUM | 2003 | 6.565000 | 100.000000 |
| 11707 | Guam | GUM | 2004 | 6.466000 | 100.000000 |
| 11971 | Guam | GUM | 2005 | 6.369000 | 100.000000 |
| 12235 | Guam | GUM | 2006 | 6.273000 | 100.000000 |
| 12499 | Guam | GUM | 2007 | 6.178000 | 100.000000 |
| 12763 | Guam | GUM | 2008 | 6.084000 | 100.000000 |
| 13027 | Guam | GUM | 2009 | 5.992000 | 100.000000 |
| 13291 | Guam | GUM | 2010 | 5.901000 | 100.000000 |
| 13555 | Guam | GUM | 2011 | 5.813000 | 100.000000 |
| 13819 | Guam | GUM | 2012 | 5.727000 | 100.000000 |
| 14083 | Guam | GUM | 2013 | 5.644000 | 100.000000 |
| 14347 | Guam | GUM | 2014 | 5.563000 | 100.000000 |
| 14611 | Guam | GUM | 2015 | 5.484000 | 100.000000 |
| 14875 | Guam | GUM | 2016 | 5.407000 | 100.000000 |
| 15139 | Guam | GUM | 2017 | 5.333000 | NaN |
| 90 | Guatemala | GTM | 1960 | 68.879000 | NaN |
| 354 | Guatemala | GTM | 1961 | 68.232000 | NaN |
| 618 | Guatemala | GTM | 1962 | 67.576000 | NaN |
| 882 | Guatemala | GTM | 1963 | 66.914000 | NaN |
| 1146 | Guatemala | GTM | 1964 | 66.318000 | NaN |
| 1410 | Guatemala | GTM | 1965 | 66.011000 | NaN |
| 1674 | Guatemala | GTM | 1966 | 65.702000 | NaN |
| 1938 | Guatemala | GTM | 1967 | 65.392000 | NaN |
| 2202 | Guatemala | GTM | 1968 | 65.081000 | NaN |
| 2466 | Guatemala | GTM | 1969 | 64.768000 | NaN |
| 2730 | Guatemala | GTM | 1970 | 64.455000 | NaN |
| 2994 | Guatemala | GTM | 1971 | 64.139000 | NaN |
| 3258 | Guatemala | GTM | 1972 | 63.823000 | NaN |
| 3522 | Guatemala | GTM | 1973 | 63.554000 | NaN |
| 3786 | Guatemala | GTM | 1974 | 63.418000 | NaN |
| 4050 | Guatemala | GTM | 1975 | 63.282000 | NaN |
| 4314 | Guatemala | GTM | 1976 | 63.146000 | NaN |
| 4578 | Guatemala | GTM | 1977 | 63.010000 | NaN |
| 4842 | Guatemala | GTM | 1978 | 62.873000 | NaN |
| 5106 | Guatemala | GTM | 1979 | 62.737000 | NaN |
| 5370 | Guatemala | GTM | 1980 | 62.599000 | NaN |
| 5634 | Guatemala | GTM | 1981 | 62.395000 | NaN |
| 5898 | Guatemala | GTM | 1982 | 62.010000 | NaN |
| 6162 | Guatemala | GTM | 1983 | 61.624000 | NaN |
| 6426 | Guatemala | GTM | 1984 | 61.236000 | NaN |
| 6690 | Guatemala | GTM | 1985 | 60.848000 | NaN |
| 6954 | Guatemala | GTM | 1986 | 60.457000 | NaN |
| 7218 | Guatemala | GTM | 1987 | 60.066000 | NaN |
| 7482 | Guatemala | GTM | 1988 | 59.672000 | NaN |
| 7746 | Guatemala | GTM | 1989 | 59.279000 | NaN |
| 8010 | Guatemala | GTM | 1990 | 58.883000 | 60.189201 |
| 8274 | Guatemala | GTM | 1991 | 58.487000 | 61.465668 |
| 8538 | Guatemala | GTM | 1992 | 58.088000 | 62.741623 |
| 8802 | Guatemala | GTM | 1993 | 57.690000 | 64.014519 |
| 9066 | Guatemala | GTM | 1994 | 57.290000 | 65.281296 |
| 9330 | Guatemala | GTM | 1995 | 56.890000 | 60.800000 |
| 9594 | Guatemala | GTM | 1996 | 56.488000 | 67.784256 |
| 9858 | Guatemala | GTM | 1997 | 56.086000 | 69.014320 |
| 10122 | Guatemala | GTM | 1998 | 55.682000 | 70.226036 |
| 10386 | Guatemala | GTM | 1999 | 55.278000 | 70.900000 |
| 10650 | Guatemala | GTM | 2000 | 54.873000 | 73.318205 |
| 10914 | Guatemala | GTM | 2001 | 54.468000 | 73.732620 |
| 11178 | Guatemala | GTM | 2002 | 54.063000 | 78.667838 |
| 11442 | Guatemala | GTM | 2003 | 53.656000 | 78.512204 |
| 11706 | Guatemala | GTM | 2004 | 53.244000 | 77.129601 |
| 11970 | Guatemala | GTM | 2005 | 52.828000 | 78.265526 |
| 12234 | Guatemala | GTM | 2006 | 52.407000 | 83.730998 |
| 12498 | Guatemala | GTM | 2007 | 51.981000 | 80.579163 |
| 12762 | Guatemala | GTM | 2008 | 51.551000 | 81.767487 |
| 13026 | Guatemala | GTM | 2009 | 51.116000 | 82.976837 |
| 13290 | Guatemala | GTM | 2010 | 50.677000 | 84.204208 |
| 13554 | Guatemala | GTM | 2011 | 50.235000 | 84.026414 |
| 13818 | Guatemala | GTM | 2012 | 49.788000 | 86.701012 |
| 14082 | Guatemala | GTM | 2013 | 49.339000 | 87.964432 |
| 14346 | Guatemala | GTM | 2014 | 48.885000 | 85.494371 |
| 14610 | Guatemala | GTM | 2015 | 48.429000 | 90.506294 |
| 14874 | Guatemala | GTM | 2016 | 47.970000 | 91.779228 |
| 15138 | Guatemala | GTM | 2017 | 47.508000 | NaN |
| 83 | Guinea | GIN | 1960 | 89.528000 | NaN |
| 347 | Guinea | GIN | 1961 | 89.064000 | NaN |
| 611 | Guinea | GIN | 1962 | 88.582000 | NaN |
| 875 | Guinea | GIN | 1963 | 88.081000 | NaN |
| 1139 | Guinea | GIN | 1964 | 87.561000 | NaN |
| 1403 | Guinea | GIN | 1965 | 87.022000 | NaN |
| 1667 | Guinea | GIN | 1966 | 86.463000 | NaN |
| 1931 | Guinea | GIN | 1967 | 85.884000 | NaN |
| 2195 | Guinea | GIN | 1968 | 85.284000 | NaN |
| 2459 | Guinea | GIN | 1969 | 84.664000 | NaN |
| 2723 | Guinea | GIN | 1970 | 84.023000 | NaN |
| 2987 | Guinea | GIN | 1971 | 83.359000 | NaN |
| 3251 | Guinea | GIN | 1972 | 82.673000 | NaN |
| 3515 | Guinea | GIN | 1973 | 81.967000 | NaN |
| 3779 | Guinea | GIN | 1974 | 81.237000 | NaN |
| 4043 | Guinea | GIN | 1975 | 80.485000 | NaN |
| 4307 | Guinea | GIN | 1976 | 79.709000 | NaN |
| 4571 | Guinea | GIN | 1977 | 78.913000 | NaN |
| 4835 | Guinea | GIN | 1978 | 78.093000 | NaN |
| 5099 | Guinea | GIN | 1979 | 77.250000 | NaN |
| 5363 | Guinea | GIN | 1980 | 76.383000 | NaN |
| 5627 | Guinea | GIN | 1981 | 75.497000 | NaN |
| 5891 | Guinea | GIN | 1982 | 74.586000 | NaN |
| 6155 | Guinea | GIN | 1983 | 73.928000 | NaN |
| 6419 | Guinea | GIN | 1984 | 73.654000 | NaN |
| 6683 | Guinea | GIN | 1985 | 73.379000 | NaN |
| 6947 | Guinea | GIN | 1986 | 73.102000 | NaN |
| 7211 | Guinea | GIN | 1987 | 72.822000 | NaN |
| 7475 | Guinea | GIN | 1988 | 72.541000 | NaN |
| 7739 | Guinea | GIN | 1989 | 72.259000 | NaN |
| 8003 | Guinea | GIN | 1990 | 71.974000 | 6.429067 |
| 8267 | Guinea | GIN | 1991 | 71.688000 | 7.474211 |
| 8531 | Guinea | GIN | 1992 | 71.399000 | 8.518846 |
| 8795 | Guinea | GIN | 1993 | 71.110000 | 9.560420 |
| 9059 | Guinea | GIN | 1994 | 70.818000 | 10.595877 |
| 9323 | Guinea | GIN | 1995 | 70.525000 | 11.622156 |
| 9587 | Guinea | GIN | 1996 | 70.230000 | 12.636199 |
| 9851 | Guinea | GIN | 1997 | 69.933000 | 13.634947 |
| 10115 | Guinea | GIN | 1998 | 69.626000 | 14.615339 |
| 10379 | Guinea | GIN | 1999 | 69.310000 | 16.400000 |
| 10643 | Guinea | GIN | 2000 | 68.983000 | 16.510345 |
| 10907 | Guinea | GIN | 2001 | 68.645000 | 17.427961 |
| 11171 | Guinea | GIN | 2002 | 68.298000 | 18.333231 |
| 11435 | Guinea | GIN | 2003 | 67.940000 | 19.232218 |
| 11699 | Guinea | GIN | 2004 | 67.572000 | 20.130983 |
| 11963 | Guinea | GIN | 2005 | 67.193000 | 20.200000 |
| 12227 | Guinea | GIN | 2006 | 66.804000 | 21.952105 |
| 12491 | Guinea | GIN | 2007 | 66.404000 | 22.886587 |
| 12755 | Guinea | GIN | 2008 | 65.995000 | 23.843588 |
| 13019 | Guinea | GIN | 2009 | 65.574000 | 24.821617 |
| 13283 | Guinea | GIN | 2010 | 65.144000 | 25.817671 |
| 13547 | Guinea | GIN | 2011 | 64.703000 | 26.828743 |
| 13811 | Guinea | GIN | 2012 | 64.252000 | 26.200000 |
| 14075 | Guinea | GIN | 2013 | 63.791000 | 28.883932 |
| 14339 | Guinea | GIN | 2014 | 63.320000 | 29.922041 |
| 14603 | Guinea | GIN | 2015 | 62.839000 | 30.963152 |
| 14867 | Guinea | GIN | 2016 | 62.349000 | 33.500000 |
| 15131 | Guinea | GIN | 2017 | 61.850000 | NaN |
| 85 | Guinea-Bissau | GNB | 1960 | 86.400000 | NaN |
| 349 | Guinea-Bissau | GNB | 1961 | 86.253000 | NaN |
| 613 | Guinea-Bissau | GNB | 1962 | 86.105000 | NaN |
| 877 | Guinea-Bissau | GNB | 1963 | 85.955000 | NaN |
| 1141 | Guinea-Bissau | GNB | 1964 | 85.803000 | NaN |
| 1405 | Guinea-Bissau | GNB | 1965 | 85.651000 | NaN |
| 1669 | Guinea-Bissau | GNB | 1966 | 85.497000 | NaN |
| 1933 | Guinea-Bissau | GNB | 1967 | 85.342000 | NaN |
| 2197 | Guinea-Bissau | GNB | 1968 | 85.185000 | NaN |
| 2461 | Guinea-Bissau | GNB | 1969 | 85.028000 | NaN |
| 2725 | Guinea-Bissau | GNB | 1970 | 84.868000 | NaN |
| 2989 | Guinea-Bissau | GNB | 1971 | 84.707000 | NaN |
| 3253 | Guinea-Bissau | GNB | 1972 | 84.545000 | NaN |
| 3517 | Guinea-Bissau | GNB | 1973 | 84.382000 | NaN |
| 3781 | Guinea-Bissau | GNB | 1974 | 84.217000 | NaN |
| 4045 | Guinea-Bissau | GNB | 1975 | 84.050000 | NaN |
| 4309 | Guinea-Bissau | GNB | 1976 | 83.882000 | NaN |
| 4573 | Guinea-Bissau | GNB | 1977 | 83.713000 | NaN |
| 4837 | Guinea-Bissau | GNB | 1978 | 83.543000 | NaN |
| 5101 | Guinea-Bissau | GNB | 1979 | 83.257000 | NaN |
| 5365 | Guinea-Bissau | GNB | 1980 | 82.395000 | NaN |
| 5629 | Guinea-Bissau | GNB | 1981 | 81.501000 | NaN |
| 5893 | Guinea-Bissau | GNB | 1982 | 80.570000 | NaN |
| 6157 | Guinea-Bissau | GNB | 1983 | 79.605000 | NaN |
| 6421 | Guinea-Bissau | GNB | 1984 | 78.603000 | NaN |
| 6685 | Guinea-Bissau | GNB | 1985 | 77.569000 | NaN |
| 6949 | Guinea-Bissau | GNB | 1986 | 76.498000 | NaN |
| 7213 | Guinea-Bissau | GNB | 1987 | 75.392000 | NaN |
| 7477 | Guinea-Bissau | GNB | 1988 | 74.250000 | NaN |
| 7741 | Guinea-Bissau | GNB | 1989 | 73.077000 | NaN |
| 8005 | Guinea-Bissau | GNB | 1990 | 71.869000 | 0.010000 |
| 8269 | Guinea-Bissau | GNB | 1991 | 70.629000 | 0.265749 |
| 8533 | Guinea-Bissau | GNB | 1992 | 69.665000 | 0.541687 |
| 8797 | Guinea-Bissau | GNB | 1993 | 68.909000 | 1.192769 |
| 9061 | Guinea-Bissau | GNB | 1994 | 68.143000 | 1.837734 |
| 9325 | Guinea-Bissau | GNB | 1995 | 67.367000 | 2.473521 |
| 9589 | Guinea-Bissau | GNB | 1996 | 66.580000 | 3.097071 |
| 9853 | Guinea-Bissau | GNB | 1997 | 65.785000 | 3.705326 |
| 10117 | Guinea-Bissau | GNB | 1998 | 64.981000 | 4.295227 |
| 10381 | Guinea-Bissau | GNB | 1999 | 64.168000 | 4.863713 |
| 10645 | Guinea-Bissau | GNB | 2000 | 63.346000 | 5.409247 |
| 10909 | Guinea-Bissau | GNB | 2001 | 62.518000 | 5.936372 |
| 11173 | Guinea-Bissau | GNB | 2002 | 61.682000 | 6.451149 |
| 11437 | Guinea-Bissau | GNB | 2003 | 60.838000 | 6.959643 |
| 11701 | Guinea-Bissau | GNB | 2004 | 59.987000 | 7.467916 |
| 11965 | Guinea-Bissau | GNB | 2005 | 59.133000 | 7.982032 |
| 12229 | Guinea-Bissau | GNB | 2006 | 58.271000 | 14.536199 |
| 12493 | Guinea-Bissau | GNB | 2007 | 57.404000 | 9.052042 |
| 12757 | Guinea-Bissau | GNB | 2008 | 56.532000 | 9.618552 |
| 13021 | Guinea-Bissau | GNB | 2009 | 55.658000 | 4.700000 |
| 13285 | Guinea-Bissau | GNB | 2010 | 54.779000 | 6.000000 |
| 13549 | Guinea-Bissau | GNB | 2011 | 53.919000 | 11.432230 |
| 13813 | Guinea-Bissau | GNB | 2012 | 53.076000 | 12.064826 |
| 14077 | Guinea-Bissau | GNB | 2013 | 52.253000 | 12.706434 |
| 14341 | Guinea-Bissau | GNB | 2014 | 51.450000 | 17.200000 |
| 14605 | Guinea-Bissau | GNB | 2015 | 50.668000 | 14.004670 |
| 14869 | Guinea-Bissau | GNB | 2016 | 49.906000 | 14.655790 |
| 15133 | Guinea-Bissau | GNB | 2017 | 49.166000 | NaN |
| 92 | Guyana | GUY | 1960 | 70.991000 | NaN |
| 356 | Guyana | GUY | 1961 | 70.951000 | NaN |
| 620 | Guyana | GUY | 1962 | 70.911000 | NaN |
| 884 | Guyana | GUY | 1963 | 70.871000 | NaN |
| 1148 | Guyana | GUY | 1964 | 70.831000 | NaN |
| 1412 | Guyana | GUY | 1965 | 70.791000 | NaN |
| 1676 | Guyana | GUY | 1966 | 70.751000 | NaN |
| 1940 | Guyana | GUY | 1967 | 70.711000 | NaN |
| 2204 | Guyana | GUY | 1968 | 70.671000 | NaN |
| 2468 | Guyana | GUY | 1969 | 70.631000 | NaN |
| 2732 | Guyana | GUY | 1970 | 70.575000 | NaN |
| 2996 | Guyana | GUY | 1971 | 70.467000 | NaN |
| 3260 | Guyana | GUY | 1972 | 70.359000 | NaN |
| 3524 | Guyana | GUY | 1973 | 70.250000 | NaN |
| 3788 | Guyana | GUY | 1974 | 70.142000 | NaN |
| 4052 | Guyana | GUY | 1975 | 70.033000 | NaN |
| 4316 | Guyana | GUY | 1976 | 69.924000 | NaN |
| 4580 | Guyana | GUY | 1977 | 69.814000 | NaN |
| 4844 | Guyana | GUY | 1978 | 69.705000 | NaN |
| 5108 | Guyana | GUY | 1979 | 69.595000 | NaN |
| 5372 | Guyana | GUY | 1980 | 69.512000 | NaN |
| 5636 | Guyana | GUY | 1981 | 69.604000 | NaN |
| 5900 | Guyana | GUY | 1982 | 69.695000 | NaN |
| 6164 | Guyana | GUY | 1983 | 69.785000 | NaN |
| 6428 | Guyana | GUY | 1984 | 69.876000 | NaN |
| 6692 | Guyana | GUY | 1985 | 69.967000 | NaN |
| 6956 | Guyana | GUY | 1986 | 70.057000 | NaN |
| 7220 | Guyana | GUY | 1987 | 70.147000 | NaN |
| 7484 | Guyana | GUY | 1988 | 70.237000 | NaN |
| 7748 | Guyana | GUY | 1989 | 70.327000 | NaN |
| 8012 | Guyana | GUY | 1990 | 70.417000 | 68.210602 |
| 8276 | Guyana | GUY | 1991 | 70.507000 | 68.888695 |
| 8540 | Guyana | GUY | 1992 | 70.596000 | 69.566269 |
| 8804 | Guyana | GUY | 1993 | 70.685000 | 72.376631 |
| 9068 | Guyana | GUY | 1994 | 70.774000 | 70.909195 |
| 9332 | Guyana | GUY | 1995 | 70.863000 | 71.568420 |
| 9596 | Guyana | GUY | 1996 | 70.952000 | 72.215408 |
| 9860 | Guyana | GUY | 1997 | 71.041000 | 72.847107 |
| 10124 | Guyana | GUY | 1998 | 71.129000 | 73.460442 |
| 10388 | Guyana | GUY | 1999 | 71.218000 | 74.052368 |
| 10652 | Guyana | GUY | 2000 | 71.306000 | 74.621346 |
| 10916 | Guyana | GUY | 2001 | 71.394000 | 75.171906 |
| 11180 | Guyana | GUY | 2002 | 71.482000 | 75.710121 |
| 11444 | Guyana | GUY | 2003 | 71.569000 | 76.242058 |
| 11708 | Guyana | GUY | 2004 | 71.642000 | 76.773766 |
| 11972 | Guyana | GUY | 2005 | 71.699000 | 77.500000 |
| 12236 | Guyana | GUY | 2006 | 71.742000 | 73.382588 |
| 12500 | Guyana | GUY | 2007 | 71.769000 | 78.428207 |
| 12764 | Guyana | GUY | 2008 | 71.782000 | 79.018158 |
| 13028 | Guyana | GUY | 2009 | 71.779000 | 77.600000 |
| 13292 | Guyana | GUY | 2010 | 71.761000 | 80.258133 |
| 13556 | Guyana | GUY | 2011 | 71.729000 | 80.902153 |
| 13820 | Guyana | GUY | 2012 | 71.681000 | 81.558189 |
| 14084 | Guyana | GUY | 2013 | 71.618000 | 82.223236 |
| 14348 | Guyana | GUY | 2014 | 71.541000 | 86.900000 |
| 14612 | Guyana | GUY | 2015 | 71.447000 | 83.568352 |
| 14876 | Guyana | GUY | 2016 | 71.339000 | 84.242905 |
| 15140 | Guyana | GUY | 2017 | 71.216000 | NaN |
| 98 | Haiti | HTI | 1960 | 84.407000 | NaN |
| 362 | Haiti | HTI | 1961 | 84.025000 | NaN |
| 626 | Haiti | HTI | 1962 | 83.635000 | NaN |
| 890 | Haiti | HTI | 1963 | 83.238000 | NaN |
| 1154 | Haiti | HTI | 1964 | 82.832000 | NaN |
| 1418 | Haiti | HTI | 1965 | 82.420000 | NaN |
| 1682 | Haiti | HTI | 1966 | 81.999000 | NaN |
| 1946 | Haiti | HTI | 1967 | 81.571000 | NaN |
| 2210 | Haiti | HTI | 1968 | 81.134000 | NaN |
| 2474 | Haiti | HTI | 1969 | 80.690000 | NaN |
| 2738 | Haiti | HTI | 1970 | 80.238000 | NaN |
| 3002 | Haiti | HTI | 1971 | 79.778000 | NaN |
| 3266 | Haiti | HTI | 1972 | 79.677000 | NaN |
| 3530 | Haiti | HTI | 1973 | 79.650000 | NaN |
| 3794 | Haiti | HTI | 1974 | 79.623000 | NaN |
| 4058 | Haiti | HTI | 1975 | 79.596000 | NaN |
| 4322 | Haiti | HTI | 1976 | 79.569000 | NaN |
| 4586 | Haiti | HTI | 1977 | 79.541000 | NaN |
| 4850 | Haiti | HTI | 1978 | 79.514000 | NaN |
| 5114 | Haiti | HTI | 1979 | 79.487000 | NaN |
| 5378 | Haiti | HTI | 1980 | 79.459000 | NaN |
| 5642 | Haiti | HTI | 1981 | 79.432000 | NaN |
| 5906 | Haiti | HTI | 1982 | 79.405000 | NaN |
| 6170 | Haiti | HTI | 1983 | 78.640000 | NaN |
| 6434 | Haiti | HTI | 1984 | 77.703000 | NaN |
| 6698 | Haiti | HTI | 1985 | 76.739000 | NaN |
| 6962 | Haiti | HTI | 1986 | 75.745000 | NaN |
| 7226 | Haiti | HTI | 1987 | 74.723000 | NaN |
| 7490 | Haiti | HTI | 1988 | 73.671000 | NaN |
| 7754 | Haiti | HTI | 1989 | 72.595000 | NaN |
| 8018 | Haiti | HTI | 1990 | 71.490000 | 28.001398 |
| 8282 | Haiti | HTI | 1991 | 70.359000 | 28.473967 |
| 8546 | Haiti | HTI | 1992 | 69.200000 | 28.946028 |
| 8810 | Haiti | HTI | 1993 | 68.610000 | 29.415028 |
| 9074 | Haiti | HTI | 1994 | 68.013000 | 29.877911 |
| 9338 | Haiti | HTI | 1995 | 67.410000 | 31.300000 |
| 9602 | Haiti | HTI | 1996 | 66.800000 | 30.773085 |
| 9866 | Haiti | HTI | 1997 | 66.208000 | 31.199257 |
| 10130 | Haiti | HTI | 1998 | 65.611000 | 31.607077 |
| 10394 | Haiti | HTI | 1999 | 65.008000 | 31.993481 |
| 10658 | Haiti | HTI | 2000 | 64.400000 | 33.700000 |
| 10922 | Haiti | HTI | 2001 | 62.749000 | 31.542382 |
| 11186 | Haiti | HTI | 2002 | 61.065000 | 33.034672 |
| 11450 | Haiti | HTI | 2003 | 59.355000 | 31.600000 |
| 11714 | Haiti | HTI | 2004 | 57.619000 | 33.687275 |
| 11978 | Haiti | HTI | 2005 | 55.916000 | 34.019310 |
| 12242 | Haiti | HTI | 2006 | 54.244000 | 33.900000 |
| 12506 | Haiti | HTI | 2007 | 52.610000 | 34.725155 |
| 12770 | Haiti | HTI | 2008 | 51.020000 | 35.109581 |
| 13034 | Haiti | HTI | 2009 | 49.477000 | 35.515038 |
| 13298 | Haiti | HTI | 2010 | 47.984000 | 35.938519 |
| 13562 | Haiti | HTI | 2011 | 46.544000 | 36.377014 |
| 13826 | Haiti | HTI | 2012 | 45.159000 | 37.900000 |
| 14090 | Haiti | HTI | 2013 | 43.832000 | 37.287056 |
| 14354 | Haiti | HTI | 2014 | 42.564000 | 37.752590 |
| 14618 | Haiti | HTI | 2015 | 41.355000 | 38.221127 |
| 14882 | Haiti | HTI | 2016 | 40.206000 | 38.690166 |
| 15146 | Haiti | HTI | 2017 | 39.117000 | NaN |
| 96 | Heavily indebted poor countries (HIPC) | HPC | 1960 | 87.746640 | NaN |
| 360 | Heavily indebted poor countries (HIPC) | HPC | 1961 | 87.399511 | NaN |
| 624 | Heavily indebted poor countries (HIPC) | HPC | 1962 | 87.040903 | NaN |
| 888 | Heavily indebted poor countries (HIPC) | HPC | 1963 | 86.666537 | NaN |
| 1152 | Heavily indebted poor countries (HIPC) | HPC | 1964 | 86.268988 | NaN |
| 1416 | Heavily indebted poor countries (HIPC) | HPC | 1965 | 85.859059 | NaN |
| 1680 | Heavily indebted poor countries (HIPC) | HPC | 1966 | 85.457032 | NaN |
| 1944 | Heavily indebted poor countries (HIPC) | HPC | 1967 | 85.042570 | NaN |
| 2208 | Heavily indebted poor countries (HIPC) | HPC | 1968 | 84.615457 | NaN |
| 2472 | Heavily indebted poor countries (HIPC) | HPC | 1969 | 84.172735 | NaN |
| 2736 | Heavily indebted poor countries (HIPC) | HPC | 1970 | 83.744622 | NaN |
| 3000 | Heavily indebted poor countries (HIPC) | HPC | 1971 | 83.304826 | NaN |
| 3264 | Heavily indebted poor countries (HIPC) | HPC | 1972 | 82.859456 | NaN |
| 3528 | Heavily indebted poor countries (HIPC) | HPC | 1973 | 82.408019 | NaN |
| 3792 | Heavily indebted poor countries (HIPC) | HPC | 1974 | 81.959693 | NaN |
| 4056 | Heavily indebted poor countries (HIPC) | HPC | 1975 | 81.495217 | NaN |
| 4320 | Heavily indebted poor countries (HIPC) | HPC | 1976 | 81.010619 | NaN |
| 4584 | Heavily indebted poor countries (HIPC) | HPC | 1977 | 80.522820 | NaN |
| 4848 | Heavily indebted poor countries (HIPC) | HPC | 1978 | 80.024960 | NaN |
| 5112 | Heavily indebted poor countries (HIPC) | HPC | 1979 | 79.606994 | NaN |
| 5376 | Heavily indebted poor countries (HIPC) | HPC | 1980 | 79.204529 | NaN |
| 5640 | Heavily indebted poor countries (HIPC) | HPC | 1981 | 78.812370 | NaN |
| 5904 | Heavily indebted poor countries (HIPC) | HPC | 1982 | 78.417175 | NaN |
| 6168 | Heavily indebted poor countries (HIPC) | HPC | 1983 | 77.991670 | NaN |
| 6432 | Heavily indebted poor countries (HIPC) | HPC | 1984 | 77.531879 | NaN |
| 6696 | Heavily indebted poor countries (HIPC) | HPC | 1985 | 77.040014 | NaN |
| 6960 | Heavily indebted poor countries (HIPC) | HPC | 1986 | 76.560312 | NaN |
| 7224 | Heavily indebted poor countries (HIPC) | HPC | 1987 | 76.093634 | NaN |
| 7488 | Heavily indebted poor countries (HIPC) | HPC | 1988 | 75.633834 | NaN |
| 7752 | Heavily indebted poor countries (HIPC) | HPC | 1989 | 75.187410 | NaN |
| 8016 | Heavily indebted poor countries (HIPC) | HPC | 1990 | 74.728464 | 10.548758 |
| 8280 | Heavily indebted poor countries (HIPC) | HPC | 1991 | 74.306289 | 10.854472 |
| 8544 | Heavily indebted poor countries (HIPC) | HPC | 1992 | 73.902034 | 11.751064 |
| 8808 | Heavily indebted poor countries (HIPC) | HPC | 1993 | 73.524828 | 12.072154 |
| 9072 | Heavily indebted poor countries (HIPC) | HPC | 1994 | 73.215255 | 12.619800 |
| 9336 | Heavily indebted poor countries (HIPC) | HPC | 1995 | 72.919368 | 13.650920 |
| 9600 | Heavily indebted poor countries (HIPC) | HPC | 1996 | 72.633127 | 14.713714 |
| 9864 | Heavily indebted poor countries (HIPC) | HPC | 1997 | 72.336413 | 15.303549 |
| 10128 | Heavily indebted poor countries (HIPC) | HPC | 1998 | 72.052606 | 16.391035 |
| 10392 | Heavily indebted poor countries (HIPC) | HPC | 1999 | 71.765053 | 16.985709 |
| 10656 | Heavily indebted poor countries (HIPC) | HPC | 2000 | 71.473170 | 18.341850 |
| 10920 | Heavily indebted poor countries (HIPC) | HPC | 2001 | 71.151433 | 18.710819 |
| 11184 | Heavily indebted poor countries (HIPC) | HPC | 2002 | 70.819935 | 19.307888 |
| 11448 | Heavily indebted poor countries (HIPC) | HPC | 2003 | 70.467324 | 20.695093 |
| 11712 | Heavily indebted poor countries (HIPC) | HPC | 2004 | 70.105045 | 21.687893 |
| 11976 | Heavily indebted poor countries (HIPC) | HPC | 2005 | 69.726262 | 21.804334 |
| 12240 | Heavily indebted poor countries (HIPC) | HPC | 2006 | 69.339251 | 23.824731 |
| 12504 | Heavily indebted poor countries (HIPC) | HPC | 2007 | 68.939839 | 25.475264 |
| 12768 | Heavily indebted poor countries (HIPC) | HPC | 2008 | 68.510191 | 26.033704 |
| 13032 | Heavily indebted poor countries (HIPC) | HPC | 2009 | 68.076045 | 26.581263 |
| 13296 | Heavily indebted poor countries (HIPC) | HPC | 2010 | 67.637496 | 27.908502 |
| 13560 | Heavily indebted poor countries (HIPC) | HPC | 2011 | 67.195720 | 28.286919 |
| 13824 | Heavily indebted poor countries (HIPC) | HPC | 2012 | 66.749969 | 31.042560 |
| 14088 | Heavily indebted poor countries (HIPC) | HPC | 2013 | 66.300758 | 31.601216 |
| 14352 | Heavily indebted poor countries (HIPC) | HPC | 2014 | 65.847300 | 34.124225 |
| 14616 | Heavily indebted poor countries (HIPC) | HPC | 2015 | 65.389198 | 34.534628 |
| 14880 | Heavily indebted poor countries (HIPC) | HPC | 2016 | 64.926746 | 38.585636 |
| 15144 | Heavily indebted poor countries (HIPC) | HPC | 2017 | 64.460560 | NaN |
| 93 | High income | HIC | 1960 | 35.933437 | NaN |
| 357 | High income | HIC | 1961 | 35.430420 | NaN |
| 621 | High income | HIC | 1962 | 34.923016 | NaN |
| 885 | High income | HIC | 1963 | 34.397537 | NaN |
| 1149 | High income | HIC | 1964 | 33.871830 | NaN |
| 1413 | High income | HIC | 1965 | 33.346812 | NaN |
| 1677 | High income | HIC | 1966 | 32.831224 | NaN |
| 1941 | High income | HIC | 1967 | 32.308333 | NaN |
| 2205 | High income | HIC | 1968 | 31.797752 | NaN |
| 2469 | High income | HIC | 1969 | 31.307724 | NaN |
| 2733 | High income | HIC | 1970 | 30.835800 | NaN |
| 2997 | High income | HIC | 1971 | 30.434283 | NaN |
| 3261 | High income | HIC | 1972 | 30.064165 | NaN |
| 3525 | High income | HIC | 1973 | 29.706038 | NaN |
| 3789 | High income | HIC | 1974 | 29.344818 | NaN |
| 4053 | High income | HIC | 1975 | 29.007779 | NaN |
| 4317 | High income | HIC | 1976 | 28.740693 | NaN |
| 4581 | High income | HIC | 1977 | 28.481767 | NaN |
| 4845 | High income | HIC | 1978 | 28.221999 | NaN |
| 5109 | High income | HIC | 1979 | 27.964666 | NaN |
| 5373 | High income | HIC | 1980 | 27.706492 | NaN |
| 5637 | High income | HIC | 1981 | 27.414557 | NaN |
| 5901 | High income | HIC | 1982 | 27.155234 | NaN |
| 6165 | High income | HIC | 1983 | 26.916631 | NaN |
| 6429 | High income | HIC | 1984 | 26.691126 | NaN |
| 6693 | High income | HIC | 1985 | 26.470683 | NaN |
| 6957 | High income | HIC | 1986 | 26.221024 | NaN |
| 7221 | High income | HIC | 1987 | 25.993506 | NaN |
| 7485 | High income | HIC | 1988 | 25.679339 | NaN |
| 7749 | High income | HIC | 1989 | 25.444929 | NaN |
| 8013 | High income | HIC | 1990 | 25.196894 | 99.450728 |
| 8277 | High income | HIC | 1991 | 24.920844 | 99.501736 |
| 8541 | High income | HIC | 1992 | 24.708254 | 99.522910 |
| 8805 | High income | HIC | 1993 | 24.462775 | 99.546480 |
| 9069 | High income | HIC | 1994 | 24.220778 | 99.569390 |
| 9333 | High income | HIC | 1995 | 23.950935 | 99.577401 |
| 9597 | High income | HIC | 1996 | 23.722489 | 99.627851 |
| 9861 | High income | HIC | 1997 | 23.509875 | 99.653294 |
| 10125 | High income | HIC | 1998 | 23.295361 | 99.683689 |
| 10389 | High income | HIC | 1999 | 23.080844 | 99.692895 |
| 10653 | High income | HIC | 2000 | 22.862459 | 99.725689 |
| 10917 | High income | HIC | 2001 | 22.537061 | 99.730777 |
| 11181 | High income | HIC | 2002 | 22.161037 | 99.746770 |
| 11445 | High income | HIC | 2003 | 21.807282 | 99.793786 |
| 11709 | High income | HIC | 2004 | 21.465652 | 99.784954 |
| 11973 | High income | HIC | 2005 | 21.134940 | 99.802381 |
| 12237 | High income | HIC | 2006 | 20.831740 | 99.836080 |
| 12501 | High income | HIC | 2007 | 20.542572 | 99.840831 |
| 12765 | High income | HIC | 2008 | 20.259948 | 99.861596 |
| 13029 | High income | HIC | 2009 | 19.987655 | 99.891320 |
| 13293 | High income | HIC | 2010 | 19.722289 | 99.902745 |
| 13557 | High income | HIC | 2011 | 19.458247 | 99.927307 |
| 13821 | High income | HIC | 2012 | 19.214347 | 99.947335 |
| 14085 | High income | HIC | 2013 | 18.985623 | 99.950296 |
| 14349 | High income | HIC | 2014 | 18.763908 | 99.968816 |
| 14613 | High income | HIC | 2015 | 18.544209 | 99.968814 |
| 14877 | High income | HIC | 2016 | 18.330084 | 99.976739 |
| 15141 | High income | HIC | 2017 | 18.121100 | NaN |
| 95 | Honduras | HND | 1960 | 77.253000 | NaN |
| 359 | Honduras | HND | 1961 | 76.682000 | NaN |
| 623 | Honduras | HND | 1962 | 76.100000 | NaN |
| 887 | Honduras | HND | 1963 | 75.509000 | NaN |
| 1151 | Honduras | HND | 1964 | 74.906000 | NaN |
| 1415 | Honduras | HND | 1965 | 74.296000 | NaN |
| 1679 | Honduras | HND | 1966 | 73.675000 | NaN |
| 1943 | Honduras | HND | 1967 | 73.045000 | NaN |
| 2207 | Honduras | HND | 1968 | 72.404000 | NaN |
| 2471 | Honduras | HND | 1969 | 71.756000 | NaN |
| 2735 | Honduras | HND | 1970 | 71.098000 | NaN |
| 2999 | Honduras | HND | 1971 | 70.431000 | NaN |
| 3263 | Honduras | HND | 1972 | 69.754000 | NaN |
| 3527 | Honduras | HND | 1973 | 69.070000 | NaN |
| 3791 | Honduras | HND | 1974 | 68.429000 | NaN |
| 4055 | Honduras | HND | 1975 | 67.890000 | NaN |
| 4319 | Honduras | HND | 1976 | 67.347000 | NaN |
| 4583 | Honduras | HND | 1977 | 66.800000 | NaN |
| 4847 | Honduras | HND | 1978 | 66.248000 | NaN |
| 5111 | Honduras | HND | 1979 | 65.691000 | NaN |
| 5375 | Honduras | HND | 1980 | 65.130000 | NaN |
| 5639 | Honduras | HND | 1981 | 64.565000 | NaN |
| 5903 | Honduras | HND | 1982 | 63.996000 | NaN |
| 6167 | Honduras | HND | 1983 | 63.423000 | NaN |
| 6431 | Honduras | HND | 1984 | 62.845000 | NaN |
| 6695 | Honduras | HND | 1985 | 62.265000 | NaN |
| 6959 | Honduras | HND | 1986 | 61.681000 | NaN |
| 7223 | Honduras | HND | 1987 | 61.093000 | NaN |
| 7487 | Honduras | HND | 1988 | 60.519000 | NaN |
| 7751 | Honduras | HND | 1989 | 60.031000 | NaN |
| 8015 | Honduras | HND | 1990 | 59.540000 | 54.744518 |
| 8279 | Honduras | HND | 1991 | 59.047000 | 54.781937 |
| 8543 | Honduras | HND | 1992 | 58.552000 | 58.913112 |
| 8807 | Honduras | HND | 1993 | 58.057000 | 61.100156 |
| 9071 | Honduras | HND | 1994 | 57.559000 | 64.733947 |
| 9335 | Honduras | HND | 1995 | 57.059000 | 66.122022 |
| 9599 | Honduras | HND | 1996 | 56.558000 | 61.681120 |
| 9863 | Honduras | HND | 1997 | 56.056000 | 64.794754 |
| 10127 | Honduras | HND | 1998 | 55.553000 | 66.859519 |
| 10391 | Honduras | HND | 1999 | 55.048000 | 67.394103 |
| 10655 | Honduras | HND | 2000 | 54.542000 | 67.616722 |
| 10919 | Honduras | HND | 2001 | 54.036000 | 68.813431 |
| 11183 | Honduras | HND | 2002 | 53.407000 | 63.141137 |
| 11447 | Honduras | HND | 2003 | 52.767000 | 65.090464 |
| 11711 | Honduras | HND | 2004 | 52.125000 | 67.113528 |
| 11975 | Honduras | HND | 2005 | 51.484000 | 68.903309 |
| 12239 | Honduras | HND | 2006 | 50.842000 | 71.266448 |
| 12503 | Honduras | HND | 2007 | 50.200000 | 73.548187 |
| 12767 | Honduras | HND | 2008 | 49.562000 | 76.396899 |
| 13031 | Honduras | HND | 2009 | 48.930000 | 78.269685 |
| 13295 | Honduras | HND | 2010 | 48.304000 | 80.984668 |
| 13559 | Honduras | HND | 2011 | 47.684000 | 82.195298 |
| 13823 | Honduras | HND | 2012 | 47.070000 | 83.607727 |
| 14087 | Honduras | HND | 2013 | 46.463000 | 87.184881 |
| 14351 | Honduras | HND | 2014 | 45.863000 | 88.653773 |
| 14615 | Honduras | HND | 2015 | 45.270000 | 89.981710 |
| 14879 | Honduras | HND | 2016 | 44.685000 | 87.576630 |
| 15143 | Honduras | HND | 2017 | 44.107000 | NaN |
| 94 | Hong Kong SAR, China | HKG | 1960 | 14.800000 | NaN |
| 358 | Hong Kong SAR, China | HKG | 1961 | 14.707000 | NaN |
| 622 | Hong Kong SAR, China | HKG | 1962 | 14.418000 | NaN |
| 886 | Hong Kong SAR, China | HKG | 1963 | 14.133000 | NaN |
| 1150 | Hong Kong SAR, China | HKG | 1964 | 13.853000 | NaN |
| 1414 | Hong Kong SAR, China | HKG | 1965 | 13.578000 | NaN |
| 1678 | Hong Kong SAR, China | HKG | 1966 | 13.308000 | NaN |
| 1942 | Hong Kong SAR, China | HKG | 1967 | 13.042000 | NaN |
| 2206 | Hong Kong SAR, China | HKG | 1968 | 12.780000 | NaN |
| 2470 | Hong Kong SAR, China | HKG | 1969 | 12.524000 | NaN |
| 2734 | Hong Kong SAR, China | HKG | 1970 | 12.271000 | NaN |
| 2998 | Hong Kong SAR, China | HKG | 1971 | 11.961000 | NaN |
| 3262 | Hong Kong SAR, China | HKG | 1972 | 11.526000 | NaN |
| 3526 | Hong Kong SAR, China | HKG | 1973 | 11.106000 | NaN |
| 3790 | Hong Kong SAR, China | HKG | 1974 | 10.699000 | NaN |
| 4054 | Hong Kong SAR, China | HKG | 1975 | 10.305000 | NaN |
| 4318 | Hong Kong SAR, China | HKG | 1976 | 9.923000 | NaN |
| 4582 | Hong Kong SAR, China | HKG | 1977 | 9.555000 | NaN |
| 4846 | Hong Kong SAR, China | HKG | 1978 | 9.199000 | NaN |
| 5110 | Hong Kong SAR, China | HKG | 1979 | 8.855000 | NaN |
| 5374 | Hong Kong SAR, China | HKG | 1980 | 8.522000 | NaN |
| 5638 | Hong Kong SAR, China | HKG | 1981 | 8.206000 | NaN |
| 5902 | Hong Kong SAR, China | HKG | 1982 | 7.910000 | NaN |
| 6166 | Hong Kong SAR, China | HKG | 1983 | 7.624000 | NaN |
| 6430 | Hong Kong SAR, China | HKG | 1984 | 7.347000 | NaN |
| 6694 | Hong Kong SAR, China | HKG | 1985 | 7.080000 | NaN |
| 6958 | Hong Kong SAR, China | HKG | 1986 | 5.752000 | NaN |
| 7222 | Hong Kong SAR, China | HKG | 1987 | 3.140000 | NaN |
| 7486 | Hong Kong SAR, China | HKG | 1988 | 1.691000 | NaN |
| 7750 | Hong Kong SAR, China | HKG | 1989 | 0.906000 | NaN |
| 8014 | Hong Kong SAR, China | HKG | 1990 | 0.483000 | 100.000000 |
| 8278 | Hong Kong SAR, China | HKG | 1991 | 0.168000 | 100.000000 |
| 8542 | Hong Kong SAR, China | HKG | 1992 | 0.021000 | 100.000000 |
| 8806 | Hong Kong SAR, China | HKG | 1993 | 0.000000 | 100.000000 |
| 9070 | Hong Kong SAR, China | HKG | 1994 | 0.000000 | 100.000000 |
| 9334 | Hong Kong SAR, China | HKG | 1995 | 0.000000 | 100.000000 |
| 9598 | Hong Kong SAR, China | HKG | 1996 | 0.000000 | 100.000000 |
| 9862 | Hong Kong SAR, China | HKG | 1997 | 0.000000 | 100.000000 |
| 10126 | Hong Kong SAR, China | HKG | 1998 | 0.000000 | 100.000000 |
| 10390 | Hong Kong SAR, China | HKG | 1999 | 0.000000 | 100.000000 |
| 10654 | Hong Kong SAR, China | HKG | 2000 | 0.000000 | 100.000000 |
| 10918 | Hong Kong SAR, China | HKG | 2001 | 0.000000 | 100.000000 |
| 11182 | Hong Kong SAR, China | HKG | 2002 | 0.000000 | 100.000000 |
| 11446 | Hong Kong SAR, China | HKG | 2003 | 0.000000 | 100.000000 |
| 11710 | Hong Kong SAR, China | HKG | 2004 | 0.000000 | 100.000000 |
| 11974 | Hong Kong SAR, China | HKG | 2005 | 0.000000 | 100.000000 |
| 12238 | Hong Kong SAR, China | HKG | 2006 | 0.000000 | 100.000000 |
| 12502 | Hong Kong SAR, China | HKG | 2007 | 0.000000 | 100.000000 |
| 12766 | Hong Kong SAR, China | HKG | 2008 | 0.000000 | 100.000000 |
| 13030 | Hong Kong SAR, China | HKG | 2009 | 0.000000 | 100.000000 |
| 13294 | Hong Kong SAR, China | HKG | 2010 | 0.000000 | 100.000000 |
| 13558 | Hong Kong SAR, China | HKG | 2011 | 0.000000 | 100.000000 |
| 13822 | Hong Kong SAR, China | HKG | 2012 | 0.000000 | 100.000000 |
| 14086 | Hong Kong SAR, China | HKG | 2013 | 0.000000 | 100.000000 |
| 14350 | Hong Kong SAR, China | HKG | 2014 | 0.000000 | 100.000000 |
| 14614 | Hong Kong SAR, China | HKG | 2015 | 0.000000 | 100.000000 |
| 14878 | Hong Kong SAR, China | HKG | 2016 | 0.000000 | 100.000000 |
| 15142 | Hong Kong SAR, China | HKG | 2017 | 0.000000 | NaN |
| 99 | Hungary | HUN | 1960 | 44.089000 | NaN |
| 363 | Hungary | HUN | 1961 | 43.665000 | NaN |
| 627 | Hungary | HUN | 1962 | 43.242000 | NaN |
| 891 | Hungary | HUN | 1963 | 42.819000 | NaN |
| 1155 | Hungary | HUN | 1964 | 42.397000 | NaN |
| 1419 | Hungary | HUN | 1965 | 41.978000 | NaN |
| 1683 | Hungary | HUN | 1966 | 41.559000 | NaN |
| 1947 | Hungary | HUN | 1967 | 41.141000 | NaN |
| 2211 | Hungary | HUN | 1968 | 40.724000 | NaN |
| 2475 | Hungary | HUN | 1969 | 40.309000 | NaN |
| 2739 | Hungary | HUN | 1970 | 39.888000 | NaN |
| 3003 | Hungary | HUN | 1971 | 39.461000 | NaN |
| 3267 | Hungary | HUN | 1972 | 39.035000 | NaN |
| 3531 | Hungary | HUN | 1973 | 38.612000 | NaN |
| 3795 | Hungary | HUN | 1974 | 38.190000 | NaN |
| 4059 | Hungary | HUN | 1975 | 37.769000 | NaN |
| 4323 | Hungary | HUN | 1976 | 37.350000 | NaN |
| 4587 | Hungary | HUN | 1977 | 36.934000 | NaN |
| 4851 | Hungary | HUN | 1978 | 36.520000 | NaN |
| 5115 | Hungary | HUN | 1979 | 36.107000 | NaN |
| 5379 | Hungary | HUN | 1980 | 35.809000 | NaN |
| 5643 | Hungary | HUN | 1981 | 35.628000 | NaN |
| 5907 | Hungary | HUN | 1982 | 35.447000 | NaN |
| 6171 | Hungary | HUN | 1983 | 35.266000 | NaN |
| 6435 | Hungary | HUN | 1984 | 35.085000 | NaN |
| 6699 | Hungary | HUN | 1985 | 34.905000 | NaN |
| 6963 | Hungary | HUN | 1986 | 34.726000 | NaN |
| 7227 | Hungary | HUN | 1987 | 34.547000 | NaN |
| 7491 | Hungary | HUN | 1988 | 34.368000 | NaN |
| 7755 | Hungary | HUN | 1989 | 34.190000 | NaN |
| 8019 | Hungary | HUN | 1990 | 34.162000 | 100.000000 |
| 8283 | Hungary | HUN | 1991 | 34.287000 | 100.000000 |
| 8547 | Hungary | HUN | 1992 | 34.413000 | 100.000000 |
| 8811 | Hungary | HUN | 1993 | 34.539000 | 100.000000 |
| 9075 | Hungary | HUN | 1994 | 34.665000 | 100.000000 |
| 9339 | Hungary | HUN | 1995 | 34.791000 | 100.000000 |
| 9603 | Hungary | HUN | 1996 | 34.917000 | 100.000000 |
| 9867 | Hungary | HUN | 1997 | 35.044000 | 100.000000 |
| 10131 | Hungary | HUN | 1998 | 35.171000 | 100.000000 |
| 10395 | Hungary | HUN | 1999 | 35.298000 | 100.000000 |
| 10659 | Hungary | HUN | 2000 | 35.425000 | 100.000000 |
| 10923 | Hungary | HUN | 2001 | 35.330000 | 100.000000 |
| 11187 | Hungary | HUN | 2002 | 34.919000 | 100.000000 |
| 11451 | Hungary | HUN | 2003 | 34.511000 | 100.000000 |
| 11715 | Hungary | HUN | 2004 | 34.104000 | 100.000000 |
| 11979 | Hungary | HUN | 2005 | 33.646000 | 100.000000 |
| 12243 | Hungary | HUN | 2006 | 33.137000 | 100.000000 |
| 12507 | Hungary | HUN | 2007 | 32.632000 | 100.000000 |
| 12771 | Hungary | HUN | 2008 | 32.130000 | 100.000000 |
| 13035 | Hungary | HUN | 2009 | 31.634000 | 100.000000 |
| 13299 | Hungary | HUN | 2010 | 31.141000 | 100.000000 |
| 13563 | Hungary | HUN | 2011 | 30.652000 | 100.000000 |
| 13827 | Hungary | HUN | 2012 | 30.168000 | 100.000000 |
| 14091 | Hungary | HUN | 2013 | 29.694000 | 100.000000 |
| 14355 | Hungary | HUN | 2014 | 29.229000 | 100.000000 |
| 14619 | Hungary | HUN | 2015 | 28.773000 | 100.000000 |
| 14883 | Hungary | HUN | 2016 | 28.328000 | 100.000000 |
| 15147 | Hungary | HUN | 2017 | 27.892000 | NaN |
| 100 | IBRD only | IBD | 1960 | 74.005889 | NaN |
| 364 | IBRD only | IBD | 1961 | 73.436054 | NaN |
| 628 | IBRD only | IBD | 1962 | 72.909731 | NaN |
| 892 | IBRD only | IBD | 1963 | 72.433137 | NaN |
| 1156 | IBRD only | IBD | 1964 | 71.946953 | NaN |
| 1420 | IBRD only | IBD | 1965 | 71.723748 | NaN |
| 1684 | IBRD only | IBD | 1966 | 71.515018 | NaN |
| 1948 | IBRD only | IBD | 1967 | 71.292010 | NaN |
| 2212 | IBRD only | IBD | 1968 | 71.072261 | NaN |
| 2476 | IBRD only | IBD | 1969 | 70.861963 | NaN |
| 2740 | IBRD only | IBD | 1970 | 70.656601 | NaN |
| 3004 | IBRD only | IBD | 1971 | 70.440644 | NaN |
| 3268 | IBRD only | IBD | 1972 | 70.185347 | NaN |
| 3532 | IBRD only | IBD | 1973 | 69.887772 | NaN |
| 3796 | IBRD only | IBD | 1974 | 69.544474 | NaN |
| 4060 | IBRD only | IBD | 1975 | 69.189954 | NaN |
| 4324 | IBRD only | IBD | 1976 | 68.844099 | NaN |
| 4588 | IBRD only | IBD | 1977 | 68.492544 | NaN |
| 4852 | IBRD only | IBD | 1978 | 68.029727 | NaN |
| 5116 | IBRD only | IBD | 1979 | 67.461336 | NaN |
| 5380 | IBRD only | IBD | 1980 | 66.889599 | NaN |
| 5644 | IBRD only | IBD | 1981 | 66.303247 | NaN |
| 5908 | IBRD only | IBD | 1982 | 65.735382 | NaN |
| 6172 | IBRD only | IBD | 1983 | 65.216410 | NaN |
| 6436 | IBRD only | IBD | 1984 | 64.683618 | NaN |
| 6700 | IBRD only | IBD | 1985 | 64.151653 | NaN |
| 6964 | IBRD only | IBD | 1986 | 63.625611 | NaN |
| 7228 | IBRD only | IBD | 1987 | 63.108139 | NaN |
| 7492 | IBRD only | IBD | 1988 | 62.592824 | NaN |
| 7756 | IBRD only | IBD | 1989 | 62.090524 | NaN |
| 8020 | IBRD only | IBD | 1990 | 61.605731 | 76.116551 |
| 8284 | IBRD only | IBD | 1991 | 61.107884 | 76.213811 |
| 8548 | IBRD only | IBD | 1992 | 60.608161 | 77.640564 |
| 8812 | IBRD only | IBD | 1993 | 60.104008 | 78.557732 |
| 9076 | IBRD only | IBD | 1994 | 59.597625 | 78.975101 |
| 9340 | IBRD only | IBD | 1995 | 59.089793 | 79.794747 |
| 9604 | IBRD only | IBD | 1996 | 58.580894 | 80.740899 |
| 9868 | IBRD only | IBD | 1997 | 58.065078 | 81.829989 |
| 10132 | IBRD only | IBD | 1998 | 57.541292 | 82.575296 |
| 10396 | IBRD only | IBD | 1999 | 57.012419 | 83.988530 |
| 10660 | IBRD only | IBD | 2000 | 56.476005 | 84.088188 |
| 10924 | IBRD only | IBD | 2001 | 55.893419 | 83.316997 |
| 11188 | IBRD only | IBD | 2002 | 55.255899 | 85.503378 |
| 11452 | IBRD only | IBD | 2003 | 54.609876 | 86.108197 |
| 11716 | IBRD only | IBD | 2004 | 53.957290 | 86.467292 |
| 11980 | IBRD only | IBD | 2005 | 53.302129 | 87.297560 |
| 12244 | IBRD only | IBD | 2006 | 52.656852 | 88.187157 |
| 12508 | IBRD only | IBD | 2007 | 52.016949 | 88.768329 |
| 12772 | IBRD only | IBD | 2008 | 51.374065 | 89.555726 |
| 13036 | IBRD only | IBD | 2009 | 50.729905 | 90.764585 |
| 13300 | IBRD only | IBD | 2010 | 50.083410 | 91.457785 |
| 13564 | IBRD only | IBD | 2011 | 49.435357 | 89.196184 |
| 13828 | IBRD only | IBD | 2012 | 48.793335 | 92.850228 |
| 14092 | IBRD only | IBD | 2013 | 48.161882 | 92.916182 |
| 14356 | IBRD only | IBD | 2014 | 47.542702 | 93.345705 |
| 14620 | IBRD only | IBD | 2015 | 46.936358 | 95.432905 |
| 14884 | IBRD only | IBD | 2016 | 46.344403 | 94.556779 |
| 15148 | IBRD only | IBD | 2017 | 45.765153 | NaN |
| 101 | IDA & IBRD total | IBT | 1960 | 76.048614 | NaN |
| 365 | IDA & IBRD total | IBT | 1961 | 75.545799 | NaN |
| 629 | IDA & IBRD total | IBT | 1962 | 75.069304 | NaN |
| 893 | IDA & IBRD total | IBT | 1963 | 74.622755 | NaN |
| 1157 | IDA & IBRD total | IBT | 1964 | 74.168129 | NaN |
| 1421 | IDA & IBRD total | IBT | 1965 | 73.931289 | NaN |
| 1685 | IDA & IBRD total | IBT | 1966 | 73.705542 | NaN |
| 1949 | IDA & IBRD total | IBT | 1967 | 73.465753 | NaN |
| 2213 | IDA & IBRD total | IBT | 1968 | 73.226678 | NaN |
| 2477 | IDA & IBRD total | IBT | 1969 | 72.991867 | NaN |
| 2741 | IDA & IBRD total | IBT | 1970 | 72.759668 | NaN |
| 3005 | IDA & IBRD total | IBT | 1971 | 72.510564 | NaN |
| 3269 | IDA & IBRD total | IBT | 1972 | 72.227855 | NaN |
| 3533 | IDA & IBRD total | IBT | 1973 | 71.908929 | NaN |
| 3797 | IDA & IBRD total | IBT | 1974 | 71.552473 | NaN |
| 4061 | IDA & IBRD total | IBT | 1975 | 71.248588 | NaN |
| 4325 | IDA & IBRD total | IBT | 1976 | 70.890771 | NaN |
| 4589 | IDA & IBRD total | IBT | 1977 | 70.528944 | NaN |
| 4853 | IDA & IBRD total | IBT | 1978 | 70.073799 | NaN |
| 5117 | IDA & IBRD total | IBT | 1979 | 69.537838 | NaN |
| 5381 | IDA & IBRD total | IBT | 1980 | 68.996377 | NaN |
| 5645 | IDA & IBRD total | IBT | 1981 | 68.447219 | NaN |
| 5909 | IDA & IBRD total | IBT | 1982 | 67.931959 | NaN |
| 6173 | IDA & IBRD total | IBT | 1983 | 67.454420 | NaN |
| 6437 | IDA & IBRD total | IBT | 1984 | 66.963122 | NaN |
| 6701 | IDA & IBRD total | IBT | 1985 | 66.469758 | NaN |
| 6965 | IDA & IBRD total | IBT | 1986 | 65.981041 | NaN |
| 7229 | IDA & IBRD total | IBT | 1987 | 65.499071 | NaN |
| 7493 | IDA & IBRD total | IBT | 1988 | 65.019262 | NaN |
| 7757 | IDA & IBRD total | IBT | 1989 | 64.553376 | NaN |
| 8021 | IDA & IBRD total | IBT | 1990 | 64.102435 | 65.994595 |
| 8285 | IDA & IBRD total | IBT | 1991 | 63.654689 | 66.301953 |
| 8549 | IDA & IBRD total | IBT | 1992 | 63.210477 | 67.548845 |
| 8813 | IDA & IBRD total | IBT | 1993 | 62.766205 | 68.381135 |
| 9077 | IDA & IBRD total | IBT | 1994 | 62.327102 | 68.765875 |
| 9341 | IDA & IBRD total | IBT | 1995 | 61.887843 | 69.598886 |
| 9605 | IDA & IBRD total | IBT | 1996 | 61.447983 | 70.543360 |
| 9869 | IDA & IBRD total | IBT | 1997 | 61.000988 | 71.415187 |
| 10133 | IDA & IBRD total | IBT | 1998 | 60.548866 | 72.234085 |
| 10397 | IDA & IBRD total | IBT | 1999 | 60.093366 | 73.582367 |
| 10661 | IDA & IBRD total | IBT | 2000 | 59.631986 | 73.744756 |
| 10925 | IDA & IBRD total | IBT | 2001 | 59.121904 | 73.245716 |
| 11189 | IDA & IBRD total | IBT | 2002 | 58.565893 | 75.078670 |
| 11453 | IDA & IBRD total | IBT | 2003 | 58.002444 | 75.858639 |
| 11717 | IDA & IBRD total | IBT | 2004 | 57.432634 | 76.059466 |
| 11981 | IDA & IBRD total | IBT | 2005 | 56.858535 | 76.899605 |
| 12245 | IDA & IBRD total | IBT | 2006 | 56.290585 | 77.919548 |
| 12509 | IDA & IBRD total | IBT | 2007 | 55.725053 | 78.546627 |
| 12773 | IDA & IBRD total | IBT | 2008 | 55.153767 | 79.185065 |
| 13037 | IDA & IBRD total | IBT | 2009 | 54.581359 | 80.308836 |
| 13301 | IDA & IBRD total | IBT | 2010 | 54.008445 | 80.705262 |
| 13565 | IDA & IBRD total | IBT | 2011 | 53.435417 | 79.490885 |
| 13829 | IDA & IBRD total | IBT | 2012 | 52.867077 | 82.516607 |
| 14093 | IDA & IBRD total | IBT | 2013 | 52.307454 | 82.670870 |
| 14357 | IDA & IBRD total | IBT | 2014 | 51.757134 | 83.304665 |
| 14621 | IDA & IBRD total | IBT | 2015 | 51.216131 | 84.896393 |
| 14885 | IDA & IBRD total | IBT | 2016 | 50.685199 | 85.284665 |
| 15149 | IDA & IBRD total | IBT | 2017 | 50.163419 | NaN |
| 103 | IDA blend | IDB | 1960 | 81.255931 | NaN |
| 367 | IDA blend | IDB | 1961 | 80.914834 | NaN |
| 631 | IDA blend | IDB | 1962 | 80.621828 | NaN |
| 895 | IDA blend | IDB | 1963 | 80.319589 | NaN |
| 1159 | IDA blend | IDB | 1964 | 80.017791 | NaN |
| 1423 | IDA blend | IDB | 1965 | 79.711829 | NaN |
| 1687 | IDA blend | IDB | 1966 | 79.399629 | NaN |
| 1951 | IDA blend | IDB | 1967 | 79.077751 | NaN |
| 2215 | IDA blend | IDB | 1968 | 78.751351 | NaN |
| 2479 | IDA blend | IDB | 1969 | 78.422476 | NaN |
| 2743 | IDA blend | IDB | 1970 | 78.080254 | NaN |
| 3007 | IDA blend | IDB | 1971 | 77.654503 | NaN |
| 3271 | IDA blend | IDB | 1972 | 77.240963 | NaN |
| 3535 | IDA blend | IDB | 1973 | 76.806399 | NaN |
| 3799 | IDA blend | IDB | 1974 | 76.359714 | NaN |
| 4063 | IDA blend | IDB | 1975 | 75.908539 | NaN |
| 4327 | IDA blend | IDB | 1976 | 75.456856 | NaN |
| 4591 | IDA blend | IDB | 1977 | 75.025986 | NaN |
| 4855 | IDA blend | IDB | 1978 | 74.588866 | NaN |
| 5119 | IDA blend | IDB | 1979 | 74.164720 | NaN |
| 5383 | IDA blend | IDB | 1980 | 73.792932 | NaN |
| 5647 | IDA blend | IDB | 1981 | 73.352894 | NaN |
| 5911 | IDA blend | IDB | 1982 | 72.934225 | NaN |
| 6175 | IDA blend | IDB | 1983 | 72.506869 | NaN |
| 6439 | IDA blend | IDB | 1984 | 72.072547 | NaN |
| 6703 | IDA blend | IDB | 1985 | 71.636235 | NaN |
| 6967 | IDA blend | IDB | 1986 | 71.195294 | NaN |
| 7231 | IDA blend | IDB | 1987 | 70.751954 | NaN |
| 7495 | IDA blend | IDB | 1988 | 70.313399 | NaN |
| 7759 | IDA blend | IDB | 1989 | 69.890481 | NaN |
| 8023 | IDA blend | IDB | 1990 | 69.468883 | 43.750529 |
| 8287 | IDA blend | IDB | 1991 | 69.170616 | 45.798314 |
| 8551 | IDA blend | IDB | 1992 | 68.868495 | 47.648455 |
| 8815 | IDA blend | IDB | 1993 | 68.575577 | 49.202626 |
| 9079 | IDA blend | IDB | 1994 | 68.282371 | 49.887968 |
| 9343 | IDA blend | IDB | 1995 | 67.987026 | 51.139800 |
| 9607 | IDA blend | IDB | 1996 | 67.685341 | 52.302846 |
| 9871 | IDA blend | IDB | 1997 | 67.372902 | 53.365926 |
| 10135 | IDA blend | IDB | 1998 | 67.049176 | 53.864342 |
| 10399 | IDA blend | IDB | 1999 | 66.718908 | 56.718130 |
| 10663 | IDA blend | IDB | 2000 | 66.374883 | 56.439872 |
| 10927 | IDA blend | IDB | 2001 | 65.921124 | 58.048696 |
| 11191 | IDA blend | IDB | 2002 | 65.456701 | 58.516340 |
| 11455 | IDA blend | IDB | 2003 | 64.999215 | 61.481460 |
| 11719 | IDA blend | IDB | 2004 | 64.533058 | 60.498941 |
| 11983 | IDA blend | IDB | 2005 | 64.056268 | 62.070836 |
| 12247 | IDA blend | IDB | 2006 | 63.568420 | 62.455942 |
| 12511 | IDA blend | IDB | 2007 | 63.068299 | 65.174449 |
| 12775 | IDA blend | IDB | 2008 | 62.556475 | 64.515140 |
| 13039 | IDA blend | IDB | 2009 | 62.035474 | 66.350509 |
| 13303 | IDA blend | IDB | 2010 | 61.505649 | 64.387035 |
| 13567 | IDA blend | IDB | 2011 | 60.971374 | 68.655393 |
| 13831 | IDA blend | IDB | 2012 | 60.430681 | 68.796662 |
| 14095 | IDA blend | IDB | 2013 | 59.886518 | 69.749746 |
| 14359 | IDA blend | IDB | 2014 | 59.338100 | 71.175816 |
| 14623 | IDA blend | IDB | 2015 | 58.785597 | 69.575064 |
| 14887 | IDA blend | IDB | 2016 | 58.228842 | 75.527342 |
| 15151 | IDA blend | IDB | 2017 | 57.669042 | NaN |
| 105 | IDA only | IDX | 1960 | 88.725923 | NaN |
| 369 | IDA only | IDX | 1961 | 88.434927 | NaN |
| 633 | IDA only | IDX | 1962 | 88.122631 | NaN |
| 897 | IDA only | IDX | 1963 | 87.795432 | NaN |
| 1161 | IDA only | IDX | 1964 | 87.452205 | NaN |
| 1425 | IDA only | IDX | 1965 | 87.099986 | NaN |
| 1689 | IDA only | IDX | 1966 | 86.751755 | NaN |
| 1953 | IDA only | IDX | 1967 | 86.373637 | NaN |
| 2217 | IDA only | IDX | 1968 | 85.982232 | NaN |
| 2481 | IDA only | IDX | 1969 | 85.573646 | NaN |
| 2745 | IDA only | IDX | 1970 | 85.168961 | NaN |
| 3009 | IDA only | IDX | 1971 | 84.743871 | NaN |
| 3273 | IDA only | IDX | 1972 | 84.297705 | NaN |
| 3537 | IDA only | IDX | 1973 | 83.845371 | NaN |
| 3801 | IDA only | IDX | 1974 | 83.387845 | NaN |
| 4065 | IDA only | IDX | 1975 | 83.437297 | NaN |
| 4329 | IDA only | IDX | 1976 | 82.949474 | NaN |
| 4593 | IDA only | IDX | 1977 | 82.443161 | NaN |
| 4857 | IDA only | IDX | 1978 | 81.920034 | NaN |
| 5121 | IDA only | IDX | 1979 | 81.436274 | NaN |
| 5385 | IDA only | IDX | 1980 | 80.897048 | NaN |
| 5649 | IDA only | IDX | 1981 | 80.424742 | NaN |
| 5913 | IDA only | IDX | 1982 | 80.099097 | NaN |
| 6177 | IDA only | IDX | 1983 | 79.751734 | NaN |
| 6441 | IDA only | IDX | 1984 | 79.374992 | NaN |
| 6705 | IDA only | IDX | 1985 | 78.971618 | NaN |
| 6969 | IDA only | IDX | 1986 | 78.567688 | NaN |
| 7233 | IDA only | IDX | 1987 | 78.162148 | NaN |
| 7497 | IDA only | IDX | 1988 | 77.750137 | NaN |
| 7761 | IDA only | IDX | 1989 | 77.344262 | NaN |
| 8025 | IDA only | IDX | 1990 | 76.928887 | 14.414420 |
| 8289 | IDA only | IDX | 1991 | 76.540939 | 15.828773 |
| 8553 | IDA only | IDX | 1992 | 76.176914 | 16.399564 |
| 8817 | IDA only | IDX | 1993 | 75.824872 | 17.098629 |
| 9081 | IDA only | IDX | 1994 | 75.517747 | 17.878560 |
| 9345 | IDA only | IDX | 1995 | 75.212894 | 19.308323 |
| 9609 | IDA only | IDX | 1996 | 74.907333 | 20.846425 |
| 9873 | IDA only | IDX | 1997 | 74.592792 | 21.071416 |
| 10137 | IDA only | IDX | 1998 | 74.284576 | 23.151391 |
| 10401 | IDA only | IDX | 1999 | 73.973032 | 24.069539 |
| 10665 | IDA only | IDX | 2000 | 73.651538 | 25.518269 |
| 10929 | IDA only | IDX | 2001 | 73.285561 | 26.176940 |
| 11193 | IDA only | IDX | 2002 | 72.891950 | 27.513681 |
| 11457 | IDA only | IDX | 2003 | 72.479737 | 28.874178 |
| 11721 | IDA only | IDX | 2004 | 72.054889 | 29.550044 |
| 11985 | IDA only | IDX | 2005 | 71.613687 | 30.789583 |
| 12249 | IDA only | IDX | 2006 | 71.160818 | 33.479668 |
| 12513 | IDA only | IDX | 2007 | 70.694899 | 33.988489 |
| 12777 | IDA only | IDX | 2008 | 70.207585 | 35.191255 |
| 13041 | IDA only | IDX | 2009 | 69.720559 | 36.205221 |
| 13305 | IDA only | IDX | 2010 | 69.236755 | 36.991816 |
| 13569 | IDA only | IDX | 2011 | 68.757830 | 38.714681 |
| 13833 | IDA only | IDX | 2012 | 68.282198 | 40.791442 |
| 14097 | IDA only | IDX | 2013 | 67.807401 | 41.567301 |
| 14361 | IDA only | IDX | 2014 | 67.328143 | 43.341241 |
| 14625 | IDA only | IDX | 2015 | 66.841542 | 44.855856 |
| 14889 | IDA only | IDX | 2016 | 66.347481 | 48.741813 |
| 15153 | IDA only | IDX | 2017 | 65.847238 | NaN |
| 102 | IDA total | IDA | 1960 | 86.313962 | NaN |
| 366 | IDA total | IDA | 1961 | 86.007731 | NaN |
| 630 | IDA total | IDA | 1962 | 85.702081 | NaN |
| 894 | IDA total | IDA | 1963 | 85.383159 | NaN |
| 1158 | IDA total | IDA | 1964 | 85.053674 | NaN |
| 1422 | IDA total | IDA | 1965 | 84.717016 | NaN |
| 1686 | IDA total | IDA | 1966 | 84.381413 | NaN |
| 1950 | IDA total | IDA | 1967 | 84.022551 | NaN |
| 2214 | IDA total | IDA | 1968 | 83.652913 | NaN |
| 2478 | IDA total | IDA | 1969 | 83.269946 | NaN |
| 2742 | IDA total | IDA | 1970 | 82.884111 | NaN |
| 3006 | IDA total | IDA | 1971 | 82.456338 | NaN |
| 3270 | IDA total | IDA | 1972 | 82.017255 | NaN |
| 3534 | IDA total | IDA | 1973 | 81.566262 | NaN |
| 3798 | IDA total | IDA | 1974 | 81.107016 | NaN |
| 4062 | IDA total | IDA | 1975 | 80.987625 | NaN |
| 4326 | IDA total | IDA | 1976 | 80.504499 | NaN |
| 4590 | IDA total | IDA | 1977 | 80.015268 | NaN |
| 4854 | IDA total | IDA | 1978 | 79.512556 | NaN |
| 5118 | IDA total | IDA | 1979 | 79.040739 | NaN |
| 5382 | IDA total | IDA | 1980 | 78.549464 | NaN |
| 5646 | IDA total | IDA | 1981 | 78.081049 | NaN |
| 5910 | IDA total | IDA | 1982 | 77.718181 | NaN |
| 6174 | IDA total | IDA | 1983 | 77.338250 | NaN |
| 6438 | IDA total | IDA | 1984 | 76.936720 | NaN |
| 6702 | IDA total | IDA | 1985 | 76.517160 | NaN |
| 6966 | IDA total | IDA | 1986 | 76.096038 | NaN |
| 7230 | IDA total | IDA | 1987 | 75.673517 | NaN |
| 7494 | IDA total | IDA | 1988 | 75.249164 | NaN |
| 7758 | IDA total | IDA | 1989 | 74.835533 | NaN |
| 8022 | IDA total | IDA | 1990 | 74.417331 | 24.269158 |
| 8286 | IDA total | IDA | 1991 | 74.061008 | 25.890663 |
| 8550 | IDA total | IDA | 1992 | 73.720222 | 26.880903 |
| 8814 | IDA total | IDA | 1993 | 73.391141 | 27.853370 |
| 9078 | IDA total | IDA | 1994 | 73.092178 | 28.586439 |
| 9342 | IDA total | IDA | 1995 | 72.793911 | 29.941961 |
| 9606 | IDA total | IDA | 1996 | 72.492345 | 31.343285 |
| 9870 | IDA total | IDA | 1997 | 72.180815 | 31.837902 |
| 10134 | IDA total | IDA | 1998 | 71.869814 | 33.382153 |
| 10398 | IDA total | IDA | 1999 | 71.555226 | 34.933266 |
| 10662 | IDA total | IDA | 2000 | 71.229473 | 35.794550 |
| 10926 | IDA total | IDA | 2001 | 70.838109 | 36.752812 |
| 11190 | IDA total | IDA | 2002 | 70.425097 | 37.784319 |
| 11454 | IDA total | IDA | 2003 | 70.002010 | 39.658722 |
| 11718 | IDA total | IDA | 2004 | 69.567165 | 39.771290 |
| 11982 | IDA total | IDA | 2005 | 69.117102 | 41.108900 |
| 12246 | IDA total | IDA | 2006 | 68.654757 | 43.030875 |
| 12510 | IDA total | IDA | 2007 | 68.178728 | 44.263457 |
| 12774 | IDA total | IDA | 2008 | 67.683660 | 44.851641 |
| 13038 | IDA total | IDA | 2009 | 67.185089 | 46.137726 |
| 13302 | IDA total | IDA | 2010 | 66.684011 | 46.025787 |
| 13566 | IDA total | IDA | 2011 | 66.184338 | 48.597742 |
| 13830 | IDA total | IDA | 2012 | 65.685671 | 50.041249 |
| 14094 | IDA total | IDA | 2013 | 65.186186 | 50.882002 |
| 14358 | IDA total | IDA | 2014 | 64.682338 | 52.547162 |
| 14622 | IDA total | IDA | 2015 | 64.172569 | 53.035861 |
| 14886 | IDA total | IDA | 2016 | 63.656859 | 57.608645 |
| 15150 | IDA total | IDA | 2017 | 63.136496 | NaN |
| 112 | Iceland | ISL | 1960 | 19.700000 | NaN |
| 376 | Iceland | ISL | 1961 | 19.197000 | NaN |
| 640 | Iceland | ISL | 1962 | 18.703000 | NaN |
| 904 | Iceland | ISL | 1963 | 18.219000 | NaN |
| 1168 | Iceland | ISL | 1964 | 17.744000 | NaN |
| 1432 | Iceland | ISL | 1965 | 17.280000 | NaN |
| 1696 | Iceland | ISL | 1966 | 16.825000 | NaN |
| 1960 | Iceland | ISL | 1967 | 16.379000 | NaN |
| 2224 | Iceland | ISL | 1968 | 15.943000 | NaN |
| 2488 | Iceland | ISL | 1969 | 15.517000 | NaN |
| 2752 | Iceland | ISL | 1970 | 15.100000 | NaN |
| 3016 | Iceland | ISL | 1971 | 14.731000 | NaN |
| 3280 | Iceland | ISL | 1972 | 14.370000 | NaN |
| 3544 | Iceland | ISL | 1973 | 14.017000 | NaN |
| 3808 | Iceland | ISL | 1974 | 13.670000 | NaN |
| 4072 | Iceland | ISL | 1975 | 13.331000 | NaN |
| 4336 | Iceland | ISL | 1976 | 12.998000 | NaN |
| 4600 | Iceland | ISL | 1977 | 12.674000 | NaN |
| 4864 | Iceland | ISL | 1978 | 12.356000 | NaN |
| 5128 | Iceland | ISL | 1979 | 12.045000 | NaN |
| 5392 | Iceland | ISL | 1980 | 11.740000 | NaN |
| 5656 | Iceland | ISL | 1981 | 11.467000 | NaN |
| 5920 | Iceland | ISL | 1982 | 11.200000 | NaN |
| 6184 | Iceland | ISL | 1983 | 10.938000 | NaN |
| 6448 | Iceland | ISL | 1984 | 10.681000 | NaN |
| 6712 | Iceland | ISL | 1985 | 10.430000 | NaN |
| 6976 | Iceland | ISL | 1986 | 10.184000 | NaN |
| 7240 | Iceland | ISL | 1987 | 9.943000 | NaN |
| 7504 | Iceland | ISL | 1988 | 9.706000 | NaN |
| 7768 | Iceland | ISL | 1989 | 9.476000 | NaN |
| 8032 | Iceland | ISL | 1990 | 9.250000 | 100.000000 |
| 8296 | Iceland | ISL | 1991 | 9.068000 | 100.000000 |
| 8560 | Iceland | ISL | 1992 | 8.888000 | 100.000000 |
| 8824 | Iceland | ISL | 1993 | 8.713000 | 100.000000 |
| 9088 | Iceland | ISL | 1994 | 8.540000 | 100.000000 |
| 9352 | Iceland | ISL | 1995 | 8.370000 | 100.000000 |
| 9616 | Iceland | ISL | 1996 | 8.203000 | 100.000000 |
| 9880 | Iceland | ISL | 1997 | 8.040000 | 100.000000 |
| 10144 | Iceland | ISL | 1998 | 7.879000 | 100.000000 |
| 10408 | Iceland | ISL | 1999 | 7.733000 | 100.000000 |
| 10672 | Iceland | ISL | 2000 | 7.599000 | 100.000000 |
| 10936 | Iceland | ISL | 2001 | 7.468000 | 100.000000 |
| 11200 | Iceland | ISL | 2002 | 7.338000 | 100.000000 |
| 11464 | Iceland | ISL | 2003 | 7.211000 | 100.000000 |
| 11728 | Iceland | ISL | 2004 | 7.086000 | 100.000000 |
| 11992 | Iceland | ISL | 2005 | 6.963000 | 100.000000 |
| 12256 | Iceland | ISL | 2006 | 6.841000 | 100.000000 |
| 12520 | Iceland | ISL | 2007 | 6.722000 | 100.000000 |
| 12784 | Iceland | ISL | 2008 | 6.605000 | 100.000000 |
| 13048 | Iceland | ISL | 2009 | 6.489000 | 100.000000 |
| 13312 | Iceland | ISL | 2010 | 6.376000 | 100.000000 |
| 13576 | Iceland | ISL | 2011 | 6.266000 | 100.000000 |
| 13840 | Iceland | ISL | 2012 | 6.160000 | 100.000000 |
| 14104 | Iceland | ISL | 2013 | 6.058000 | 100.000000 |
| 14368 | Iceland | ISL | 2014 | 5.958000 | 100.000000 |
| 14632 | Iceland | ISL | 2015 | 5.863000 | 100.000000 |
| 14896 | Iceland | ISL | 2016 | 5.770000 | 100.000000 |
| 15160 | Iceland | ISL | 2017 | 5.681000 | NaN |
| 107 | India | IND | 1960 | 82.076000 | NaN |
| 371 | India | IND | 1961 | 81.968000 | NaN |
| 635 | India | IND | 1962 | 81.782000 | NaN |
| 899 | India | IND | 1963 | 81.595000 | NaN |
| 1163 | India | IND | 1964 | 81.405000 | NaN |
| 1427 | India | IND | 1965 | 81.215000 | NaN |
| 1691 | India | IND | 1966 | 81.023000 | NaN |
| 1955 | India | IND | 1967 | 80.829000 | NaN |
| 2219 | India | IND | 1968 | 80.634000 | NaN |
| 2483 | India | IND | 1969 | 80.438000 | NaN |
| 2747 | India | IND | 1970 | 80.240000 | NaN |
| 3011 | India | IND | 1971 | 80.009000 | NaN |
| 3275 | India | IND | 1972 | 79.679000 | NaN |
| 3539 | India | IND | 1973 | 79.347000 | NaN |
| 3803 | India | IND | 1974 | 79.009000 | NaN |
| 4067 | India | IND | 1975 | 78.668000 | NaN |
| 4331 | India | IND | 1976 | 78.323000 | NaN |
| 4595 | India | IND | 1977 | 77.974000 | NaN |
| 4859 | India | IND | 1978 | 77.621000 | NaN |
| 5123 | India | IND | 1979 | 77.264000 | NaN |
| 5387 | India | IND | 1980 | 76.902000 | NaN |
| 5651 | India | IND | 1981 | 76.583000 | NaN |
| 5915 | India | IND | 1982 | 76.353000 | NaN |
| 6179 | India | IND | 1983 | 76.121000 | NaN |
| 6443 | India | IND | 1984 | 75.887000 | NaN |
| 6707 | India | IND | 1985 | 75.652000 | NaN |
| 6971 | India | IND | 1986 | 75.415000 | NaN |
| 7235 | India | IND | 1987 | 75.177000 | NaN |
| 7499 | India | IND | 1988 | 74.937000 | NaN |
| 7763 | India | IND | 1989 | 74.695000 | NaN |
| 8027 | India | IND | 1990 | 74.453000 | 43.291561 |
| 8291 | India | IND | 1991 | 74.222000 | 44.938995 |
| 8555 | India | IND | 1992 | 74.016000 | 46.585922 |
| 8819 | India | IND | 1993 | 73.809000 | 50.900000 |
| 9083 | India | IND | 1994 | 73.601000 | 49.867535 |
| 9347 | India | IND | 1995 | 73.393000 | 51.496105 |
| 9611 | India | IND | 1996 | 73.183000 | 53.112438 |
| 9875 | India | IND | 1997 | 72.972000 | 54.713474 |
| 10139 | India | IND | 1998 | 72.760000 | 56.296158 |
| 10403 | India | IND | 1999 | 72.547000 | 60.100000 |
| 10667 | India | IND | 2000 | 72.333000 | 59.395744 |
| 10931 | India | IND | 2001 | 72.082000 | 55.800000 |
| 11195 | India | IND | 2002 | 71.756000 | 62.300000 |
| 11459 | India | IND | 2003 | 71.428000 | 63.924492 |
| 11723 | India | IND | 2004 | 71.097000 | 64.400000 |
| 11987 | India | IND | 2005 | 70.765000 | 66.932449 |
| 12251 | India | IND | 2006 | 70.431000 | 67.900000 |
| 12515 | India | IND | 2007 | 70.094000 | 69.988022 |
| 12779 | India | IND | 2008 | 69.754000 | 71.547318 |
| 13043 | India | IND | 2009 | 69.413000 | 75.000000 |
| 13307 | India | IND | 2010 | 69.070000 | 76.300000 |
| 13571 | India | IND | 2011 | 68.724000 | 67.600000 |
| 13835 | India | IND | 2012 | 68.369000 | 79.900000 |
| 14099 | India | IND | 2013 | 68.006000 | 79.599113 |
| 14363 | India | IND | 2014 | 67.634000 | 81.239510 |
| 14627 | India | IND | 2015 | 67.253000 | 88.000000 |
| 14891 | India | IND | 2016 | 66.864000 | 84.526817 |
| 15155 | India | IND | 2017 | 66.465000 | NaN |
| 104 | Indonesia | IDN | 1960 | 85.414000 | NaN |
| 368 | Indonesia | IDN | 1961 | 85.179000 | NaN |
| 632 | Indonesia | IDN | 1962 | 84.942000 | NaN |
| 896 | Indonesia | IDN | 1963 | 84.701000 | NaN |
| 1160 | Indonesia | IDN | 1964 | 84.457000 | NaN |
| 1424 | Indonesia | IDN | 1965 | 84.211000 | NaN |
| 1688 | Indonesia | IDN | 1966 | 83.961000 | NaN |
| 1952 | Indonesia | IDN | 1967 | 83.707000 | NaN |
| 2216 | Indonesia | IDN | 1968 | 83.451000 | NaN |
| 2480 | Indonesia | IDN | 1969 | 83.191000 | NaN |
| 2744 | Indonesia | IDN | 1970 | 82.929000 | NaN |
| 3008 | Indonesia | IDN | 1971 | 82.662000 | NaN |
| 3272 | Indonesia | IDN | 1972 | 82.221000 | NaN |
| 3536 | Indonesia | IDN | 1973 | 81.720000 | NaN |
| 3800 | Indonesia | IDN | 1974 | 81.207000 | NaN |
| 4064 | Indonesia | IDN | 1975 | 80.683000 | NaN |
| 4328 | Indonesia | IDN | 1976 | 80.147000 | NaN |
| 4592 | Indonesia | IDN | 1977 | 79.602000 | NaN |
| 4856 | Indonesia | IDN | 1978 | 79.044000 | NaN |
| 5120 | Indonesia | IDN | 1979 | 78.476000 | NaN |
| 5384 | Indonesia | IDN | 1980 | 77.896000 | NaN |
| 5648 | Indonesia | IDN | 1981 | 77.185000 | NaN |
| 5912 | Indonesia | IDN | 1982 | 76.394000 | NaN |
| 6176 | Indonesia | IDN | 1983 | 75.585000 | NaN |
| 6440 | Indonesia | IDN | 1984 | 74.756000 | NaN |
| 6704 | Indonesia | IDN | 1985 | 73.911000 | NaN |
| 6968 | Indonesia | IDN | 1986 | 73.047000 | NaN |
| 7232 | Indonesia | IDN | 1987 | 72.165000 | NaN |
| 7496 | Indonesia | IDN | 1988 | 71.264000 | NaN |
| 7760 | Indonesia | IDN | 1989 | 70.349000 | NaN |
| 8024 | Indonesia | IDN | 1990 | 69.416000 | 61.701145 |
| 8288 | Indonesia | IDN | 1991 | 68.387000 | 48.900000 |
| 8552 | Indonesia | IDN | 1992 | 67.297000 | 65.109184 |
| 8816 | Indonesia | IDN | 1993 | 66.192000 | 55.430000 |
| 9080 | Indonesia | IDN | 1994 | 65.067000 | 62.800000 |
| 9344 | Indonesia | IDN | 1995 | 63.924000 | 66.860000 |
| 9608 | Indonesia | IDN | 1996 | 62.765000 | 72.390000 |
| 9872 | Indonesia | IDN | 1997 | 61.594000 | 80.300000 |
| 10136 | Indonesia | IDN | 1998 | 60.407000 | 80.940000 |
| 10400 | Indonesia | IDN | 1999 | 59.208000 | 83.730000 |
| 10664 | Indonesia | IDN | 2000 | 57.998000 | 86.300000 |
| 10928 | Indonesia | IDN | 2001 | 57.218000 | 86.260000 |
| 11192 | Indonesia | IDN | 2002 | 56.434000 | 87.600000 |
| 11456 | Indonesia | IDN | 2003 | 55.647000 | 87.940000 |
| 11720 | Indonesia | IDN | 2004 | 54.855000 | 89.010000 |
| 11984 | Indonesia | IDN | 2005 | 54.063000 | 86.194626 |
| 12248 | Indonesia | IDN | 2006 | 53.268000 | 90.620000 |
| 12512 | Indonesia | IDN | 2007 | 52.472000 | 91.100000 |
| 12776 | Indonesia | IDN | 2008 | 51.673000 | 92.730000 |
| 13040 | Indonesia | IDN | 2009 | 50.876000 | 93.550000 |
| 13304 | Indonesia | IDN | 2010 | 50.076000 | 94.150000 |
| 13568 | Indonesia | IDN | 2011 | 49.288000 | 94.830000 |
| 13832 | Indonesia | IDN | 2012 | 48.512000 | 96.000000 |
| 14096 | Indonesia | IDN | 2013 | 47.748000 | 96.464258 |
| 14360 | Indonesia | IDN | 2014 | 46.997000 | 97.010000 |
| 14624 | Indonesia | IDN | 2015 | 46.258000 | 97.537367 |
| 14888 | Indonesia | IDN | 2016 | 45.534000 | 97.620000 |
| 15152 | Indonesia | IDN | 2017 | 44.823000 | NaN |
| 110 | Iran, Islamic Rep. | IRN | 1960 | 66.265000 | NaN |
| 374 | Iran, Islamic Rep. | IRN | 1961 | 65.611000 | NaN |
| 638 | Iran, Islamic Rep. | IRN | 1962 | 64.949000 | NaN |
| 902 | Iran, Islamic Rep. | IRN | 1963 | 64.282000 | NaN |
| 1166 | Iran, Islamic Rep. | IRN | 1964 | 63.609000 | NaN |
| 1430 | Iran, Islamic Rep. | IRN | 1965 | 62.932000 | NaN |
| 1694 | Iran, Islamic Rep. | IRN | 1966 | 62.248000 | NaN |
| 1958 | Iran, Islamic Rep. | IRN | 1967 | 61.443000 | NaN |
| 2222 | Iran, Islamic Rep. | IRN | 1968 | 60.563000 | NaN |
| 2486 | Iran, Islamic Rep. | IRN | 1969 | 59.679000 | NaN |
| 2750 | Iran, Islamic Rep. | IRN | 1970 | 58.788000 | NaN |
| 3014 | Iran, Islamic Rep. | IRN | 1971 | 57.890000 | NaN |
| 3278 | Iran, Islamic Rep. | IRN | 1972 | 56.986000 | NaN |
| 3542 | Iran, Islamic Rep. | IRN | 1973 | 56.080000 | NaN |
| 3806 | Iran, Islamic Rep. | IRN | 1974 | 55.168000 | NaN |
| 4070 | Iran, Islamic Rep. | IRN | 1975 | 54.253000 | NaN |
| 4334 | Iran, Islamic Rep. | IRN | 1976 | 53.334000 | NaN |
| 4598 | Iran, Islamic Rep. | IRN | 1977 | 52.530000 | NaN |
| 4862 | Iran, Islamic Rep. | IRN | 1978 | 51.790000 | NaN |
| 5126 | Iran, Islamic Rep. | IRN | 1979 | 51.049000 | NaN |
| 5390 | Iran, Islamic Rep. | IRN | 1980 | 50.307000 | NaN |
| 5654 | Iran, Islamic Rep. | IRN | 1981 | 49.566000 | NaN |
| 5918 | Iran, Islamic Rep. | IRN | 1982 | 48.825000 | NaN |
| 6182 | Iran, Islamic Rep. | IRN | 1983 | 48.084000 | NaN |
| 6446 | Iran, Islamic Rep. | IRN | 1984 | 47.343000 | NaN |
| 6710 | Iran, Islamic Rep. | IRN | 1985 | 46.605000 | NaN |
| 6974 | Iran, Islamic Rep. | IRN | 1986 | 45.867000 | NaN |
| 7238 | Iran, Islamic Rep. | IRN | 1987 | 45.283000 | NaN |
| 7502 | Iran, Islamic Rep. | IRN | 1988 | 44.743000 | NaN |
| 7766 | Iran, Islamic Rep. | IRN | 1989 | 44.206000 | NaN |
| 8030 | Iran, Islamic Rep. | IRN | 1990 | 43.670000 | 95.579506 |
| 8294 | Iran, Islamic Rep. | IRN | 1991 | 43.135000 | 95.832115 |
| 8558 | Iran, Islamic Rep. | IRN | 1992 | 42.347000 | 96.084213 |
| 8822 | Iran, Islamic Rep. | IRN | 1993 | 41.481000 | 96.333260 |
| 9086 | Iran, Islamic Rep. | IRN | 1994 | 40.620000 | 96.576180 |
| 9350 | Iran, Islamic Rep. | IRN | 1995 | 39.764000 | 96.809929 |
| 9614 | Iran, Islamic Rep. | IRN | 1996 | 38.913000 | 97.031433 |
| 9878 | Iran, Islamic Rep. | IRN | 1997 | 38.147000 | 97.237648 |
| 10142 | Iran, Islamic Rep. | IRN | 1998 | 37.412000 | 97.425514 |
| 10406 | Iran, Islamic Rep. | IRN | 1999 | 36.682000 | 97.591957 |
| 10670 | Iran, Islamic Rep. | IRN | 2000 | 35.958000 | 97.900000 |
| 10934 | Iran, Islamic Rep. | IRN | 2001 | 35.242000 | 97.860535 |
| 11198 | Iran, Islamic Rep. | IRN | 2002 | 34.532000 | 97.973274 |
| 11462 | Iran, Islamic Rep. | IRN | 2003 | 33.828000 | 98.079559 |
| 11726 | Iran, Islamic Rep. | IRN | 2004 | 33.131000 | 98.190338 |
| 11990 | Iran, Islamic Rep. | IRN | 2005 | 32.442000 | 98.306938 |
| 12254 | Iran, Islamic Rep. | IRN | 2006 | 31.761000 | 98.400000 |
| 12518 | Iran, Islamic Rep. | IRN | 2007 | 31.136000 | 98.579857 |
| 12782 | Iran, Islamic Rep. | IRN | 2008 | 30.542000 | 98.743874 |
| 13046 | Iran, Islamic Rep. | IRN | 2009 | 29.955000 | 98.927429 |
| 13310 | Iran, Islamic Rep. | IRN | 2010 | 29.374000 | 99.128708 |
| 13574 | Iran, Islamic Rep. | IRN | 2011 | 28.800000 | 99.344193 |
| 13838 | Iran, Islamic Rep. | IRN | 2012 | 28.231000 | 99.563766 |
| 14102 | Iran, Islamic Rep. | IRN | 2013 | 27.680000 | 99.761780 |
| 14366 | Iran, Islamic Rep. | IRN | 2014 | 27.145000 | 100.000000 |
| 14630 | Iran, Islamic Rep. | IRN | 2015 | 26.625000 | 99.975052 |
| 14894 | Iran, Islamic Rep. | IRN | 2016 | 26.121000 | 100.000000 |
| 15158 | Iran, Islamic Rep. | IRN | 2017 | 25.632000 | NaN |
| 111 | Iraq | IRQ | 1960 | 57.101000 | NaN |
| 375 | Iraq | IRQ | 1961 | 55.568000 | NaN |
| 639 | Iraq | IRQ | 1962 | 54.022000 | NaN |
| 903 | Iraq | IRQ | 1963 | 52.468000 | NaN |
| 1167 | Iraq | IRQ | 1964 | 50.907000 | NaN |
| 1431 | Iraq | IRQ | 1965 | 49.349000 | NaN |
| 1695 | Iraq | IRQ | 1966 | 48.132000 | NaN |
| 1959 | Iraq | IRQ | 1967 | 47.055000 | NaN |
| 2223 | Iraq | IRQ | 1968 | 45.980000 | NaN |
| 2487 | Iraq | IRQ | 1969 | 44.911000 | NaN |
| 2751 | Iraq | IRQ | 1970 | 43.846000 | NaN |
| 3015 | Iraq | IRQ | 1971 | 42.786000 | NaN |
| 3279 | Iraq | IRQ | 1972 | 41.731000 | NaN |
| 3543 | Iraq | IRQ | 1973 | 40.687000 | NaN |
| 3807 | Iraq | IRQ | 1974 | 39.649000 | NaN |
| 4071 | Iraq | IRQ | 1975 | 38.621000 | NaN |
| 4335 | Iraq | IRQ | 1976 | 37.602000 | NaN |
| 4599 | Iraq | IRQ | 1977 | 36.596000 | NaN |
| 4863 | Iraq | IRQ | 1978 | 35.822000 | NaN |
| 5127 | Iraq | IRQ | 1979 | 35.148000 | NaN |
| 5391 | Iraq | IRQ | 1980 | 34.479000 | NaN |
| 5655 | Iraq | IRQ | 1981 | 33.817000 | NaN |
| 5919 | Iraq | IRQ | 1982 | 33.161000 | NaN |
| 6183 | Iraq | IRQ | 1983 | 32.512000 | NaN |
| 6447 | Iraq | IRQ | 1984 | 31.868000 | NaN |
| 6711 | Iraq | IRQ | 1985 | 31.233000 | NaN |
| 6975 | Iraq | IRQ | 1986 | 30.604000 | NaN |
| 7239 | Iraq | IRQ | 1987 | 29.983000 | NaN |
| 7503 | Iraq | IRQ | 1988 | 29.928000 | NaN |
| 7767 | Iraq | IRQ | 1989 | 30.111000 | NaN |
| 8031 | Iraq | IRQ | 1990 | 30.294000 | 93.480209 |
| 8295 | Iraq | IRQ | 1991 | 30.478000 | 93.805679 |
| 8559 | Iraq | IRQ | 1992 | 30.663000 | 94.130638 |
| 8823 | Iraq | IRQ | 1993 | 30.848000 | 94.452538 |
| 9087 | Iraq | IRQ | 1994 | 31.034000 | 94.768326 |
| 9351 | Iraq | IRQ | 1995 | 31.220000 | 95.074928 |
| 9615 | Iraq | IRQ | 1996 | 31.407000 | 95.369293 |
| 9879 | Iraq | IRQ | 1997 | 31.595000 | 95.648369 |
| 10143 | Iraq | IRQ | 1998 | 31.612000 | 95.909088 |
| 10407 | Iraq | IRQ | 1999 | 31.558000 | 96.148392 |
| 10671 | Iraq | IRQ | 2000 | 31.504000 | 96.364746 |
| 10935 | Iraq | IRQ | 2001 | 31.450000 | 96.562691 |
| 11199 | Iraq | IRQ | 2002 | 31.396000 | 96.748283 |
| 11463 | Iraq | IRQ | 2003 | 31.342000 | 96.927597 |
| 11727 | Iraq | IRQ | 2004 | 31.288000 | 97.106689 |
| 11991 | Iraq | IRQ | 2005 | 31.234000 | 97.291618 |
| 12255 | Iraq | IRQ | 2006 | 31.181000 | 97.622112 |
| 12519 | Iraq | IRQ | 2007 | 31.127000 | 98.100000 |
| 12783 | Iraq | IRQ | 2008 | 31.073000 | 97.940598 |
| 13047 | Iraq | IRQ | 2009 | 31.020000 | 98.212456 |
| 13311 | Iraq | IRQ | 2010 | 30.966000 | 98.486603 |
| 13575 | Iraq | IRQ | 2011 | 30.902000 | 98.000000 |
| 13839 | Iraq | IRQ | 2012 | 30.825000 | 99.300000 |
| 14103 | Iraq | IRQ | 2013 | 30.738000 | 99.379601 |
| 14367 | Iraq | IRQ | 2014 | 30.639000 | 99.655411 |
| 14631 | Iraq | IRQ | 2015 | 30.529000 | 99.862183 |
| 14895 | Iraq | IRQ | 2016 | 30.408000 | 100.000000 |
| 15159 | Iraq | IRQ | 2017 | 30.277000 | NaN |
| 109 | Ireland | IRL | 1960 | 54.178000 | NaN |
| 373 | Ireland | IRL | 1961 | 53.760000 | NaN |
| 637 | Ireland | IRL | 1962 | 53.144000 | NaN |
| 901 | Ireland | IRL | 1963 | 52.527000 | NaN |
| 1165 | Ireland | IRL | 1964 | 51.909000 | NaN |
| 1429 | Ireland | IRL | 1965 | 51.291000 | NaN |
| 1693 | Ireland | IRL | 1966 | 50.677000 | NaN |
| 1957 | Ireland | IRL | 1967 | 50.077000 | NaN |
| 2221 | Ireland | IRL | 1968 | 49.476000 | NaN |
| 2485 | Ireland | IRL | 1969 | 48.877000 | NaN |
| 2749 | Ireland | IRL | 1970 | 48.278000 | NaN |
| 3013 | Ireland | IRL | 1971 | 47.731000 | NaN |
| 3277 | Ireland | IRL | 1972 | 47.389000 | NaN |
| 3541 | Ireland | IRL | 1973 | 47.048000 | NaN |
| 3805 | Ireland | IRL | 1974 | 46.706000 | NaN |
| 4069 | Ireland | IRL | 1975 | 46.366000 | NaN |
| 4333 | Ireland | IRL | 1976 | 46.025000 | NaN |
| 4597 | Ireland | IRL | 1977 | 45.685000 | NaN |
| 4861 | Ireland | IRL | 1978 | 45.345000 | NaN |
| 5125 | Ireland | IRL | 1979 | 45.006000 | NaN |
| 5389 | Ireland | IRL | 1980 | 44.667000 | NaN |
| 5653 | Ireland | IRL | 1981 | 44.366000 | NaN |
| 5917 | Ireland | IRL | 1982 | 44.206000 | NaN |
| 6181 | Ireland | IRL | 1983 | 44.045000 | NaN |
| 6445 | Ireland | IRL | 1984 | 43.885000 | NaN |
| 6709 | Ireland | IRL | 1985 | 43.725000 | NaN |
| 6973 | Ireland | IRL | 1986 | 43.574000 | NaN |
| 7237 | Ireland | IRL | 1987 | 43.454000 | NaN |
| 7501 | Ireland | IRL | 1988 | 43.334000 | NaN |
| 7765 | Ireland | IRL | 1989 | 43.214000 | NaN |
| 8029 | Ireland | IRL | 1990 | 43.094000 | 100.000000 |
| 8293 | Ireland | IRL | 1991 | 42.954000 | 100.000000 |
| 8557 | Ireland | IRL | 1992 | 42.735000 | 100.000000 |
| 8821 | Ireland | IRL | 1993 | 42.516000 | 100.000000 |
| 9085 | Ireland | IRL | 1994 | 42.298000 | 100.000000 |
| 9349 | Ireland | IRL | 1995 | 42.080000 | 100.000000 |
| 9613 | Ireland | IRL | 1996 | 41.856000 | 100.000000 |
| 9877 | Ireland | IRL | 1997 | 41.605000 | 100.000000 |
| 10141 | Ireland | IRL | 1998 | 41.355000 | 100.000000 |
| 10405 | Ireland | IRL | 1999 | 41.104000 | 100.000000 |
| 10669 | Ireland | IRL | 2000 | 40.854000 | 100.000000 |
| 10933 | Ireland | IRL | 2001 | 40.605000 | 100.000000 |
| 11197 | Ireland | IRL | 2002 | 40.351000 | 100.000000 |
| 11461 | Ireland | IRL | 2003 | 40.075000 | 100.000000 |
| 11725 | Ireland | IRL | 2004 | 39.798000 | 100.000000 |
| 11989 | Ireland | IRL | 2005 | 39.523000 | 100.000000 |
| 12253 | Ireland | IRL | 2006 | 39.248000 | 100.000000 |
| 12517 | Ireland | IRL | 2007 | 38.975000 | 100.000000 |
| 12781 | Ireland | IRL | 2008 | 38.702000 | 100.000000 |
| 13045 | Ireland | IRL | 2009 | 38.431000 | 100.000000 |
| 13309 | Ireland | IRL | 2010 | 38.160000 | 100.000000 |
| 13573 | Ireland | IRL | 2011 | 37.889000 | 100.000000 |
| 13837 | Ireland | IRL | 2012 | 37.614000 | 100.000000 |
| 14101 | Ireland | IRL | 2013 | 37.333000 | 100.000000 |
| 14365 | Ireland | IRL | 2014 | 37.048000 | 100.000000 |
| 14629 | Ireland | IRL | 2015 | 36.759000 | 100.000000 |
| 14893 | Ireland | IRL | 2016 | 36.465000 | 100.000000 |
| 15157 | Ireland | IRL | 2017 | 36.166000 | NaN |
| 106 | Isle of Man | IMN | 1960 | 44.877000 | NaN |
| 370 | Isle of Man | IMN | 1961 | 44.655000 | NaN |
| 634 | Isle of Man | IMN | 1962 | 44.414000 | NaN |
| 898 | Isle of Man | IMN | 1963 | 44.174000 | NaN |
| 1162 | Isle of Man | IMN | 1964 | 43.934000 | NaN |
| 1426 | Isle of Man | IMN | 1965 | 43.695000 | NaN |
| 1690 | Isle of Man | IMN | 1966 | 43.530000 | NaN |
| 1954 | Isle of Man | IMN | 1967 | 43.689000 | NaN |
| 2218 | Isle of Man | IMN | 1968 | 43.849000 | NaN |
| 2482 | Isle of Man | IMN | 1969 | 44.009000 | NaN |
| 2746 | Isle of Man | IMN | 1970 | 44.169000 | NaN |
| 3010 | Isle of Man | IMN | 1971 | 44.444000 | NaN |
| 3274 | Isle of Man | IMN | 1972 | 45.230000 | NaN |
| 3538 | Isle of Man | IMN | 1973 | 46.017000 | NaN |
| 3802 | Isle of Man | IMN | 1974 | 46.806000 | NaN |
| 4066 | Isle of Man | IMN | 1975 | 47.597000 | NaN |
| 4330 | Isle of Man | IMN | 1976 | 48.201000 | NaN |
| 4594 | Isle of Man | IMN | 1977 | 48.205000 | NaN |
| 4858 | Isle of Man | IMN | 1978 | 48.209000 | NaN |
| 5122 | Isle of Man | IMN | 1979 | 48.212000 | NaN |
| 5386 | Isle of Man | IMN | 1980 | 48.216000 | NaN |
| 5650 | Isle of Man | IMN | 1981 | 48.220000 | NaN |
| 5914 | Isle of Man | IMN | 1982 | 48.224000 | NaN |
| 6178 | Isle of Man | IMN | 1983 | 48.227000 | NaN |
| 6442 | Isle of Man | IMN | 1984 | 48.231000 | NaN |
| 6706 | Isle of Man | IMN | 1985 | 48.235000 | NaN |
| 6970 | Isle of Man | IMN | 1986 | 48.239000 | NaN |
| 7234 | Isle of Man | IMN | 1987 | 48.243000 | NaN |
| 7498 | Isle of Man | IMN | 1988 | 48.246000 | NaN |
| 7762 | Isle of Man | IMN | 1989 | 48.250000 | NaN |
| 8026 | Isle of Man | IMN | 1990 | 48.254000 | 100.000000 |
| 8290 | Isle of Man | IMN | 1991 | 48.255000 | 100.000000 |
| 8554 | Isle of Man | IMN | 1992 | 48.246000 | 100.000000 |
| 8818 | Isle of Man | IMN | 1993 | 48.236000 | 100.000000 |
| 9082 | Isle of Man | IMN | 1994 | 48.227000 | 100.000000 |
| 9346 | Isle of Man | IMN | 1995 | 48.217000 | 100.000000 |
| 9610 | Isle of Man | IMN | 1996 | 48.208000 | 100.000000 |
| 9874 | Isle of Man | IMN | 1997 | 48.200000 | 100.000000 |
| 10138 | Isle of Man | IMN | 1998 | 48.192000 | 100.000000 |
| 10402 | Isle of Man | IMN | 1999 | 48.185000 | 100.000000 |
| 10666 | Isle of Man | IMN | 2000 | 48.177000 | 100.000000 |
| 10930 | Isle of Man | IMN | 2001 | 48.167000 | 100.000000 |
| 11194 | Isle of Man | IMN | 2002 | 48.149000 | 100.000000 |
| 11458 | Isle of Man | IMN | 2003 | 48.131000 | 100.000000 |
| 11722 | Isle of Man | IMN | 2004 | 48.113000 | 100.000000 |
| 11986 | Isle of Man | IMN | 2005 | 48.095000 | 100.000000 |
| 12250 | Isle of Man | IMN | 2006 | 48.078000 | 100.000000 |
| 12514 | Isle of Man | IMN | 2007 | 48.060000 | 100.000000 |
| 12778 | Isle of Man | IMN | 2008 | 48.042000 | 100.000000 |
| 13042 | Isle of Man | IMN | 2009 | 48.024000 | 100.000000 |
| 13306 | Isle of Man | IMN | 2010 | 48.006000 | 100.000000 |
| 13570 | Isle of Man | IMN | 2011 | 47.988000 | 100.000000 |
| 13834 | Isle of Man | IMN | 2012 | 47.958000 | 100.000000 |
| 14098 | Isle of Man | IMN | 2013 | 47.916000 | 100.000000 |
| 14362 | Isle of Man | IMN | 2014 | 47.862000 | 100.000000 |
| 14626 | Isle of Man | IMN | 2015 | 47.797000 | 100.000000 |
| 14890 | Isle of Man | IMN | 2016 | 47.719000 | 100.000000 |
| 15154 | Isle of Man | IMN | 2017 | 47.629000 | NaN |
| 113 | Israel | ISR | 1960 | 23.152000 | NaN |
| 377 | Israel | ISR | 1961 | 22.015000 | NaN |
| 641 | Israel | ISR | 1962 | 21.246000 | NaN |
| 905 | Israel | ISR | 1963 | 20.498000 | NaN |
| 1169 | Israel | ISR | 1964 | 19.768000 | NaN |
| 1433 | Israel | ISR | 1965 | 19.060000 | NaN |
| 1697 | Israel | ISR | 1966 | 18.370000 | NaN |
| 1961 | Israel | ISR | 1967 | 17.700000 | NaN |
| 2225 | Israel | ISR | 1968 | 17.048000 | NaN |
| 2489 | Israel | ISR | 1969 | 16.418000 | NaN |
| 2753 | Israel | ISR | 1970 | 15.805000 | NaN |
| 3017 | Israel | ISR | 1971 | 15.211000 | NaN |
| 3281 | Israel | ISR | 1972 | 14.649000 | NaN |
| 3545 | Israel | ISR | 1973 | 14.207000 | NaN |
| 3809 | Israel | ISR | 1974 | 13.776000 | NaN |
| 4073 | Israel | ISR | 1975 | 13.357000 | NaN |
| 4337 | Israel | ISR | 1976 | 12.947000 | NaN |
| 4601 | Israel | ISR | 1977 | 12.550000 | NaN |
| 4865 | Israel | ISR | 1978 | 12.162000 | NaN |
| 5129 | Israel | ISR | 1979 | 11.785000 | NaN |
| 5393 | Israel | ISR | 1980 | 11.417000 | NaN |
| 5657 | Israel | ISR | 1981 | 11.060000 | NaN |
| 5921 | Israel | ISR | 1982 | 10.713000 | NaN |
| 6185 | Israel | ISR | 1983 | 10.392000 | NaN |
| 6449 | Israel | ISR | 1984 | 10.281000 | NaN |
| 6713 | Israel | ISR | 1985 | 10.172000 | NaN |
| 6977 | Israel | ISR | 1986 | 10.064000 | NaN |
| 7241 | Israel | ISR | 1987 | 9.956000 | NaN |
| 7505 | Israel | ISR | 1988 | 9.850000 | NaN |
| 7769 | Israel | ISR | 1989 | 9.745000 | NaN |
| 8033 | Israel | ISR | 1990 | 9.641000 | 100.000000 |
| 8297 | Israel | ISR | 1991 | 9.537000 | 100.000000 |
| 8561 | Israel | ISR | 1992 | 9.435000 | 100.000000 |
| 8825 | Israel | ISR | 1993 | 9.334000 | 100.000000 |
| 9089 | Israel | ISR | 1994 | 9.233000 | 100.000000 |
| 9353 | Israel | ISR | 1995 | 9.134000 | 100.000000 |
| 9617 | Israel | ISR | 1996 | 9.057000 | 100.000000 |
| 9881 | Israel | ISR | 1997 | 8.991000 | 100.000000 |
| 10145 | Israel | ISR | 1998 | 8.926000 | 100.000000 |
| 10409 | Israel | ISR | 1999 | 8.861000 | 100.000000 |
| 10673 | Israel | ISR | 2000 | 8.797000 | 100.000000 |
| 10937 | Israel | ISR | 2001 | 8.733000 | 100.000000 |
| 11201 | Israel | ISR | 2002 | 8.670000 | 100.000000 |
| 11465 | Israel | ISR | 2003 | 8.607000 | 100.000000 |
| 11729 | Israel | ISR | 2004 | 8.544000 | 100.000000 |
| 11993 | Israel | ISR | 2005 | 8.482000 | 100.000000 |
| 12257 | Israel | ISR | 2006 | 8.420000 | 100.000000 |
| 12521 | Israel | ISR | 2007 | 8.359000 | 100.000000 |
| 12785 | Israel | ISR | 2008 | 8.298000 | 100.000000 |
| 13049 | Israel | ISR | 2009 | 8.237000 | 100.000000 |
| 13313 | Israel | ISR | 2010 | 8.176000 | 100.000000 |
| 13577 | Israel | ISR | 2011 | 8.114000 | 100.000000 |
| 13841 | Israel | ISR | 2012 | 8.051000 | 100.000000 |
| 14105 | Israel | ISR | 2013 | 7.988000 | 100.000000 |
| 14369 | Israel | ISR | 2014 | 7.924000 | 100.000000 |
| 14633 | Israel | ISR | 2015 | 7.860000 | 100.000000 |
| 14897 | Israel | ISR | 2016 | 7.795000 | 100.000000 |
| 15161 | Israel | ISR | 2017 | 7.730000 | NaN |
| 114 | Italy | ITA | 1960 | 40.639000 | NaN |
| 378 | Italy | ITA | 1961 | 40.144000 | NaN |
| 642 | Italy | ITA | 1962 | 39.645000 | NaN |
| 906 | Italy | ITA | 1963 | 39.147000 | NaN |
| 1170 | Italy | ITA | 1964 | 38.650000 | NaN |
| 1434 | Italy | ITA | 1965 | 38.157000 | NaN |
| 1698 | Italy | ITA | 1966 | 37.666000 | NaN |
| 1962 | Italy | ITA | 1967 | 37.178000 | NaN |
| 2226 | Italy | ITA | 1968 | 36.691000 | NaN |
| 2490 | Italy | ITA | 1969 | 36.208000 | NaN |
| 2754 | Italy | ITA | 1970 | 35.728000 | NaN |
| 3018 | Italy | ITA | 1971 | 35.250000 | NaN |
| 3282 | Italy | ITA | 1972 | 34.961000 | NaN |
| 3546 | Italy | ITA | 1973 | 34.759000 | NaN |
| 3810 | Italy | ITA | 1974 | 34.558000 | NaN |
| 4074 | Italy | ITA | 1975 | 34.357000 | NaN |
| 4338 | Italy | ITA | 1976 | 34.156000 | NaN |
| 4602 | Italy | ITA | 1977 | 33.956000 | NaN |
| 4866 | Italy | ITA | 1978 | 33.757000 | NaN |
| 5130 | Italy | ITA | 1979 | 33.558000 | NaN |
| 5394 | Italy | ITA | 1980 | 33.360000 | NaN |
| 5658 | Italy | ITA | 1981 | 33.163000 | NaN |
| 5922 | Italy | ITA | 1982 | 33.114000 | NaN |
| 6186 | Italy | ITA | 1983 | 33.134000 | NaN |
| 6450 | Italy | ITA | 1984 | 33.154000 | NaN |
| 6714 | Italy | ITA | 1985 | 33.174000 | NaN |
| 6978 | Italy | ITA | 1986 | 33.194000 | NaN |
| 7242 | Italy | ITA | 1987 | 33.214000 | NaN |
| 7506 | Italy | ITA | 1988 | 33.234000 | NaN |
| 7770 | Italy | ITA | 1989 | 33.254000 | NaN |
| 8034 | Italy | ITA | 1990 | 33.274000 | 100.000000 |
| 8298 | Italy | ITA | 1991 | 33.294000 | 100.000000 |
| 8562 | Italy | ITA | 1992 | 33.258000 | 100.000000 |
| 8826 | Italy | ITA | 1993 | 33.198000 | 100.000000 |
| 9090 | Italy | ITA | 1994 | 33.138000 | 100.000000 |
| 9354 | Italy | ITA | 1995 | 33.078000 | 100.000000 |
| 9618 | Italy | ITA | 1996 | 33.018000 | 100.000000 |
| 9882 | Italy | ITA | 1997 | 32.958000 | 100.000000 |
| 10146 | Italy | ITA | 1998 | 32.898000 | 100.000000 |
| 10410 | Italy | ITA | 1999 | 32.838000 | 100.000000 |
| 10674 | Italy | ITA | 2000 | 32.778000 | 100.000000 |
| 10938 | Italy | ITA | 2001 | 32.718000 | 100.000000 |
| 11202 | Italy | ITA | 2002 | 32.618000 | 100.000000 |
| 11466 | Italy | ITA | 2003 | 32.499000 | 100.000000 |
| 11730 | Italy | ITA | 2004 | 32.380000 | 100.000000 |
| 11994 | Italy | ITA | 2005 | 32.262000 | 100.000000 |
| 12258 | Italy | ITA | 2006 | 32.144000 | 100.000000 |
| 12522 | Italy | ITA | 2007 | 32.026000 | 100.000000 |
| 12786 | Italy | ITA | 2008 | 31.908000 | 100.000000 |
| 13050 | Italy | ITA | 2009 | 31.791000 | 100.000000 |
| 13314 | Italy | ITA | 2010 | 31.673000 | 100.000000 |
| 13578 | Italy | ITA | 2011 | 31.556000 | 100.000000 |
| 13842 | Italy | ITA | 2012 | 31.440000 | 100.000000 |
| 14106 | Italy | ITA | 2013 | 31.314000 | 100.000000 |
| 14370 | Italy | ITA | 2014 | 31.179000 | 100.000000 |
| 14634 | Italy | ITA | 2015 | 31.036000 | 100.000000 |
| 14898 | Italy | ITA | 2016 | 30.884000 | 100.000000 |
| 15162 | Italy | ITA | 2017 | 30.723000 | NaN |
| 115 | Jamaica | JAM | 1960 | 66.231000 | NaN |
| 379 | Jamaica | JAM | 1961 | 65.500000 | NaN |
| 643 | Jamaica | JAM | 1962 | 64.761000 | NaN |
| 907 | Jamaica | JAM | 1963 | 64.015000 | NaN |
| 1171 | Jamaica | JAM | 1964 | 63.260000 | NaN |
| 1435 | Jamaica | JAM | 1965 | 62.501000 | NaN |
| 1699 | Jamaica | JAM | 1966 | 61.735000 | NaN |
| 1963 | Jamaica | JAM | 1967 | 60.964000 | NaN |
| 2227 | Jamaica | JAM | 1968 | 60.185000 | NaN |
| 2491 | Jamaica | JAM | 1969 | 59.404000 | NaN |
| 2755 | Jamaica | JAM | 1970 | 58.676000 | NaN |
| 3019 | Jamaica | JAM | 1971 | 58.142000 | NaN |
| 3283 | Jamaica | JAM | 1972 | 57.605000 | NaN |
| 3547 | Jamaica | JAM | 1973 | 57.067000 | NaN |
| 3811 | Jamaica | JAM | 1974 | 56.528000 | NaN |
| 4075 | Jamaica | JAM | 1975 | 55.987000 | NaN |
| 4339 | Jamaica | JAM | 1976 | 55.443000 | NaN |
| 4603 | Jamaica | JAM | 1977 | 54.900000 | NaN |
| 4867 | Jamaica | JAM | 1978 | 54.355000 | NaN |
| 5131 | Jamaica | JAM | 1979 | 53.809000 | NaN |
| 5395 | Jamaica | JAM | 1980 | 53.261000 | NaN |
| 5659 | Jamaica | JAM | 1981 | 52.714000 | NaN |
| 5923 | Jamaica | JAM | 1982 | 52.187000 | NaN |
| 6187 | Jamaica | JAM | 1983 | 51.984000 | NaN |
| 6451 | Jamaica | JAM | 1984 | 51.780000 | NaN |
| 6715 | Jamaica | JAM | 1985 | 51.576000 | NaN |
| 6979 | Jamaica | JAM | 1986 | 51.372000 | NaN |
| 7243 | Jamaica | JAM | 1987 | 51.168000 | NaN |
| 7507 | Jamaica | JAM | 1988 | 50.964000 | NaN |
| 7771 | Jamaica | JAM | 1989 | 50.760000 | NaN |
| 8035 | Jamaica | JAM | 1990 | 50.556000 | 70.334586 |
| 8299 | Jamaica | JAM | 1991 | 50.344000 | 76.579430 |
| 8563 | Jamaica | JAM | 1992 | 50.104000 | 77.507835 |
| 8827 | Jamaica | JAM | 1993 | 49.864000 | 78.433182 |
| 9091 | Jamaica | JAM | 1994 | 49.625000 | 79.352409 |
| 9355 | Jamaica | JAM | 1995 | 49.385000 | 80.262459 |
| 9619 | Jamaica | JAM | 1996 | 49.145000 | 85.706045 |
| 9883 | Jamaica | JAM | 1997 | 48.905000 | 82.042793 |
| 10147 | Jamaica | JAM | 1998 | 48.665000 | 82.906960 |
| 10411 | Jamaica | JAM | 1999 | 48.426000 | 84.554112 |
| 10675 | Jamaica | JAM | 2000 | 48.186000 | 84.569504 |
| 10939 | Jamaica | JAM | 2001 | 47.947000 | 87.708112 |
| 11203 | Jamaica | JAM | 2002 | 47.749000 | 86.681291 |
| 11467 | Jamaica | JAM | 2003 | 47.563000 | 86.942696 |
| 11731 | Jamaica | JAM | 2004 | 47.375000 | 87.725227 |
| 11995 | Jamaica | JAM | 2005 | 47.189000 | 88.513611 |
| 12259 | Jamaica | JAM | 2006 | 47.002000 | 89.313896 |
| 12523 | Jamaica | JAM | 2007 | 46.816000 | 90.132149 |
| 12787 | Jamaica | JAM | 2008 | 46.629000 | 92.000000 |
| 13051 | Jamaica | JAM | 2009 | 46.443000 | 91.834724 |
| 13315 | Jamaica | JAM | 2010 | 46.257000 | 92.714546 |
| 13579 | Jamaica | JAM | 2011 | 46.070000 | 91.100000 |
| 13843 | Jamaica | JAM | 2012 | 45.873000 | 93.100000 |
| 14107 | Jamaica | JAM | 2013 | 45.664000 | 95.432121 |
| 14371 | Jamaica | JAM | 2014 | 45.444000 | 96.354004 |
| 14635 | Jamaica | JAM | 2015 | 45.212000 | 97.278885 |
| 14899 | Jamaica | JAM | 2016 | 44.970000 | 98.204269 |
| 15163 | Jamaica | JAM | 2017 | 44.717000 | NaN |
| 117 | Japan | JPN | 1960 | 36.728000 | NaN |
| 381 | Japan | JPN | 1961 | 35.787000 | NaN |
| 645 | Japan | JPN | 1962 | 34.856000 | NaN |
| 909 | Japan | JPN | 1963 | 33.936000 | NaN |
| 1173 | Japan | JPN | 1964 | 33.028000 | NaN |
| 1437 | Japan | JPN | 1965 | 32.134000 | NaN |
| 1701 | Japan | JPN | 1966 | 31.296000 | NaN |
| 1965 | Japan | JPN | 1967 | 30.484000 | NaN |
| 2229 | Japan | JPN | 1968 | 29.684000 | NaN |
| 2493 | Japan | JPN | 1969 | 28.898000 | NaN |
| 2757 | Japan | JPN | 1970 | 28.123000 | NaN |
| 3021 | Japan | JPN | 1971 | 27.334000 | NaN |
| 3285 | Japan | JPN | 1972 | 26.548000 | NaN |
| 3549 | Japan | JPN | 1973 | 25.780000 | NaN |
| 3813 | Japan | JPN | 1974 | 25.025000 | NaN |
| 4077 | Japan | JPN | 1975 | 24.284000 | NaN |
| 4341 | Japan | JPN | 1976 | 24.056000 | NaN |
| 4605 | Japan | JPN | 1977 | 23.998000 | NaN |
| 4869 | Japan | JPN | 1978 | 23.940000 | NaN |
| 5133 | Japan | JPN | 1979 | 23.882000 | NaN |
| 5397 | Japan | JPN | 1980 | 23.825000 | NaN |
| 5661 | Japan | JPN | 1981 | 23.727000 | NaN |
| 5925 | Japan | JPN | 1982 | 23.617000 | NaN |
| 6189 | Japan | JPN | 1983 | 23.507000 | NaN |
| 6453 | Japan | JPN | 1984 | 23.397000 | NaN |
| 6717 | Japan | JPN | 1985 | 23.288000 | NaN |
| 6981 | Japan | JPN | 1986 | 23.165000 | NaN |
| 7245 | Japan | JPN | 1987 | 23.038000 | NaN |
| 7509 | Japan | JPN | 1988 | 22.912000 | NaN |
| 7773 | Japan | JPN | 1989 | 22.787000 | NaN |
| 8037 | Japan | JPN | 1990 | 22.661000 | 100.000000 |
| 8301 | Japan | JPN | 1991 | 22.527000 | 100.000000 |
| 8565 | Japan | JPN | 1992 | 22.390000 | 100.000000 |
| 8829 | Japan | JPN | 1993 | 22.254000 | 100.000000 |
| 9093 | Japan | JPN | 1994 | 22.119000 | 100.000000 |
| 9357 | Japan | JPN | 1995 | 21.984000 | 100.000000 |
| 9621 | Japan | JPN | 1996 | 21.855000 | 100.000000 |
| 9885 | Japan | JPN | 1997 | 21.728000 | 100.000000 |
| 10149 | Japan | JPN | 1998 | 21.602000 | 100.000000 |
| 10413 | Japan | JPN | 1999 | 21.477000 | 100.000000 |
| 10677 | Japan | JPN | 2000 | 21.351000 | 100.000000 |
| 10941 | Japan | JPN | 2001 | 20.010000 | 100.000000 |
| 11205 | Japan | JPN | 2002 | 18.353000 | 100.000000 |
| 11469 | Japan | JPN | 2003 | 16.804000 | 100.000000 |
| 11733 | Japan | JPN | 2004 | 15.360000 | 100.000000 |
| 11997 | Japan | JPN | 2005 | 14.022000 | 100.000000 |
| 12261 | Japan | JPN | 2006 | 12.943000 | 100.000000 |
| 12525 | Japan | JPN | 2007 | 11.987000 | 100.000000 |
| 12789 | Japan | JPN | 2008 | 11.091000 | 100.000000 |
| 13053 | Japan | JPN | 2009 | 10.257000 | 100.000000 |
| 13317 | Japan | JPN | 2010 | 9.478000 | 100.000000 |
| 13581 | Japan | JPN | 2011 | 8.752000 | 100.000000 |
| 13845 | Japan | JPN | 2012 | 8.098000 | 100.000000 |
| 14109 | Japan | JPN | 2013 | 7.509000 | 100.000000 |
| 14373 | Japan | JPN | 2014 | 6.979000 | 100.000000 |
| 14637 | Japan | JPN | 2015 | 6.502000 | 100.000000 |
| 14901 | Japan | JPN | 2016 | 6.072000 | 100.000000 |
| 15165 | Japan | JPN | 2017 | 5.684000 | NaN |
| 116 | Jordan | JOR | 1960 | 49.121000 | NaN |
| 380 | Jordan | JOR | 1961 | 47.588000 | NaN |
| 644 | Jordan | JOR | 1962 | 46.785000 | NaN |
| 908 | Jordan | JOR | 1963 | 46.435000 | NaN |
| 1172 | Jordan | JOR | 1964 | 46.086000 | NaN |
| 1436 | Jordan | JOR | 1965 | 45.738000 | NaN |
| 1700 | Jordan | JOR | 1966 | 45.390000 | NaN |
| 1964 | Jordan | JOR | 1967 | 45.043000 | NaN |
| 2228 | Jordan | JOR | 1968 | 44.704000 | NaN |
| 2492 | Jordan | JOR | 1969 | 44.367000 | NaN |
| 2756 | Jordan | JOR | 1970 | 44.029000 | NaN |
| 3020 | Jordan | JOR | 1971 | 43.692000 | NaN |
| 3284 | Jordan | JOR | 1972 | 43.355000 | NaN |
| 3548 | Jordan | JOR | 1973 | 43.020000 | NaN |
| 3812 | Jordan | JOR | 1974 | 42.685000 | NaN |
| 4076 | Jordan | JOR | 1975 | 42.350000 | NaN |
| 4340 | Jordan | JOR | 1976 | 42.016000 | NaN |
| 4604 | Jordan | JOR | 1977 | 41.684000 | NaN |
| 4868 | Jordan | JOR | 1978 | 41.351000 | NaN |
| 5132 | Jordan | JOR | 1979 | 41.020000 | NaN |
| 5396 | Jordan | JOR | 1980 | 39.971000 | NaN |
| 5660 | Jordan | JOR | 1981 | 38.536000 | NaN |
| 5924 | Jordan | JOR | 1982 | 37.118000 | NaN |
| 6188 | Jordan | JOR | 1983 | 35.722000 | NaN |
| 6452 | Jordan | JOR | 1984 | 34.348000 | NaN |
| 6716 | Jordan | JOR | 1985 | 33.004000 | NaN |
| 6980 | Jordan | JOR | 1986 | 31.685000 | NaN |
| 7244 | Jordan | JOR | 1987 | 30.394000 | NaN |
| 7508 | Jordan | JOR | 1988 | 29.132000 | NaN |
| 7772 | Jordan | JOR | 1989 | 27.905000 | NaN |
| 8036 | Jordan | JOR | 1990 | 26.709000 | 96.800000 |
| 8300 | Jordan | JOR | 1991 | 25.545000 | 97.416069 |
| 8564 | Jordan | JOR | 1992 | 24.414000 | 97.608269 |
| 8828 | Jordan | JOR | 1993 | 23.320000 | 97.797417 |
| 9092 | Jordan | JOR | 1994 | 22.260000 | 97.980438 |
| 9356 | Jordan | JOR | 1995 | 21.635000 | 98.145111 |
| 9620 | Jordan | JOR | 1996 | 21.340000 | 98.304428 |
| 9884 | Jordan | JOR | 1997 | 21.049000 | 98.900000 |
| 10148 | Jordan | JOR | 1998 | 20.761000 | 98.574448 |
| 10412 | Jordan | JOR | 1999 | 20.475000 | 98.680511 |
| 10676 | Jordan | JOR | 2000 | 20.192000 | 98.766846 |
| 10940 | Jordan | JOR | 2001 | 19.913000 | 98.836266 |
| 11204 | Jordan | JOR | 2002 | 19.636000 | 99.500000 |
| 11468 | Jordan | JOR | 2003 | 19.362000 | 98.944733 |
| 11732 | Jordan | JOR | 2004 | 19.091000 | 99.173437 |
| 11996 | Jordan | JOR | 2005 | 18.823000 | 99.052307 |
| 12260 | Jordan | JOR | 2006 | 18.558000 | 99.120636 |
| 12524 | Jordan | JOR | 2007 | 18.296000 | 98.800000 |
| 12788 | Jordan | JOR | 2008 | 18.036000 | 99.309547 |
| 13052 | Jordan | JOR | 2009 | 17.780000 | 99.400000 |
| 13316 | Jordan | JOR | 2010 | 17.527000 | 99.573456 |
| 13580 | Jordan | JOR | 2011 | 17.276000 | 99.720169 |
| 13844 | Jordan | JOR | 2012 | 17.030000 | 99.500000 |
| 14108 | Jordan | JOR | 2013 | 16.789000 | 99.941940 |
| 14372 | Jordan | JOR | 2014 | 16.553000 | 99.985588 |
| 14636 | Jordan | JOR | 2015 | 16.321000 | 99.998322 |
| 14900 | Jordan | JOR | 2016 | 16.095000 | 100.000000 |
| 15164 | Jordan | JOR | 2017 | 15.873000 | NaN |
| 118 | Kazakhstan | KAZ | 1960 | 55.802000 | NaN |
| 382 | Kazakhstan | KAZ | 1961 | 55.254000 | NaN |
| 646 | Kazakhstan | KAZ | 1962 | 54.704000 | NaN |
| 910 | Kazakhstan | KAZ | 1963 | 54.153000 | NaN |
| 1174 | Kazakhstan | KAZ | 1964 | 53.600000 | NaN |
| 1438 | Kazakhstan | KAZ | 1965 | 52.953000 | NaN |
| 1702 | Kazakhstan | KAZ | 1966 | 52.304000 | NaN |
| 1966 | Kazakhstan | KAZ | 1967 | 51.654000 | NaN |
| 2230 | Kazakhstan | KAZ | 1968 | 51.003000 | NaN |
| 2494 | Kazakhstan | KAZ | 1969 | 50.353000 | NaN |
| 2758 | Kazakhstan | KAZ | 1970 | 49.764000 | NaN |
| 3022 | Kazakhstan | KAZ | 1971 | 49.247000 | NaN |
| 3286 | Kazakhstan | KAZ | 1972 | 48.731000 | NaN |
| 3550 | Kazakhstan | KAZ | 1973 | 48.215000 | NaN |
| 3814 | Kazakhstan | KAZ | 1974 | 47.700000 | NaN |
| 4078 | Kazakhstan | KAZ | 1975 | 47.436000 | NaN |
| 4342 | Kazakhstan | KAZ | 1976 | 47.172000 | NaN |
| 4606 | Kazakhstan | KAZ | 1977 | 46.908000 | NaN |
| 4870 | Kazakhstan | KAZ | 1978 | 46.644000 | NaN |
| 5134 | Kazakhstan | KAZ | 1979 | 46.300000 | NaN |
| 5398 | Kazakhstan | KAZ | 1980 | 45.858000 | NaN |
| 5662 | Kazakhstan | KAZ | 1981 | 45.418000 | NaN |
| 5926 | Kazakhstan | KAZ | 1982 | 44.978000 | NaN |
| 6190 | Kazakhstan | KAZ | 1983 | 44.539000 | NaN |
| 6454 | Kazakhstan | KAZ | 1984 | 44.100000 | NaN |
| 6718 | Kazakhstan | KAZ | 1985 | 43.990000 | NaN |
| 6982 | Kazakhstan | KAZ | 1986 | 43.879000 | NaN |
| 7246 | Kazakhstan | KAZ | 1987 | 43.769000 | NaN |
| 7510 | Kazakhstan | KAZ | 1988 | 43.659000 | NaN |
| 7774 | Kazakhstan | KAZ | 1989 | 43.643000 | NaN |
| 8038 | Kazakhstan | KAZ | 1990 | 43.734000 | 97.720810 |
| 8302 | Kazakhstan | KAZ | 1991 | 43.825000 | 97.891830 |
| 8566 | Kazakhstan | KAZ | 1992 | 43.917000 | 98.059944 |
| 8830 | Kazakhstan | KAZ | 1993 | 44.008000 | 98.225204 |
| 9094 | Kazakhstan | KAZ | 1994 | 44.100000 | 98.384254 |
| 9358 | Kazakhstan | KAZ | 1995 | 44.079000 | 99.900000 |
| 9622 | Kazakhstan | KAZ | 1996 | 44.057000 | 98.671730 |
| 9886 | Kazakhstan | KAZ | 1997 | 44.036000 | 98.794083 |
| 10150 | Kazakhstan | KAZ | 1998 | 44.014000 | 98.898369 |
| 10414 | Kazakhstan | KAZ | 1999 | 44.070000 | 97.000000 |
| 10678 | Kazakhstan | KAZ | 2000 | 44.271000 | 99.047386 |
| 10942 | Kazakhstan | KAZ | 2001 | 44.473000 | 99.095123 |
| 11206 | Kazakhstan | KAZ | 2002 | 44.674000 | 99.130798 |
| 11470 | Kazakhstan | KAZ | 2003 | 44.876000 | 99.160210 |
| 11734 | Kazakhstan | KAZ | 2004 | 45.079000 | 99.189400 |
| 11998 | Kazakhstan | KAZ | 2005 | 45.281000 | 99.224411 |
| 12262 | Kazakhstan | KAZ | 2006 | 45.484000 | 99.766548 |
| 12526 | Kazakhstan | KAZ | 2007 | 45.686000 | 99.334152 |
| 12790 | Kazakhstan | KAZ | 2008 | 45.889000 | 99.416565 |
| 13054 | Kazakhstan | KAZ | 2009 | 46.092000 | 100.000000 |
| 13318 | Kazakhstan | KAZ | 2010 | 46.268000 | 99.637123 |
| 13582 | Kazakhstan | KAZ | 2011 | 46.419000 | 99.797468 |
| 13846 | Kazakhstan | KAZ | 2012 | 46.542000 | 99.874733 |
| 14110 | Kazakhstan | KAZ | 2013 | 46.639000 | 99.951614 |
| 14374 | Kazakhstan | KAZ | 2014 | 46.710000 | 99.988144 |
| 14638 | Kazakhstan | KAZ | 2015 | 46.753000 | 100.000000 |
| 14902 | Kazakhstan | KAZ | 2016 | 46.771000 | 100.000000 |
| 15166 | Kazakhstan | KAZ | 2017 | 46.761000 | NaN |
| 119 | Kenya | KEN | 1960 | 92.638000 | NaN |
| 383 | Kenya | KEN | 1961 | 92.435000 | NaN |
| 647 | Kenya | KEN | 1962 | 92.226000 | NaN |
| 911 | Kenya | KEN | 1963 | 91.962000 | NaN |
| 1175 | Kenya | KEN | 1964 | 91.682000 | NaN |
| 1439 | Kenya | KEN | 1965 | 91.395000 | NaN |
| 1703 | Kenya | KEN | 1966 | 91.098000 | NaN |
| 1967 | Kenya | KEN | 1967 | 90.791000 | NaN |
| 2231 | Kenya | KEN | 1968 | 90.475000 | NaN |
| 2495 | Kenya | KEN | 1969 | 90.150000 | NaN |
| 2759 | Kenya | KEN | 1970 | 89.705000 | NaN |
| 3023 | Kenya | KEN | 1971 | 89.222000 | NaN |
| 3287 | Kenya | KEN | 1972 | 88.718000 | NaN |
| 3551 | Kenya | KEN | 1973 | 88.195000 | NaN |
| 3815 | Kenya | KEN | 1974 | 87.651000 | NaN |
| 4079 | Kenya | KEN | 1975 | 87.086000 | NaN |
| 4343 | Kenya | KEN | 1976 | 86.497000 | NaN |
| 4607 | Kenya | KEN | 1977 | 85.888000 | NaN |
| 4871 | Kenya | KEN | 1978 | 85.255000 | NaN |
| 5135 | Kenya | KEN | 1979 | 84.599000 | NaN |
| 5399 | Kenya | KEN | 1980 | 84.417000 | NaN |
| 5663 | Kenya | KEN | 1981 | 84.319000 | NaN |
| 5927 | Kenya | KEN | 1982 | 84.220000 | NaN |
| 6191 | Kenya | KEN | 1983 | 84.121000 | NaN |
| 6455 | Kenya | KEN | 1984 | 84.021000 | NaN |
| 6719 | Kenya | KEN | 1985 | 83.921000 | NaN |
| 6983 | Kenya | KEN | 1986 | 83.820000 | NaN |
| 7247 | Kenya | KEN | 1987 | 83.719000 | NaN |
| 7511 | Kenya | KEN | 1988 | 83.617000 | NaN |
| 7775 | Kenya | KEN | 1989 | 83.515000 | NaN |
| 8039 | Kenya | KEN | 1990 | 83.252000 | 3.318390 |
| 8303 | Kenya | KEN | 1991 | 82.957000 | 4.614890 |
| 8567 | Kenya | KEN | 1992 | 82.658000 | 5.910881 |
| 8831 | Kenya | KEN | 1993 | 82.355000 | 10.900000 |
| 9095 | Kenya | KEN | 1994 | 82.048000 | 8.490625 |
| 9359 | Kenya | KEN | 1995 | 81.737000 | 9.768262 |
| 9623 | Kenya | KEN | 1996 | 81.421000 | 11.033661 |
| 9887 | Kenya | KEN | 1997 | 81.102000 | 12.283765 |
| 10151 | Kenya | KEN | 1998 | 80.778000 | 14.500000 |
| 10415 | Kenya | KEN | 1999 | 80.450000 | 14.725850 |
| 10679 | Kenya | KEN | 2000 | 80.108000 | 15.913233 |
| 10943 | Kenya | KEN | 2001 | 79.761000 | 17.082207 |
| 11207 | Kenya | KEN | 2002 | 79.409000 | 18.238832 |
| 11471 | Kenya | KEN | 2003 | 79.052000 | 16.000000 |
| 11735 | Kenya | KEN | 2004 | 78.690000 | 20.539297 |
| 11999 | Kenya | KEN | 2005 | 78.325000 | 21.695263 |
| 12263 | Kenya | KEN | 2006 | 77.955000 | 22.863132 |
| 12527 | Kenya | KEN | 2007 | 77.580000 | 24.048971 |
| 12791 | Kenya | KEN | 2008 | 77.200000 | 25.257330 |
| 13055 | Kenya | KEN | 2009 | 76.817000 | 23.000000 |
| 13319 | Kenya | KEN | 2010 | 76.429000 | 19.200000 |
| 13583 | Kenya | KEN | 2011 | 76.033000 | 28.996553 |
| 13847 | Kenya | KEN | 2012 | 75.630000 | 30.271000 |
| 14111 | Kenya | KEN | 2013 | 75.220000 | 31.554457 |
| 14375 | Kenya | KEN | 2014 | 74.803000 | 36.000000 |
| 14639 | Kenya | KEN | 2015 | 74.378000 | 41.600000 |
| 14903 | Kenya | KEN | 2016 | 73.945000 | 56.000000 |
| 15167 | Kenya | KEN | 2017 | 73.506000 | NaN |
| 122 | Kiribati | KIR | 1960 | 83.710000 | NaN |
| 386 | Kiribati | KIR | 1961 | 83.082000 | NaN |
| 650 | Kiribati | KIR | 1962 | 82.434000 | NaN |
| 914 | Kiribati | KIR | 1963 | 81.767000 | NaN |
| 1178 | Kiribati | KIR | 1964 | 81.080000 | NaN |
| 1442 | Kiribati | KIR | 1965 | 80.375000 | NaN |
| 1706 | Kiribati | KIR | 1966 | 79.649000 | NaN |
| 1970 | Kiribati | KIR | 1967 | 78.903000 | NaN |
| 2234 | Kiribati | KIR | 1968 | 78.137000 | NaN |
| 2498 | Kiribati | KIR | 1969 | 77.129000 | NaN |
| 2762 | Kiribati | KIR | 1970 | 75.912000 | NaN |
| 3026 | Kiribati | KIR | 1971 | 74.652000 | NaN |
| 3290 | Kiribati | KIR | 1972 | 73.346000 | NaN |
| 3554 | Kiribati | KIR | 1973 | 72.003000 | NaN |
| 3818 | Kiribati | KIR | 1974 | 71.040000 | NaN |
| 4082 | Kiribati | KIR | 1975 | 70.394000 | NaN |
| 4346 | Kiribati | KIR | 1976 | 69.738000 | NaN |
| 4610 | Kiribati | KIR | 1977 | 69.075000 | NaN |
| 4874 | Kiribati | KIR | 1978 | 68.404000 | NaN |
| 5138 | Kiribati | KIR | 1979 | 67.964000 | NaN |
| 5402 | Kiribati | KIR | 1980 | 67.716000 | NaN |
| 5666 | Kiribati | KIR | 1981 | 67.468000 | NaN |
| 5930 | Kiribati | KIR | 1982 | 67.218000 | NaN |
| 6194 | Kiribati | KIR | 1983 | 66.968000 | NaN |
| 6458 | Kiribati | KIR | 1984 | 66.716000 | NaN |
| 6722 | Kiribati | KIR | 1985 | 66.459000 | NaN |
| 6986 | Kiribati | KIR | 1986 | 66.172000 | NaN |
| 7250 | Kiribati | KIR | 1987 | 65.884000 | NaN |
| 7514 | Kiribati | KIR | 1988 | 65.595000 | NaN |
| 7778 | Kiribati | KIR | 1989 | 65.305000 | NaN |
| 8042 | Kiribati | KIR | 1990 | 65.013000 | 31.559732 |
| 8306 | Kiribati | KIR | 1991 | 64.728000 | 33.674141 |
| 8570 | Kiribati | KIR | 1992 | 64.445000 | 35.788036 |
| 8834 | Kiribati | KIR | 1993 | 64.161000 | 37.898876 |
| 9098 | Kiribati | KIR | 1994 | 63.877000 | 40.003593 |
| 9362 | Kiribati | KIR | 1995 | 63.591000 | 42.099136 |
| 9626 | Kiribati | KIR | 1996 | 62.614000 | 44.182442 |
| 9890 | Kiribati | KIR | 1997 | 61.248000 | 46.250454 |
| 10154 | Kiribati | KIR | 1998 | 59.862000 | 48.300110 |
| 10418 | Kiribati | KIR | 1999 | 58.460000 | 50.328350 |
| 10682 | Kiribati | KIR | 2000 | 57.042000 | 52.333641 |
| 10946 | Kiribati | KIR | 2001 | 56.527000 | 54.320522 |
| 11210 | Kiribati | KIR | 2002 | 56.508000 | 56.295055 |
| 11474 | Kiribati | KIR | 2003 | 56.488000 | 58.263306 |
| 11738 | Kiribati | KIR | 2004 | 56.468000 | 60.231331 |
| 12002 | Kiribati | KIR | 2005 | 56.449000 | 69.676405 |
| 12266 | Kiribati | KIR | 2006 | 56.429000 | 64.190979 |
| 12530 | Kiribati | KIR | 2007 | 56.397000 | 66.194725 |
| 12794 | Kiribati | KIR | 2008 | 56.353000 | 68.220993 |
| 13058 | Kiribati | KIR | 2009 | 56.296000 | 64.190000 |
| 13322 | Kiribati | KIR | 2010 | 56.227000 | 63.167737 |
| 13586 | Kiribati | KIR | 2011 | 56.145000 | 74.413933 |
| 13850 | Kiribati | KIR | 2012 | 56.052000 | 76.506287 |
| 14114 | Kiribati | KIR | 2013 | 55.945000 | 78.607651 |
| 14378 | Kiribati | KIR | 2014 | 55.827000 | 80.715019 |
| 14642 | Kiribati | KIR | 2015 | 55.696000 | 90.558181 |
| 14906 | Kiribati | KIR | 2016 | 55.553000 | 84.936272 |
| 15170 | Kiribati | KIR | 2017 | 55.397000 | NaN |
| 191 | Korea, Dem. People’s Rep. | PRK | 1960 | 59.805000 | NaN |
| 455 | Korea, Dem. People’s Rep. | PRK | 1961 | 58.838000 | NaN |
| 719 | Korea, Dem. People’s Rep. | PRK | 1962 | 57.864000 | NaN |
| 983 | Korea, Dem. People’s Rep. | PRK | 1963 | 56.884000 | NaN |
| 1247 | Korea, Dem. People’s Rep. | PRK | 1964 | 55.898000 | NaN |
| 1511 | Korea, Dem. People’s Rep. | PRK | 1965 | 54.909000 | NaN |
| 1775 | Korea, Dem. People’s Rep. | PRK | 1966 | 53.916000 | NaN |
| 2039 | Korea, Dem. People’s Rep. | PRK | 1967 | 52.919000 | NaN |
| 2303 | Korea, Dem. People’s Rep. | PRK | 1968 | 50.988000 | NaN |
| 2567 | Korea, Dem. People’s Rep. | PRK | 1969 | 48.391000 | NaN |
| 2831 | Korea, Dem. People’s Rep. | PRK | 1970 | 45.800000 | NaN |
| 3095 | Korea, Dem. People’s Rep. | PRK | 1971 | 45.298000 | NaN |
| 3359 | Korea, Dem. People’s Rep. | PRK | 1972 | 44.796000 | NaN |
| 3623 | Korea, Dem. People’s Rep. | PRK | 1973 | 44.297000 | NaN |
| 3887 | Korea, Dem. People’s Rep. | PRK | 1974 | 43.798000 | NaN |
| 4151 | Korea, Dem. People’s Rep. | PRK | 1975 | 43.300000 | NaN |
| 4415 | Korea, Dem. People’s Rep. | PRK | 1976 | 43.260000 | NaN |
| 4679 | Korea, Dem. People’s Rep. | PRK | 1977 | 43.220000 | NaN |
| 4943 | Korea, Dem. People’s Rep. | PRK | 1978 | 43.180000 | NaN |
| 5207 | Korea, Dem. People’s Rep. | PRK | 1979 | 43.140000 | NaN |
| 5471 | Korea, Dem. People’s Rep. | PRK | 1980 | 43.100000 | NaN |
| 5735 | Korea, Dem. People’s Rep. | PRK | 1981 | 42.951000 | NaN |
| 5999 | Korea, Dem. People’s Rep. | PRK | 1982 | 42.802000 | NaN |
| 6263 | Korea, Dem. People’s Rep. | PRK | 1983 | 42.654000 | NaN |
| 6527 | Korea, Dem. People’s Rep. | PRK | 1984 | 42.505000 | NaN |
| 6791 | Korea, Dem. People’s Rep. | PRK | 1985 | 42.356000 | NaN |
| 7055 | Korea, Dem. People’s Rep. | PRK | 1986 | 42.208000 | NaN |
| 7319 | Korea, Dem. People’s Rep. | PRK | 1987 | 42.060000 | NaN |
| 7583 | Korea, Dem. People’s Rep. | PRK | 1988 | 41.912000 | NaN |
| 7847 | Korea, Dem. People’s Rep. | PRK | 1989 | 41.764000 | NaN |
| 8111 | Korea, Dem. People’s Rep. | PRK | 1990 | 41.616000 | 0.010000 |
| 8375 | Korea, Dem. People’s Rep. | PRK | 1991 | 41.469000 | 0.028545 |
| 8639 | Korea, Dem. People’s Rep. | PRK | 1992 | 41.321000 | 0.167668 |
| 8903 | Korea, Dem. People’s Rep. | PRK | 1993 | 41.174000 | 0.640622 |
| 9167 | Korea, Dem. People’s Rep. | PRK | 1994 | 41.061000 | 1.196885 |
| 9431 | Korea, Dem. People’s Rep. | PRK | 1995 | 40.982000 | 2.979457 |
| 9695 | Korea, Dem. People’s Rep. | PRK | 1996 | 40.903000 | 4.749794 |
| 9959 | Korea, Dem. People’s Rep. | PRK | 1997 | 40.824000 | 6.504834 |
| 10223 | Korea, Dem. People’s Rep. | PRK | 1998 | 40.745000 | 8.241520 |
| 10487 | Korea, Dem. People’s Rep. | PRK | 1999 | 40.666000 | 9.956793 |
| 10751 | Korea, Dem. People’s Rep. | PRK | 2000 | 40.588000 | 11.649113 |
| 11015 | Korea, Dem. People’s Rep. | PRK | 2001 | 40.509000 | 13.323023 |
| 11279 | Korea, Dem. People’s Rep. | PRK | 2002 | 40.430000 | 14.984586 |
| 11543 | Korea, Dem. People’s Rep. | PRK | 2003 | 40.352000 | 16.639866 |
| 11807 | Korea, Dem. People’s Rep. | PRK | 2004 | 40.273000 | 18.294924 |
| 12071 | Korea, Dem. People’s Rep. | PRK | 2005 | 40.195000 | 19.955826 |
| 12335 | Korea, Dem. People’s Rep. | PRK | 2006 | 40.116000 | 21.628632 |
| 12599 | Korea, Dem. People’s Rep. | PRK | 2007 | 40.038000 | 23.319407 |
| 12863 | Korea, Dem. People’s Rep. | PRK | 2008 | 39.960000 | 25.032701 |
| 13127 | Korea, Dem. People’s Rep. | PRK | 2009 | 39.882000 | 26.000000 |
| 13391 | Korea, Dem. People’s Rep. | PRK | 2010 | 39.790000 | 28.519371 |
| 13655 | Korea, Dem. People’s Rep. | PRK | 2011 | 39.684000 | 30.286737 |
| 13919 | Korea, Dem. People’s Rep. | PRK | 2012 | 39.564000 | 32.066120 |
| 14183 | Korea, Dem. People’s Rep. | PRK | 2013 | 39.431000 | 33.854511 |
| 14447 | Korea, Dem. People’s Rep. | PRK | 2014 | 39.285000 | 35.648914 |
| 14711 | Korea, Dem. People’s Rep. | PRK | 2015 | 39.125000 | 37.446320 |
| 14975 | Korea, Dem. People’s Rep. | PRK | 2016 | 38.952000 | 39.244225 |
| 15239 | Korea, Dem. People’s Rep. | PRK | 2017 | 38.765000 | NaN |
| 124 | Korea, Rep. | KOR | 1960 | 72.290000 | NaN |
| 388 | Korea, Rep. | KOR | 1961 | 71.469000 | NaN |
| 652 | Korea, Rep. | KOR | 1962 | 70.539000 | NaN |
| 916 | Korea, Rep. | KOR | 1963 | 69.593000 | NaN |
| 1180 | Korea, Rep. | KOR | 1964 | 68.628000 | NaN |
| 1444 | Korea, Rep. | KOR | 1965 | 67.649000 | NaN |
| 1708 | Korea, Rep. | KOR | 1966 | 66.653000 | NaN |
| 1972 | Korea, Rep. | KOR | 1967 | 65.029000 | NaN |
| 2236 | Korea, Rep. | KOR | 1968 | 63.154000 | NaN |
| 2500 | Korea, Rep. | KOR | 1969 | 61.244000 | NaN |
| 2764 | Korea, Rep. | KOR | 1970 | 59.296000 | NaN |
| 3028 | Korea, Rep. | KOR | 1971 | 57.739000 | NaN |
| 3292 | Korea, Rep. | KOR | 1972 | 56.308000 | NaN |
| 3556 | Korea, Rep. | KOR | 1973 | 54.869000 | NaN |
| 3820 | Korea, Rep. | KOR | 1974 | 53.421000 | NaN |
| 4084 | Korea, Rep. | KOR | 1975 | 51.967000 | NaN |
| 4348 | Korea, Rep. | KOR | 1976 | 50.281000 | NaN |
| 4612 | Korea, Rep. | KOR | 1977 | 48.524000 | NaN |
| 4876 | Korea, Rep. | KOR | 1978 | 46.767000 | NaN |
| 5140 | Korea, Rep. | KOR | 1979 | 45.019000 | NaN |
| 5404 | Korea, Rep. | KOR | 1980 | 43.280000 | NaN |
| 5668 | Korea, Rep. | KOR | 1981 | 41.593000 | NaN |
| 5932 | Korea, Rep. | KOR | 1982 | 39.939000 | NaN |
| 6196 | Korea, Rep. | KOR | 1983 | 38.307000 | NaN |
| 6460 | Korea, Rep. | KOR | 1984 | 36.699000 | NaN |
| 6724 | Korea, Rep. | KOR | 1985 | 35.124000 | NaN |
| 6988 | Korea, Rep. | KOR | 1986 | 33.321000 | NaN |
| 7252 | Korea, Rep. | KOR | 1987 | 31.437000 | NaN |
| 7516 | Korea, Rep. | KOR | 1988 | 29.611000 | NaN |
| 7780 | Korea, Rep. | KOR | 1989 | 27.852000 | NaN |
| 8044 | Korea, Rep. | KOR | 1990 | 26.156000 | NaN |
| 8308 | Korea, Rep. | KOR | 1991 | 25.028000 | NaN |
| 8572 | Korea, Rep. | KOR | 1992 | 24.180000 | NaN |
| 8836 | Korea, Rep. | KOR | 1993 | 23.355000 | NaN |
| 9100 | Korea, Rep. | KOR | 1994 | 22.548000 | NaN |
| 9364 | Korea, Rep. | KOR | 1995 | 21.761000 | 100.000000 |
| 9628 | Korea, Rep. | KOR | 1996 | 21.338000 | 100.000000 |
| 9892 | Korea, Rep. | KOR | 1997 | 21.095000 | 100.000000 |
| 10156 | Korea, Rep. | KOR | 1998 | 20.855000 | 100.000000 |
| 10420 | Korea, Rep. | KOR | 1999 | 20.616000 | 100.000000 |
| 10684 | Korea, Rep. | KOR | 2000 | 20.379000 | 100.000000 |
| 10948 | Korea, Rep. | KOR | 2001 | 20.060000 | 100.000000 |
| 11212 | Korea, Rep. | KOR | 2002 | 19.701000 | 100.000000 |
| 11476 | Korea, Rep. | KOR | 2003 | 19.348000 | 100.000000 |
| 11740 | Korea, Rep. | KOR | 2004 | 18.998000 | 100.000000 |
| 12004 | Korea, Rep. | KOR | 2005 | 18.655000 | 100.000000 |
| 12268 | Korea, Rep. | KOR | 2006 | 18.472000 | 100.000000 |
| 12532 | Korea, Rep. | KOR | 2007 | 18.369000 | 100.000000 |
| 12796 | Korea, Rep. | KOR | 2008 | 18.267000 | 100.000000 |
| 13060 | Korea, Rep. | KOR | 2009 | 18.165000 | 100.000000 |
| 13324 | Korea, Rep. | KOR | 2010 | 18.064000 | 100.000000 |
| 13588 | Korea, Rep. | KOR | 2011 | 17.963000 | 100.000000 |
| 13852 | Korea, Rep. | KOR | 2012 | 17.859000 | 100.000000 |
| 14116 | Korea, Rep. | KOR | 2013 | 17.751000 | 100.000000 |
| 14380 | Korea, Rep. | KOR | 2014 | 17.640000 | 100.000000 |
| 14644 | Korea, Rep. | KOR | 2015 | 17.526000 | 100.000000 |
| 14908 | Korea, Rep. | KOR | 2016 | 17.408000 | 100.000000 |
| 15172 | Korea, Rep. | KOR | 2017 | 17.288000 | NaN |
| 259 | Kosovo | XKX | 1960 | NaN | NaN |
| 523 | Kosovo | XKX | 1961 | NaN | NaN |
| 787 | Kosovo | XKX | 1962 | NaN | NaN |
| 1051 | Kosovo | XKX | 1963 | NaN | NaN |
| 1315 | Kosovo | XKX | 1964 | NaN | NaN |
| 1579 | Kosovo | XKX | 1965 | NaN | NaN |
| 1843 | Kosovo | XKX | 1966 | NaN | NaN |
| 2107 | Kosovo | XKX | 1967 | NaN | NaN |
| 2371 | Kosovo | XKX | 1968 | NaN | NaN |
| 2635 | Kosovo | XKX | 1969 | NaN | NaN |
| 2899 | Kosovo | XKX | 1970 | NaN | NaN |
| 3163 | Kosovo | XKX | 1971 | NaN | NaN |
| 3427 | Kosovo | XKX | 1972 | NaN | NaN |
| 3691 | Kosovo | XKX | 1973 | NaN | NaN |
| 3955 | Kosovo | XKX | 1974 | NaN | NaN |
| 4219 | Kosovo | XKX | 1975 | NaN | NaN |
| 4483 | Kosovo | XKX | 1976 | NaN | NaN |
| 4747 | Kosovo | XKX | 1977 | NaN | NaN |
| 5011 | Kosovo | XKX | 1978 | NaN | NaN |
| 5275 | Kosovo | XKX | 1979 | NaN | NaN |
| 5539 | Kosovo | XKX | 1980 | NaN | NaN |
| 5803 | Kosovo | XKX | 1981 | NaN | NaN |
| 6067 | Kosovo | XKX | 1982 | NaN | NaN |
| 6331 | Kosovo | XKX | 1983 | NaN | NaN |
| 6595 | Kosovo | XKX | 1984 | NaN | NaN |
| 6859 | Kosovo | XKX | 1985 | NaN | NaN |
| 7123 | Kosovo | XKX | 1986 | NaN | NaN |
| 7387 | Kosovo | XKX | 1987 | NaN | NaN |
| 7651 | Kosovo | XKX | 1988 | NaN | NaN |
| 7915 | Kosovo | XKX | 1989 | NaN | NaN |
| 8179 | Kosovo | XKX | 1990 | NaN | 87.694695 |
| 8443 | Kosovo | XKX | 1991 | NaN | 88.333473 |
| 8707 | Kosovo | XKX | 1992 | NaN | 88.971748 |
| 8971 | Kosovo | XKX | 1993 | NaN | 89.606956 |
| 9235 | Kosovo | XKX | 1994 | NaN | 90.236053 |
| 9499 | Kosovo | XKX | 1995 | NaN | 90.855965 |
| 9763 | Kosovo | XKX | 1996 | NaN | 91.463646 |
| 10027 | Kosovo | XKX | 1997 | NaN | 92.056030 |
| 10291 | Kosovo | XKX | 1998 | NaN | 92.630058 |
| 10555 | Kosovo | XKX | 1999 | NaN | 93.182678 |
| 10819 | Kosovo | XKX | 2000 | NaN | 93.712341 |
| 11083 | Kosovo | XKX | 2001 | NaN | 94.223595 |
| 11347 | Kosovo | XKX | 2002 | NaN | 94.722496 |
| 11611 | Kosovo | XKX | 2003 | NaN | 95.215118 |
| 11875 | Kosovo | XKX | 2004 | NaN | 95.707520 |
| 12139 | Kosovo | XKX | 2005 | NaN | 96.205765 |
| 12403 | Kosovo | XKX | 2006 | NaN | 96.715919 |
| 12667 | Kosovo | XKX | 2007 | NaN | 97.244034 |
| 12931 | Kosovo | XKX | 2008 | NaN | 97.794670 |
| 13195 | Kosovo | XKX | 2009 | NaN | 98.377060 |
| 13459 | Kosovo | XKX | 2010 | NaN | 0.000000 |
| 13723 | Kosovo | XKX | 2011 | NaN | 99.430435 |
| 13987 | Kosovo | XKX | 2012 | NaN | 99.773651 |
| 14251 | Kosovo | XKX | 2013 | NaN | 99.942505 |
| 14515 | Kosovo | XKX | 2014 | NaN | 99.993134 |
| 14779 | Kosovo | XKX | 2015 | NaN | 100.000000 |
| 15043 | Kosovo | XKX | 2016 | NaN | 100.000000 |
| 15307 | Kosovo | XKX | 2017 | NaN | NaN |
| 125 | Kuwait | KWT | 1960 | 25.107000 | NaN |
| 389 | Kuwait | KWT | 1961 | 24.213000 | NaN |
| 653 | Kuwait | KWT | 1962 | 23.340000 | NaN |
| 917 | Kuwait | KWT | 1963 | 22.489000 | NaN |
| 1181 | Kuwait | KWT | 1964 | 21.659000 | NaN |
| 1445 | Kuwait | KWT | 1965 | 20.727000 | NaN |
| 1709 | Kuwait | KWT | 1966 | 19.284000 | NaN |
| 1973 | Kuwait | KWT | 1967 | 17.919000 | NaN |
| 2237 | Kuwait | KWT | 1968 | 16.629000 | NaN |
| 2501 | Kuwait | KWT | 1969 | 15.418000 | NaN |
| 2765 | Kuwait | KWT | 1970 | 14.339000 | NaN |
| 3029 | Kuwait | KWT | 1971 | 13.556000 | NaN |
| 3293 | Kuwait | KWT | 1972 | 12.808000 | NaN |
| 3557 | Kuwait | KWT | 1973 | 12.098000 | NaN |
| 3821 | Kuwait | KWT | 1974 | 11.421000 | NaN |
| 4085 | Kuwait | KWT | 1975 | 10.616000 | NaN |
| 4349 | Kuwait | KWT | 1976 | 9.255000 | NaN |
| 4613 | Kuwait | KWT | 1977 | 8.056000 | NaN |
| 4877 | Kuwait | KWT | 1978 | 7.000000 | NaN |
| 5141 | Kuwait | KWT | 1979 | 6.072000 | NaN |
| 5405 | Kuwait | KWT | 1980 | 5.219000 | NaN |
| 5669 | Kuwait | KWT | 1981 | 4.330000 | NaN |
| 5933 | Kuwait | KWT | 1982 | 3.586000 | NaN |
| 6197 | Kuwait | KWT | 1983 | 2.966000 | NaN |
| 6461 | Kuwait | KWT | 1984 | 2.449000 | NaN |
| 6725 | Kuwait | KWT | 1985 | 2.097000 | NaN |
| 6989 | Kuwait | KWT | 1986 | 2.083000 | NaN |
| 7253 | Kuwait | KWT | 1987 | 2.068000 | NaN |
| 7517 | Kuwait | KWT | 1988 | 2.054000 | NaN |
| 7781 | Kuwait | KWT | 1989 | 2.040000 | NaN |
| 8045 | Kuwait | KWT | 1990 | 2.026000 | 100.000000 |
| 8309 | Kuwait | KWT | 1991 | 2.012000 | 100.000000 |
| 8573 | Kuwait | KWT | 1992 | 1.998000 | 100.000000 |
| 8837 | Kuwait | KWT | 1993 | 1.984000 | 100.000000 |
| 9101 | Kuwait | KWT | 1994 | 1.971000 | 100.000000 |
| 9365 | Kuwait | KWT | 1995 | 1.957000 | 100.000000 |
| 9629 | Kuwait | KWT | 1996 | 1.943000 | 100.000000 |
| 9893 | Kuwait | KWT | 1997 | 1.929000 | 100.000000 |
| 10157 | Kuwait | KWT | 1998 | 1.915000 | 100.000000 |
| 10421 | Kuwait | KWT | 1999 | 1.901000 | 100.000000 |
| 10685 | Kuwait | KWT | 2000 | 1.887000 | 100.000000 |
| 10949 | Kuwait | KWT | 2001 | 1.872000 | 100.000000 |
| 11213 | Kuwait | KWT | 2002 | 1.858000 | 100.000000 |
| 11477 | Kuwait | KWT | 2003 | 1.843000 | 100.000000 |
| 11741 | Kuwait | KWT | 2004 | 1.828000 | 100.000000 |
| 12005 | Kuwait | KWT | 2005 | 1.813000 | 100.000000 |
| 12269 | Kuwait | KWT | 2006 | 1.798000 | 100.000000 |
| 12533 | Kuwait | KWT | 2007 | 1.783000 | 100.000000 |
| 12797 | Kuwait | KWT | 2008 | 1.768000 | 100.000000 |
| 13061 | Kuwait | KWT | 2009 | 1.752000 | 100.000000 |
| 13325 | Kuwait | KWT | 2010 | 1.737000 | 100.000000 |
| 13589 | Kuwait | KWT | 2011 | 1.721000 | 100.000000 |
| 13853 | Kuwait | KWT | 2012 | 1.706000 | 100.000000 |
| 14117 | Kuwait | KWT | 2013 | 1.690000 | 100.000000 |
| 14381 | Kuwait | KWT | 2014 | 1.674000 | 100.000000 |
| 14645 | Kuwait | KWT | 2015 | 1.658000 | 100.000000 |
| 14909 | Kuwait | KWT | 2016 | 1.642000 | 100.000000 |
| 15173 | Kuwait | KWT | 2017 | 1.626000 | NaN |
| 120 | Kyrgyz Republic | KGZ | 1960 | 65.819000 | NaN |
| 384 | Kyrgyz Republic | KGZ | 1961 | 65.489000 | NaN |
| 648 | Kyrgyz Republic | KGZ | 1962 | 65.156000 | NaN |
| 912 | Kyrgyz Republic | KGZ | 1963 | 64.822000 | NaN |
| 1176 | Kyrgyz Republic | KGZ | 1964 | 64.485000 | NaN |
| 1440 | Kyrgyz Republic | KGZ | 1965 | 64.149000 | NaN |
| 1704 | Kyrgyz Republic | KGZ | 1966 | 63.810000 | NaN |
| 1968 | Kyrgyz Republic | KGZ | 1967 | 63.470000 | NaN |
| 2232 | Kyrgyz Republic | KGZ | 1968 | 63.129000 | NaN |
| 2496 | Kyrgyz Republic | KGZ | 1969 | 62.786000 | NaN |
| 2760 | Kyrgyz Republic | KGZ | 1970 | 62.534000 | NaN |
| 3024 | Kyrgyz Republic | KGZ | 1971 | 62.391000 | NaN |
| 3288 | Kyrgyz Republic | KGZ | 1972 | 62.247000 | NaN |
| 3552 | Kyrgyz Republic | KGZ | 1973 | 62.103000 | NaN |
| 3816 | Kyrgyz Republic | KGZ | 1974 | 61.958000 | NaN |
| 4080 | Kyrgyz Republic | KGZ | 1975 | 61.814000 | NaN |
| 4344 | Kyrgyz Republic | KGZ | 1976 | 61.669000 | NaN |
| 4608 | Kyrgyz Republic | KGZ | 1977 | 61.524000 | NaN |
| 4872 | Kyrgyz Republic | KGZ | 1978 | 61.379000 | NaN |
| 5136 | Kyrgyz Republic | KGZ | 1979 | 61.323000 | NaN |
| 5400 | Kyrgyz Republic | KGZ | 1980 | 61.373000 | NaN |
| 5664 | Kyrgyz Republic | KGZ | 1981 | 61.423000 | NaN |
| 5928 | Kyrgyz Republic | KGZ | 1982 | 61.473000 | NaN |
| 6192 | Kyrgyz Republic | KGZ | 1983 | 61.523000 | NaN |
| 6456 | Kyrgyz Republic | KGZ | 1984 | 61.573000 | NaN |
| 6720 | Kyrgyz Republic | KGZ | 1985 | 61.623000 | NaN |
| 6984 | Kyrgyz Republic | KGZ | 1986 | 61.673000 | NaN |
| 7248 | Kyrgyz Republic | KGZ | 1987 | 61.723000 | NaN |
| 7512 | Kyrgyz Republic | KGZ | 1988 | 61.773000 | NaN |
| 7776 | Kyrgyz Republic | KGZ | 1989 | 61.935000 | NaN |
| 8040 | Kyrgyz Republic | KGZ | 1990 | 62.223000 | 99.174187 |
| 8304 | Kyrgyz Republic | KGZ | 1991 | 62.510000 | 99.267258 |
| 8568 | Kyrgyz Republic | KGZ | 1992 | 62.797000 | 99.359825 |
| 8832 | Kyrgyz Republic | KGZ | 1993 | 63.082000 | 99.449333 |
| 9096 | Kyrgyz Republic | KGZ | 1994 | 63.367000 | 99.532722 |
| 9360 | Kyrgyz Republic | KGZ | 1995 | 63.651000 | 99.606934 |
| 9624 | Kyrgyz Republic | KGZ | 1996 | 63.934000 | 99.668907 |
| 9888 | Kyrgyz Republic | KGZ | 1997 | 64.215000 | 99.800000 |
| 10152 | Kyrgyz Republic | KGZ | 1998 | 64.496000 | 99.743912 |
| 10416 | Kyrgyz Republic | KGZ | 1999 | 64.700000 | 99.750816 |
| 10680 | Kyrgyz Republic | KGZ | 2000 | 64.702000 | 99.734779 |
| 10944 | Kyrgyz Republic | KGZ | 2001 | 64.704000 | 99.700325 |
| 11208 | Kyrgyz Republic | KGZ | 2002 | 64.705000 | 100.000000 |
| 11472 | Kyrgyz Republic | KGZ | 2003 | 64.707000 | 99.600449 |
| 11736 | Kyrgyz Republic | KGZ | 2004 | 64.708000 | 99.547142 |
| 12000 | Kyrgyz Republic | KGZ | 2005 | 64.710000 | 99.442308 |
| 12264 | Kyrgyz Republic | KGZ | 2006 | 64.711000 | 99.464127 |
| 12528 | Kyrgyz Republic | KGZ | 2007 | 64.713000 | 99.446541 |
| 12792 | Kyrgyz Republic | KGZ | 2008 | 64.715000 | 99.451469 |
| 13056 | Kyrgyz Republic | KGZ | 2009 | 64.716000 | 99.477432 |
| 13320 | Kyrgyz Republic | KGZ | 2010 | 64.697000 | 99.000000 |
| 13584 | Kyrgyz Republic | KGZ | 2011 | 64.658000 | 99.580421 |
| 13848 | Kyrgyz Republic | KGZ | 2012 | 64.597000 | 99.800000 |
| 14112 | Kyrgyz Republic | KGZ | 2013 | 64.517000 | 99.731476 |
| 14376 | Kyrgyz Republic | KGZ | 2014 | 64.415000 | 99.800000 |
| 14640 | Kyrgyz Republic | KGZ | 2015 | 64.293000 | 99.906555 |
| 14904 | Kyrgyz Republic | KGZ | 2016 | 64.150000 | 99.996101 |
| 15168 | Kyrgyz Republic | KGZ | 2017 | 63.986000 | NaN |
| 127 | Lao PDR | LAO | 1960 | 92.054000 | NaN |
| 391 | Lao PDR | LAO | 1961 | 91.980000 | NaN |
| 655 | Lao PDR | LAO | 1962 | 91.905000 | NaN |
| 919 | Lao PDR | LAO | 1963 | 91.830000 | NaN |
| 1183 | Lao PDR | LAO | 1964 | 91.754000 | NaN |
| 1447 | Lao PDR | LAO | 1965 | 91.677000 | NaN |
| 1711 | Lao PDR | LAO | 1966 | 91.600000 | NaN |
| 1975 | Lao PDR | LAO | 1967 | 91.308000 | NaN |
| 2239 | Lao PDR | LAO | 1968 | 91.006000 | NaN |
| 2503 | Lao PDR | LAO | 1969 | 90.696000 | NaN |
| 2767 | Lao PDR | LAO | 1970 | 90.375000 | NaN |
| 3031 | Lao PDR | LAO | 1971 | 90.045000 | NaN |
| 3295 | Lao PDR | LAO | 1972 | 89.705000 | NaN |
| 3559 | Lao PDR | LAO | 1973 | 89.403000 | NaN |
| 3823 | Lao PDR | LAO | 1974 | 89.163000 | NaN |
| 4087 | Lao PDR | LAO | 1975 | 88.919000 | NaN |
| 4351 | Lao PDR | LAO | 1976 | 88.669000 | NaN |
| 4615 | Lao PDR | LAO | 1977 | 88.416000 | NaN |
| 4879 | Lao PDR | LAO | 1978 | 88.157000 | NaN |
| 5143 | Lao PDR | LAO | 1979 | 87.893000 | NaN |
| 5407 | Lao PDR | LAO | 1980 | 87.623000 | NaN |
| 5671 | Lao PDR | LAO | 1981 | 87.350000 | NaN |
| 5935 | Lao PDR | LAO | 1982 | 87.070000 | NaN |
| 6199 | Lao PDR | LAO | 1983 | 86.786000 | NaN |
| 6463 | Lao PDR | LAO | 1984 | 86.496000 | NaN |
| 6727 | Lao PDR | LAO | 1985 | 86.196000 | NaN |
| 6991 | Lao PDR | LAO | 1986 | 85.882000 | NaN |
| 7255 | Lao PDR | LAO | 1987 | 85.561000 | NaN |
| 7519 | Lao PDR | LAO | 1988 | 85.234000 | NaN |
| 7783 | Lao PDR | LAO | 1989 | 84.902000 | NaN |
| 8047 | Lao PDR | LAO | 1990 | 84.563000 | 15.302614 |
| 8311 | Lao PDR | LAO | 1991 | 84.218000 | 18.125353 |
| 8575 | Lao PDR | LAO | 1992 | 83.867000 | 20.947582 |
| 8839 | Lao PDR | LAO | 1993 | 83.510000 | 31.000000 |
| 9103 | Lao PDR | LAO | 1994 | 83.146000 | 26.579802 |
| 9367 | Lao PDR | LAO | 1995 | 82.622000 | 25.000000 |
| 9631 | Lao PDR | LAO | 1996 | 81.766000 | 32.175316 |
| 9895 | Lao PDR | LAO | 1997 | 80.880000 | 34.951656 |
| 10159 | Lao PDR | LAO | 1998 | 79.961000 | 37.709644 |
| 10423 | Lao PDR | LAO | 1999 | 79.009000 | 40.446217 |
| 10687 | Lao PDR | LAO | 2000 | 78.023000 | 43.159840 |
| 10951 | Lao PDR | LAO | 2001 | 77.007000 | 45.855049 |
| 11215 | Lao PDR | LAO | 2002 | 75.956000 | 46.300000 |
| 11479 | Lao PDR | LAO | 2003 | 74.874000 | 48.000000 |
| 11743 | Lao PDR | LAO | 2004 | 73.758000 | 53.890854 |
| 12007 | Lao PDR | LAO | 2005 | 72.614000 | 57.200000 |
| 12271 | Lao PDR | LAO | 2006 | 71.463000 | 57.041059 |
| 12535 | Lao PDR | LAO | 2007 | 70.312000 | 61.979244 |
| 12799 | Lao PDR | LAO | 2008 | 69.161000 | 66.000000 |
| 13063 | Lao PDR | LAO | 2009 | 68.015000 | 67.469467 |
| 13327 | Lao PDR | LAO | 2010 | 66.877000 | 70.243111 |
| 13591 | Lao PDR | LAO | 2011 | 65.748000 | 70.000000 |
| 13855 | Lao PDR | LAO | 2012 | 64.632000 | 76.366628 |
| 14119 | Lao PDR | LAO | 2013 | 63.531000 | 78.642159 |
| 14383 | Lao PDR | LAO | 2014 | 62.449000 | 81.457863 |
| 14647 | Lao PDR | LAO | 2015 | 61.386000 | 89.700000 |
| 14911 | Lao PDR | LAO | 2016 | 60.346000 | 87.095772 |
| 15175 | Lao PDR | LAO | 2017 | 59.331000 | NaN |
| 140 | Late-demographic dividend | LTE | 1960 | 73.813663 | NaN |
| 404 | Late-demographic dividend | LTE | 1961 | 73.053362 | NaN |
| 668 | Late-demographic dividend | LTE | 1962 | 72.401391 | NaN |
| 932 | Late-demographic dividend | LTE | 1963 | 71.841587 | NaN |
| 1196 | Late-demographic dividend | LTE | 1964 | 71.265834 | NaN |
| 1460 | Late-demographic dividend | LTE | 1965 | 71.159130 | NaN |
| 1724 | Late-demographic dividend | LTE | 1966 | 71.076074 | NaN |
| 1988 | Late-demographic dividend | LTE | 1967 | 70.958158 | NaN |
| 2252 | Late-demographic dividend | LTE | 1968 | 70.836880 | NaN |
| 2516 | Late-demographic dividend | LTE | 1969 | 70.723814 | NaN |
| 2780 | Late-demographic dividend | LTE | 1970 | 70.617482 | NaN |
| 3044 | Late-demographic dividend | LTE | 1971 | 70.522993 | NaN |
| 3308 | Late-demographic dividend | LTE | 1972 | 70.411112 | NaN |
| 3572 | Late-demographic dividend | LTE | 1973 | 70.225588 | NaN |
| 3836 | Late-demographic dividend | LTE | 1974 | 69.959343 | NaN |
| 4100 | Late-demographic dividend | LTE | 1975 | 69.674424 | NaN |
| 4364 | Late-demographic dividend | LTE | 1976 | 69.404042 | NaN |
| 4628 | Late-demographic dividend | LTE | 1977 | 69.120544 | NaN |
| 4892 | Late-demographic dividend | LTE | 1978 | 68.638324 | NaN |
| 5156 | Late-demographic dividend | LTE | 1979 | 67.965493 | NaN |
| 5420 | Late-demographic dividend | LTE | 1980 | 67.289888 | NaN |
| 5684 | Late-demographic dividend | LTE | 1981 | 66.613460 | NaN |
| 5948 | Late-demographic dividend | LTE | 1982 | 65.942966 | NaN |
| 6212 | Late-demographic dividend | LTE | 1983 | 65.363356 | NaN |
| 6476 | Late-demographic dividend | LTE | 1984 | 64.761824 | NaN |
| 6740 | Late-demographic dividend | LTE | 1985 | 64.162063 | NaN |
| 7004 | Late-demographic dividend | LTE | 1986 | 63.571269 | NaN |
| 7268 | Late-demographic dividend | LTE | 1987 | 62.986115 | NaN |
| 7532 | Late-demographic dividend | LTE | 1988 | 62.398280 | NaN |
| 7796 | Late-demographic dividend | LTE | 1989 | 61.826011 | NaN |
| 8060 | Late-demographic dividend | LTE | 1990 | 61.270303 | 89.701449 |
| 8324 | Late-demographic dividend | LTE | 1991 | 60.640865 | 90.321544 |
| 8588 | Late-demographic dividend | LTE | 1992 | 60.057902 | 90.582974 |
| 8852 | Late-demographic dividend | LTE | 1993 | 59.402476 | 91.132310 |
| 9116 | Late-demographic dividend | LTE | 1994 | 58.739622 | 91.640352 |
| 9380 | Late-demographic dividend | LTE | 1995 | 58.024305 | 92.042013 |
| 9644 | Late-demographic dividend | LTE | 1996 | 57.344622 | 92.599388 |
| 9908 | Late-demographic dividend | LTE | 1997 | 56.647517 | 92.873482 |
| 10172 | Late-demographic dividend | LTE | 1998 | 55.934059 | 93.510008 |
| 10436 | Late-demographic dividend | LTE | 1999 | 55.206542 | 93.908828 |
| 10700 | Late-demographic dividend | LTE | 2000 | 54.457964 | 94.123717 |
| 10964 | Late-demographic dividend | LTE | 2001 | 53.584415 | 94.671163 |
| 11228 | Late-demographic dividend | LTE | 2002 | 52.637084 | 95.238533 |
| 11492 | Late-demographic dividend | LTE | 2003 | 51.670739 | 95.496740 |
| 11756 | Late-demographic dividend | LTE | 2004 | 50.688173 | 95.798228 |
| 12020 | Late-demographic dividend | LTE | 2005 | 49.695158 | 96.373808 |
| 12284 | Late-demographic dividend | LTE | 2006 | 48.717084 | 97.074384 |
| 12548 | Late-demographic dividend | LTE | 2007 | 47.743371 | 96.963104 |
| 12812 | Late-demographic dividend | LTE | 2008 | 46.763038 | 97.395921 |
| 13076 | Late-demographic dividend | LTE | 2009 | 45.783058 | 97.854681 |
| 13340 | Late-demographic dividend | LTE | 2010 | 44.802534 | 98.385804 |
| 13604 | Late-demographic dividend | LTE | 2011 | 43.824663 | 98.554327 |
| 13868 | Late-demographic dividend | LTE | 2012 | 42.869200 | 98.818101 |
| 14132 | Late-demographic dividend | LTE | 2013 | 41.940820 | 98.975509 |
| 14396 | Late-demographic dividend | LTE | 2014 | 41.040114 | 98.920143 |
| 14660 | Late-demographic dividend | LTE | 2015 | 40.166910 | 99.117034 |
| 14924 | Late-demographic dividend | LTE | 2016 | 39.323713 | 99.223055 |
| 15188 | Late-demographic dividend | LTE | 2017 | 38.508428 | NaN |
| 132 | Latin America & Caribbean | LCN | 1960 | 50.722703 | NaN |
| 396 | Latin America & Caribbean | LCN | 1961 | 49.933514 | NaN |
| 660 | Latin America & Caribbean | LCN | 1962 | 49.133358 | NaN |
| 924 | Latin America & Caribbean | LCN | 1963 | 48.330495 | NaN |
| 1188 | Latin America & Caribbean | LCN | 1964 | 47.522691 | NaN |
| 1452 | Latin America & Caribbean | LCN | 1965 | 46.762226 | NaN |
| 1716 | Latin America & Caribbean | LCN | 1966 | 46.002546 | NaN |
| 1980 | Latin America & Caribbean | LCN | 1967 | 45.244243 | NaN |
| 2244 | Latin America & Caribbean | LCN | 1968 | 44.485123 | NaN |
| 2508 | Latin America & Caribbean | LCN | 1969 | 43.729560 | NaN |
| 2772 | Latin America & Caribbean | LCN | 1970 | 42.978691 | NaN |
| 3036 | Latin America & Caribbean | LCN | 1971 | 42.220820 | NaN |
| 3300 | Latin America & Caribbean | LCN | 1972 | 41.469426 | NaN |
| 3564 | Latin America & Caribbean | LCN | 1973 | 40.741901 | NaN |
| 3828 | Latin America & Caribbean | LCN | 1974 | 40.023133 | NaN |
| 4092 | Latin America & Caribbean | LCN | 1975 | 39.304984 | NaN |
| 4356 | Latin America & Caribbean | LCN | 1976 | 38.590759 | NaN |
| 4620 | Latin America & Caribbean | LCN | 1977 | 37.877802 | NaN |
| 4884 | Latin America & Caribbean | LCN | 1978 | 37.167755 | NaN |
| 5148 | Latin America & Caribbean | LCN | 1979 | 36.464610 | NaN |
| 5412 | Latin America & Caribbean | LCN | 1980 | 35.762366 | NaN |
| 5676 | Latin America & Caribbean | LCN | 1981 | 35.076220 | NaN |
| 5940 | Latin America & Caribbean | LCN | 1982 | 34.418963 | NaN |
| 6204 | Latin America & Caribbean | LCN | 1983 | 33.779691 | NaN |
| 6468 | Latin America & Caribbean | LCN | 1984 | 33.146885 | NaN |
| 6732 | Latin America & Caribbean | LCN | 1985 | 32.520241 | NaN |
| 6996 | Latin America & Caribbean | LCN | 1986 | 31.907061 | NaN |
| 7260 | Latin America & Caribbean | LCN | 1987 | 31.305393 | NaN |
| 7524 | Latin America & Caribbean | LCN | 1988 | 30.711901 | NaN |
| 7788 | Latin America & Caribbean | LCN | 1989 | 30.130412 | NaN |
| 8052 | Latin America & Caribbean | LCN | 1990 | 29.564949 | 85.562333 |
| 8316 | Latin America & Caribbean | LCN | 1991 | 29.033282 | 86.746947 |
| 8580 | Latin America & Caribbean | LCN | 1992 | 28.524309 | 86.891562 |
| 8844 | Latin America & Caribbean | LCN | 1993 | 28.027241 | 87.676782 |
| 9108 | Latin America & Caribbean | LCN | 1994 | 27.534615 | 88.502138 |
| 9372 | Latin America & Caribbean | LCN | 1995 | 27.050759 | 88.639751 |
| 9636 | Latin America & Caribbean | LCN | 1996 | 26.589190 | 89.630473 |
| 9900 | Latin America & Caribbean | LCN | 1997 | 26.118402 | 90.094270 |
| 10164 | Latin America & Caribbean | LCN | 1998 | 25.651130 | 90.734845 |
| 10428 | Latin America & Caribbean | LCN | 1999 | 25.200998 | 91.340081 |
| 10692 | Latin America & Caribbean | LCN | 2000 | 24.754499 | 91.705124 |
| 10956 | Latin America & Caribbean | LCN | 2001 | 24.398032 | 92.037576 |
| 11220 | Latin America & Caribbean | LCN | 2002 | 24.065630 | 92.615866 |
| 11484 | Latin America & Caribbean | LCN | 2003 | 23.740616 | 92.914464 |
| 11748 | Latin America & Caribbean | LCN | 2004 | 23.417575 | 93.230546 |
| 12012 | Latin America & Caribbean | LCN | 2005 | 23.099930 | 93.617202 |
| 12276 | Latin America & Caribbean | LCN | 2006 | 22.786340 | 94.283121 |
| 12540 | Latin America & Caribbean | LCN | 2007 | 22.477124 | 94.606209 |
| 12804 | Latin America & Caribbean | LCN | 2008 | 22.171706 | 95.308896 |
| 13068 | Latin America & Caribbean | LCN | 2009 | 21.871475 | 95.559863 |
| 13332 | Latin America & Caribbean | LCN | 2010 | 21.574823 | 95.910934 |
| 13596 | Latin America & Caribbean | LCN | 2011 | 21.282678 | 96.260928 |
| 13860 | Latin America & Caribbean | LCN | 2012 | 20.997321 | 96.611470 |
| 14124 | Latin America & Caribbean | LCN | 2013 | 20.718360 | 97.000284 |
| 14388 | Latin America & Caribbean | LCN | 2014 | 20.445744 | 97.013168 |
| 14652 | Latin America & Caribbean | LCN | 2015 | 20.179572 | 97.252756 |
| 14916 | Latin America & Caribbean | LCN | 2016 | 19.919624 | 97.797594 |
| 15180 | Latin America & Caribbean | LCN | 2017 | 19.665364 | NaN |
| 126 | Latin America & Caribbean (excluding high income) | LAC | 1960 | 54.388175 | NaN |
| 390 | Latin America & Caribbean (excluding high income) | LAC | 1961 | 53.525109 | NaN |
| 654 | Latin America & Caribbean (excluding high income) | LAC | 1962 | 52.641651 | NaN |
| 918 | Latin America & Caribbean (excluding high income) | LAC | 1963 | 51.755301 | NaN |
| 1182 | Latin America & Caribbean (excluding high income) | LAC | 1964 | 50.863876 | NaN |
| 1446 | Latin America & Caribbean (excluding high income) | LAC | 1965 | 50.029343 | NaN |
| 1710 | Latin America & Caribbean (excluding high income) | LAC | 1966 | 49.196850 | NaN |
| 1974 | Latin America & Caribbean (excluding high income) | LAC | 1967 | 48.366736 | NaN |
| 2238 | Latin America & Caribbean (excluding high income) | LAC | 1968 | 47.536957 | NaN |
| 2502 | Latin America & Caribbean (excluding high income) | LAC | 1969 | 46.711893 | NaN |
| 2766 | Latin America & Caribbean (excluding high income) | LAC | 1970 | 45.892179 | NaN |
| 3030 | Latin America & Caribbean (excluding high income) | LAC | 1971 | 45.057144 | NaN |
| 3294 | Latin America & Caribbean (excluding high income) | LAC | 1972 | 44.229550 | NaN |
| 3558 | Latin America & Caribbean (excluding high income) | LAC | 1973 | 43.430524 | NaN |
| 3822 | Latin America & Caribbean (excluding high income) | LAC | 1974 | 42.642031 | NaN |
| 4086 | Latin America & Caribbean (excluding high income) | LAC | 1975 | 41.854205 | NaN |
| 4350 | Latin America & Caribbean (excluding high income) | LAC | 1976 | 41.072690 | NaN |
| 4614 | Latin America & Caribbean (excluding high income) | LAC | 1977 | 40.291988 | NaN |
| 4878 | Latin America & Caribbean (excluding high income) | LAC | 1978 | 39.515266 | NaN |
| 5142 | Latin America & Caribbean (excluding high income) | LAC | 1979 | 38.747044 | NaN |
| 5406 | Latin America & Caribbean (excluding high income) | LAC | 1980 | 37.989376 | NaN |
| 5670 | Latin America & Caribbean (excluding high income) | LAC | 1981 | 37.278596 | NaN |
| 5934 | Latin America & Caribbean (excluding high income) | LAC | 1982 | 36.597897 | NaN |
| 6198 | Latin America & Caribbean (excluding high income) | LAC | 1983 | 35.923699 | NaN |
| 6462 | Latin America & Caribbean (excluding high income) | LAC | 1984 | 35.254349 | NaN |
| 6726 | Latin America & Caribbean (excluding high income) | LAC | 1985 | 34.589308 | NaN |
| 6990 | Latin America & Caribbean (excluding high income) | LAC | 1986 | 33.937540 | NaN |
| 7254 | Latin America & Caribbean (excluding high income) | LAC | 1987 | 33.296759 | NaN |
| 7518 | Latin America & Caribbean (excluding high income) | LAC | 1988 | 32.663068 | NaN |
| 7782 | Latin America & Caribbean (excluding high income) | LAC | 1989 | 32.040526 | NaN |
| 8046 | Latin America & Caribbean (excluding high income) | LAC | 1990 | 31.432373 | 84.914907 |
| 8310 | Latin America & Caribbean (excluding high income) | LAC | 1991 | 30.856877 | 86.132466 |
| 8574 | Latin America & Caribbean (excluding high income) | LAC | 1992 | 30.298054 | 86.238964 |
| 8838 | Latin America & Caribbean (excluding high income) | LAC | 1993 | 29.759069 | 87.071152 |
| 9102 | Latin America & Caribbean (excluding high income) | LAC | 1994 | 29.225425 | 87.950653 |
| 9366 | Latin America & Caribbean (excluding high income) | LAC | 1995 | 28.701764 | 88.050311 |
| 9630 | Latin America & Caribbean (excluding high income) | LAC | 1996 | 28.204040 | 89.130442 |
| 9894 | Latin America & Caribbean (excluding high income) | LAC | 1997 | 27.695474 | 89.593007 |
| 10158 | Latin America & Caribbean (excluding high income) | LAC | 1998 | 27.192026 | 90.244518 |
| 10422 | Latin America & Caribbean (excluding high income) | LAC | 1999 | 26.706299 | 90.906904 |
| 10686 | Latin America & Caribbean (excluding high income) | LAC | 2000 | 26.223421 | 91.237576 |
| 10950 | Latin America & Caribbean (excluding high income) | LAC | 2001 | 25.837875 | 91.601540 |
| 11214 | Latin America & Caribbean (excluding high income) | LAC | 2002 | 25.480212 | 92.160865 |
| 11478 | Latin America & Caribbean (excluding high income) | LAC | 2003 | 25.131085 | 92.393288 |
| 11742 | Latin America & Caribbean (excluding high income) | LAC | 2004 | 24.783931 | 92.783700 |
| 12006 | Latin America & Caribbean (excluding high income) | LAC | 2005 | 24.442278 | 93.184228 |
| 12270 | Latin America & Caribbean (excluding high income) | LAC | 2006 | 24.104512 | 93.866474 |
| 12534 | Latin America & Caribbean (excluding high income) | LAC | 2007 | 23.771228 | 94.224591 |
| 12798 | Latin America & Caribbean (excluding high income) | LAC | 2008 | 23.442132 | 94.977763 |
| 13062 | Latin America & Caribbean (excluding high income) | LAC | 2009 | 23.118743 | 95.196717 |
| 13326 | Latin America & Caribbean (excluding high income) | LAC | 2010 | 22.799444 | 95.570544 |
| 13590 | Latin America & Caribbean (excluding high income) | LAC | 2011 | 22.484529 | 95.913879 |
| 13854 | Latin America & Caribbean (excluding high income) | LAC | 2012 | 22.177230 | 96.268276 |
| 14118 | Latin America & Caribbean (excluding high income) | LAC | 2013 | 21.877177 | 96.703737 |
| 14382 | Latin America & Caribbean (excluding high income) | LAC | 2014 | 21.583685 | 96.678677 |
| 14646 | Latin America & Caribbean (excluding high income) | LAC | 2015 | 21.297270 | 96.951278 |
| 14910 | Latin America & Caribbean (excluding high income) | LAC | 2016 | 21.017646 | 97.552717 |
| 15174 | Latin America & Caribbean (excluding high income) | LAC | 2017 | 20.744253 | NaN |
| 234 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1960 | 50.988145 | NaN |
| 498 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1961 | 50.182637 | NaN |
| 762 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1962 | 49.366194 | NaN |
| 1026 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1963 | 48.547377 | NaN |
| 1290 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1964 | 47.723476 | NaN |
| 1554 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1965 | 46.949219 | NaN |
| 1818 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1966 | 46.175675 | NaN |
| 2082 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1967 | 45.403548 | NaN |
| 2346 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1968 | 44.630750 | NaN |
| 2610 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1969 | 43.861536 | NaN |
| 2874 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1970 | 43.096091 | NaN |
| 3138 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1971 | 42.336994 | NaN |
| 3402 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1972 | 41.587952 | NaN |
| 3666 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1973 | 40.863382 | NaN |
| 3930 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1974 | 40.147641 | NaN |
| 4194 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1975 | 39.431875 | NaN |
| 4458 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1976 | 38.719513 | NaN |
| 4722 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1977 | 38.007605 | NaN |
| 4986 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1978 | 37.298449 | NaN |
| 5250 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1979 | 36.595841 | NaN |
| 5514 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1980 | 35.901449 | NaN |
| 5778 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1981 | 35.243191 | NaN |
| 6042 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1982 | 34.606450 | NaN |
| 6306 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1983 | 33.983661 | NaN |
| 6570 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1984 | 33.364370 | NaN |
| 6834 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1985 | 32.748255 | NaN |
| 7098 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1986 | 32.143338 | NaN |
| 7362 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1987 | 31.547674 | NaN |
| 7626 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1988 | 30.958059 | NaN |
| 7890 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1989 | 30.378497 | NaN |
| 8154 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1990 | 29.811534 | 85.381281 |
| 8418 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1991 | 29.268227 | 86.586457 |
| 8682 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1992 | 28.744548 | 86.724744 |
| 8946 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1993 | 28.233852 | 87.520024 |
| 9210 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1994 | 27.728180 | 88.356343 |
| 9474 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1995 | 27.231878 | 88.487887 |
| 9738 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1996 | 26.759194 | 89.493714 |
| 10002 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1997 | 26.277902 | 89.959926 |
| 10266 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1998 | 25.802470 | 90.606967 |
| 10530 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 1999 | 25.342996 | 91.218850 |
| 10794 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2000 | 24.886731 | 91.579251 |
| 11058 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2001 | 24.522110 | 91.914630 |
| 11322 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2002 | 24.182403 | 92.446231 |
| 11586 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2003 | 23.849071 | 92.748402 |
| 11850 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2004 | 23.516475 | 93.068483 |
| 12114 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2005 | 23.189444 | 93.461144 |
| 12378 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2006 | 22.866486 | 94.141100 |
| 12642 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2007 | 22.548074 | 94.468020 |
| 12906 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2008 | 22.233788 | 95.186103 |
| 13170 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2009 | 21.925063 | 95.441090 |
| 13434 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2010 | 21.620251 | 95.801052 |
| 13698 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2011 | 21.319658 | 96.161153 |
| 13962 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2012 | 21.026296 | 96.522279 |
| 14226 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2013 | 20.739815 | 96.922377 |
| 14490 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2014 | 20.459816 | 96.936467 |
| 14754 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2015 | 20.186735 | 97.183215 |
| 15018 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2016 | 19.920309 | 97.742979 |
| 15282 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | 2017 | 19.660023 | NaN |
| 143 | Latvia | LVA | 1960 | 47.133000 | NaN |
| 407 | Latvia | LVA | 1961 | 46.337000 | NaN |
| 671 | Latvia | LVA | 1962 | 45.541000 | NaN |
| 935 | Latvia | LVA | 1963 | 44.747000 | NaN |
| 1199 | Latvia | LVA | 1964 | 43.955000 | NaN |
| 1463 | Latvia | LVA | 1965 | 43.168000 | NaN |
| 1727 | Latvia | LVA | 1966 | 42.383000 | NaN |
| 1991 | Latvia | LVA | 1967 | 41.602000 | NaN |
| 2255 | Latvia | LVA | 1968 | 40.825000 | NaN |
| 2519 | Latvia | LVA | 1969 | 40.054000 | NaN |
| 2783 | Latvia | LVA | 1970 | 39.287000 | NaN |
| 3047 | Latvia | LVA | 1971 | 38.567000 | NaN |
| 3311 | Latvia | LVA | 1972 | 37.878000 | NaN |
| 3575 | Latvia | LVA | 1973 | 37.195000 | NaN |
| 3839 | Latvia | LVA | 1974 | 36.516000 | NaN |
| 4103 | Latvia | LVA | 1975 | 35.843000 | NaN |
| 4367 | Latvia | LVA | 1976 | 35.174000 | NaN |
| 4631 | Latvia | LVA | 1977 | 34.513000 | NaN |
| 4895 | Latvia | LVA | 1978 | 33.857000 | NaN |
| 5159 | Latvia | LVA | 1979 | 33.314000 | NaN |
| 5423 | Latvia | LVA | 1980 | 32.905000 | NaN |
| 5687 | Latvia | LVA | 1981 | 32.560000 | NaN |
| 5951 | Latvia | LVA | 1982 | 32.278000 | NaN |
| 6215 | Latvia | LVA | 1983 | 31.997000 | NaN |
| 6479 | Latvia | LVA | 1984 | 31.717000 | NaN |
| 6743 | Latvia | LVA | 1985 | 31.440000 | NaN |
| 7007 | Latvia | LVA | 1986 | 31.218000 | NaN |
| 7271 | Latvia | LVA | 1987 | 31.053000 | NaN |
| 7535 | Latvia | LVA | 1988 | 30.888000 | NaN |
| 7799 | Latvia | LVA | 1989 | 30.800000 | NaN |
| 8063 | Latvia | LVA | 1990 | 30.750000 | 100.000000 |
| 8327 | Latvia | LVA | 1991 | 30.799000 | 100.000000 |
| 8591 | Latvia | LVA | 1992 | 31.148000 | 100.000000 |
| 8855 | Latvia | LVA | 1993 | 31.201000 | 100.000000 |
| 9119 | Latvia | LVA | 1994 | 31.099000 | 100.000000 |
| 9383 | Latvia | LVA | 1995 | 31.250000 | 100.000000 |
| 9647 | Latvia | LVA | 1996 | 31.350000 | 100.000000 |
| 9911 | Latvia | LVA | 1997 | 31.400000 | 100.000000 |
| 10175 | Latvia | LVA | 1998 | 31.549000 | 100.000000 |
| 10439 | Latvia | LVA | 1999 | 31.780000 | 100.000000 |
| 10703 | Latvia | LVA | 2000 | 31.933000 | 100.000000 |
| 10967 | Latvia | LVA | 2001 | 32.050000 | 100.000000 |
| 11231 | Latvia | LVA | 2002 | 32.150000 | 100.000000 |
| 11495 | Latvia | LVA | 2003 | 32.200000 | 100.000000 |
| 11759 | Latvia | LVA | 2004 | 32.100000 | 100.000000 |
| 12023 | Latvia | LVA | 2005 | 32.000000 | 100.000000 |
| 12287 | Latvia | LVA | 2006 | 32.033000 | 100.000000 |
| 12551 | Latvia | LVA | 2007 | 32.100000 | 100.000000 |
| 12815 | Latvia | LVA | 2008 | 32.166000 | 100.000000 |
| 13079 | Latvia | LVA | 2009 | 32.236000 | 100.000000 |
| 13343 | Latvia | LVA | 2010 | 32.308000 | 100.000000 |
| 13607 | Latvia | LVA | 2011 | 32.380000 | 100.000000 |
| 13871 | Latvia | LVA | 2012 | 32.452000 | 100.000000 |
| 14135 | Latvia | LVA | 2013 | 32.524000 | 100.000000 |
| 14399 | Latvia | LVA | 2014 | 32.579000 | 100.000000 |
| 14663 | Latvia | LVA | 2015 | 32.618000 | 100.000000 |
| 14927 | Latvia | LVA | 2016 | 32.639000 | 100.000000 |
| 15191 | Latvia | LVA | 2017 | 32.643000 | NaN |
| 133 | Least developed countries: UN classification | LDC | 1960 | 90.411772 | NaN |
| 397 | Least developed countries: UN classification | LDC | 1961 | 90.166174 | NaN |
| 661 | Least developed countries: UN classification | LDC | 1962 | 89.898704 | NaN |
| 925 | Least developed countries: UN classification | LDC | 1963 | 89.616883 | NaN |
| 1189 | Least developed countries: UN classification | LDC | 1964 | 89.320602 | NaN |
| 1453 | Least developed countries: UN classification | LDC | 1965 | 89.013779 | NaN |
| 1717 | Least developed countries: UN classification | LDC | 1966 | 88.697124 | NaN |
| 1981 | Least developed countries: UN classification | LDC | 1967 | 88.346751 | NaN |
| 2245 | Least developed countries: UN classification | LDC | 1968 | 87.982328 | NaN |
| 2509 | Least developed countries: UN classification | LDC | 1969 | 87.600981 | NaN |
| 2773 | Least developed countries: UN classification | LDC | 1970 | 87.218866 | NaN |
| 3037 | Least developed countries: UN classification | LDC | 1971 | 86.801328 | NaN |
| 3301 | Least developed countries: UN classification | LDC | 1972 | 86.359545 | NaN |
| 3565 | Least developed countries: UN classification | LDC | 1973 | 85.912266 | NaN |
| 3829 | Least developed countries: UN classification | LDC | 1974 | 85.458185 | NaN |
| 4093 | Least developed countries: UN classification | LDC | 1975 | 85.552644 | NaN |
| 4357 | Least developed countries: UN classification | LDC | 1976 | 85.070563 | NaN |
| 4621 | Least developed countries: UN classification | LDC | 1977 | 84.567248 | NaN |
| 4885 | Least developed countries: UN classification | LDC | 1978 | 84.045706 | NaN |
| 5149 | Least developed countries: UN classification | LDC | 1979 | 83.542737 | NaN |
| 5413 | Least developed countries: UN classification | LDC | 1980 | 82.980067 | NaN |
| 5677 | Least developed countries: UN classification | LDC | 1981 | 82.491327 | NaN |
| 5941 | Least developed countries: UN classification | LDC | 1982 | 82.160659 | NaN |
| 6205 | Least developed countries: UN classification | LDC | 1983 | 81.805625 | NaN |
| 6469 | Least developed countries: UN classification | LDC | 1984 | 81.420612 | NaN |
| 6733 | Least developed countries: UN classification | LDC | 1985 | 81.012771 | NaN |
| 6997 | Least developed countries: UN classification | LDC | 1986 | 80.601801 | NaN |
| 7261 | Least developed countries: UN classification | LDC | 1987 | 80.187044 | NaN |
| 7525 | Least developed countries: UN classification | LDC | 1988 | 79.763995 | NaN |
| 7789 | Least developed countries: UN classification | LDC | 1989 | 79.345401 | NaN |
| 8053 | Least developed countries: UN classification | LDC | 1990 | 78.911889 | 9.086144 |
| 8317 | Least developed countries: UN classification | LDC | 1991 | 78.507085 | 10.551573 |
| 8581 | Least developed countries: UN classification | LDC | 1992 | 78.126954 | 11.061820 |
| 8845 | Least developed countries: UN classification | LDC | 1993 | 77.758347 | 11.695571 |
| 9109 | Least developed countries: UN classification | LDC | 1994 | 77.438878 | 12.639440 |
| 9373 | Least developed countries: UN classification | LDC | 1995 | 77.126416 | 13.983443 |
| 9637 | Least developed countries: UN classification | LDC | 1996 | 76.815112 | 15.638718 |
| 9901 | Least developed countries: UN classification | LDC | 1997 | 76.494309 | 15.784804 |
| 10165 | Least developed countries: UN classification | LDC | 1998 | 76.179973 | 17.949783 |
| 10429 | Least developed countries: UN classification | LDC | 1999 | 75.864831 | 18.940118 |
| 10693 | Least developed countries: UN classification | LDC | 2000 | 75.542069 | 20.477991 |
| 10957 | Least developed countries: UN classification | LDC | 2001 | 75.167572 | 21.054638 |
| 11221 | Least developed countries: UN classification | LDC | 2002 | 74.761269 | 22.666316 |
| 11485 | Least developed countries: UN classification | LDC | 2003 | 74.334304 | 24.089728 |
| 11749 | Least developed countries: UN classification | LDC | 2004 | 73.896572 | 24.700255 |
| 12013 | Least developed countries: UN classification | LDC | 2005 | 73.444560 | 25.844766 |
| 12277 | Least developed countries: UN classification | LDC | 2006 | 72.985154 | 28.546948 |
| 12541 | Least developed countries: UN classification | LDC | 2007 | 72.517419 | 29.439375 |
| 12805 | Least developed countries: UN classification | LDC | 2008 | 72.025447 | 30.453359 |
| 13069 | Least developed countries: UN classification | LDC | 2009 | 71.527127 | 31.455251 |
| 13333 | Least developed countries: UN classification | LDC | 2010 | 71.022289 | 32.514074 |
| 13597 | Least developed countries: UN classification | LDC | 2011 | 70.512123 | 34.155075 |
| 13861 | Least developed countries: UN classification | LDC | 2012 | 69.997928 | 36.418343 |
| 14125 | Least developed countries: UN classification | LDC | 2013 | 69.481003 | 37.119920 |
| 14389 | Least developed countries: UN classification | LDC | 2014 | 68.960642 | 38.701964 |
| 14653 | Least developed countries: UN classification | LDC | 2015 | 68.437240 | 40.703883 |
| 14917 | Least developed countries: UN classification | LDC | 2016 | 67.910949 | 44.787362 |
| 15181 | Least developed countries: UN classification | LDC | 2017 | 67.382292 | NaN |
| 128 | Lebanon | LBN | 1960 | 57.657000 | NaN |
| 392 | Lebanon | LBN | 1961 | 55.961000 | NaN |
| 656 | Lebanon | LBN | 1962 | 54.248000 | NaN |
| 920 | Lebanon | LBN | 1963 | 52.525000 | NaN |
| 1184 | Lebanon | LBN | 1964 | 50.793000 | NaN |
| 1448 | Lebanon | LBN | 1965 | 49.065000 | NaN |
| 1712 | Lebanon | LBN | 1966 | 47.336000 | NaN |
| 1976 | Lebanon | LBN | 1967 | 45.614000 | NaN |
| 2240 | Lebanon | LBN | 1968 | 43.899000 | NaN |
| 2504 | Lebanon | LBN | 1969 | 42.204000 | NaN |
| 2768 | Lebanon | LBN | 1970 | 40.525000 | NaN |
| 3032 | Lebanon | LBN | 1971 | 38.940000 | NaN |
| 3296 | Lebanon | LBN | 1972 | 37.420000 | NaN |
| 3560 | Lebanon | LBN | 1973 | 35.928000 | NaN |
| 3824 | Lebanon | LBN | 1974 | 34.460000 | NaN |
| 4088 | Lebanon | LBN | 1975 | 33.022000 | NaN |
| 4352 | Lebanon | LBN | 1976 | 31.613000 | NaN |
| 4616 | Lebanon | LBN | 1977 | 30.241000 | NaN |
| 4880 | Lebanon | LBN | 1978 | 28.901000 | NaN |
| 5144 | Lebanon | LBN | 1979 | 27.597000 | NaN |
| 5408 | Lebanon | LBN | 1980 | 26.328000 | NaN |
| 5672 | Lebanon | LBN | 1981 | 25.101000 | NaN |
| 5936 | Lebanon | LBN | 1982 | 23.911000 | NaN |
| 6200 | Lebanon | LBN | 1983 | 22.760000 | NaN |
| 6464 | Lebanon | LBN | 1984 | 21.647000 | NaN |
| 6728 | Lebanon | LBN | 1985 | 20.578000 | NaN |
| 6992 | Lebanon | LBN | 1986 | 19.546000 | NaN |
| 7256 | Lebanon | LBN | 1987 | 18.554000 | NaN |
| 7520 | Lebanon | LBN | 1988 | 17.600000 | NaN |
| 7784 | Lebanon | LBN | 1989 | 17.237000 | NaN |
| 8048 | Lebanon | LBN | 1990 | 16.880000 | 97.908699 |
| 8312 | Lebanon | LBN | 1991 | 16.528000 | 98.089478 |
| 8576 | Lebanon | LBN | 1992 | 16.182000 | 98.268753 |
| 8840 | Lebanon | LBN | 1993 | 15.843000 | 98.444473 |
| 9104 | Lebanon | LBN | 1994 | 15.509000 | 98.613983 |
| 9368 | Lebanon | LBN | 1995 | 15.180000 | 98.774307 |
| 9632 | Lebanon | LBN | 1996 | 14.858000 | 98.922394 |
| 9896 | Lebanon | LBN | 1997 | 14.541000 | 99.055206 |
| 10160 | Lebanon | LBN | 1998 | 14.230000 | 99.169952 |
| 10424 | Lebanon | LBN | 1999 | 14.115000 | 99.264786 |
| 10688 | Lebanon | LBN | 2000 | 14.000000 | 99.339897 |
| 10952 | Lebanon | LBN | 2001 | 13.885000 | 99.398094 |
| 11216 | Lebanon | LBN | 2002 | 13.769000 | 99.444229 |
| 11480 | Lebanon | LBN | 2003 | 13.652000 | 99.484100 |
| 11744 | Lebanon | LBN | 2004 | 13.534000 | 99.900000 |
| 12008 | Lebanon | LBN | 2005 | 13.416000 | 99.569221 |
| 12272 | Lebanon | LBN | 2006 | 13.297000 | 99.383817 |
| 12536 | Lebanon | LBN | 2007 | 13.178000 | 99.900000 |
| 12800 | Lebanon | LBN | 2008 | 13.058000 | 99.900000 |
| 13064 | Lebanon | LBN | 2009 | 12.938000 | 99.878304 |
| 13328 | Lebanon | LBN | 2010 | 12.817000 | 99.948807 |
| 13592 | Lebanon | LBN | 2011 | 12.696000 | 99.684011 |
| 13856 | Lebanon | LBN | 2012 | 12.574000 | 99.998306 |
| 14120 | Lebanon | LBN | 2013 | 12.452000 | 100.000000 |
| 14384 | Lebanon | LBN | 2014 | 12.330000 | 100.000000 |
| 14648 | Lebanon | LBN | 2015 | 12.208000 | 100.000000 |
| 14912 | Lebanon | LBN | 2016 | 12.086000 | 100.000000 |
| 15176 | Lebanon | LBN | 2017 | 11.963000 | NaN |
| 139 | Lesotho | LSO | 1960 | 96.488000 | NaN |
| 403 | Lesotho | LSO | 1961 | 96.040000 | NaN |
| 667 | Lesotho | LSO | 1962 | 95.536000 | NaN |
| 931 | Lesotho | LSO | 1963 | 94.971000 | NaN |
| 1195 | Lesotho | LSO | 1964 | 94.339000 | NaN |
| 1459 | Lesotho | LSO | 1965 | 93.634000 | NaN |
| 1723 | Lesotho | LSO | 1966 | 92.935000 | NaN |
| 1987 | Lesotho | LSO | 1967 | 92.575000 | NaN |
| 2251 | Lesotho | LSO | 1968 | 92.198000 | NaN |
| 2515 | Lesotho | LSO | 1969 | 91.804000 | NaN |
| 2779 | Lesotho | LSO | 1970 | 91.392000 | NaN |
| 3043 | Lesotho | LSO | 1971 | 90.961000 | NaN |
| 3307 | Lesotho | LSO | 1972 | 90.526000 | NaN |
| 3571 | Lesotho | LSO | 1973 | 90.095000 | NaN |
| 3835 | Lesotho | LSO | 1974 | 89.645000 | NaN |
| 4099 | Lesotho | LSO | 1975 | 89.178000 | NaN |
| 4363 | Lesotho | LSO | 1976 | 88.787000 | NaN |
| 4627 | Lesotho | LSO | 1977 | 88.728000 | NaN |
| 4891 | Lesotho | LSO | 1978 | 88.669000 | NaN |
| 5155 | Lesotho | LSO | 1979 | 88.610000 | NaN |
| 5419 | Lesotho | LSO | 1980 | 88.550000 | NaN |
| 5683 | Lesotho | LSO | 1981 | 88.490000 | NaN |
| 5947 | Lesotho | LSO | 1982 | 88.430000 | NaN |
| 6211 | Lesotho | LSO | 1983 | 88.370000 | NaN |
| 6475 | Lesotho | LSO | 1984 | 88.309000 | NaN |
| 6739 | Lesotho | LSO | 1985 | 88.248000 | NaN |
| 7003 | Lesotho | LSO | 1986 | 88.095000 | NaN |
| 7267 | Lesotho | LSO | 1987 | 87.606000 | NaN |
| 7531 | Lesotho | LSO | 1988 | 87.099000 | NaN |
| 7795 | Lesotho | LSO | 1989 | 86.575000 | NaN |
| 8059 | Lesotho | LSO | 1990 | 86.033000 | 0.010000 |
| 8323 | Lesotho | LSO | 1991 | 85.473000 | 0.010000 |
| 8587 | Lesotho | LSO | 1992 | 84.894000 | 0.010000 |
| 8851 | Lesotho | LSO | 1993 | 84.297000 | 0.010000 |
| 9115 | Lesotho | LSO | 1994 | 83.681000 | 0.010000 |
| 9379 | Lesotho | LSO | 1995 | 83.045000 | 0.010000 |
| 9643 | Lesotho | LSO | 1996 | 82.429000 | 0.013580 |
| 9907 | Lesotho | LSO | 1997 | 81.951000 | 0.061690 |
| 10171 | Lesotho | LSO | 1998 | 81.462000 | 0.301523 |
| 10435 | Lesotho | LSO | 1999 | 80.962000 | 0.956824 |
| 10699 | Lesotho | LSO | 2000 | 80.452000 | 4.258760 |
| 10963 | Lesotho | LSO | 2001 | 79.933000 | 3.629650 |
| 11227 | Lesotho | LSO | 2002 | 79.403000 | 5.303377 |
| 11491 | Lesotho | LSO | 2003 | 78.863000 | 6.970820 |
| 11755 | Lesotho | LSO | 2004 | 78.311000 | 6.800000 |
| 12019 | Lesotho | LSO | 2005 | 77.751000 | 10.311108 |
| 12283 | Lesotho | LSO | 2006 | 77.180000 | 9.700000 |
| 12547 | Lesotho | LSO | 2007 | 76.707000 | 13.699017 |
| 12811 | Lesotho | LSO | 2008 | 76.226000 | 15.424476 |
| 13075 | Lesotho | LSO | 2009 | 75.741000 | 17.000000 |
| 13339 | Lesotho | LSO | 2010 | 75.247000 | 18.935472 |
| 13603 | Lesotho | LSO | 2011 | 74.747000 | 20.715002 |
| 13867 | Lesotho | LSO | 2012 | 74.240000 | 22.506548 |
| 14131 | Lesotho | LSO | 2013 | 73.729000 | 24.307104 |
| 14395 | Lesotho | LSO | 2014 | 73.211000 | 27.800000 |
| 14659 | Lesotho | LSO | 2015 | 72.688000 | 27.923239 |
| 14923 | Lesotho | LSO | 2016 | 72.160000 | 29.733309 |
| 15187 | Lesotho | LSO | 2017 | 71.628000 | NaN |
| 129 | Liberia | LBR | 1960 | 81.368000 | NaN |
| 393 | Liberia | LBR | 1961 | 80.709000 | NaN |
| 657 | Liberia | LBR | 1962 | 80.031000 | NaN |
| 921 | Liberia | LBR | 1963 | 79.336000 | NaN |
| 1185 | Liberia | LBR | 1964 | 78.622000 | NaN |
| 1449 | Liberia | LBR | 1965 | 77.892000 | NaN |
| 1713 | Liberia | LBR | 1966 | 77.144000 | NaN |
| 1977 | Liberia | LBR | 1967 | 76.378000 | NaN |
| 2241 | Liberia | LBR | 1968 | 75.593000 | NaN |
| 2505 | Liberia | LBR | 1969 | 74.793000 | NaN |
| 2769 | Liberia | LBR | 1970 | 73.975000 | NaN |
| 3033 | Liberia | LBR | 1971 | 73.140000 | NaN |
| 3297 | Liberia | LBR | 1972 | 72.287000 | NaN |
| 3561 | Liberia | LBR | 1973 | 71.419000 | NaN |
| 3825 | Liberia | LBR | 1974 | 70.530000 | NaN |
| 4089 | Liberia | LBR | 1975 | 69.618000 | NaN |
| 4353 | Liberia | LBR | 1976 | 68.689000 | NaN |
| 4617 | Liberia | LBR | 1977 | 67.748000 | NaN |
| 4881 | Liberia | LBR | 1978 | 66.791000 | NaN |
| 5145 | Liberia | LBR | 1979 | 65.819000 | NaN |
| 5409 | Liberia | LBR | 1980 | 64.833000 | NaN |
| 5673 | Liberia | LBR | 1981 | 63.837000 | NaN |
| 5937 | Liberia | LBR | 1982 | 62.827000 | NaN |
| 6201 | Liberia | LBR | 1983 | 61.806000 | NaN |
| 6465 | Liberia | LBR | 1984 | 60.166000 | NaN |
| 6729 | Liberia | LBR | 1985 | 57.627000 | NaN |
| 6993 | Liberia | LBR | 1986 | 55.044000 | NaN |
| 7257 | Liberia | LBR | 1987 | 52.433000 | NaN |
| 7521 | Liberia | LBR | 1988 | 49.805000 | NaN |
| 7785 | Liberia | LBR | 1989 | 47.186000 | NaN |
| 8049 | Liberia | LBR | 1990 | 44.578000 | 0.010000 |
| 8313 | Liberia | LBR | 1991 | 42.000000 | 0.010000 |
| 8577 | Liberia | LBR | 1992 | 44.981000 | 0.010000 |
| 8841 | Liberia | LBR | 1993 | 47.991000 | 0.010000 |
| 9105 | Liberia | LBR | 1994 | 51.019000 | 0.010000 |
| 9369 | Liberia | LBR | 1995 | 54.040000 | 0.010000 |
| 9633 | Liberia | LBR | 1996 | 57.036000 | 0.010000 |
| 9897 | Liberia | LBR | 1997 | 56.696000 | 0.010000 |
| 10161 | Liberia | LBR | 1998 | 56.354000 | 0.010000 |
| 10425 | Liberia | LBR | 1999 | 56.012000 | 0.010000 |
| 10689 | Liberia | LBR | 2000 | 55.669000 | 0.010000 |
| 10953 | Liberia | LBR | 2001 | 55.327000 | 0.010000 |
| 11217 | Liberia | LBR | 2002 | 54.983000 | 0.010000 |
| 11481 | Liberia | LBR | 2003 | 54.639000 | 0.010000 |
| 11745 | Liberia | LBR | 2004 | 54.294000 | 0.011187 |
| 12009 | Liberia | LBR | 2005 | 53.949000 | 0.044350 |
| 12273 | Liberia | LBR | 2006 | 53.604000 | 0.244777 |
| 12537 | Liberia | LBR | 2007 | 53.258000 | 3.000000 |
| 12801 | Liberia | LBR | 2008 | 52.912000 | 1.752656 |
| 13065 | Liberia | LBR | 2009 | 52.559000 | 1.900000 |
| 13329 | Liberia | LBR | 2010 | 52.199000 | 5.146131 |
| 13593 | Liberia | LBR | 2011 | 51.832000 | 4.100000 |
| 13857 | Liberia | LBR | 2012 | 51.459000 | 8.599684 |
| 14121 | Liberia | LBR | 2013 | 51.079000 | 9.800000 |
| 14385 | Liberia | LBR | 2014 | 50.692000 | 9.400000 |
| 14649 | Liberia | LBR | 2015 | 50.299000 | 13.840092 |
| 14913 | Liberia | LBR | 2016 | 49.900000 | 19.800000 |
| 15177 | Liberia | LBR | 2017 | 49.495000 | NaN |
| 130 | Libya | LBY | 1960 | 72.677000 | NaN |
| 394 | Libya | LBY | 1961 | 71.803000 | NaN |
| 658 | Libya | LBY | 1962 | 70.911000 | NaN |
| 922 | Libya | LBY | 1963 | 70.002000 | NaN |
| 1186 | Libya | LBY | 1964 | 69.076000 | NaN |
| 1450 | Libya | LBY | 1965 | 66.334000 | NaN |
| 1714 | Libya | LBY | 1966 | 63.302000 | NaN |
| 1978 | Libya | LBY | 1967 | 60.161000 | NaN |
| 2242 | Libya | LBY | 1968 | 56.930000 | NaN |
| 2506 | Libya | LBY | 1969 | 53.648000 | NaN |
| 2770 | Libya | LBY | 1970 | 50.329000 | NaN |
| 3034 | Libya | LBY | 1971 | 47.008000 | NaN |
| 3298 | Libya | LBY | 1972 | 43.708000 | NaN |
| 3562 | Libya | LBY | 1973 | 40.472000 | NaN |
| 3826 | Libya | LBY | 1974 | 38.763000 | NaN |
| 4090 | Libya | LBY | 1975 | 37.215000 | NaN |
| 4354 | Libya | LBY | 1976 | 35.690000 | NaN |
| 4618 | Libya | LBY | 1977 | 34.198000 | NaN |
| 4882 | Libya | LBY | 1978 | 32.735000 | NaN |
| 5146 | Libya | LBY | 1979 | 31.304000 | NaN |
| 5410 | Libya | LBY | 1980 | 29.906000 | NaN |
| 5674 | Libya | LBY | 1981 | 28.549000 | NaN |
| 5938 | Libya | LBY | 1982 | 27.227000 | NaN |
| 6202 | Libya | LBY | 1983 | 25.945000 | NaN |
| 6466 | Libya | LBY | 1984 | 24.700000 | NaN |
| 6730 | Libya | LBY | 1985 | 24.550000 | NaN |
| 6994 | Libya | LBY | 1986 | 24.495000 | NaN |
| 7258 | Libya | LBY | 1987 | 24.440000 | NaN |
| 7522 | Libya | LBY | 1988 | 24.386000 | NaN |
| 7786 | Libya | LBY | 1989 | 24.331000 | NaN |
| 8050 | Libya | LBY | 1990 | 24.277000 | 99.835930 |
| 8314 | Libya | LBY | 1991 | 24.223000 | 99.847420 |
| 8578 | Libya | LBY | 1992 | 24.168000 | 99.858406 |
| 8842 | Libya | LBY | 1993 | 24.114000 | 99.866333 |
| 9106 | Libya | LBY | 1994 | 24.060000 | 99.868141 |
| 9370 | Libya | LBY | 1995 | 24.006000 | 99.860764 |
| 9634 | Libya | LBY | 1996 | 23.952000 | 99.841164 |
| 9898 | Libya | LBY | 1997 | 23.890000 | 99.806259 |
| 10162 | Libya | LBY | 1998 | 23.819000 | 99.752998 |
| 10426 | Libya | LBY | 1999 | 23.741000 | 99.678329 |
| 10690 | Libya | LBY | 2000 | 23.654000 | 99.800000 |
| 10954 | Libya | LBY | 2001 | 23.559000 | 99.464676 |
| 11218 | Libya | LBY | 2002 | 23.456000 | 99.336296 |
| 11482 | Libya | LBY | 2003 | 23.345000 | 99.201630 |
| 11746 | Libya | LBY | 2004 | 23.226000 | 99.066742 |
| 12010 | Libya | LBY | 2005 | 23.100000 | 98.937706 |
| 12274 | Libya | LBY | 2006 | 22.966000 | 98.820564 |
| 12538 | Libya | LBY | 2007 | 22.825000 | 98.721397 |
| 12802 | Libya | LBY | 2008 | 22.676000 | 98.644753 |
| 13066 | Libya | LBY | 2009 | 22.521000 | 98.589127 |
| 13330 | Libya | LBY | 2010 | 22.358000 | 98.551537 |
| 13594 | Libya | LBY | 2011 | 22.188000 | 98.528954 |
| 13858 | Libya | LBY | 2012 | 22.012000 | 98.518394 |
| 14122 | Libya | LBY | 2013 | 21.830000 | 98.516846 |
| 14386 | Libya | LBY | 2014 | 21.641000 | 98.521301 |
| 14650 | Libya | LBY | 2015 | 21.446000 | 98.528763 |
| 14914 | Libya | LBY | 2016 | 21.246000 | 98.536728 |
| 15178 | Libya | LBY | 2017 | 21.039000 | NaN |
| 135 | Liechtenstein | LIE | 1960 | 79.563000 | NaN |
| 399 | Liechtenstein | LIE | 1961 | 79.685000 | NaN |
| 663 | Liechtenstein | LIE | 1962 | 79.898000 | NaN |
| 927 | Liechtenstein | LIE | 1963 | 80.110000 | NaN |
| 1191 | Liechtenstein | LIE | 1964 | 80.321000 | NaN |
| 1455 | Liechtenstein | LIE | 1965 | 80.529000 | NaN |
| 1719 | Liechtenstein | LIE | 1966 | 80.736000 | NaN |
| 1983 | Liechtenstein | LIE | 1967 | 80.941000 | NaN |
| 2247 | Liechtenstein | LIE | 1968 | 81.145000 | NaN |
| 2511 | Liechtenstein | LIE | 1969 | 81.346000 | NaN |
| 2775 | Liechtenstein | LIE | 1970 | 81.547000 | NaN |
| 3039 | Liechtenstein | LIE | 1971 | 81.636000 | NaN |
| 3303 | Liechtenstein | LIE | 1972 | 81.646000 | NaN |
| 3567 | Liechtenstein | LIE | 1973 | 81.656000 | NaN |
| 3831 | Liechtenstein | LIE | 1974 | 81.666000 | NaN |
| 4095 | Liechtenstein | LIE | 1975 | 81.676000 | NaN |
| 4359 | Liechtenstein | LIE | 1976 | 81.686000 | NaN |
| 4623 | Liechtenstein | LIE | 1977 | 81.696000 | NaN |
| 4887 | Liechtenstein | LIE | 1978 | 81.706000 | NaN |
| 5151 | Liechtenstein | LIE | 1979 | 81.716000 | NaN |
| 5415 | Liechtenstein | LIE | 1980 | 81.726000 | NaN |
| 5679 | Liechtenstein | LIE | 1981 | 81.813000 | NaN |
| 5943 | Liechtenstein | LIE | 1982 | 81.957000 | NaN |
| 6207 | Liechtenstein | LIE | 1983 | 82.099000 | NaN |
| 6471 | Liechtenstein | LIE | 1984 | 82.241000 | NaN |
| 6735 | Liechtenstein | LIE | 1985 | 82.381000 | NaN |
| 6999 | Liechtenstein | LIE | 1986 | 82.521000 | NaN |
| 7263 | Liechtenstein | LIE | 1987 | 82.660000 | NaN |
| 7527 | Liechtenstein | LIE | 1988 | 82.799000 | NaN |
| 7791 | Liechtenstein | LIE | 1989 | 82.936000 | NaN |
| 8055 | Liechtenstein | LIE | 1990 | 83.072000 | 100.000000 |
| 8319 | Liechtenstein | LIE | 1991 | 83.179000 | 100.000000 |
| 8583 | Liechtenstein | LIE | 1992 | 83.264000 | 100.000000 |
| 8847 | Liechtenstein | LIE | 1993 | 83.349000 | 100.000000 |
| 9111 | Liechtenstein | LIE | 1994 | 83.434000 | 100.000000 |
| 9375 | Liechtenstein | LIE | 1995 | 83.518000 | 100.000000 |
| 9639 | Liechtenstein | LIE | 1996 | 83.710000 | 100.000000 |
| 9903 | Liechtenstein | LIE | 1997 | 84.006000 | 100.000000 |
| 10167 | Liechtenstein | LIE | 1998 | 84.298000 | 100.000000 |
| 10431 | Liechtenstein | LIE | 1999 | 84.586000 | 100.000000 |
| 10695 | Liechtenstein | LIE | 2000 | 84.870000 | 100.000000 |
| 10959 | Liechtenstein | LIE | 2001 | 85.038000 | 100.000000 |
| 11223 | Liechtenstein | LIE | 2002 | 85.094000 | 100.000000 |
| 11487 | Liechtenstein | LIE | 2003 | 85.150000 | 100.000000 |
| 11751 | Liechtenstein | LIE | 2004 | 85.205000 | 100.000000 |
| 12015 | Liechtenstein | LIE | 2005 | 85.261000 | 100.000000 |
| 12279 | Liechtenstein | LIE | 2006 | 85.316000 | 100.000000 |
| 12543 | Liechtenstein | LIE | 2007 | 85.371000 | 100.000000 |
| 12807 | Liechtenstein | LIE | 2008 | 85.426000 | 100.000000 |
| 13071 | Liechtenstein | LIE | 2009 | 85.481000 | 100.000000 |
| 13335 | Liechtenstein | LIE | 2010 | 85.536000 | 100.000000 |
| 13599 | Liechtenstein | LIE | 2011 | 85.590000 | 100.000000 |
| 13863 | Liechtenstein | LIE | 2012 | 85.635000 | 100.000000 |
| 14127 | Liechtenstein | LIE | 2013 | 85.670000 | 100.000000 |
| 14391 | Liechtenstein | LIE | 2014 | 85.695000 | 100.000000 |
| 14655 | Liechtenstein | LIE | 2015 | 85.711000 | 100.000000 |
| 14919 | Liechtenstein | LIE | 2016 | 85.717000 | 100.000000 |
| 15183 | Liechtenstein | LIE | 2017 | 85.714000 | NaN |
| 141 | Lithuania | LTU | 1960 | 60.540000 | NaN |
| 405 | Lithuania | LTU | 1961 | 59.557000 | NaN |
| 669 | Lithuania | LTU | 1962 | 58.565000 | NaN |
| 933 | Lithuania | LTU | 1963 | 57.566000 | NaN |
| 1197 | Lithuania | LTU | 1964 | 56.559000 | NaN |
| 1461 | Lithuania | LTU | 1965 | 55.550000 | NaN |
| 1725 | Lithuania | LTU | 1966 | 54.535000 | NaN |
| 1989 | Lithuania | LTU | 1967 | 53.516000 | NaN |
| 2253 | Lithuania | LTU | 1968 | 52.493000 | NaN |
| 2517 | Lithuania | LTU | 1969 | 51.470000 | NaN |
| 2781 | Lithuania | LTU | 1970 | 50.445000 | NaN |
| 3045 | Lithuania | LTU | 1971 | 49.281000 | NaN |
| 3309 | Lithuania | LTU | 1972 | 48.032000 | NaN |
| 3573 | Lithuania | LTU | 1973 | 46.790000 | NaN |
| 3837 | Lithuania | LTU | 1974 | 45.549000 | NaN |
| 4101 | Lithuania | LTU | 1975 | 44.315000 | NaN |
| 4365 | Lithuania | LTU | 1976 | 43.085000 | NaN |
| 4629 | Lithuania | LTU | 1977 | 41.868000 | NaN |
| 4893 | Lithuania | LTU | 1978 | 40.658000 | NaN |
| 5157 | Lithuania | LTU | 1979 | 39.639000 | NaN |
| 5421 | Lithuania | LTU | 1980 | 38.842000 | NaN |
| 5685 | Lithuania | LTU | 1981 | 38.054000 | NaN |
| 5949 | Lithuania | LTU | 1982 | 37.270000 | NaN |
| 6213 | Lithuania | LTU | 1983 | 36.494000 | NaN |
| 6477 | Lithuania | LTU | 1984 | 35.723000 | NaN |
| 6741 | Lithuania | LTU | 1985 | 34.962000 | NaN |
| 7005 | Lithuania | LTU | 1986 | 34.207000 | NaN |
| 7269 | Lithuania | LTU | 1987 | 33.460000 | NaN |
| 7533 | Lithuania | LTU | 1988 | 32.720000 | NaN |
| 7797 | Lithuania | LTU | 1989 | 32.358000 | NaN |
| 8061 | Lithuania | LTU | 1990 | 32.417000 | 100.000000 |
| 8325 | Lithuania | LTU | 1991 | 32.477000 | 100.000000 |
| 8589 | Lithuania | LTU | 1992 | 32.536000 | 100.000000 |
| 8853 | Lithuania | LTU | 1993 | 32.596000 | 100.000000 |
| 9117 | Lithuania | LTU | 1994 | 32.655000 | 100.000000 |
| 9381 | Lithuania | LTU | 1995 | 32.715000 | 100.000000 |
| 9645 | Lithuania | LTU | 1996 | 32.775000 | 100.000000 |
| 9909 | Lithuania | LTU | 1997 | 32.834000 | 100.000000 |
| 10173 | Lithuania | LTU | 1998 | 32.894000 | 100.000000 |
| 10437 | Lithuania | LTU | 1999 | 32.954000 | 100.000000 |
| 10701 | Lithuania | LTU | 2000 | 33.014000 | 100.000000 |
| 10965 | Lithuania | LTU | 2001 | 33.081000 | 100.000000 |
| 11229 | Lithuania | LTU | 2002 | 33.172000 | 100.000000 |
| 11493 | Lithuania | LTU | 2003 | 33.263000 | 100.000000 |
| 11757 | Lithuania | LTU | 2004 | 33.354000 | 100.000000 |
| 12021 | Lithuania | LTU | 2005 | 33.365000 | 100.000000 |
| 12285 | Lithuania | LTU | 2006 | 33.294000 | 100.000000 |
| 12549 | Lithuania | LTU | 2007 | 33.223000 | 100.000000 |
| 12813 | Lithuania | LTU | 2008 | 33.152000 | 100.000000 |
| 13077 | Lithuania | LTU | 2009 | 33.158000 | 100.000000 |
| 13341 | Lithuania | LTU | 2010 | 33.243000 | 100.000000 |
| 13605 | Lithuania | LTU | 2011 | 33.328000 | 100.000000 |
| 13869 | Lithuania | LTU | 2012 | 33.396000 | 100.000000 |
| 14133 | Lithuania | LTU | 2013 | 33.446000 | 100.000000 |
| 14397 | Lithuania | LTU | 2014 | 33.478000 | 100.000000 |
| 14661 | Lithuania | LTU | 2015 | 33.492000 | 100.000000 |
| 14925 | Lithuania | LTU | 2016 | 33.488000 | 100.000000 |
| 15189 | Lithuania | LTU | 2017 | 33.467000 | NaN |
| 138 | Low & middle income | LMY | 1960 | 76.858933 | NaN |
| 402 | Low & middle income | LMY | 1961 | 76.359263 | NaN |
| 666 | Low & middle income | LMY | 1962 | 75.878479 | NaN |
| 930 | Low & middle income | LMY | 1963 | 75.424821 | NaN |
| 1194 | Low & middle income | LMY | 1964 | 74.963052 | NaN |
| 1458 | Low & middle income | LMY | 1965 | 74.721643 | NaN |
| 1722 | Low & middle income | LMY | 1966 | 74.489564 | NaN |
| 1986 | Low & middle income | LMY | 1967 | 74.243748 | NaN |
| 2250 | Low & middle income | LMY | 1968 | 73.993491 | NaN |
| 2514 | Low & middle income | LMY | 1969 | 73.743173 | NaN |
| 2778 | Low & middle income | LMY | 1970 | 73.494243 | NaN |
| 3042 | Low & middle income | LMY | 1971 | 73.238521 | NaN |
| 3306 | Low & middle income | LMY | 1972 | 72.951299 | NaN |
| 3570 | Low & middle income | LMY | 1973 | 72.627924 | NaN |
| 3834 | Low & middle income | LMY | 1974 | 72.267130 | NaN |
| 4098 | Low & middle income | LMY | 1975 | 71.960784 | NaN |
| 4362 | Low & middle income | LMY | 1976 | 71.602759 | NaN |
| 4626 | Low & middle income | LMY | 1977 | 71.241023 | NaN |
| 4890 | Low & middle income | LMY | 1978 | 70.784140 | NaN |
| 5154 | Low & middle income | LMY | 1979 | 70.243500 | NaN |
| 5418 | Low & middle income | LMY | 1980 | 69.696560 | NaN |
| 5682 | Low & middle income | LMY | 1981 | 69.141442 | NaN |
| 5946 | Low & middle income | LMY | 1982 | 68.620409 | NaN |
| 6210 | Low & middle income | LMY | 1983 | 68.136938 | NaN |
| 6474 | Low & middle income | LMY | 1984 | 67.639602 | NaN |
| 6738 | Low & middle income | LMY | 1985 | 67.139795 | NaN |
| 7002 | Low & middle income | LMY | 1986 | 66.644179 | NaN |
| 7266 | Low & middle income | LMY | 1987 | 66.154926 | NaN |
| 7530 | Low & middle income | LMY | 1988 | 65.667566 | NaN |
| 7794 | Low & middle income | LMY | 1989 | 65.192757 | NaN |
| 8058 | Low & middle income | LMY | 1990 | 64.717342 | 65.115097 |
| 8322 | Low & middle income | LMY | 1991 | 64.259585 | 65.425349 |
| 8586 | Low & middle income | LMY | 1992 | 63.806112 | 66.693274 |
| 8850 | Low & middle income | LMY | 1993 | 63.354158 | 67.539907 |
| 9114 | Low & middle income | LMY | 1994 | 62.907134 | 67.934323 |
| 9378 | Low & middle income | LMY | 1995 | 62.460199 | 68.789354 |
| 9642 | Low & middle income | LMY | 1996 | 62.012067 | 69.759847 |
| 9906 | Low & middle income | LMY | 1997 | 61.557648 | 70.652761 |
| 10170 | Low & middle income | LMY | 1998 | 61.097995 | 71.492045 |
| 10434 | Low & middle income | LMY | 1999 | 60.635581 | 72.870732 |
| 10698 | Low & middle income | LMY | 2000 | 60.165078 | 73.045616 |
| 10962 | Low & middle income | LMY | 2001 | 59.647244 | 72.551761 |
| 11226 | Low & middle income | LMY | 2002 | 59.082893 | 74.418330 |
| 11490 | Low & middle income | LMY | 2003 | 58.510278 | 75.211230 |
| 11754 | Low & middle income | LMY | 2004 | 57.931572 | 75.430047 |
| 12018 | Low & middle income | LMY | 2005 | 57.348753 | 76.289740 |
| 12282 | Low & middle income | LMY | 2006 | 56.772346 | 77.328341 |
| 12546 | Low & middle income | LMY | 2007 | 56.198588 | 77.974653 |
| 12810 | Low & middle income | LMY | 2008 | 55.619136 | 78.629150 |
| 13074 | Low & middle income | LMY | 2009 | 55.038620 | 79.769452 |
| 13338 | Low & middle income | LMY | 2010 | 54.457202 | 80.184126 |
| 13602 | Low & middle income | LMY | 2011 | 53.875713 | 78.962004 |
| 13866 | Low & middle income | LMY | 2012 | 53.299262 | 82.031605 |
| 14130 | Low & middle income | LMY | 2013 | 52.731687 | 82.198456 |
| 14394 | Low & middle income | LMY | 2014 | 52.173630 | 82.847168 |
| 14658 | Low & middle income | LMY | 2015 | 51.625104 | 84.468584 |
| 14922 | Low & middle income | LMY | 2016 | 51.086904 | 84.870542 |
| 15186 | Low & middle income | LMY | 2017 | 50.558084 | NaN |
| 134 | Low income | LIC | 1960 | 87.337776 | NaN |
| 398 | Low income | LIC | 1961 | 87.015784 | NaN |
| 662 | Low income | LIC | 1962 | 86.693968 | NaN |
| 926 | Low income | LIC | 1963 | 86.360051 | NaN |
| 1190 | Low income | LIC | 1964 | 86.013945 | NaN |
| 1454 | Low income | LIC | 1965 | 85.652331 | NaN |
| 1718 | Low income | LIC | 1966 | 85.274857 | NaN |
| 1982 | Low income | LIC | 1967 | 84.882170 | NaN |
| 2246 | Low income | LIC | 1968 | 84.413953 | NaN |
| 2510 | Low income | LIC | 1969 | 83.889405 | NaN |
| 2774 | Low income | LIC | 1970 | 83.375595 | NaN |
| 3038 | Low income | LIC | 1971 | 83.020988 | NaN |
| 3302 | Low income | LIC | 1972 | 82.658319 | NaN |
| 3566 | Low income | LIC | 1973 | 82.292093 | NaN |
| 3830 | Low income | LIC | 1974 | 81.917057 | NaN |
| 4094 | Low income | LIC | 1975 | 81.538351 | NaN |
| 4358 | Low income | LIC | 1976 | 81.186838 | NaN |
| 4622 | Low income | LIC | 1977 | 80.830809 | NaN |
| 4886 | Low income | LIC | 1978 | 80.473068 | NaN |
| 5150 | Low income | LIC | 1979 | 80.160787 | NaN |
| 5414 | Low income | LIC | 1980 | 79.862560 | NaN |
| 5678 | Low income | LIC | 1981 | 79.544685 | NaN |
| 5942 | Low income | LIC | 1982 | 79.227042 | NaN |
| 6206 | Low income | LIC | 1983 | 78.888481 | NaN |
| 6470 | Low income | LIC | 1984 | 78.538527 | NaN |
| 6734 | Low income | LIC | 1985 | 78.166142 | NaN |
| 6998 | Low income | LIC | 1986 | 77.801473 | NaN |
| 7262 | Low income | LIC | 1987 | 77.443262 | NaN |
| 7526 | Low income | LIC | 1988 | 77.082209 | NaN |
| 7790 | Low income | LIC | 1989 | 76.733974 | NaN |
| 8054 | Low income | LIC | 1990 | 76.375812 | 8.736739 |
| 8318 | Low income | LIC | 1991 | 76.045829 | 9.350031 |
| 8582 | Low income | LIC | 1992 | 75.728579 | 10.006328 |
| 8846 | Low income | LIC | 1993 | 75.428917 | 10.166860 |
| 9110 | Low income | LIC | 1994 | 75.152100 | 10.770793 |
| 9374 | Low income | LIC | 1995 | 74.888199 | 11.889326 |
| 9638 | Low income | LIC | 1996 | 74.632893 | 13.396326 |
| 9902 | Low income | LIC | 1997 | 74.367166 | 13.741912 |
| 10166 | Low income | LIC | 1998 | 74.113471 | 14.933033 |
| 10430 | Low income | LIC | 1999 | 73.859317 | 15.895963 |
| 10694 | Low income | LIC | 2000 | 73.597018 | 17.928759 |
| 10958 | Low income | LIC | 2001 | 73.310157 | 17.419522 |
| 11222 | Low income | LIC | 2002 | 73.031214 | 18.705631 |
| 11486 | Low income | LIC | 2003 | 72.740818 | 20.327511 |
| 11750 | Low income | LIC | 2004 | 72.437221 | 20.704599 |
| 12014 | Low income | LIC | 2005 | 72.111820 | 21.452878 |
| 12278 | Low income | LIC | 2006 | 71.772333 | 23.718241 |
| 12542 | Low income | LIC | 2007 | 71.419381 | 25.493234 |
| 12806 | Low income | LIC | 2008 | 71.036296 | 26.011060 |
| 13070 | Low income | LIC | 2009 | 70.656490 | 27.137599 |
| 13334 | Low income | LIC | 2010 | 70.282777 | 27.973806 |
| 13598 | Low income | LIC | 2011 | 69.916984 | 28.790618 |
| 13862 | Low income | LIC | 2012 | 69.554651 | 31.411192 |
| 14126 | Low income | LIC | 2013 | 69.190698 | 32.096782 |
| 14390 | Low income | LIC | 2014 | 68.816899 | 33.580832 |
| 14654 | Low income | LIC | 2015 | 68.428247 | 34.470023 |
| 14918 | Low income | LIC | 2016 | 68.024351 | 38.888168 |
| 15182 | Low income | LIC | 2017 | 67.607092 | NaN |
| 137 | Lower middle income | LMC | 1960 | 80.384424 | NaN |
| 401 | Lower middle income | LMC | 1961 | 80.162032 | NaN |
| 665 | Lower middle income | LMC | 1962 | 79.905213 | NaN |
| 929 | Lower middle income | LMC | 1963 | 79.645637 | NaN |
| 1193 | Lower middle income | LMC | 1964 | 79.381016 | NaN |
| 1457 | Lower middle income | LMC | 1965 | 79.112482 | NaN |
| 1721 | Lower middle income | LMC | 1966 | 78.846327 | NaN |
| 1985 | Lower middle income | LMC | 1967 | 78.571555 | NaN |
| 2249 | Lower middle income | LMC | 1968 | 78.294244 | NaN |
| 2513 | Lower middle income | LMC | 1969 | 78.012741 | NaN |
| 2777 | Lower middle income | LMC | 1970 | 77.728040 | NaN |
| 3041 | Lower middle income | LMC | 1971 | 77.414474 | NaN |
| 3305 | Lower middle income | LMC | 1972 | 77.035682 | NaN |
| 3569 | Lower middle income | LMC | 1973 | 76.648293 | NaN |
| 3833 | Lower middle income | LMC | 1974 | 76.256344 | NaN |
| 4097 | Lower middle income | LMC | 1975 | 76.009788 | NaN |
| 4361 | Lower middle income | LMC | 1976 | 75.614874 | NaN |
| 4625 | Lower middle income | LMC | 1977 | 75.221350 | NaN |
| 4889 | Lower middle income | LMC | 1978 | 74.823351 | NaN |
| 5153 | Lower middle income | LMC | 1979 | 74.428120 | NaN |
| 5417 | Lower middle income | LMC | 1980 | 74.016068 | NaN |
| 5681 | Lower middle income | LMC | 1981 | 73.602270 | NaN |
| 5945 | Lower middle income | LMC | 1982 | 73.267361 | NaN |
| 6209 | Lower middle income | LMC | 1983 | 72.924513 | NaN |
| 6473 | Lower middle income | LMC | 1984 | 72.569341 | NaN |
| 6737 | Lower middle income | LMC | 1985 | 72.207006 | NaN |
| 7001 | Lower middle income | LMC | 1986 | 71.837628 | NaN |
| 7265 | Lower middle income | LMC | 1987 | 71.465649 | NaN |
| 7529 | Lower middle income | LMC | 1988 | 71.090173 | NaN |
| 7793 | Lower middle income | LMC | 1989 | 70.718892 | NaN |
| 8057 | Lower middle income | LMC | 1990 | 70.314142 | 47.771130 |
| 8321 | Lower middle income | LMC | 1991 | 69.997869 | 48.036952 |
| 8585 | Lower middle income | LMC | 1992 | 69.689851 | 50.742747 |
| 8849 | Lower middle income | LMC | 1993 | 69.382201 | 52.438327 |
| 9113 | Lower middle income | LMC | 1994 | 69.087166 | 53.017351 |
| 9377 | Lower middle income | LMC | 1995 | 68.798069 | 54.656394 |
| 9641 | Lower middle income | LMC | 1996 | 68.505068 | 56.480736 |
| 9905 | Lower middle income | LMC | 1997 | 68.203885 | 58.088337 |
| 10169 | Lower middle income | LMC | 1998 | 67.896068 | 59.665834 |
| 10433 | Lower middle income | LMC | 1999 | 67.584403 | 62.322300 |
| 10697 | Lower middle income | LMC | 2000 | 67.263555 | 62.398071 |
| 10961 | Lower middle income | LMC | 2001 | 66.942996 | 61.324874 |
| 11225 | Lower middle income | LMC | 2002 | 66.570822 | 64.964181 |
| 11489 | Lower middle income | LMC | 2003 | 66.190331 | 66.413580 |
| 11753 | Lower middle income | LMC | 2004 | 65.802086 | 66.824709 |
| 12017 | Lower middle income | LMC | 2005 | 65.406705 | 68.523050 |
| 12281 | Lower middle income | LMC | 2006 | 65.004549 | 70.117436 |
| 12545 | Lower middle income | LMC | 2007 | 64.595697 | 71.276738 |
| 12809 | Lower middle income | LMC | 2008 | 64.180204 | 72.503947 |
| 13073 | Lower middle income | LMC | 2009 | 63.758775 | 74.631677 |
| 13337 | Lower middle income | LMC | 2010 | 63.330759 | 75.184633 |
| 13601 | Lower middle income | LMC | 2011 | 62.897212 | 72.566309 |
| 13865 | Lower middle income | LMC | 2012 | 62.455076 | 78.573993 |
| 14129 | Lower middle income | LMC | 2013 | 62.006756 | 78.861582 |
| 14393 | Lower middle income | LMC | 2014 | 61.553471 | 80.095757 |
| 14657 | Lower middle income | LMC | 2015 | 61.093162 | 83.516047 |
| 14921 | Lower middle income | LMC | 2016 | 60.628549 | 83.415248 |
| 15185 | Lower middle income | LMC | 2017 | 60.158535 | NaN |
| 142 | Luxembourg | LUX | 1960 | 30.444000 | NaN |
| 406 | Luxembourg | LUX | 1961 | 30.073000 | NaN |
| 670 | Luxembourg | LUX | 1962 | 29.557000 | NaN |
| 934 | Luxembourg | LUX | 1963 | 29.047000 | NaN |
| 1198 | Luxembourg | LUX | 1964 | 28.541000 | NaN |
| 1462 | Luxembourg | LUX | 1965 | 28.042000 | NaN |
| 1726 | Luxembourg | LUX | 1966 | 27.548000 | NaN |
| 1990 | Luxembourg | LUX | 1967 | 27.059000 | NaN |
| 2254 | Luxembourg | LUX | 1968 | 26.575000 | NaN |
| 2518 | Luxembourg | LUX | 1969 | 26.098000 | NaN |
| 2782 | Luxembourg | LUX | 1970 | 25.626000 | NaN |
| 3046 | Luxembourg | LUX | 1971 | 25.084000 | NaN |
| 3310 | Luxembourg | LUX | 1972 | 24.472000 | NaN |
| 3574 | Luxembourg | LUX | 1973 | 23.873000 | NaN |
| 3838 | Luxembourg | LUX | 1974 | 23.283000 | NaN |
| 4102 | Luxembourg | LUX | 1975 | 22.703000 | NaN |
| 4366 | Luxembourg | LUX | 1976 | 22.133000 | NaN |
| 4630 | Luxembourg | LUX | 1977 | 21.574000 | NaN |
| 4894 | Luxembourg | LUX | 1978 | 21.025000 | NaN |
| 5158 | Luxembourg | LUX | 1979 | 20.487000 | NaN |
| 5422 | Luxembourg | LUX | 1980 | 19.958000 | NaN |
| 5686 | Luxembourg | LUX | 1981 | 19.556000 | NaN |
| 5950 | Luxembourg | LUX | 1982 | 19.499000 | NaN |
| 6214 | Luxembourg | LUX | 1983 | 19.443000 | NaN |
| 6478 | Luxembourg | LUX | 1984 | 19.387000 | NaN |
| 6742 | Luxembourg | LUX | 1985 | 19.331000 | NaN |
| 7006 | Luxembourg | LUX | 1986 | 19.275000 | NaN |
| 7270 | Luxembourg | LUX | 1987 | 19.220000 | NaN |
| 7534 | Luxembourg | LUX | 1988 | 19.164000 | NaN |
| 7798 | Luxembourg | LUX | 1989 | 19.109000 | NaN |
| 8062 | Luxembourg | LUX | 1990 | 19.053000 | 100.000000 |
| 8326 | Luxembourg | LUX | 1991 | 18.870000 | 100.000000 |
| 8590 | Luxembourg | LUX | 1992 | 18.472000 | 100.000000 |
| 8854 | Luxembourg | LUX | 1993 | 18.143000 | 100.000000 |
| 9118 | Luxembourg | LUX | 1994 | 17.518000 | 100.000000 |
| 9382 | Luxembourg | LUX | 1995 | 17.107000 | 100.000000 |
| 9646 | Luxembourg | LUX | 1996 | 17.175000 | 100.000000 |
| 9910 | Luxembourg | LUX | 1997 | 17.221000 | 100.000000 |
| 10174 | Luxembourg | LUX | 1998 | 17.107000 | 100.000000 |
| 10438 | Luxembourg | LUX | 1999 | 16.552000 | 100.000000 |
| 10702 | Luxembourg | LUX | 2000 | 15.784000 | 100.000000 |
| 10966 | Luxembourg | LUX | 2001 | 15.157000 | 100.000000 |
| 11230 | Luxembourg | LUX | 2002 | 14.701000 | 100.000000 |
| 11494 | Luxembourg | LUX | 2003 | 14.257000 | 100.000000 |
| 11758 | Luxembourg | LUX | 2004 | 13.823000 | 100.000000 |
| 12022 | Luxembourg | LUX | 2005 | 13.402000 | 100.000000 |
| 12286 | Luxembourg | LUX | 2006 | 12.991000 | 100.000000 |
| 12550 | Luxembourg | LUX | 2007 | 12.591000 | 100.000000 |
| 12814 | Luxembourg | LUX | 2008 | 12.200000 | 100.000000 |
| 13078 | Luxembourg | LUX | 2009 | 11.822000 | 100.000000 |
| 13342 | Luxembourg | LUX | 2010 | 11.453000 | 100.000000 |
| 13606 | Luxembourg | LUX | 2011 | 11.094000 | 100.000000 |
| 13870 | Luxembourg | LUX | 2012 | 10.753000 | 100.000000 |
| 14134 | Luxembourg | LUX | 2013 | 10.432000 | 100.000000 |
| 14398 | Luxembourg | LUX | 2014 | 10.128000 | 100.000000 |
| 14662 | Luxembourg | LUX | 2015 | 9.840000 | 100.000000 |
| 14926 | Luxembourg | LUX | 2016 | 9.568000 | 100.000000 |
| 15190 | Luxembourg | LUX | 2017 | 9.311000 | NaN |
| 144 | Macao SAR, China | MAC | 1960 | 4.711000 | NaN |
| 408 | Macao SAR, China | MAC | 1961 | 4.672000 | NaN |
| 672 | Macao SAR, China | MAC | 1962 | 4.444000 | NaN |
| 936 | Macao SAR, China | MAC | 1963 | 4.227000 | NaN |
| 1200 | Macao SAR, China | MAC | 1964 | 4.020000 | NaN |
| 1464 | Macao SAR, China | MAC | 1965 | 3.823000 | NaN |
| 1728 | Macao SAR, China | MAC | 1966 | 3.635000 | NaN |
| 1992 | Macao SAR, China | MAC | 1967 | 3.456000 | NaN |
| 2256 | Macao SAR, China | MAC | 1968 | 3.285000 | NaN |
| 2520 | Macao SAR, China | MAC | 1969 | 3.123000 | NaN |
| 2784 | Macao SAR, China | MAC | 1970 | 2.968000 | NaN |
| 3048 | Macao SAR, China | MAC | 1971 | 2.792000 | NaN |
| 3312 | Macao SAR, China | MAC | 1972 | 2.603000 | NaN |
| 3576 | Macao SAR, China | MAC | 1973 | 2.427000 | NaN |
| 3840 | Macao SAR, China | MAC | 1974 | 2.262000 | NaN |
| 4104 | Macao SAR, China | MAC | 1975 | 2.109000 | NaN |
| 4368 | Macao SAR, China | MAC | 1976 | 1.965000 | NaN |
| 4632 | Macao SAR, China | MAC | 1977 | 1.831000 | NaN |
| 4896 | Macao SAR, China | MAC | 1978 | 1.706000 | NaN |
| 5160 | Macao SAR, China | MAC | 1979 | 1.590000 | NaN |
| 5424 | Macao SAR, China | MAC | 1980 | 1.481000 | NaN |
| 5688 | Macao SAR, China | MAC | 1981 | 1.345000 | NaN |
| 5952 | Macao SAR, China | MAC | 1982 | 1.111000 | NaN |
| 6216 | Macao SAR, China | MAC | 1983 | 0.916000 | NaN |
| 6480 | Macao SAR, China | MAC | 1984 | 0.756000 | NaN |
| 6744 | Macao SAR, China | MAC | 1985 | 0.623000 | NaN |
| 7008 | Macao SAR, China | MAC | 1986 | 0.514000 | NaN |
| 7272 | Macao SAR, China | MAC | 1987 | 0.424000 | NaN |
| 7536 | Macao SAR, China | MAC | 1988 | 0.349000 | NaN |
| 7800 | Macao SAR, China | MAC | 1989 | 0.288000 | NaN |
| 8064 | Macao SAR, China | MAC | 1990 | 0.237000 | NaN |
| 8328 | Macao SAR, China | MAC | 1991 | 0.195000 | NaN |
| 8592 | Macao SAR, China | MAC | 1992 | 0.161000 | NaN |
| 8856 | Macao SAR, China | MAC | 1993 | 0.133000 | NaN |
| 9120 | Macao SAR, China | MAC | 1994 | 0.109000 | 100.000000 |
| 9384 | Macao SAR, China | MAC | 1995 | 0.090000 | 100.000000 |
| 9648 | Macao SAR, China | MAC | 1996 | 0.020000 | 100.000000 |
| 9912 | Macao SAR, China | MAC | 1997 | 0.000000 | 100.000000 |
| 10176 | Macao SAR, China | MAC | 1998 | 0.000000 | 100.000000 |
| 10440 | Macao SAR, China | MAC | 1999 | 0.000000 | 100.000000 |
| 10704 | Macao SAR, China | MAC | 2000 | 0.000000 | 100.000000 |
| 10968 | Macao SAR, China | MAC | 2001 | 0.000000 | 100.000000 |
| 11232 | Macao SAR, China | MAC | 2002 | 0.000000 | 100.000000 |
| 11496 | Macao SAR, China | MAC | 2003 | 0.000000 | 100.000000 |
| 11760 | Macao SAR, China | MAC | 2004 | 0.000000 | 100.000000 |
| 12024 | Macao SAR, China | MAC | 2005 | 0.000000 | 100.000000 |
| 12288 | Macao SAR, China | MAC | 2006 | 0.000000 | 100.000000 |
| 12552 | Macao SAR, China | MAC | 2007 | 0.000000 | 100.000000 |
| 12816 | Macao SAR, China | MAC | 2008 | 0.000000 | 100.000000 |
| 13080 | Macao SAR, China | MAC | 2009 | 0.000000 | 100.000000 |
| 13344 | Macao SAR, China | MAC | 2010 | 0.000000 | 100.000000 |
| 13608 | Macao SAR, China | MAC | 2011 | 0.000000 | 100.000000 |
| 13872 | Macao SAR, China | MAC | 2012 | 0.000000 | 100.000000 |
| 14136 | Macao SAR, China | MAC | 2013 | 0.000000 | 100.000000 |
| 14400 | Macao SAR, China | MAC | 2014 | 0.000000 | 100.000000 |
| 14664 | Macao SAR, China | MAC | 2015 | 0.000000 | 100.000000 |
| 14928 | Macao SAR, China | MAC | 2016 | 0.000000 | 100.000000 |
| 15192 | Macao SAR, China | MAC | 2017 | 0.000000 | NaN |
| 155 | Macedonia, FYR | MKD | 1960 | 65.980000 | NaN |
| 419 | Macedonia, FYR | MKD | 1961 | 64.786000 | NaN |
| 683 | Macedonia, FYR | MKD | 1962 | 63.527000 | NaN |
| 947 | Macedonia, FYR | MKD | 1963 | 62.250000 | NaN |
| 1211 | Macedonia, FYR | MKD | 1964 | 60.953000 | NaN |
| 1475 | Macedonia, FYR | MKD | 1965 | 59.645000 | NaN |
| 1739 | Macedonia, FYR | MKD | 1966 | 58.320000 | NaN |
| 2003 | Macedonia, FYR | MKD | 1967 | 56.984000 | NaN |
| 2267 | Macedonia, FYR | MKD | 1968 | 55.636000 | NaN |
| 2531 | Macedonia, FYR | MKD | 1969 | 54.282000 | NaN |
| 2795 | Macedonia, FYR | MKD | 1970 | 52.921000 | NaN |
| 3059 | Macedonia, FYR | MKD | 1971 | 51.754000 | NaN |
| 3323 | Macedonia, FYR | MKD | 1972 | 51.173000 | NaN |
| 3587 | Macedonia, FYR | MKD | 1973 | 50.593000 | NaN |
| 3851 | Macedonia, FYR | MKD | 1974 | 50.012000 | NaN |
| 4115 | Macedonia, FYR | MKD | 1975 | 49.431000 | NaN |
| 4379 | Macedonia, FYR | MKD | 1976 | 48.849000 | NaN |
| 4643 | Macedonia, FYR | MKD | 1977 | 48.270000 | NaN |
| 4907 | Macedonia, FYR | MKD | 1978 | 47.690000 | NaN |
| 5171 | Macedonia, FYR | MKD | 1979 | 47.111000 | NaN |
| 5435 | Macedonia, FYR | MKD | 1980 | 46.531000 | NaN |
| 5699 | Macedonia, FYR | MKD | 1981 | 45.993000 | NaN |
| 5963 | Macedonia, FYR | MKD | 1982 | 45.570000 | NaN |
| 6227 | Macedonia, FYR | MKD | 1983 | 45.147000 | NaN |
| 6491 | Macedonia, FYR | MKD | 1984 | 44.724000 | NaN |
| 6755 | Macedonia, FYR | MKD | 1985 | 44.304000 | NaN |
| 7019 | Macedonia, FYR | MKD | 1986 | 43.883000 | NaN |
| 7283 | Macedonia, FYR | MKD | 1987 | 43.464000 | NaN |
| 7547 | Macedonia, FYR | MKD | 1988 | 43.045000 | NaN |
| 7811 | Macedonia, FYR | MKD | 1989 | 42.627000 | NaN |
| 8075 | Macedonia, FYR | MKD | 1990 | 42.211000 | 94.339447 |
| 8339 | Macedonia, FYR | MKD | 1991 | 41.766000 | 94.682144 |
| 8603 | Macedonia, FYR | MKD | 1992 | 41.236000 | 95.024338 |
| 8867 | Macedonia, FYR | MKD | 1993 | 40.709000 | 95.363464 |
| 9131 | Macedonia, FYR | MKD | 1994 | 40.206000 | 95.696480 |
| 9395 | Macedonia, FYR | MKD | 1995 | 40.413000 | 96.020317 |
| 9659 | Macedonia, FYR | MKD | 1996 | 40.620000 | 96.331909 |
| 9923 | Macedonia, FYR | MKD | 1997 | 40.828000 | 96.628212 |
| 10187 | Macedonia, FYR | MKD | 1998 | 41.035000 | 96.906166 |
| 10451 | Macedonia, FYR | MKD | 1999 | 41.243000 | 97.162697 |
| 10715 | Macedonia, FYR | MKD | 2000 | 41.452000 | 97.396278 |
| 10979 | Macedonia, FYR | MKD | 2001 | 41.661000 | 97.611450 |
| 11243 | Macedonia, FYR | MKD | 2002 | 41.870000 | 97.814278 |
| 11507 | Macedonia, FYR | MKD | 2003 | 42.079000 | 98.010651 |
| 11771 | Macedonia, FYR | MKD | 2004 | 42.289000 | 98.211517 |
| 12035 | Macedonia, FYR | MKD | 2005 | 42.473000 | 98.418205 |
| 12299 | Macedonia, FYR | MKD | 2006 | 42.631000 | 99.000000 |
| 12563 | Macedonia, FYR | MKD | 2007 | 42.764000 | 98.871300 |
| 12827 | Macedonia, FYR | MKD | 2008 | 42.871000 | 99.200000 |
| 13091 | Macedonia, FYR | MKD | 2009 | 42.953000 | 99.200000 |
| 13355 | Macedonia, FYR | MKD | 2010 | 43.008000 | 99.651535 |
| 13619 | Macedonia, FYR | MKD | 2011 | 43.038000 | 99.726164 |
| 13883 | Macedonia, FYR | MKD | 2012 | 43.041000 | 99.957458 |
| 14147 | Macedonia, FYR | MKD | 2013 | 43.019000 | 99.993843 |
| 14411 | Macedonia, FYR | MKD | 2014 | 42.971000 | 99.999809 |
| 14675 | Macedonia, FYR | MKD | 2015 | 42.896000 | 100.000000 |
| 14939 | Macedonia, FYR | MKD | 2016 | 42.796000 | 100.000000 |
| 15203 | Macedonia, FYR | MKD | 2017 | 42.671000 | NaN |
| 149 | Madagascar | MDG | 1960 | 89.358000 | NaN |
| 413 | Madagascar | MDG | 1961 | 89.029000 | NaN |
| 677 | Madagascar | MDG | 1962 | 88.691000 | NaN |
| 941 | Madagascar | MDG | 1963 | 88.343000 | NaN |
| 1205 | Madagascar | MDG | 1964 | 87.986000 | NaN |
| 1469 | Madagascar | MDG | 1965 | 87.621000 | NaN |
| 1733 | Madagascar | MDG | 1966 | 87.253000 | NaN |
| 1997 | Madagascar | MDG | 1967 | 86.926000 | NaN |
| 2261 | Madagascar | MDG | 1968 | 86.590000 | NaN |
| 2525 | Madagascar | MDG | 1969 | 86.249000 | NaN |
| 2789 | Madagascar | MDG | 1970 | 85.900000 | NaN |
| 3053 | Madagascar | MDG | 1971 | 85.474000 | NaN |
| 3317 | Madagascar | MDG | 1972 | 85.036000 | NaN |
| 3581 | Madagascar | MDG | 1973 | 84.589000 | NaN |
| 3845 | Madagascar | MDG | 1974 | 84.131000 | NaN |
| 4109 | Madagascar | MDG | 1975 | 83.666000 | NaN |
| 4373 | Madagascar | MDG | 1976 | 83.245000 | NaN |
| 4637 | Madagascar | MDG | 1977 | 82.816000 | NaN |
| 4901 | Madagascar | MDG | 1978 | 82.378000 | NaN |
| 5165 | Madagascar | MDG | 1979 | 81.932000 | NaN |
| 5429 | Madagascar | MDG | 1980 | 81.476000 | NaN |
| 5693 | Madagascar | MDG | 1981 | 81.012000 | NaN |
| 5957 | Madagascar | MDG | 1982 | 80.539000 | NaN |
| 6221 | Madagascar | MDG | 1983 | 80.057000 | NaN |
| 6485 | Madagascar | MDG | 1984 | 79.566000 | NaN |
| 6749 | Madagascar | MDG | 1985 | 79.067000 | NaN |
| 7013 | Madagascar | MDG | 1986 | 78.558000 | NaN |
| 7277 | Madagascar | MDG | 1987 | 78.041000 | NaN |
| 7541 | Madagascar | MDG | 1988 | 77.513000 | NaN |
| 7805 | Madagascar | MDG | 1989 | 76.979000 | NaN |
| 8069 | Madagascar | MDG | 1990 | 76.434000 | 9.571782 |
| 8333 | Madagascar | MDG | 1991 | 75.881000 | 10.014093 |
| 8597 | Madagascar | MDG | 1992 | 75.319000 | 9.200000 |
| 8861 | Madagascar | MDG | 1993 | 74.749000 | 10.894638 |
| 9125 | Madagascar | MDG | 1994 | 74.464000 | 11.327263 |
| 9389 | Madagascar | MDG | 1995 | 74.204000 | 11.750710 |
| 9653 | Madagascar | MDG | 1996 | 73.942000 | 12.161921 |
| 9917 | Madagascar | MDG | 1997 | 73.679000 | 10.900000 |
| 10181 | Madagascar | MDG | 1998 | 73.414000 | 12.935396 |
| 10445 | Madagascar | MDG | 1999 | 73.147000 | 13.291543 |
| 10709 | Madagascar | MDG | 2000 | 72.879000 | 13.624737 |
| 10973 | Madagascar | MDG | 2001 | 72.609000 | 14.800000 |
| 11237 | Madagascar | MDG | 2002 | 72.337000 | 14.241959 |
| 11501 | Madagascar | MDG | 2003 | 72.064000 | 20.300000 |
| 11765 | Madagascar | MDG | 2004 | 71.789000 | 14.834046 |
| 12029 | Madagascar | MDG | 2005 | 71.186000 | 15.135821 |
| 12293 | Madagascar | MDG | 2006 | 70.575000 | 15.449503 |
| 12557 | Madagascar | MDG | 2007 | 69.957000 | 15.781152 |
| 12821 | Madagascar | MDG | 2008 | 69.330000 | 16.135323 |
| 13085 | Madagascar | MDG | 2009 | 68.702000 | 17.400000 |
| 13349 | Madagascar | MDG | 2010 | 68.071000 | 16.903740 |
| 13613 | Madagascar | MDG | 2011 | 67.438000 | 14.300000 |
| 13877 | Madagascar | MDG | 2012 | 66.804000 | 17.732237 |
| 14141 | Madagascar | MDG | 2013 | 66.168000 | 12.900000 |
| 14405 | Madagascar | MDG | 2014 | 65.532000 | 18.596781 |
| 14669 | Madagascar | MDG | 2015 | 64.895000 | 19.035061 |
| 14933 | Madagascar | MDG | 2016 | 64.259000 | 22.900000 |
| 15197 | Madagascar | MDG | 2017 | 63.624000 | NaN |
| 166 | Malawi | MWI | 1960 | 95.610000 | NaN |
| 430 | Malawi | MWI | 1961 | 95.511000 | NaN |
| 694 | Malawi | MWI | 1962 | 95.410000 | NaN |
| 958 | Malawi | MWI | 1963 | 95.306000 | NaN |
| 1222 | Malawi | MWI | 1964 | 95.200000 | NaN |
| 1486 | Malawi | MWI | 1965 | 95.092000 | NaN |
| 1750 | Malawi | MWI | 1966 | 94.982000 | NaN |
| 2014 | Malawi | MWI | 1967 | 94.751000 | NaN |
| 2278 | Malawi | MWI | 1968 | 94.495000 | NaN |
| 2542 | Malawi | MWI | 1969 | 94.227000 | NaN |
| 2806 | Malawi | MWI | 1970 | 93.947000 | NaN |
| 3070 | Malawi | MWI | 1971 | 93.655000 | NaN |
| 3334 | Malawi | MWI | 1972 | 93.349000 | NaN |
| 3598 | Malawi | MWI | 1973 | 93.030000 | NaN |
| 3862 | Malawi | MWI | 1974 | 92.696000 | NaN |
| 4126 | Malawi | MWI | 1975 | 92.348000 | NaN |
| 4390 | Malawi | MWI | 1976 | 91.985000 | NaN |
| 4654 | Malawi | MWI | 1977 | 91.606000 | NaN |
| 4918 | Malawi | MWI | 1978 | 91.364000 | NaN |
| 5182 | Malawi | MWI | 1979 | 91.159000 | NaN |
| 5446 | Malawi | MWI | 1980 | 90.950000 | NaN |
| 5710 | Malawi | MWI | 1981 | 90.737000 | NaN |
| 5974 | Malawi | MWI | 1982 | 90.519000 | NaN |
| 6238 | Malawi | MWI | 1983 | 90.296000 | NaN |
| 6502 | Malawi | MWI | 1984 | 90.069000 | NaN |
| 6766 | Malawi | MWI | 1985 | 89.837000 | NaN |
| 7030 | Malawi | MWI | 1986 | 89.600000 | NaN |
| 7294 | Malawi | MWI | 1987 | 89.359000 | NaN |
| 7558 | Malawi | MWI | 1988 | 89.066000 | NaN |
| 7822 | Malawi | MWI | 1989 | 88.757000 | NaN |
| 8086 | Malawi | MWI | 1990 | 88.440000 | 1.120720 |
| 8350 | Malawi | MWI | 1991 | 88.115000 | 1.549459 |
| 8614 | Malawi | MWI | 1992 | 87.782000 | 3.200000 |
| 8878 | Malawi | MWI | 1993 | 87.442000 | 2.402859 |
| 9142 | Malawi | MWI | 1994 | 87.093000 | 2.821911 |
| 9406 | Malawi | MWI | 1995 | 86.737000 | 3.231786 |
| 9670 | Malawi | MWI | 1996 | 86.371000 | 3.629425 |
| 9934 | Malawi | MWI | 1997 | 85.998000 | 4.011767 |
| 10198 | Malawi | MWI | 1998 | 85.616000 | 4.375756 |
| 10462 | Malawi | MWI | 1999 | 85.478000 | 4.718330 |
| 10726 | Malawi | MWI | 2000 | 85.390000 | 4.800000 |
| 10990 | Malawi | MWI | 2001 | 85.302000 | 5.339164 |
| 11254 | Malawi | MWI | 2002 | 85.214000 | 5.628030 |
| 11518 | Malawi | MWI | 2003 | 85.125000 | 6.200000 |
| 11782 | Malawi | MWI | 2004 | 85.036000 | 6.900000 |
| 12046 | Malawi | MWI | 2005 | 84.946000 | 6.481176 |
| 12310 | Malawi | MWI | 2006 | 84.856000 | 3.653227 |
| 12574 | Malawi | MWI | 2007 | 84.765000 | 7.099362 |
| 12838 | Malawi | MWI | 2008 | 84.674000 | 7.439960 |
| 13102 | Malawi | MWI | 2009 | 84.573000 | 7.801585 |
| 13366 | Malawi | MWI | 2010 | 84.460000 | 8.700000 |
| 13630 | Malawi | MWI | 2011 | 84.337000 | 7.600000 |
| 13894 | Malawi | MWI | 2012 | 84.202000 | 7.400000 |
| 14158 | Malawi | MWI | 2013 | 84.056000 | 9.000000 |
| 14422 | Malawi | MWI | 2014 | 83.898000 | 11.900000 |
| 14686 | Malawi | MWI | 2015 | 83.728000 | 10.800000 |
| 14950 | Malawi | MWI | 2016 | 83.546000 | 11.000000 |
| 15214 | Malawi | MWI | 2017 | 83.352000 | NaN |
| 167 | Malaysia | MYS | 1960 | 73.402000 | NaN |
| 431 | Malaysia | MYS | 1961 | 72.759000 | NaN |
| 695 | Malaysia | MYS | 1962 | 72.105000 | NaN |
| 959 | Malaysia | MYS | 1963 | 71.442000 | NaN |
| 1223 | Malaysia | MYS | 1964 | 70.768000 | NaN |
| 1487 | Malaysia | MYS | 1965 | 70.087000 | NaN |
| 1751 | Malaysia | MYS | 1966 | 69.396000 | NaN |
| 2015 | Malaysia | MYS | 1967 | 68.696000 | NaN |
| 2279 | Malaysia | MYS | 1968 | 67.987000 | NaN |
| 2543 | Malaysia | MYS | 1969 | 67.271000 | NaN |
| 2807 | Malaysia | MYS | 1970 | 66.546000 | NaN |
| 3071 | Malaysia | MYS | 1971 | 65.729000 | NaN |
| 3335 | Malaysia | MYS | 1972 | 64.896000 | NaN |
| 3599 | Malaysia | MYS | 1973 | 64.056000 | NaN |
| 3863 | Malaysia | MYS | 1974 | 63.206000 | NaN |
| 4127 | Malaysia | MYS | 1975 | 62.348000 | NaN |
| 4391 | Malaysia | MYS | 1976 | 61.481000 | NaN |
| 4655 | Malaysia | MYS | 1977 | 60.609000 | NaN |
| 4919 | Malaysia | MYS | 1978 | 59.729000 | NaN |
| 5183 | Malaysia | MYS | 1979 | 58.842000 | NaN |
| 5447 | Malaysia | MYS | 1980 | 57.956000 | NaN |
| 5711 | Malaysia | MYS | 1981 | 57.193000 | NaN |
| 5975 | Malaysia | MYS | 1982 | 56.426000 | NaN |
| 6239 | Malaysia | MYS | 1983 | 55.655000 | NaN |
| 6503 | Malaysia | MYS | 1984 | 54.881000 | NaN |
| 6767 | Malaysia | MYS | 1985 | 54.107000 | NaN |
| 7031 | Malaysia | MYS | 1986 | 53.329000 | NaN |
| 7295 | Malaysia | MYS | 1987 | 52.550000 | NaN |
| 7559 | Malaysia | MYS | 1988 | 51.768000 | NaN |
| 7823 | Malaysia | MYS | 1989 | 50.988000 | NaN |
| 8087 | Malaysia | MYS | 1990 | 50.206000 | 93.955040 |
| 8351 | Malaysia | MYS | 1991 | 49.424000 | 94.297089 |
| 8615 | Malaysia | MYS | 1992 | 48.186000 | 94.638626 |
| 8879 | Malaysia | MYS | 1993 | 46.891000 | 94.977104 |
| 9143 | Malaysia | MYS | 1994 | 45.598000 | 95.309464 |
| 9407 | Malaysia | MYS | 1995 | 44.312000 | 95.632645 |
| 9671 | Malaysia | MYS | 1996 | 43.031000 | 95.943588 |
| 9935 | Malaysia | MYS | 1997 | 41.763000 | 96.239235 |
| 10199 | Malaysia | MYS | 1998 | 40.504000 | 96.516533 |
| 10463 | Malaysia | MYS | 1999 | 39.258000 | 96.772415 |
| 10727 | Malaysia | MYS | 2000 | 38.023000 | 97.005341 |
| 10991 | Malaysia | MYS | 2001 | 37.078000 | 97.219864 |
| 11255 | Malaysia | MYS | 2002 | 36.144000 | 97.422035 |
| 11519 | Malaysia | MYS | 2003 | 35.220000 | 97.617928 |
| 11783 | Malaysia | MYS | 2004 | 34.306000 | 97.813591 |
| 12047 | Malaysia | MYS | 2005 | 33.406000 | 98.024010 |
| 12311 | Malaysia | MYS | 2006 | 32.517000 | 98.241669 |
| 12575 | Malaysia | MYS | 2007 | 31.640000 | 98.475800 |
| 12839 | Malaysia | MYS | 2008 | 30.775000 | 98.729248 |
| 13103 | Malaysia | MYS | 2009 | 29.925000 | 99.300000 |
| 13367 | Malaysia | MYS | 2010 | 29.088000 | 99.289230 |
| 13631 | Malaysia | MYS | 2011 | 28.265000 | 99.567345 |
| 13895 | Malaysia | MYS | 2012 | 27.474000 | 99.800000 |
| 14159 | Malaysia | MYS | 2013 | 26.716000 | 99.929138 |
| 14423 | Malaysia | MYS | 2014 | 25.990000 | 99.985123 |
| 14687 | Malaysia | MYS | 2015 | 25.295000 | 99.998589 |
| 14951 | Malaysia | MYS | 2016 | 24.630000 | 100.000000 |
| 15215 | Malaysia | MYS | 2017 | 23.994000 | NaN |
| 150 | Maldives | MDV | 1960 | 88.827000 | NaN |
| 414 | Maldives | MDV | 1961 | 88.770000 | NaN |
| 678 | Maldives | MDV | 1962 | 88.712000 | NaN |
| 942 | Maldives | MDV | 1963 | 88.655000 | NaN |
| 1206 | Maldives | MDV | 1964 | 88.596000 | NaN |
| 1470 | Maldives | MDV | 1965 | 88.542000 | NaN |
| 1734 | Maldives | MDV | 1966 | 88.607000 | NaN |
| 1998 | Maldives | MDV | 1967 | 88.664000 | NaN |
| 2262 | Maldives | MDV | 1968 | 88.484000 | NaN |
| 2526 | Maldives | MDV | 1969 | 88.302000 | NaN |
| 2790 | Maldives | MDV | 1970 | 88.107000 | NaN |
| 3054 | Maldives | MDV | 1971 | 87.158000 | NaN |
| 3318 | Maldives | MDV | 1972 | 86.142000 | NaN |
| 3582 | Maldives | MDV | 1973 | 85.064000 | NaN |
| 3846 | Maldives | MDV | 1974 | 83.915000 | NaN |
| 4110 | Maldives | MDV | 1975 | 82.696000 | NaN |
| 4374 | Maldives | MDV | 1976 | 81.404000 | NaN |
| 4638 | Maldives | MDV | 1977 | 80.042000 | NaN |
| 4902 | Maldives | MDV | 1978 | 79.022000 | NaN |
| 5166 | Maldives | MDV | 1979 | 78.393000 | NaN |
| 5430 | Maldives | MDV | 1980 | 77.750000 | NaN |
| 5694 | Maldives | MDV | 1981 | 77.095000 | NaN |
| 5958 | Maldives | MDV | 1982 | 76.426000 | NaN |
| 6222 | Maldives | MDV | 1983 | 75.743000 | NaN |
| 6486 | Maldives | MDV | 1984 | 75.046000 | NaN |
| 6750 | Maldives | MDV | 1985 | 74.509000 | NaN |
| 7014 | Maldives | MDV | 1986 | 74.430000 | NaN |
| 7278 | Maldives | MDV | 1987 | 74.352000 | NaN |
| 7542 | Maldives | MDV | 1988 | 74.273000 | NaN |
| 7806 | Maldives | MDV | 1989 | 74.194000 | NaN |
| 8070 | Maldives | MDV | 1990 | 74.160000 | 73.088142 |
| 8334 | Maldives | MDV | 1991 | 74.224000 | 74.365364 |
| 8598 | Maldives | MDV | 1992 | 74.287000 | 75.642075 |
| 8862 | Maldives | MDV | 1993 | 74.351000 | 76.915726 |
| 9126 | Maldives | MDV | 1994 | 74.414000 | 78.183266 |
| 9390 | Maldives | MDV | 1995 | 74.362000 | 79.441620 |
| 9654 | Maldives | MDV | 1996 | 73.992000 | 80.687744 |
| 9918 | Maldives | MDV | 1997 | 73.621000 | 81.918571 |
| 10182 | Maldives | MDV | 1998 | 73.245000 | 83.131042 |
| 10446 | Maldives | MDV | 1999 | 72.866000 | 84.322098 |
| 10710 | Maldives | MDV | 2000 | 72.294000 | 83.800000 |
| 10974 | Maldives | MDV | 2001 | 71.141000 | 86.639900 |
| 11238 | Maldives | MDV | 2002 | 69.958000 | 87.777252 |
| 11502 | Maldives | MDV | 2003 | 68.748000 | 88.908318 |
| 11766 | Maldives | MDV | 2004 | 67.510000 | 90.039162 |
| 12030 | Maldives | MDV | 2005 | 66.250000 | 91.175850 |
| 12294 | Maldives | MDV | 2006 | 64.966000 | 92.324440 |
| 12558 | Maldives | MDV | 2007 | 63.697000 | 93.491005 |
| 12822 | Maldives | MDV | 2008 | 62.447000 | 94.680084 |
| 13086 | Maldives | MDV | 2009 | 61.219000 | 99.900000 |
| 13350 | Maldives | MDV | 2010 | 60.016000 | 97.118324 |
| 13614 | Maldives | MDV | 2011 | 58.841000 | 98.254303 |
| 13878 | Maldives | MDV | 2012 | 57.697000 | 99.161804 |
| 14142 | Maldives | MDV | 2013 | 56.584000 | 99.711517 |
| 14406 | Maldives | MDV | 2014 | 55.506000 | 100.000000 |
| 14670 | Maldives | MDV | 2015 | 54.464000 | 99.994011 |
| 14934 | Maldives | MDV | 2016 | 53.460000 | 100.000000 |
| 15198 | Maldives | MDV | 2017 | 52.495000 | NaN |
| 156 | Mali | MLI | 1960 | 88.934000 | NaN |
| 420 | Mali | MLI | 1961 | 88.639000 | NaN |
| 684 | Mali | MLI | 1962 | 88.338000 | NaN |
| 948 | Mali | MLI | 1963 | 88.030000 | NaN |
| 1212 | Mali | MLI | 1964 | 87.714000 | NaN |
| 1476 | Mali | MLI | 1965 | 87.392000 | NaN |
| 1740 | Mali | MLI | 1966 | 87.062000 | NaN |
| 2004 | Mali | MLI | 1967 | 86.726000 | NaN |
| 2268 | Mali | MLI | 1968 | 86.381000 | NaN |
| 2532 | Mali | MLI | 1969 | 86.029000 | NaN |
| 2796 | Mali | MLI | 1970 | 85.670000 | NaN |
| 3060 | Mali | MLI | 1971 | 85.303000 | NaN |
| 3324 | Mali | MLI | 1972 | 84.928000 | NaN |
| 3588 | Mali | MLI | 1973 | 84.546000 | NaN |
| 3852 | Mali | MLI | 1974 | 84.155000 | NaN |
| 4116 | Mali | MLI | 1975 | 83.756000 | NaN |
| 4380 | Mali | MLI | 1976 | 83.349000 | NaN |
| 4644 | Mali | MLI | 1977 | 82.917000 | NaN |
| 4908 | Mali | MLI | 1978 | 82.460000 | NaN |
| 5172 | Mali | MLI | 1979 | 81.993000 | NaN |
| 5436 | Mali | MLI | 1980 | 81.516000 | NaN |
| 5700 | Mali | MLI | 1981 | 81.030000 | NaN |
| 5964 | Mali | MLI | 1982 | 80.534000 | NaN |
| 6228 | Mali | MLI | 1983 | 80.028000 | NaN |
| 6492 | Mali | MLI | 1984 | 79.512000 | NaN |
| 6756 | Mali | MLI | 1985 | 78.987000 | NaN |
| 7020 | Mali | MLI | 1986 | 78.452000 | NaN |
| 7284 | Mali | MLI | 1987 | 77.931000 | NaN |
| 7548 | Mali | MLI | 1988 | 77.518000 | NaN |
| 7812 | Mali | MLI | 1989 | 77.101000 | NaN |
| 8076 | Mali | MLI | 1990 | 76.678000 | 0.010000 |
| 8340 | Mali | MLI | 1991 | 76.249000 | 0.023680 |
| 8604 | Mali | MLI | 1992 | 75.814000 | 0.130868 |
| 8868 | Mali | MLI | 1993 | 75.376000 | 0.511635 |
| 9132 | Mali | MLI | 1994 | 74.931000 | 0.885508 |
| 9396 | Mali | MLI | 1995 | 74.481000 | 2.492474 |
| 9660 | Mali | MLI | 1996 | 74.025000 | 6.200000 |
| 9924 | Mali | MLI | 1997 | 73.566000 | 5.666637 |
| 10188 | Mali | MLI | 1998 | 73.052000 | 7.227716 |
| 10452 | Mali | MLI | 1999 | 72.354000 | 8.767382 |
| 10716 | Mali | MLI | 2000 | 71.644000 | 10.284095 |
| 10980 | Mali | MLI | 2001 | 70.925000 | 10.800000 |
| 11244 | Mali | MLI | 2002 | 70.194000 | 13.268354 |
| 11508 | Mali | MLI | 2003 | 69.453000 | 14.748028 |
| 11772 | Mali | MLI | 2004 | 68.700000 | 16.227480 |
| 12036 | Mali | MLI | 2005 | 67.940000 | 17.712774 |
| 12300 | Mali | MLI | 2006 | 67.168000 | 16.600000 |
| 12564 | Mali | MLI | 2007 | 66.388000 | 20.725142 |
| 12828 | Mali | MLI | 2008 | 65.597000 | 22.262831 |
| 13092 | Mali | MLI | 2009 | 64.800000 | 24.030896 |
| 13356 | Mali | MLI | 2010 | 64.004000 | 25.398287 |
| 13620 | Mali | MLI | 2011 | 63.211000 | 26.990046 |
| 13884 | Mali | MLI | 2012 | 62.421000 | 25.600000 |
| 14148 | Mali | MLI | 2013 | 61.637000 | 30.206608 |
| 14412 | Mali | MLI | 2014 | 60.857000 | 31.825401 |
| 14676 | Mali | MLI | 2015 | 60.084000 | 37.600000 |
| 14940 | Mali | MLI | 2016 | 59.317000 | 35.069500 |
| 15204 | Mali | MLI | 2017 | 58.559000 | NaN |
| 157 | Malta | MLT | 1960 | 9.871000 | NaN |
| 421 | Malta | MLT | 1961 | 9.931000 | NaN |
| 685 | Malta | MLT | 1962 | 9.992000 | NaN |
| 949 | Malta | MLT | 1963 | 10.052000 | NaN |
| 1213 | Malta | MLT | 1964 | 10.114000 | NaN |
| 1477 | Malta | MLT | 1965 | 10.175000 | NaN |
| 1741 | Malta | MLT | 1966 | 10.236000 | NaN |
| 2005 | Malta | MLT | 1967 | 10.298000 | NaN |
| 2269 | Malta | MLT | 1968 | 10.318000 | NaN |
| 2533 | Malta | MLT | 1969 | 10.310000 | NaN |
| 2797 | Malta | MLT | 1970 | 10.301000 | NaN |
| 3061 | Malta | MLT | 1971 | 10.292000 | NaN |
| 3325 | Malta | MLT | 1972 | 10.284000 | NaN |
| 3589 | Malta | MLT | 1973 | 10.275000 | NaN |
| 3853 | Malta | MLT | 1974 | 10.266000 | NaN |
| 4117 | Malta | MLT | 1975 | 10.258000 | NaN |
| 4381 | Malta | MLT | 1976 | 10.249000 | NaN |
| 4645 | Malta | MLT | 1977 | 10.240000 | NaN |
| 4909 | Malta | MLT | 1978 | 10.232000 | NaN |
| 5173 | Malta | MLT | 1979 | 10.223000 | NaN |
| 5437 | Malta | MLT | 1980 | 10.215000 | NaN |
| 5701 | Malta | MLT | 1981 | 10.206000 | NaN |
| 5965 | Malta | MLT | 1982 | 10.197000 | NaN |
| 6229 | Malta | MLT | 1983 | 10.189000 | NaN |
| 6493 | Malta | MLT | 1984 | 10.180000 | NaN |
| 6757 | Malta | MLT | 1985 | 10.172000 | NaN |
| 7021 | Malta | MLT | 1986 | 10.093000 | NaN |
| 7285 | Malta | MLT | 1987 | 9.972000 | NaN |
| 7549 | Malta | MLT | 1988 | 9.853000 | NaN |
| 7813 | Malta | MLT | 1989 | 9.735000 | NaN |
| 8077 | Malta | MLT | 1990 | 9.619000 | 100.000000 |
| 8341 | Malta | MLT | 1991 | 9.503000 | 100.000000 |
| 8605 | Malta | MLT | 1992 | 9.389000 | 100.000000 |
| 8869 | Malta | MLT | 1993 | 9.277000 | 100.000000 |
| 9133 | Malta | MLT | 1994 | 9.165000 | 100.000000 |
| 9397 | Malta | MLT | 1995 | 9.054000 | 100.000000 |
| 9661 | Malta | MLT | 1996 | 8.819000 | 100.000000 |
| 9925 | Malta | MLT | 1997 | 8.508000 | 100.000000 |
| 10189 | Malta | MLT | 1998 | 8.207000 | 100.000000 |
| 10453 | Malta | MLT | 1999 | 7.915000 | 100.000000 |
| 10717 | Malta | MLT | 2000 | 7.632000 | 100.000000 |
| 10981 | Malta | MLT | 2001 | 7.359000 | 100.000000 |
| 11245 | Malta | MLT | 2002 | 7.095000 | 100.000000 |
| 11509 | Malta | MLT | 2003 | 6.840000 | 100.000000 |
| 11773 | Malta | MLT | 2004 | 6.593000 | 100.000000 |
| 12037 | Malta | MLT | 2005 | 6.355000 | 100.000000 |
| 12301 | Malta | MLT | 2006 | 6.125000 | 100.000000 |
| 12565 | Malta | MLT | 2007 | 5.908000 | 100.000000 |
| 12829 | Malta | MLT | 2008 | 5.705000 | 100.000000 |
| 13093 | Malta | MLT | 2009 | 5.514000 | 100.000000 |
| 13357 | Malta | MLT | 2010 | 5.335000 | 100.000000 |
| 13621 | Malta | MLT | 2011 | 5.167000 | 100.000000 |
| 13885 | Malta | MLT | 2012 | 5.009000 | 100.000000 |
| 14149 | Malta | MLT | 2013 | 4.861000 | 100.000000 |
| 14413 | Malta | MLT | 2014 | 4.723000 | 100.000000 |
| 14677 | Malta | MLT | 2015 | 4.593000 | 100.000000 |
| 14941 | Malta | MLT | 2016 | 4.471000 | 100.000000 |
| 15205 | Malta | MLT | 2017 | 4.356000 | NaN |
| 153 | Marshall Islands | MHL | 1960 | 64.416000 | NaN |
| 417 | Marshall Islands | MHL | 1961 | 63.041000 | NaN |
| 681 | Marshall Islands | MHL | 1962 | 61.642000 | NaN |
| 945 | Marshall Islands | MHL | 1963 | 60.224000 | NaN |
| 1209 | Marshall Islands | MHL | 1964 | 58.786000 | NaN |
| 1473 | Marshall Islands | MHL | 1965 | 57.337000 | NaN |
| 1737 | Marshall Islands | MHL | 1966 | 55.874000 | NaN |
| 2001 | Marshall Islands | MHL | 1967 | 54.400000 | NaN |
| 2265 | Marshall Islands | MHL | 1968 | 51.771000 | NaN |
| 2529 | Marshall Islands | MHL | 1969 | 49.139000 | NaN |
| 2793 | Marshall Islands | MHL | 1970 | 46.508000 | NaN |
| 3057 | Marshall Islands | MHL | 1971 | 43.897000 | NaN |
| 3321 | Marshall Islands | MHL | 1972 | 41.315000 | NaN |
| 3585 | Marshall Islands | MHL | 1973 | 38.788000 | NaN |
| 3849 | Marshall Islands | MHL | 1974 | 38.907000 | NaN |
| 4113 | Marshall Islands | MHL | 1975 | 39.368000 | NaN |
| 4377 | Marshall Islands | MHL | 1976 | 39.832000 | NaN |
| 4641 | Marshall Islands | MHL | 1977 | 40.296000 | NaN |
| 4905 | Marshall Islands | MHL | 1978 | 40.763000 | NaN |
| 5169 | Marshall Islands | MHL | 1979 | 41.231000 | NaN |
| 5433 | Marshall Islands | MHL | 1980 | 41.702000 | NaN |
| 5697 | Marshall Islands | MHL | 1981 | 41.174000 | NaN |
| 5961 | Marshall Islands | MHL | 1982 | 40.386000 | NaN |
| 6225 | Marshall Islands | MHL | 1983 | 39.604000 | NaN |
| 6489 | Marshall Islands | MHL | 1984 | 38.825000 | NaN |
| 6753 | Marshall Islands | MHL | 1985 | 38.055000 | NaN |
| 7017 | Marshall Islands | MHL | 1986 | 37.289000 | NaN |
| 7281 | Marshall Islands | MHL | 1987 | 36.530000 | NaN |
| 7545 | Marshall Islands | MHL | 1988 | 35.776000 | NaN |
| 7809 | Marshall Islands | MHL | 1989 | 35.286000 | NaN |
| 8073 | Marshall Islands | MHL | 1990 | 34.946000 | 52.441910 |
| 8337 | Marshall Islands | MHL | 1991 | 34.608000 | 54.068607 |
| 8601 | Marshall Islands | MHL | 1992 | 34.272000 | 55.694798 |
| 8865 | Marshall Islands | MHL | 1993 | 33.937000 | 57.317928 |
| 9129 | Marshall Islands | MHL | 1994 | 33.604000 | 58.934940 |
| 9393 | Marshall Islands | MHL | 1995 | 33.273000 | 60.542774 |
| 9657 | Marshall Islands | MHL | 1996 | 32.942000 | 62.138371 |
| 9921 | Marshall Islands | MHL | 1997 | 32.615000 | 63.718674 |
| 10185 | Marshall Islands | MHL | 1998 | 32.288000 | 65.280624 |
| 10449 | Marshall Islands | MHL | 1999 | 31.963000 | 68.524236 |
| 10713 | Marshall Islands | MHL | 2000 | 31.642000 | 68.338737 |
| 10977 | Marshall Islands | MHL | 2001 | 31.326000 | 69.837914 |
| 11241 | Marshall Islands | MHL | 2002 | 31.013000 | 71.324738 |
| 11505 | Marshall Islands | MHL | 2003 | 30.704000 | 72.805275 |
| 11769 | Marshall Islands | MHL | 2004 | 30.400000 | 74.285599 |
| 12033 | Marshall Islands | MHL | 2005 | 30.099000 | 75.771759 |
| 12297 | Marshall Islands | MHL | 2006 | 29.803000 | 77.269829 |
| 12561 | Marshall Islands | MHL | 2007 | 29.510000 | 72.300000 |
| 12825 | Marshall Islands | MHL | 2008 | 29.222000 | 80.324425 |
| 13089 | Marshall Islands | MHL | 2009 | 28.938000 | 81.884010 |
| 13353 | Marshall Islands | MHL | 2010 | 28.657000 | 83.461617 |
| 13617 | Marshall Islands | MHL | 2011 | 28.381000 | 89.919607 |
| 13881 | Marshall Islands | MHL | 2012 | 28.109000 | 86.658890 |
| 14145 | Marshall Islands | MHL | 2013 | 27.841000 | 88.272545 |
| 14409 | Marshall Islands | MHL | 2014 | 27.576000 | 89.892212 |
| 14673 | Marshall Islands | MHL | 2015 | 27.316000 | 91.514877 |
| 14937 | Marshall Islands | MHL | 2016 | 27.060000 | 93.138046 |
| 15201 | Marshall Islands | MHL | 2017 | 26.808000 | NaN |
| 164 | Mauritania | MRT | 1960 | 93.120000 | NaN |
| 428 | Mauritania | MRT | 1961 | 92.565000 | NaN |
| 692 | Mauritania | MRT | 1962 | 91.969000 | NaN |
| 956 | Mauritania | MRT | 1963 | 91.329000 | NaN |
| 1220 | Mauritania | MRT | 1964 | 90.643000 | NaN |
| 1484 | Mauritania | MRT | 1965 | 89.910000 | NaN |
| 1748 | Mauritania | MRT | 1966 | 89.126000 | NaN |
| 2012 | Mauritania | MRT | 1967 | 88.288000 | NaN |
| 2276 | Mauritania | MRT | 1968 | 87.394000 | NaN |
| 2540 | Mauritania | MRT | 1969 | 86.446000 | NaN |
| 2804 | Mauritania | MRT | 1970 | 85.436000 | NaN |
| 3068 | Mauritania | MRT | 1971 | 84.364000 | NaN |
| 3332 | Mauritania | MRT | 1972 | 83.227000 | NaN |
| 3596 | Mauritania | MRT | 1973 | 82.029000 | NaN |
| 3860 | Mauritania | MRT | 1974 | 80.763000 | NaN |
| 4124 | Mauritania | MRT | 1975 | 79.431000 | NaN |
| 4388 | Mauritania | MRT | 1976 | 78.029000 | NaN |
| 4652 | Mauritania | MRT | 1977 | 76.673000 | NaN |
| 4916 | Mauritania | MRT | 1978 | 75.373000 | NaN |
| 5180 | Mauritania | MRT | 1979 | 74.025000 | NaN |
| 5444 | Mauritania | MRT | 1980 | 72.629000 | NaN |
| 5708 | Mauritania | MRT | 1981 | 71.190000 | NaN |
| 5972 | Mauritania | MRT | 1982 | 69.705000 | NaN |
| 6236 | Mauritania | MRT | 1983 | 68.178000 | NaN |
| 6500 | Mauritania | MRT | 1984 | 66.609000 | NaN |
| 6764 | Mauritania | MRT | 1985 | 65.006000 | NaN |
| 7028 | Mauritania | MRT | 1986 | 63.366000 | NaN |
| 7292 | Mauritania | MRT | 1987 | 61.695000 | NaN |
| 7556 | Mauritania | MRT | 1988 | 60.218000 | NaN |
| 7820 | Mauritania | MRT | 1989 | 59.449000 | NaN |
| 8084 | Mauritania | MRT | 1990 | 58.675000 | 3.886187 |
| 8348 | Mauritania | MRT | 1991 | 57.896000 | 5.400185 |
| 8612 | Mauritania | MRT | 1992 | 57.113000 | 6.913674 |
| 8876 | Mauritania | MRT | 1993 | 56.328000 | 8.424104 |
| 9140 | Mauritania | MRT | 1994 | 55.538000 | 9.928415 |
| 9404 | Mauritania | MRT | 1995 | 54.746000 | 11.423549 |
| 9668 | Mauritania | MRT | 1996 | 53.951000 | 12.906446 |
| 9932 | Mauritania | MRT | 1997 | 53.155000 | 14.374049 |
| 10196 | Mauritania | MRT | 1998 | 52.357000 | 15.823297 |
| 10460 | Mauritania | MRT | 1999 | 51.558000 | 17.251129 |
| 10724 | Mauritania | MRT | 2000 | 50.756000 | 18.656012 |
| 10988 | Mauritania | MRT | 2001 | 49.957000 | 22.200000 |
| 11252 | Mauritania | MRT | 2002 | 49.168000 | 21.416607 |
| 11516 | Mauritania | MRT | 2003 | 48.390000 | 22.784449 |
| 11780 | Mauritania | MRT | 2004 | 47.625000 | 24.152069 |
| 12044 | Mauritania | MRT | 2005 | 46.873000 | 18.200000 |
| 12308 | Mauritania | MRT | 2006 | 46.134000 | 26.910898 |
| 12572 | Mauritania | MRT | 2007 | 45.408000 | 33.040541 |
| 12836 | Mauritania | MRT | 2008 | 44.697000 | 30.000000 |
| 13100 | Mauritania | MRT | 2009 | 44.000000 | 31.186975 |
| 13364 | Mauritania | MRT | 2010 | 43.318000 | 32.651882 |
| 13628 | Mauritania | MRT | 2011 | 42.652000 | 34.131813 |
| 13892 | Mauritania | MRT | 2012 | 42.000000 | 35.623756 |
| 14156 | Mauritania | MRT | 2013 | 41.364000 | 37.124710 |
| 14420 | Mauritania | MRT | 2014 | 40.745000 | 38.800000 |
| 14684 | Mauritania | MRT | 2015 | 40.141000 | 39.500000 |
| 14948 | Mauritania | MRT | 2016 | 39.554000 | 41.652107 |
| 15212 | Mauritania | MRT | 2017 | 38.983000 | NaN |
| 165 | Mauritius | MUS | 1960 | 66.823000 | NaN |
| 429 | Mauritius | MUS | 1961 | 66.363000 | NaN |
| 693 | Mauritius | MUS | 1962 | 65.897000 | NaN |
| 957 | Mauritius | MUS | 1963 | 64.944000 | NaN |
| 1221 | Mauritius | MUS | 1964 | 63.977000 | NaN |
| 1485 | Mauritius | MUS | 1965 | 63.001000 | NaN |
| 1749 | Mauritius | MUS | 1966 | 62.013000 | NaN |
| 2013 | Mauritius | MUS | 1967 | 61.015000 | NaN |
| 2277 | Mauritius | MUS | 1968 | 60.006000 | NaN |
| 2541 | Mauritius | MUS | 1969 | 58.992000 | NaN |
| 2805 | Mauritius | MUS | 1970 | 57.968000 | NaN |
| 3069 | Mauritius | MUS | 1971 | 56.938000 | NaN |
| 3333 | Mauritius | MUS | 1972 | 55.900000 | NaN |
| 3597 | Mauritius | MUS | 1973 | 56.119000 | NaN |
| 3861 | Mauritius | MUS | 1974 | 56.338000 | NaN |
| 4125 | Mauritius | MUS | 1975 | 56.557000 | NaN |
| 4389 | Mauritius | MUS | 1976 | 56.776000 | NaN |
| 4653 | Mauritius | MUS | 1977 | 56.995000 | NaN |
| 4917 | Mauritius | MUS | 1978 | 57.213000 | NaN |
| 5181 | Mauritius | MUS | 1979 | 57.431000 | NaN |
| 5445 | Mauritius | MUS | 1980 | 57.649000 | NaN |
| 5709 | Mauritius | MUS | 1981 | 57.866000 | NaN |
| 5973 | Mauritius | MUS | 1982 | 58.083000 | NaN |
| 6237 | Mauritius | MUS | 1983 | 58.299000 | NaN |
| 6501 | Mauritius | MUS | 1984 | 57.988000 | NaN |
| 6765 | Mauritius | MUS | 1985 | 57.675000 | NaN |
| 7029 | Mauritius | MUS | 1986 | 57.361000 | NaN |
| 7293 | Mauritius | MUS | 1987 | 57.047000 | NaN |
| 7557 | Mauritius | MUS | 1988 | 56.731000 | NaN |
| 7821 | Mauritius | MUS | 1989 | 56.416000 | NaN |
| 8085 | Mauritius | MUS | 1990 | 56.100000 | 99.234421 |
| 8349 | Mauritius | MUS | 1991 | 56.223000 | 99.278473 |
| 8613 | Mauritius | MUS | 1992 | 56.347000 | 99.322014 |
| 8877 | Mauritius | MUS | 1993 | 56.470000 | 99.362503 |
| 9141 | Mauritius | MUS | 1994 | 56.593000 | 99.396866 |
| 9405 | Mauritius | MUS | 1995 | 56.716000 | 99.422058 |
| 9669 | Mauritius | MUS | 1996 | 56.839000 | 99.435013 |
| 9933 | Mauritius | MUS | 1997 | 56.962000 | 99.432671 |
| 10197 | Mauritius | MUS | 1998 | 57.084000 | 99.411972 |
| 10461 | Mauritius | MUS | 1999 | 57.207000 | 99.369865 |
| 10725 | Mauritius | MUS | 2000 | 57.330000 | 99.000000 |
| 10989 | Mauritius | MUS | 2001 | 57.540000 | 99.221329 |
| 11253 | Mauritius | MUS | 2002 | 57.750000 | 99.400000 |
| 11517 | Mauritius | MUS | 2003 | 57.960000 | 99.023399 |
| 11781 | Mauritius | MUS | 2004 | 58.170000 | 98.921082 |
| 12045 | Mauritius | MUS | 2005 | 58.379000 | 98.824600 |
| 12309 | Mauritius | MUS | 2006 | 58.588000 | 98.740021 |
| 12573 | Mauritius | MUS | 2007 | 58.797000 | 98.673409 |
| 12837 | Mauritius | MUS | 2008 | 59.005000 | 98.629326 |
| 13101 | Mauritius | MUS | 2009 | 59.213000 | 98.606262 |
| 13365 | Mauritius | MUS | 2010 | 59.421000 | 98.601227 |
| 13629 | Mauritius | MUS | 2011 | 59.628000 | 99.400000 |
| 13893 | Mauritius | MUS | 2012 | 59.836000 | 98.633209 |
| 14157 | Mauritius | MUS | 2013 | 60.021000 | 98.664223 |
| 14421 | Mauritius | MUS | 2014 | 60.186000 | 98.701241 |
| 14685 | Mauritius | MUS | 2015 | 60.329000 | 98.741257 |
| 14949 | Mauritius | MUS | 2016 | 60.452000 | 98.781784 |
| 15213 | Mauritius | MUS | 2017 | 60.553000 | NaN |
| 152 | Mexico | MEX | 1960 | 49.247000 | NaN |
| 416 | Mexico | MEX | 1961 | 48.410000 | NaN |
| 680 | Mexico | MEX | 1962 | 47.572000 | NaN |
| 944 | Mexico | MEX | 1963 | 46.735000 | NaN |
| 1208 | Mexico | MEX | 1964 | 45.900000 | NaN |
| 1472 | Mexico | MEX | 1965 | 45.069000 | NaN |
| 1736 | Mexico | MEX | 1966 | 44.239000 | NaN |
| 2000 | Mexico | MEX | 1967 | 43.413000 | NaN |
| 2264 | Mexico | MEX | 1968 | 42.589000 | NaN |
| 2528 | Mexico | MEX | 1969 | 41.771000 | NaN |
| 2792 | Mexico | MEX | 1970 | 40.979000 | NaN |
| 3056 | Mexico | MEX | 1971 | 40.221000 | NaN |
| 3320 | Mexico | MEX | 1972 | 39.468000 | NaN |
| 3584 | Mexico | MEX | 1973 | 38.721000 | NaN |
| 3848 | Mexico | MEX | 1974 | 37.978000 | NaN |
| 4112 | Mexico | MEX | 1975 | 37.241000 | NaN |
| 4376 | Mexico | MEX | 1976 | 36.509000 | NaN |
| 4640 | Mexico | MEX | 1977 | 35.785000 | NaN |
| 4904 | Mexico | MEX | 1978 | 35.066000 | NaN |
| 5168 | Mexico | MEX | 1979 | 34.354000 | NaN |
| 5432 | Mexico | MEX | 1980 | 33.661000 | NaN |
| 5696 | Mexico | MEX | 1981 | 33.130000 | NaN |
| 5960 | Mexico | MEX | 1982 | 32.604000 | NaN |
| 6224 | Mexico | MEX | 1983 | 32.081000 | NaN |
| 6488 | Mexico | MEX | 1984 | 31.563000 | NaN |
| 6752 | Mexico | MEX | 1985 | 31.050000 | NaN |
| 7016 | Mexico | MEX | 1986 | 30.541000 | NaN |
| 7280 | Mexico | MEX | 1987 | 30.037000 | NaN |
| 7544 | Mexico | MEX | 1988 | 29.538000 | NaN |
| 7808 | Mexico | MEX | 1989 | 29.044000 | NaN |
| 8072 | Mexico | MEX | 1990 | 28.581000 | 94.264572 |
| 8336 | Mexico | MEX | 1991 | 28.184000 | 94.575294 |
| 8600 | Mexico | MEX | 1992 | 27.791000 | 93.145981 |
| 8864 | Mexico | MEX | 1993 | 27.402000 | 95.192657 |
| 9128 | Mexico | MEX | 1994 | 27.015000 | 95.238294 |
| 9392 | Mexico | MEX | 1995 | 26.632000 | 95.785553 |
| 9656 | Mexico | MEX | 1996 | 26.330000 | 96.093624 |
| 9920 | Mexico | MEX | 1997 | 26.071000 | 96.329506 |
| 10184 | Mexico | MEX | 1998 | 25.814000 | 96.092755 |
| 10448 | Mexico | MEX | 1999 | 25.559000 | 96.800034 |
| 10712 | Mexico | MEX | 2000 | 25.278000 | 98.007132 |
| 10976 | Mexico | MEX | 2001 | 24.955000 | 97.184837 |
| 11240 | Mexico | MEX | 2002 | 24.635000 | 97.897085 |
| 11504 | Mexico | MEX | 2003 | 24.318000 | 97.520248 |
| 11768 | Mexico | MEX | 2004 | 24.003000 | 98.597701 |
| 12032 | Mexico | MEX | 2005 | 23.692000 | 98.932728 |
| 12296 | Mexico | MEX | 2006 | 23.383000 | 99.114160 |
| 12560 | Mexico | MEX | 2007 | 23.077000 | 98.252831 |
| 12824 | Mexico | MEX | 2008 | 22.773000 | 98.914037 |
| 13088 | Mexico | MEX | 2009 | 22.473000 | 98.716614 |
| 13352 | Mexico | MEX | 2010 | 22.175000 | 99.236696 |
| 13616 | Mexico | MEX | 2011 | 21.882000 | 99.248360 |
| 13880 | Mexico | MEX | 2012 | 21.593000 | 99.111637 |
| 14144 | Mexico | MEX | 2013 | 21.309000 | 99.748734 |
| 14408 | Mexico | MEX | 2014 | 21.029000 | 99.172928 |
| 14672 | Mexico | MEX | 2015 | 20.754000 | 99.000000 |
| 14936 | Mexico | MEX | 2016 | 20.483000 | 100.000000 |
| 15200 | Mexico | MEX | 2017 | 20.216000 | NaN |
| 77 | Micronesia, Fed. Sts. | FSM | 1960 | 77.688000 | NaN |
| 341 | Micronesia, Fed. Sts. | FSM | 1961 | 77.447000 | NaN |
| 605 | Micronesia, Fed. Sts. | FSM | 1962 | 77.203000 | NaN |
| 869 | Micronesia, Fed. Sts. | FSM | 1963 | 76.958000 | NaN |
| 1133 | Micronesia, Fed. Sts. | FSM | 1964 | 76.711000 | NaN |
| 1397 | Micronesia, Fed. Sts. | FSM | 1965 | 76.463000 | NaN |
| 1661 | Micronesia, Fed. Sts. | FSM | 1966 | 76.212000 | NaN |
| 1925 | Micronesia, Fed. Sts. | FSM | 1967 | 75.960000 | NaN |
| 2189 | Micronesia, Fed. Sts. | FSM | 1968 | 75.705000 | NaN |
| 2453 | Micronesia, Fed. Sts. | FSM | 1969 | 75.449000 | NaN |
| 2717 | Micronesia, Fed. Sts. | FSM | 1970 | 75.192000 | NaN |
| 2981 | Micronesia, Fed. Sts. | FSM | 1971 | 74.932000 | NaN |
| 3245 | Micronesia, Fed. Sts. | FSM | 1972 | 74.670000 | NaN |
| 3509 | Micronesia, Fed. Sts. | FSM | 1973 | 74.407000 | NaN |
| 3773 | Micronesia, Fed. Sts. | FSM | 1974 | 74.259000 | NaN |
| 4037 | Micronesia, Fed. Sts. | FSM | 1975 | 74.142000 | NaN |
| 4301 | Micronesia, Fed. Sts. | FSM | 1976 | 74.025000 | NaN |
| 4565 | Micronesia, Fed. Sts. | FSM | 1977 | 73.908000 | NaN |
| 4829 | Micronesia, Fed. Sts. | FSM | 1978 | 73.791000 | NaN |
| 5093 | Micronesia, Fed. Sts. | FSM | 1979 | 73.673000 | NaN |
| 5357 | Micronesia, Fed. Sts. | FSM | 1980 | 73.555000 | NaN |
| 5621 | Micronesia, Fed. Sts. | FSM | 1981 | 73.583000 | NaN |
| 5885 | Micronesia, Fed. Sts. | FSM | 1982 | 73.650000 | NaN |
| 6149 | Micronesia, Fed. Sts. | FSM | 1983 | 73.717000 | NaN |
| 6413 | Micronesia, Fed. Sts. | FSM | 1984 | 73.784000 | NaN |
| 6677 | Micronesia, Fed. Sts. | FSM | 1985 | 73.851000 | NaN |
| 6941 | Micronesia, Fed. Sts. | FSM | 1986 | 73.917000 | NaN |
| 7205 | Micronesia, Fed. Sts. | FSM | 1987 | 73.984000 | NaN |
| 7469 | Micronesia, Fed. Sts. | FSM | 1988 | 74.050000 | NaN |
| 7733 | Micronesia, Fed. Sts. | FSM | 1989 | 74.116000 | NaN |
| 7997 | Micronesia, Fed. Sts. | FSM | 1990 | 74.182000 | 28.036982 |
| 8261 | Micronesia, Fed. Sts. | FSM | 1991 | 74.248000 | 29.921452 |
| 8525 | Micronesia, Fed. Sts. | FSM | 1992 | 74.314000 | 31.805412 |
| 8789 | Micronesia, Fed. Sts. | FSM | 1993 | 74.380000 | 33.686314 |
| 9053 | Micronesia, Fed. Sts. | FSM | 1994 | 74.446000 | 35.561096 |
| 9317 | Micronesia, Fed. Sts. | FSM | 1995 | 74.932000 | 37.426704 |
| 9581 | Micronesia, Fed. Sts. | FSM | 1996 | 75.527000 | 39.280071 |
| 9845 | Micronesia, Fed. Sts. | FSM | 1997 | 76.111000 | 41.118145 |
| 10109 | Micronesia, Fed. Sts. | FSM | 1998 | 76.686000 | 42.937866 |
| 10373 | Micronesia, Fed. Sts. | FSM | 1999 | 77.251000 | 44.736172 |
| 10637 | Micronesia, Fed. Sts. | FSM | 2000 | 77.670000 | 46.000000 |
| 10901 | Micronesia, Fed. Sts. | FSM | 2001 | 77.670000 | 48.268467 |
| 11165 | Micronesia, Fed. Sts. | FSM | 2002 | 77.670000 | 50.013065 |
| 11429 | Micronesia, Fed. Sts. | FSM | 2003 | 77.670000 | 51.751377 |
| 11693 | Micronesia, Fed. Sts. | FSM | 2004 | 77.670000 | 53.489471 |
| 11957 | Micronesia, Fed. Sts. | FSM | 2005 | 77.670000 | 55.233406 |
| 12221 | Micronesia, Fed. Sts. | FSM | 2006 | 77.676000 | 56.989243 |
| 12485 | Micronesia, Fed. Sts. | FSM | 2007 | 77.683000 | 58.763054 |
| 12749 | Micronesia, Fed. Sts. | FSM | 2008 | 77.689000 | 60.559383 |
| 13013 | Micronesia, Fed. Sts. | FSM | 2009 | 77.695000 | 62.376740 |
| 13277 | Micronesia, Fed. Sts. | FSM | 2010 | 77.702000 | 64.531520 |
| 13541 | Micronesia, Fed. Sts. | FSM | 2011 | 77.697000 | 66.062515 |
| 13805 | Micronesia, Fed. Sts. | FSM | 2012 | 77.683000 | 67.924934 |
| 14069 | Micronesia, Fed. Sts. | FSM | 2013 | 77.658000 | 69.796356 |
| 14333 | Micronesia, Fed. Sts. | FSM | 2014 | 77.622000 | 71.673798 |
| 14597 | Micronesia, Fed. Sts. | FSM | 2015 | 77.576000 | 73.554230 |
| 14861 | Micronesia, Fed. Sts. | FSM | 2016 | 77.519000 | 75.435173 |
| 15125 | Micronesia, Fed. Sts. | FSM | 2017 | 77.452000 | NaN |
| 151 | Middle East & North Africa | MEA | 1960 | 65.038371 | NaN |
| 415 | Middle East & North Africa | MEA | 1961 | 64.282538 | NaN |
| 679 | Middle East & North Africa | MEA | 1962 | 63.517768 | NaN |
| 943 | Middle East & North Africa | MEA | 1963 | 62.743364 | NaN |
| 1207 | Middle East & North Africa | MEA | 1964 | 61.941107 | NaN |
| 1471 | Middle East & North Africa | MEA | 1965 | 61.107376 | NaN |
| 1735 | Middle East & North Africa | MEA | 1966 | 60.320158 | NaN |
| 1999 | Middle East & North Africa | MEA | 1967 | 59.590447 | NaN |
| 2263 | Middle East & North Africa | MEA | 1968 | 58.857076 | NaN |
| 2527 | Middle East & North Africa | MEA | 1969 | 58.112509 | NaN |
| 2791 | Middle East & North Africa | MEA | 1970 | 57.351580 | NaN |
| 3055 | Middle East & North Africa | MEA | 1971 | 56.606485 | NaN |
| 3319 | Middle East & North Africa | MEA | 1972 | 55.850126 | NaN |
| 3583 | Middle East & North Africa | MEA | 1973 | 55.080010 | NaN |
| 3847 | Middle East & North Africa | MEA | 1974 | 54.343299 | NaN |
| 4111 | Middle East & North Africa | MEA | 1975 | 53.633583 | NaN |
| 4375 | Middle East & North Africa | MEA | 1976 | 52.936679 | NaN |
| 4639 | Middle East & North Africa | MEA | 1977 | 52.294707 | NaN |
| 4903 | Middle East & North Africa | MEA | 1978 | 51.675788 | NaN |
| 5167 | Middle East & North Africa | MEA | 1979 | 51.062312 | NaN |
| 5431 | Middle East & North Africa | MEA | 1980 | 50.440905 | NaN |
| 5695 | Middle East & North Africa | MEA | 1981 | 49.820716 | NaN |
| 5959 | Middle East & North Africa | MEA | 1982 | 49.208207 | NaN |
| 6223 | Middle East & North Africa | MEA | 1983 | 48.602152 | NaN |
| 6487 | Middle East & North Africa | MEA | 1984 | 48.007465 | NaN |
| 6751 | Middle East & North Africa | MEA | 1985 | 47.430050 | NaN |
| 7015 | Middle East & North Africa | MEA | 1986 | 46.860283 | NaN |
| 7279 | Middle East & North Africa | MEA | 1987 | 46.383599 | NaN |
| 7543 | Middle East & North Africa | MEA | 1988 | 45.984870 | NaN |
| 7807 | Middle East & North Africa | MEA | 1989 | 45.622488 | NaN |
| 8071 | Middle East & North Africa | MEA | 1990 | 45.164212 | 86.499485 |
| 8335 | Middle East & North Africa | MEA | 1991 | 44.797605 | 87.028569 |
| 8599 | Middle East & North Africa | MEA | 1992 | 44.709079 | 87.051144 |
| 8863 | Middle East & North Africa | MEA | 1993 | 44.297593 | 87.927572 |
| 9127 | Middle East & North Africa | MEA | 1994 | 43.904952 | 88.293923 |
| 9391 | Middle East & North Africa | MEA | 1995 | 43.329282 | 88.586380 |
| 9655 | Middle East & North Africa | MEA | 1996 | 43.001357 | 89.464389 |
| 9919 | Middle East & North Africa | MEA | 1997 | 42.655266 | 89.798363 |
| 10183 | Middle East & North Africa | MEA | 1998 | 42.284566 | 90.508796 |
| 10447 | Middle East & North Africa | MEA | 1999 | 41.903253 | 90.997762 |
| 10711 | Middle East & North Africa | MEA | 2000 | 41.521589 | 91.614859 |
| 10975 | Middle East & North Africa | MEA | 2001 | 41.145436 | 91.959574 |
| 11239 | Middle East & North Africa | MEA | 2002 | 40.772060 | 92.173547 |
| 11503 | Middle East & North Africa | MEA | 2003 | 40.397657 | 92.998255 |
| 11767 | Middle East & North Africa | MEA | 2004 | 40.014753 | 93.343088 |
| 12031 | Middle East & North Africa | MEA | 2005 | 39.611581 | 94.279071 |
| 12295 | Middle East & North Africa | MEA | 2006 | 39.195750 | 96.024471 |
| 12559 | Middle East & North Africa | MEA | 2007 | 38.792072 | 94.896184 |
| 12823 | Middle East & North Africa | MEA | 2008 | 38.394986 | 95.488393 |
| 13087 | Middle East & North Africa | MEA | 2009 | 37.998565 | 95.718836 |
| 13351 | Middle East & North Africa | MEA | 2010 | 37.613490 | 95.982150 |
| 13615 | Middle East & North Africa | MEA | 2011 | 37.236794 | 96.512962 |
| 13879 | Middle East & North Africa | MEA | 2012 | 36.864204 | 96.919281 |
| 14143 | Middle East & North Africa | MEA | 2013 | 36.501569 | 97.883508 |
| 14407 | Middle East & North Africa | MEA | 2014 | 36.151228 | 96.885366 |
| 14671 | Middle East & North Africa | MEA | 2015 | 35.814382 | 97.878592 |
| 14935 | Middle East & North Africa | MEA | 2016 | 35.492124 | 98.031713 |
| 15199 | Middle East & North Africa | MEA | 2017 | 35.182671 | NaN |
| 236 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1960 | 66.117373 | NaN |
| 500 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1961 | 65.397398 | NaN |
| 764 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1962 | 64.677987 | NaN |
| 1028 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1963 | 63.954108 | NaN |
| 1292 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1964 | 63.219212 | NaN |
| 1556 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1965 | 62.447471 | NaN |
| 1820 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1966 | 61.720417 | NaN |
| 2084 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1967 | 61.074564 | NaN |
| 2348 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1968 | 60.406025 | NaN |
| 2612 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1969 | 59.733804 | NaN |
| 2876 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1970 | 59.056708 | NaN |
| 3140 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1971 | 58.399863 | NaN |
| 3404 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1972 | 57.729280 | NaN |
| 3668 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1973 | 57.059690 | NaN |
| 3932 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1974 | 56.419670 | NaN |
| 4196 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1975 | 55.790123 | NaN |
| 4460 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1976 | 55.176203 | NaN |
| 4724 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1977 | 54.623274 | NaN |
| 4988 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1978 | 54.095114 | NaN |
| 5252 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1979 | 53.576369 | NaN |
| 5516 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1980 | 53.046688 | NaN |
| 5780 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1981 | 52.512041 | NaN |
| 6044 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1982 | 51.982416 | NaN |
| 6308 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1983 | 51.456308 | NaN |
| 6572 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1984 | 50.930995 | NaN |
| 6836 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1985 | 50.425973 | NaN |
| 7100 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1986 | 49.923502 | NaN |
| 7364 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1987 | 49.486014 | NaN |
| 7628 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1988 | 49.129732 | NaN |
| 7892 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1989 | 48.803753 | NaN |
| 8156 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1990 | 48.480740 | 85.839718 |
| 8420 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1991 | 48.161614 | 86.385145 |
| 8684 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1992 | 47.783205 | 86.512253 |
| 8948 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1993 | 47.388068 | 87.418197 |
| 9212 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1994 | 46.995616 | 87.792385 |
| 9476 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1995 | 46.650864 | 88.016719 |
| 9740 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1996 | 46.316903 | 88.932487 |
| 10004 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1997 | 45.972055 | 89.281283 |
| 10268 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1998 | 45.599994 | 90.013265 |
| 10532 | Middle East & North Africa (IDA & IBRD countries) | TMN | 1999 | 45.220830 | 90.519327 |
| 10796 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2000 | 44.845146 | 91.153591 |
| 11060 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2001 | 44.475137 | 91.499243 |
| 11324 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2002 | 44.108549 | 91.719738 |
| 11588 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2003 | 43.746661 | 92.586790 |
| 11852 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2004 | 43.390861 | 92.424149 |
| 12116 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2005 | 43.030324 | 93.473539 |
| 12380 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2006 | 42.671877 | 95.447799 |
| 12644 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2007 | 42.339447 | 94.095110 |
| 12908 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2008 | 42.018744 | 94.760384 |
| 13172 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2009 | 41.695639 | 95.008710 |
| 13436 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2010 | 41.367334 | 95.297786 |
| 13700 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2011 | 41.032754 | 95.910895 |
| 13964 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2012 | 40.688882 | 96.376501 |
| 14228 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2013 | 40.344480 | 97.506184 |
| 14492 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2014 | 40.005826 | 96.325711 |
| 14756 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2015 | 39.676603 | 97.493216 |
| 15020 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2016 | 39.357845 | 97.671447 |
| 15284 | Middle East & North Africa (IDA & IBRD countries) | TMN | 2017 | 39.047305 | NaN |
| 159 | Middle East & North Africa (excluding high inc... | MNA | 1960 | 66.117373 | NaN |
| 423 | Middle East & North Africa (excluding high inc... | MNA | 1961 | 65.397398 | NaN |
| 687 | Middle East & North Africa (excluding high inc... | MNA | 1962 | 64.677987 | NaN |
| 951 | Middle East & North Africa (excluding high inc... | MNA | 1963 | 63.954108 | NaN |
| 1215 | Middle East & North Africa (excluding high inc... | MNA | 1964 | 63.219212 | NaN |
| 1479 | Middle East & North Africa (excluding high inc... | MNA | 1965 | 62.447471 | NaN |
| 1743 | Middle East & North Africa (excluding high inc... | MNA | 1966 | 61.720417 | NaN |
| 2007 | Middle East & North Africa (excluding high inc... | MNA | 1967 | 61.074564 | NaN |
| 2271 | Middle East & North Africa (excluding high inc... | MNA | 1968 | 60.406025 | NaN |
| 2535 | Middle East & North Africa (excluding high inc... | MNA | 1969 | 59.733804 | NaN |
| 2799 | Middle East & North Africa (excluding high inc... | MNA | 1970 | 59.056708 | NaN |
| 3063 | Middle East & North Africa (excluding high inc... | MNA | 1971 | 58.399863 | NaN |
| 3327 | Middle East & North Africa (excluding high inc... | MNA | 1972 | 57.729280 | NaN |
| 3591 | Middle East & North Africa (excluding high inc... | MNA | 1973 | 57.059690 | NaN |
| 3855 | Middle East & North Africa (excluding high inc... | MNA | 1974 | 56.419670 | NaN |
| 4119 | Middle East & North Africa (excluding high inc... | MNA | 1975 | 55.790123 | NaN |
| 4383 | Middle East & North Africa (excluding high inc... | MNA | 1976 | 55.176203 | NaN |
| 4647 | Middle East & North Africa (excluding high inc... | MNA | 1977 | 54.623274 | NaN |
| 4911 | Middle East & North Africa (excluding high inc... | MNA | 1978 | 54.095114 | NaN |
| 5175 | Middle East & North Africa (excluding high inc... | MNA | 1979 | 53.576369 | NaN |
| 5439 | Middle East & North Africa (excluding high inc... | MNA | 1980 | 53.046688 | NaN |
| 5703 | Middle East & North Africa (excluding high inc... | MNA | 1981 | 52.512041 | NaN |
| 5967 | Middle East & North Africa (excluding high inc... | MNA | 1982 | 51.982416 | NaN |
| 6231 | Middle East & North Africa (excluding high inc... | MNA | 1983 | 51.456308 | NaN |
| 6495 | Middle East & North Africa (excluding high inc... | MNA | 1984 | 50.930995 | NaN |
| 6759 | Middle East & North Africa (excluding high inc... | MNA | 1985 | 50.425973 | NaN |
| 7023 | Middle East & North Africa (excluding high inc... | MNA | 1986 | 49.923502 | NaN |
| 7287 | Middle East & North Africa (excluding high inc... | MNA | 1987 | 49.486014 | NaN |
| 7551 | Middle East & North Africa (excluding high inc... | MNA | 1988 | 49.129732 | NaN |
| 7815 | Middle East & North Africa (excluding high inc... | MNA | 1989 | 48.803753 | NaN |
| 8079 | Middle East & North Africa (excluding high inc... | MNA | 1990 | 48.340210 | 85.939664 |
| 8343 | Middle East & North Africa (excluding high inc... | MNA | 1991 | 48.016531 | 86.484015 |
| 8607 | Middle East & North Africa (excluding high inc... | MNA | 1992 | 47.633792 | 86.613882 |
| 8871 | Middle East & North Africa (excluding high inc... | MNA | 1993 | 47.234242 | 87.515537 |
| 9135 | Middle East & North Africa (excluding high inc... | MNA | 1994 | 46.837147 | 87.890237 |
| 9399 | Middle East & North Africa (excluding high inc... | MNA | 1995 | 46.487126 | 88.116465 |
| 9663 | Middle East & North Africa (excluding high inc... | MNA | 1996 | 46.147594 | 89.027199 |
| 9927 | Middle East & North Africa (excluding high inc... | MNA | 1997 | 45.797111 | 89.369155 |
| 10191 | Middle East & North Africa (excluding high inc... | MNA | 1998 | 45.424335 | 90.102697 |
| 10455 | Middle East & North Africa (excluding high inc... | MNA | 1999 | 45.045614 | 90.605244 |
| 10719 | Middle East & North Africa (excluding high inc... | MNA | 2000 | 44.670266 | 91.242481 |
| 10983 | Middle East & North Africa (excluding high inc... | MNA | 2001 | 44.300477 | 91.577764 |
| 11247 | Middle East & North Africa (excluding high inc... | MNA | 2002 | 43.934018 | 91.797140 |
| 11511 | Middle East & North Africa (excluding high inc... | MNA | 2003 | 43.572207 | 92.656186 |
| 11775 | Middle East & North Africa (excluding high inc... | MNA | 2004 | 43.216440 | 92.496304 |
| 12039 | Middle East & North Africa (excluding high inc... | MNA | 2005 | 42.856057 | 93.535492 |
| 12303 | Middle East & North Africa (excluding high inc... | MNA | 2006 | 42.497807 | 95.494211 |
| 12567 | Middle East & North Africa (excluding high inc... | MNA | 2007 | 42.165334 | 94.152829 |
| 12831 | Middle East & North Africa (excluding high inc... | MNA | 2008 | 41.843955 | 94.812505 |
| 13095 | Middle East & North Africa (excluding high inc... | MNA | 2009 | 41.520189 | 95.060026 |
| 13359 | Middle East & North Africa (excluding high inc... | MNA | 2010 | 41.191267 | 95.350052 |
| 13623 | Middle East & North Africa (excluding high inc... | MNA | 2011 | 40.855959 | 95.954427 |
| 13887 | Middle East & North Africa (excluding high inc... | MNA | 2012 | 40.511454 | 96.418615 |
| 14151 | Middle East & North Africa (excluding high inc... | MNA | 2013 | 40.166427 | 97.535503 |
| 14415 | Middle East & North Africa (excluding high inc... | MNA | 2014 | 39.827037 | 96.368223 |
| 14679 | Middle East & North Africa (excluding high inc... | MNA | 2015 | 39.496942 | 97.523384 |
| 14943 | Middle East & North Africa (excluding high inc... | MNA | 2016 | 39.177121 | 97.699807 |
| 15207 | Middle East & North Africa (excluding high inc... | MNA | 2017 | 38.865324 | NaN |
| 154 | Middle income | MIC | 1960 | 76.021801 | NaN |
| 418 | Middle income | MIC | 1961 | 75.499594 | NaN |
| 682 | Middle income | MIC | 1962 | 75.002646 | NaN |
| 946 | Middle income | MIC | 1963 | 74.540251 | NaN |
| 1210 | Middle income | MIC | 1964 | 74.069244 | NaN |
| 1474 | Middle income | MIC | 1965 | 73.837183 | NaN |
| 1738 | Middle income | MIC | 1966 | 73.616715 | NaN |
| 2002 | Middle income | MIC | 1967 | 73.381580 | NaN |
| 2266 | Middle income | MIC | 1968 | 73.147548 | NaN |
| 2530 | Middle income | MIC | 1969 | 72.918268 | NaN |
| 2794 | Middle income | MIC | 1970 | 72.689744 | NaN |
| 3058 | Middle income | MIC | 1971 | 72.440957 | NaN |
| 3322 | Middle income | MIC | 1972 | 72.158066 | NaN |
| 3586 | Middle income | MIC | 1973 | 71.835957 | NaN |
| 3850 | Middle income | MIC | 1974 | 71.473569 | NaN |
| 4114 | Middle income | MIC | 1975 | 71.169697 | NaN |
| 4378 | Middle income | MIC | 1976 | 70.807117 | NaN |
| 4642 | Middle income | MIC | 1977 | 70.440380 | NaN |
| 4906 | Middle income | MIC | 1978 | 69.970626 | NaN |
| 5170 | Middle income | MIC | 1979 | 69.406256 | NaN |
| 5434 | Middle income | MIC | 1980 | 68.833673 | NaN |
| 5698 | Middle income | MIC | 1981 | 68.253967 | NaN |
| 5962 | Middle income | MIC | 1982 | 67.711614 | NaN |
| 6226 | Middle income | MIC | 1983 | 67.211462 | NaN |
| 6490 | Middle income | MIC | 1984 | 66.696335 | NaN |
| 6754 | Middle income | MIC | 1985 | 66.179773 | NaN |
| 7018 | Middle income | MIC | 1986 | 65.666591 | NaN |
| 7282 | Middle income | MIC | 1987 | 65.159255 | NaN |
| 7546 | Middle income | MIC | 1988 | 64.653254 | NaN |
| 7810 | Middle income | MIC | 1989 | 64.158406 | NaN |
| 8074 | Middle income | MIC | 1990 | 63.662711 | 70.212735 |
| 8338 | Middle income | MIC | 1991 | 63.181440 | 70.552439 |
| 8602 | Middle income | MIC | 1992 | 62.701909 | 71.940903 |
| 8866 | Middle income | MIC | 1993 | 62.221164 | 72.920796 |
| 9130 | Middle income | MIC | 1994 | 61.743005 | 73.366322 |
| 9394 | Middle income | MIC | 1995 | 61.263387 | 74.266246 |
| 9658 | Middle income | MIC | 1996 | 60.781463 | 75.253052 |
| 9922 | Middle income | MIC | 1997 | 60.293380 | 76.267105 |
| 10186 | Middle income | MIC | 1998 | 59.797584 | 77.140565 |
| 10450 | Middle income | MIC | 1999 | 59.297339 | 78.634387 |
| 10714 | Middle income | MIC | 2000 | 58.787271 | 78.697285 |
| 10978 | Middle income | MIC | 2001 | 58.225613 | 78.286237 |
| 11242 | Middle income | MIC | 2002 | 57.609918 | 80.299644 |
| 11506 | Middle income | MIC | 2003 | 56.984561 | 81.093493 |
| 11770 | Middle income | MIC | 2004 | 56.352200 | 81.386491 |
| 12034 | Middle income | MIC | 2005 | 55.716125 | 82.352010 |
| 12298 | Middle income | MIC | 2006 | 55.087094 | 83.349399 |
| 12562 | Middle income | MIC | 2007 | 54.460940 | 83.964047 |
| 12826 | Middle income | MIC | 2008 | 53.830882 | 84.730320 |
| 13090 | Middle income | MIC | 2009 | 53.198818 | 85.967453 |
| 13354 | Middle income | MIC | 2010 | 52.564714 | 86.425556 |
| 13618 | Middle income | MIC | 2011 | 51.929400 | 85.047341 |
| 13882 | Middle income | MIC | 2012 | 51.298967 | 88.258583 |
| 14146 | Middle income | MIC | 2013 | 50.678114 | 88.447504 |
| 14410 | Middle income | MIC | 2014 | 50.068065 | 89.077876 |
| 14674 | Middle income | MIC | 2015 | 49.469159 | 90.881638 |
| 14938 | Middle income | MIC | 2016 | 48.882509 | 90.853193 |
| 15202 | Middle income | MIC | 2017 | 48.306869 | NaN |
| 148 | Moldova | MDA | 1960 | 76.576000 | NaN |
| 412 | Moldova | MDA | 1961 | 75.784000 | NaN |
| 676 | Moldova | MDA | 1962 | 74.973000 | NaN |
| 940 | Moldova | MDA | 1963 | 74.144000 | NaN |
| 1204 | Moldova | MDA | 1964 | 73.297000 | NaN |
| 1468 | Moldova | MDA | 1965 | 72.434000 | NaN |
| 1732 | Moldova | MDA | 1966 | 71.553000 | NaN |
| 1996 | Moldova | MDA | 1967 | 70.655000 | NaN |
| 2260 | Moldova | MDA | 1968 | 69.740000 | NaN |
| 2524 | Moldova | MDA | 1969 | 68.811000 | NaN |
| 2788 | Moldova | MDA | 1970 | 67.932000 | NaN |
| 3052 | Moldova | MDA | 1971 | 67.121000 | NaN |
| 3316 | Moldova | MDA | 1972 | 66.299000 | NaN |
| 3580 | Moldova | MDA | 1973 | 65.469000 | NaN |
| 3844 | Moldova | MDA | 1974 | 64.628000 | NaN |
| 4108 | Moldova | MDA | 1975 | 63.778000 | NaN |
| 4372 | Moldova | MDA | 1976 | 62.918000 | NaN |
| 4636 | Moldova | MDA | 1977 | 62.052000 | NaN |
| 4900 | Moldova | MDA | 1978 | 61.178000 | NaN |
| 5164 | Moldova | MDA | 1979 | 60.360000 | NaN |
| 5428 | Moldova | MDA | 1980 | 59.613000 | NaN |
| 5692 | Moldova | MDA | 1981 | 58.864000 | NaN |
| 5956 | Moldova | MDA | 1982 | 58.109000 | NaN |
| 6220 | Moldova | MDA | 1983 | 57.351000 | NaN |
| 6484 | Moldova | MDA | 1984 | 56.588000 | NaN |
| 6748 | Moldova | MDA | 1985 | 55.824000 | NaN |
| 7012 | Moldova | MDA | 1986 | 55.056000 | NaN |
| 7276 | Moldova | MDA | 1987 | 54.286000 | NaN |
| 7540 | Moldova | MDA | 1988 | 53.512000 | NaN |
| 7804 | Moldova | MDA | 1989 | 53.144000 | NaN |
| 8068 | Moldova | MDA | 1990 | 53.238000 | 94.919434 |
| 8332 | Moldova | MDA | 1991 | 53.331000 | 95.274399 |
| 8596 | Moldova | MDA | 1992 | 53.425000 | 95.628853 |
| 8860 | Moldova | MDA | 1993 | 53.519000 | 95.980247 |
| 9124 | Moldova | MDA | 1994 | 53.613000 | 96.325523 |
| 9388 | Moldova | MDA | 1995 | 53.706000 | 96.661629 |
| 9652 | Moldova | MDA | 1996 | 53.800000 | 96.985489 |
| 9916 | Moldova | MDA | 1997 | 53.899000 | 97.294052 |
| 10180 | Moldova | MDA | 1998 | 53.998000 | 97.584267 |
| 10444 | Moldova | MDA | 1999 | 54.098000 | 97.853065 |
| 10708 | Moldova | MDA | 2000 | 54.197000 | 98.085434 |
| 10972 | Moldova | MDA | 2001 | 54.296000 | 98.317108 |
| 11236 | Moldova | MDA | 2002 | 54.395000 | 99.000000 |
| 11500 | Moldova | MDA | 2003 | 54.494000 | 98.750076 |
| 11764 | Moldova | MDA | 2004 | 54.593000 | 99.100000 |
| 12028 | Moldova | MDA | 2005 | 54.692000 | 98.600000 |
| 12292 | Moldova | MDA | 2006 | 54.791000 | 99.409637 |
| 12556 | Moldova | MDA | 2007 | 54.890000 | 99.633293 |
| 12820 | Moldova | MDA | 2008 | 54.989000 | 99.819427 |
| 13084 | Moldova | MDA | 2009 | 55.064000 | 99.936302 |
| 13348 | Moldova | MDA | 2010 | 55.114000 | 99.986061 |
| 13612 | Moldova | MDA | 2011 | 55.141000 | 99.998604 |
| 13876 | Moldova | MDA | 2012 | 55.143000 | 100.000000 |
| 14140 | Moldova | MDA | 2013 | 55.121000 | 100.000000 |
| 14404 | Moldova | MDA | 2014 | 55.075000 | 100.000000 |
| 14668 | Moldova | MDA | 2015 | 55.005000 | 100.000000 |
| 14932 | Moldova | MDA | 2016 | 54.911000 | 100.000000 |
| 15196 | Moldova | MDA | 2017 | 54.792000 | NaN |
| 147 | Monaco | MCO | 1960 | 0.000000 | NaN |
| 411 | Monaco | MCO | 1961 | 0.000000 | NaN |
| 675 | Monaco | MCO | 1962 | 0.000000 | NaN |
| 939 | Monaco | MCO | 1963 | 0.000000 | NaN |
| 1203 | Monaco | MCO | 1964 | 0.000000 | NaN |
| 1467 | Monaco | MCO | 1965 | 0.000000 | NaN |
| 1731 | Monaco | MCO | 1966 | 0.000000 | NaN |
| 1995 | Monaco | MCO | 1967 | 0.000000 | NaN |
| 2259 | Monaco | MCO | 1968 | 0.000000 | NaN |
| 2523 | Monaco | MCO | 1969 | 0.000000 | NaN |
| 2787 | Monaco | MCO | 1970 | 0.000000 | NaN |
| 3051 | Monaco | MCO | 1971 | 0.000000 | NaN |
| 3315 | Monaco | MCO | 1972 | 0.000000 | NaN |
| 3579 | Monaco | MCO | 1973 | 0.000000 | NaN |
| 3843 | Monaco | MCO | 1974 | 0.000000 | NaN |
| 4107 | Monaco | MCO | 1975 | 0.000000 | NaN |
| 4371 | Monaco | MCO | 1976 | 0.000000 | NaN |
| 4635 | Monaco | MCO | 1977 | 0.000000 | NaN |
| 4899 | Monaco | MCO | 1978 | 0.000000 | NaN |
| 5163 | Monaco | MCO | 1979 | 0.000000 | NaN |
| 5427 | Monaco | MCO | 1980 | 0.000000 | NaN |
| 5691 | Monaco | MCO | 1981 | 0.000000 | NaN |
| 5955 | Monaco | MCO | 1982 | 0.000000 | NaN |
| 6219 | Monaco | MCO | 1983 | 0.000000 | NaN |
| 6483 | Monaco | MCO | 1984 | 0.000000 | NaN |
| 6747 | Monaco | MCO | 1985 | 0.000000 | NaN |
| 7011 | Monaco | MCO | 1986 | 0.000000 | NaN |
| 7275 | Monaco | MCO | 1987 | 0.000000 | NaN |
| 7539 | Monaco | MCO | 1988 | 0.000000 | NaN |
| 7803 | Monaco | MCO | 1989 | 0.000000 | NaN |
| 8067 | Monaco | MCO | 1990 | 0.000000 | 100.000000 |
| 8331 | Monaco | MCO | 1991 | 0.000000 | 100.000000 |
| 8595 | Monaco | MCO | 1992 | 0.000000 | 100.000000 |
| 8859 | Monaco | MCO | 1993 | 0.000000 | 100.000000 |
| 9123 | Monaco | MCO | 1994 | 0.000000 | 100.000000 |
| 9387 | Monaco | MCO | 1995 | 0.000000 | 100.000000 |
| 9651 | Monaco | MCO | 1996 | 0.000000 | 100.000000 |
| 9915 | Monaco | MCO | 1997 | 0.000000 | 100.000000 |
| 10179 | Monaco | MCO | 1998 | 0.000000 | 100.000000 |
| 10443 | Monaco | MCO | 1999 | 0.000000 | 100.000000 |
| 10707 | Monaco | MCO | 2000 | 0.000000 | 100.000000 |
| 10971 | Monaco | MCO | 2001 | 0.000000 | 100.000000 |
| 11235 | Monaco | MCO | 2002 | 0.000000 | 100.000000 |
| 11499 | Monaco | MCO | 2003 | 0.000000 | 100.000000 |
| 11763 | Monaco | MCO | 2004 | 0.000000 | 100.000000 |
| 12027 | Monaco | MCO | 2005 | 0.000000 | 100.000000 |
| 12291 | Monaco | MCO | 2006 | 0.000000 | 100.000000 |
| 12555 | Monaco | MCO | 2007 | 0.000000 | 100.000000 |
| 12819 | Monaco | MCO | 2008 | 0.000000 | 100.000000 |
| 13083 | Monaco | MCO | 2009 | 0.000000 | 100.000000 |
| 13347 | Monaco | MCO | 2010 | 0.000000 | 100.000000 |
| 13611 | Monaco | MCO | 2011 | 0.000000 | 100.000000 |
| 13875 | Monaco | MCO | 2012 | 0.000000 | 100.000000 |
| 14139 | Monaco | MCO | 2013 | 0.000000 | 100.000000 |
| 14403 | Monaco | MCO | 2014 | 0.000000 | 100.000000 |
| 14667 | Monaco | MCO | 2015 | 0.000000 | 100.000000 |
| 14931 | Monaco | MCO | 2016 | 0.000000 | 100.000000 |
| 15195 | Monaco | MCO | 2017 | 0.000000 | NaN |
| 161 | Mongolia | MNG | 1960 | 64.321000 | NaN |
| 425 | Mongolia | MNG | 1961 | 62.318000 | NaN |
| 689 | Mongolia | MNG | 1962 | 60.270000 | NaN |
| 953 | Mongolia | MNG | 1963 | 58.944000 | NaN |
| 1217 | Mongolia | MNG | 1964 | 58.415000 | NaN |
| 1481 | Mongolia | MNG | 1965 | 57.886000 | NaN |
| 1745 | Mongolia | MNG | 1966 | 57.353000 | NaN |
| 2009 | Mongolia | MNG | 1967 | 56.819000 | NaN |
| 2273 | Mongolia | MNG | 1968 | 56.283000 | NaN |
| 2537 | Mongolia | MNG | 1969 | 55.664000 | NaN |
| 2801 | Mongolia | MNG | 1970 | 54.948000 | NaN |
| 3065 | Mongolia | MNG | 1971 | 54.230000 | NaN |
| 3329 | Mongolia | MNG | 1972 | 53.509000 | NaN |
| 3593 | Mongolia | MNG | 1973 | 52.789000 | NaN |
| 3857 | Mongolia | MNG | 1974 | 52.067000 | NaN |
| 4121 | Mongolia | MNG | 1975 | 51.344000 | NaN |
| 4385 | Mongolia | MNG | 1976 | 50.619000 | NaN |
| 4649 | Mongolia | MNG | 1977 | 49.897000 | NaN |
| 4913 | Mongolia | MNG | 1978 | 49.173000 | NaN |
| 5177 | Mongolia | MNG | 1979 | 48.512000 | NaN |
| 5441 | Mongolia | MNG | 1980 | 47.917000 | NaN |
| 5705 | Mongolia | MNG | 1981 | 47.324000 | NaN |
| 5969 | Mongolia | MNG | 1982 | 46.732000 | NaN |
| 6233 | Mongolia | MNG | 1983 | 46.140000 | NaN |
| 6497 | Mongolia | MNG | 1984 | 45.548000 | NaN |
| 6761 | Mongolia | MNG | 1985 | 44.960000 | NaN |
| 7025 | Mongolia | MNG | 1986 | 44.372000 | NaN |
| 7289 | Mongolia | MNG | 1987 | 43.785000 | NaN |
| 7553 | Mongolia | MNG | 1988 | 43.200000 | NaN |
| 7817 | Mongolia | MNG | 1989 | 42.922000 | NaN |
| 8081 | Mongolia | MNG | 1990 | 42.967000 | 68.112839 |
| 8345 | Mongolia | MNG | 1991 | 43.013000 | 68.699776 |
| 8609 | Mongolia | MNG | 1992 | 43.058000 | 69.286194 |
| 8873 | Mongolia | MNG | 1993 | 43.104000 | 69.869560 |
| 9137 | Mongolia | MNG | 1994 | 43.149000 | 70.446800 |
| 9401 | Mongolia | MNG | 1995 | 43.195000 | 71.014870 |
| 9665 | Mongolia | MNG | 1996 | 43.240000 | 71.570702 |
| 9929 | Mongolia | MNG | 1997 | 43.286000 | 72.111237 |
| 10193 | Mongolia | MNG | 1998 | 43.331000 | 72.633415 |
| 10457 | Mongolia | MNG | 1999 | 43.377000 | 73.134186 |
| 10721 | Mongolia | MNG | 2000 | 42.867000 | 67.300000 |
| 10985 | Mongolia | MNG | 2001 | 41.778000 | 74.071404 |
| 11249 | Mongolia | MNG | 2002 | 40.696000 | 74.518463 |
| 11513 | Mongolia | MNG | 2003 | 39.622000 | 76.300000 |
| 11777 | Mongolia | MNG | 2004 | 38.557000 | 75.399788 |
| 12041 | Mongolia | MNG | 2005 | 37.506000 | 86.200000 |
| 12305 | Mongolia | MNG | 2006 | 36.465000 | 76.304489 |
| 12569 | Mongolia | MNG | 2007 | 35.436000 | 76.780762 |
| 12833 | Mongolia | MNG | 2008 | 34.419000 | 77.279549 |
| 13097 | Mongolia | MNG | 2009 | 33.420000 | 77.799370 |
| 13361 | Mongolia | MNG | 2010 | 32.433000 | 78.502080 |
| 13625 | Mongolia | MNG | 2011 | 31.462000 | 72.057075 |
| 13889 | Mongolia | MNG | 2012 | 30.528000 | 79.454948 |
| 14153 | Mongolia | MNG | 2013 | 29.634000 | 81.200000 |
| 14417 | Mongolia | MNG | 2014 | 28.778000 | 80.608734 |
| 14681 | Mongolia | MNG | 2015 | 27.960000 | 81.191628 |
| 14945 | Mongolia | MNG | 2016 | 27.177000 | 81.775032 |
| 15209 | Mongolia | MNG | 2017 | 26.430000 | NaN |
| 160 | Montenegro | MNE | 1960 | 81.212000 | NaN |
| 424 | Montenegro | MNE | 1961 | 80.498000 | NaN |
| 688 | Montenegro | MNE | 1962 | 79.763000 | NaN |
| 952 | Montenegro | MNE | 1963 | 79.007000 | NaN |
| 1216 | Montenegro | MNE | 1964 | 78.230000 | NaN |
| 1480 | Montenegro | MNE | 1965 | 77.434000 | NaN |
| 1744 | Montenegro | MNE | 1966 | 76.617000 | NaN |
| 2008 | Montenegro | MNE | 1967 | 75.780000 | NaN |
| 2272 | Montenegro | MNE | 1968 | 74.921000 | NaN |
| 2536 | Montenegro | MNE | 1969 | 74.045000 | NaN |
| 2800 | Montenegro | MNE | 1970 | 73.147000 | NaN |
| 3064 | Montenegro | MNE | 1971 | 72.231000 | NaN |
| 3328 | Montenegro | MNE | 1972 | 71.294000 | NaN |
| 3592 | Montenegro | MNE | 1973 | 70.341000 | NaN |
| 3856 | Montenegro | MNE | 1974 | 69.368000 | NaN |
| 4120 | Montenegro | MNE | 1975 | 68.378000 | NaN |
| 4384 | Montenegro | MNE | 1976 | 67.370000 | NaN |
| 4648 | Montenegro | MNE | 1977 | 66.348000 | NaN |
| 4912 | Montenegro | MNE | 1978 | 65.310000 | NaN |
| 5176 | Montenegro | MNE | 1979 | 64.256000 | NaN |
| 5440 | Montenegro | MNE | 1980 | 63.187000 | NaN |
| 5704 | Montenegro | MNE | 1981 | 62.108000 | NaN |
| 5968 | Montenegro | MNE | 1982 | 61.016000 | NaN |
| 6232 | Montenegro | MNE | 1983 | 59.912000 | NaN |
| 6496 | Montenegro | MNE | 1984 | 58.796000 | NaN |
| 6760 | Montenegro | MNE | 1985 | 57.675000 | NaN |
| 7024 | Montenegro | MNE | 1986 | 56.544000 | NaN |
| 7288 | Montenegro | MNE | 1987 | 55.406000 | NaN |
| 7552 | Montenegro | MNE | 1988 | 54.261000 | NaN |
| 7816 | Montenegro | MNE | 1989 | 53.114000 | NaN |
| 8080 | Montenegro | MNE | 1990 | 51.963000 | 98.408165 |
| 8344 | Montenegro | MNE | 1991 | 50.835000 | 98.548752 |
| 8608 | Montenegro | MNE | 1992 | 49.782000 | 98.687843 |
| 8872 | Montenegro | MNE | 1993 | 48.733000 | 98.823380 |
| 9136 | Montenegro | MNE | 1994 | 47.683000 | 98.952705 |
| 9400 | Montenegro | MNE | 1995 | 46.635000 | 99.072845 |
| 9664 | Montenegro | MNE | 1996 | 45.588000 | 99.180740 |
| 9928 | Montenegro | MNE | 1997 | 44.549000 | 99.273376 |
| 10192 | Montenegro | MNE | 1998 | 43.512000 | 99.347931 |
| 10456 | Montenegro | MNE | 1999 | 42.482000 | 99.402496 |
| 10720 | Montenegro | MNE | 2000 | 41.456000 | 99.436981 |
| 10984 | Montenegro | MNE | 2001 | 40.441000 | 99.454163 |
| 11248 | Montenegro | MNE | 2002 | 39.432000 | 99.460007 |
| 11512 | Montenegro | MNE | 2003 | 38.432000 | 99.461060 |
| 11776 | Montenegro | MNE | 2004 | 37.980000 | 99.461937 |
| 12040 | Montenegro | MNE | 2005 | 37.800000 | 99.830221 |
| 12304 | Montenegro | MNE | 2006 | 37.620000 | 99.483322 |
| 12568 | Montenegro | MNE | 2007 | 37.440000 | 99.516266 |
| 12832 | Montenegro | MNE | 2008 | 37.261000 | 99.568878 |
| 13096 | Montenegro | MNE | 2009 | 37.082000 | 99.641121 |
| 13360 | Montenegro | MNE | 2010 | 36.904000 | 99.729935 |
| 13624 | Montenegro | MNE | 2011 | 36.726000 | 99.825821 |
| 13888 | Montenegro | MNE | 2012 | 36.543000 | 99.910599 |
| 14152 | Montenegro | MNE | 2013 | 36.357000 | 99.700000 |
| 14416 | Montenegro | MNE | 2014 | 36.168000 | 99.992264 |
| 14680 | Montenegro | MNE | 2015 | 35.974000 | 99.999161 |
| 14944 | Montenegro | MNE | 2016 | 35.777000 | 100.000000 |
| 15208 | Montenegro | MNE | 2017 | 35.576000 | NaN |
| 146 | Morocco | MAR | 1960 | 70.643000 | NaN |
| 410 | Morocco | MAR | 1961 | 70.151000 | NaN |
| 674 | Morocco | MAR | 1962 | 69.655000 | NaN |
| 938 | Morocco | MAR | 1963 | 69.154000 | NaN |
| 1202 | Morocco | MAR | 1964 | 68.647000 | NaN |
| 1466 | Morocco | MAR | 1965 | 68.138000 | NaN |
| 1730 | Morocco | MAR | 1966 | 67.623000 | NaN |
| 1994 | Morocco | MAR | 1967 | 67.104000 | NaN |
| 2258 | Morocco | MAR | 1968 | 66.581000 | NaN |
| 2522 | Morocco | MAR | 1969 | 66.054000 | NaN |
| 2786 | Morocco | MAR | 1970 | 65.523000 | NaN |
| 3050 | Morocco | MAR | 1971 | 64.988000 | NaN |
| 3314 | Morocco | MAR | 1972 | 64.325000 | NaN |
| 3578 | Morocco | MAR | 1973 | 63.651000 | NaN |
| 3842 | Morocco | MAR | 1974 | 62.971000 | NaN |
| 4106 | Morocco | MAR | 1975 | 62.286000 | NaN |
| 4370 | Morocco | MAR | 1976 | 61.595000 | NaN |
| 4634 | Morocco | MAR | 1977 | 60.901000 | NaN |
| 4898 | Morocco | MAR | 1978 | 60.202000 | NaN |
| 5162 | Morocco | MAR | 1979 | 59.498000 | NaN |
| 5426 | Morocco | MAR | 1980 | 58.790000 | NaN |
| 5690 | Morocco | MAR | 1981 | 58.080000 | NaN |
| 5954 | Morocco | MAR | 1982 | 57.366000 | NaN |
| 6218 | Morocco | MAR | 1983 | 56.653000 | NaN |
| 6482 | Morocco | MAR | 1984 | 55.937000 | NaN |
| 6746 | Morocco | MAR | 1985 | 55.221000 | NaN |
| 7010 | Morocco | MAR | 1986 | 54.502000 | NaN |
| 7274 | Morocco | MAR | 1987 | 53.781000 | NaN |
| 7538 | Morocco | MAR | 1988 | 53.057000 | NaN |
| 7802 | Morocco | MAR | 1989 | 52.334000 | NaN |
| 8066 | Morocco | MAR | 1990 | 51.609000 | 48.116264 |
| 8330 | Morocco | MAR | 1991 | 50.883000 | 50.326748 |
| 8594 | Morocco | MAR | 1992 | 50.156000 | 49.200000 |
| 8858 | Morocco | MAR | 1993 | 49.431000 | 54.743645 |
| 9122 | Morocco | MAR | 1994 | 48.705000 | 56.944443 |
| 9386 | Morocco | MAR | 1995 | 48.308000 | 56.500000 |
| 9650 | Morocco | MAR | 1996 | 47.978000 | 61.315449 |
| 9914 | Morocco | MAR | 1997 | 47.650000 | 63.479542 |
| 10178 | Morocco | MAR | 1998 | 47.322000 | 65.625275 |
| 10442 | Morocco | MAR | 1999 | 46.993000 | 67.749596 |
| 10706 | Morocco | MAR | 2000 | 46.665000 | 69.850967 |
| 10970 | Morocco | MAR | 2001 | 46.338000 | 71.933922 |
| 11234 | Morocco | MAR | 2002 | 46.010000 | 74.004539 |
| 11498 | Morocco | MAR | 2003 | 45.683000 | 76.068863 |
| 11762 | Morocco | MAR | 2004 | 45.356000 | 78.200000 |
| 12026 | Morocco | MAR | 2005 | 44.874000 | 80.202927 |
| 12290 | Morocco | MAR | 2006 | 44.360000 | 96.500000 |
| 12554 | Morocco | MAR | 2007 | 43.847000 | 84.384605 |
| 12818 | Morocco | MAR | 2008 | 43.335000 | 86.506950 |
| 13082 | Morocco | MAR | 2009 | 42.825000 | 88.650322 |
| 13346 | Morocco | MAR | 2010 | 42.316000 | 90.811714 |
| 13610 | Morocco | MAR | 2011 | 41.809000 | 92.988129 |
| 13874 | Morocco | MAR | 2012 | 41.303000 | 95.176567 |
| 14138 | Morocco | MAR | 2013 | 40.800000 | 97.374008 |
| 14402 | Morocco | MAR | 2014 | 40.301000 | 91.600000 |
| 14666 | Morocco | MAR | 2015 | 39.805000 | 99.586014 |
| 14930 | Morocco | MAR | 2016 | 39.315000 | 100.000000 |
| 15194 | Morocco | MAR | 2017 | 38.828000 | NaN |
| 163 | Mozambique | MOZ | 1960 | 95.231000 | NaN |
| 427 | Mozambique | MOZ | 1961 | 95.051000 | NaN |
| 691 | Mozambique | MOZ | 1962 | 94.856000 | NaN |
| 955 | Mozambique | MOZ | 1963 | 94.655000 | NaN |
| 1219 | Mozambique | MOZ | 1964 | 94.445000 | NaN |
| 1483 | Mozambique | MOZ | 1965 | 94.229000 | NaN |
| 1747 | Mozambique | MOZ | 1966 | 94.004000 | NaN |
| 2011 | Mozambique | MOZ | 1967 | 93.771000 | NaN |
| 2275 | Mozambique | MOZ | 1968 | 93.529000 | NaN |
| 2539 | Mozambique | MOZ | 1969 | 93.280000 | NaN |
| 2803 | Mozambique | MOZ | 1970 | 93.021000 | NaN |
| 3067 | Mozambique | MOZ | 1971 | 92.639000 | NaN |
| 3331 | Mozambique | MOZ | 1972 | 92.136000 | NaN |
| 3595 | Mozambique | MOZ | 1973 | 91.603000 | NaN |
| 3859 | Mozambique | MOZ | 1974 | 91.037000 | NaN |
| 4123 | Mozambique | MOZ | 1975 | 90.437000 | NaN |
| 4387 | Mozambique | MOZ | 1976 | 89.800000 | NaN |
| 4651 | Mozambique | MOZ | 1977 | 89.128000 | NaN |
| 4915 | Mozambique | MOZ | 1978 | 88.416000 | NaN |
| 5179 | Mozambique | MOZ | 1979 | 87.664000 | NaN |
| 5443 | Mozambique | MOZ | 1980 | 86.869000 | NaN |
| 5707 | Mozambique | MOZ | 1981 | 85.949000 | NaN |
| 5971 | Mozambique | MOZ | 1982 | 84.965000 | NaN |
| 6235 | Mozambique | MOZ | 1983 | 83.926000 | NaN |
| 6499 | Mozambique | MOZ | 1984 | 82.828000 | NaN |
| 6763 | Mozambique | MOZ | 1985 | 81.674000 | NaN |
| 7027 | Mozambique | MOZ | 1986 | 80.459000 | NaN |
| 7291 | Mozambique | MOZ | 1987 | 79.185000 | NaN |
| 7555 | Mozambique | MOZ | 1988 | 77.848000 | NaN |
| 7819 | Mozambique | MOZ | 1989 | 76.455000 | NaN |
| 8083 | Mozambique | MOZ | 1990 | 75.000000 | 0.010000 |
| 8347 | Mozambique | MOZ | 1991 | 74.513000 | 0.010270 |
| 8611 | Mozambique | MOZ | 1992 | 74.020000 | 0.029886 |
| 8875 | Mozambique | MOZ | 1993 | 73.521000 | 0.159724 |
| 9139 | Mozambique | MOZ | 1994 | 73.016000 | 0.559485 |
| 9403 | Mozambique | MOZ | 1995 | 72.505000 | 1.179101 |
| 9667 | Mozambique | MOZ | 1996 | 71.987000 | 2.318698 |
| 9931 | Mozambique | MOZ | 1997 | 71.465000 | 6.600000 |
| 10195 | Mozambique | MOZ | 1998 | 71.258000 | 4.548946 |
| 10459 | Mozambique | MOZ | 1999 | 71.080000 | 5.633479 |
| 10723 | Mozambique | MOZ | 2000 | 70.902000 | 6.695059 |
| 10987 | Mozambique | MOZ | 2001 | 70.723000 | 5.700000 |
| 11251 | Mozambique | MOZ | 2002 | 70.543000 | 8.769053 |
| 11515 | Mozambique | MOZ | 2003 | 70.363000 | 8.100000 |
| 11779 | Mozambique | MOZ | 2004 | 70.182000 | 10.817912 |
| 12043 | Mozambique | MOZ | 2005 | 70.001000 | 11.848074 |
| 12307 | Mozambique | MOZ | 2006 | 69.818000 | 12.890141 |
| 12571 | Mozambique | MOZ | 2007 | 69.636000 | 13.950177 |
| 12835 | Mozambique | MOZ | 2008 | 69.452000 | 13.571224 |
| 13099 | Mozambique | MOZ | 2009 | 69.255000 | 15.000000 |
| 13363 | Mozambique | MOZ | 2010 | 69.045000 | 17.257923 |
| 13627 | Mozambique | MOZ | 2011 | 68.821000 | 20.200000 |
| 13891 | Mozambique | MOZ | 2012 | 68.583000 | 19.543192 |
| 14155 | Mozambique | MOZ | 2013 | 68.331000 | 20.700846 |
| 14419 | Mozambique | MOZ | 2014 | 68.066000 | 21.864508 |
| 14683 | Mozambique | MOZ | 2015 | 67.786000 | 24.000000 |
| 14947 | Mozambique | MOZ | 2016 | 67.492000 | 24.198339 |
| 15211 | Mozambique | MOZ | 2017 | 67.184000 | NaN |
| 158 | Myanmar | MMR | 1960 | 80.774000 | NaN |
| 422 | Myanmar | MMR | 1961 | 80.434000 | NaN |
| 686 | Myanmar | MMR | 1962 | 80.090000 | NaN |
| 950 | Myanmar | MMR | 1963 | 79.741000 | NaN |
| 1214 | Myanmar | MMR | 1964 | 79.387000 | NaN |
| 1478 | Myanmar | MMR | 1965 | 79.029000 | NaN |
| 1742 | Myanmar | MMR | 1966 | 78.666000 | NaN |
| 2006 | Myanmar | MMR | 1967 | 78.299000 | NaN |
| 2270 | Myanmar | MMR | 1968 | 77.927000 | NaN |
| 2534 | Myanmar | MMR | 1969 | 77.551000 | NaN |
| 2798 | Myanmar | MMR | 1970 | 77.170000 | NaN |
| 3062 | Myanmar | MMR | 1971 | 76.785000 | NaN |
| 3326 | Myanmar | MMR | 1972 | 76.394000 | NaN |
| 3590 | Myanmar | MMR | 1973 | 76.097000 | NaN |
| 3854 | Myanmar | MMR | 1974 | 76.087000 | NaN |
| 4118 | Myanmar | MMR | 1975 | 76.078000 | NaN |
| 4382 | Myanmar | MMR | 1976 | 76.067000 | NaN |
| 4646 | Myanmar | MMR | 1977 | 76.058000 | NaN |
| 4910 | Myanmar | MMR | 1978 | 76.048000 | NaN |
| 5174 | Myanmar | MMR | 1979 | 76.038000 | NaN |
| 5438 | Myanmar | MMR | 1980 | 76.027000 | NaN |
| 5702 | Myanmar | MMR | 1981 | 76.018000 | NaN |
| 5966 | Myanmar | MMR | 1982 | 76.007000 | NaN |
| 6230 | Myanmar | MMR | 1983 | 75.997000 | NaN |
| 6494 | Myanmar | MMR | 1984 | 75.970000 | NaN |
| 6758 | Myanmar | MMR | 1985 | 75.924000 | NaN |
| 7022 | Myanmar | MMR | 1986 | 75.861000 | NaN |
| 7286 | Myanmar | MMR | 1987 | 75.781000 | NaN |
| 7550 | Myanmar | MMR | 1988 | 75.682000 | NaN |
| 7814 | Myanmar | MMR | 1989 | 75.565000 | NaN |
| 8078 | Myanmar | MMR | 1990 | 75.430000 | 35.652031 |
| 8342 | Myanmar | MMR | 1991 | 75.276000 | 36.534931 |
| 8606 | Myanmar | MMR | 1992 | 75.104000 | 37.417320 |
| 8870 | Myanmar | MMR | 1993 | 74.914000 | 38.296650 |
| 9134 | Myanmar | MMR | 1994 | 74.704000 | 39.169865 |
| 9398 | Myanmar | MMR | 1995 | 74.475000 | 40.033897 |
| 9662 | Myanmar | MMR | 1996 | 74.227000 | 40.885696 |
| 9926 | Myanmar | MMR | 1997 | 73.958000 | 41.722202 |
| 10190 | Myanmar | MMR | 1998 | 73.670000 | 42.540348 |
| 10454 | Myanmar | MMR | 1999 | 73.361000 | 43.337086 |
| 10718 | Myanmar | MMR | 2000 | 73.032000 | 44.110867 |
| 10982 | Myanmar | MMR | 2001 | 72.682000 | 44.866241 |
| 11246 | Myanmar | MMR | 2002 | 72.311000 | 47.000000 |
| 11510 | Myanmar | MMR | 2003 | 71.919000 | 46.346008 |
| 11774 | Myanmar | MMR | 2004 | 71.505000 | 47.082531 |
| 12038 | Myanmar | MMR | 2005 | 71.070000 | 47.824894 |
| 12302 | Myanmar | MMR | 2006 | 70.614000 | 48.579163 |
| 12566 | Myanmar | MMR | 2007 | 70.135000 | 49.351398 |
| 12830 | Myanmar | MMR | 2008 | 69.637000 | 50.146156 |
| 13094 | Myanmar | MMR | 2009 | 69.119000 | 50.961945 |
| 13358 | Myanmar | MMR | 2010 | 68.595000 | 48.800000 |
| 13622 | Myanmar | MMR | 2011 | 68.065000 | 52.644581 |
| 13886 | Myanmar | MMR | 2012 | 67.531000 | 53.505424 |
| 14150 | Myanmar | MMR | 2013 | 66.993000 | 54.375282 |
| 14414 | Myanmar | MMR | 2014 | 66.449000 | 52.000000 |
| 14678 | Myanmar | MMR | 2015 | 65.902000 | 60.500000 |
| 14942 | Myanmar | MMR | 2016 | 65.350000 | 57.009384 |
| 15206 | Myanmar | MMR | 2017 | 64.794000 | NaN |
| 169 | Namibia | NAM | 1960 | 82.091000 | NaN |
| 433 | Namibia | NAM | 1961 | 81.666000 | NaN |
| 697 | Namibia | NAM | 1962 | 81.252000 | NaN |
| 961 | Namibia | NAM | 1963 | 80.830000 | NaN |
| 1225 | Namibia | NAM | 1964 | 80.400000 | NaN |
| 1489 | Namibia | NAM | 1965 | 79.965000 | NaN |
| 1753 | Namibia | NAM | 1966 | 79.522000 | NaN |
| 2017 | Namibia | NAM | 1967 | 79.071000 | NaN |
| 2281 | Namibia | NAM | 1968 | 78.613000 | NaN |
| 2545 | Namibia | NAM | 1969 | 78.148000 | NaN |
| 2809 | Namibia | NAM | 1970 | 77.708000 | NaN |
| 3073 | Namibia | NAM | 1971 | 77.441000 | NaN |
| 3337 | Namibia | NAM | 1972 | 77.171000 | NaN |
| 3601 | Namibia | NAM | 1973 | 76.900000 | NaN |
| 3865 | Namibia | NAM | 1974 | 76.626000 | NaN |
| 4129 | Namibia | NAM | 1975 | 76.349000 | NaN |
| 4393 | Namibia | NAM | 1976 | 76.071000 | NaN |
| 4657 | Namibia | NAM | 1977 | 75.790000 | NaN |
| 4921 | Namibia | NAM | 1978 | 75.507000 | NaN |
| 5185 | Namibia | NAM | 1979 | 75.222000 | NaN |
| 5449 | Namibia | NAM | 1980 | 74.934000 | NaN |
| 5713 | Namibia | NAM | 1981 | 74.645000 | NaN |
| 5977 | Namibia | NAM | 1982 | 74.389000 | NaN |
| 6241 | Namibia | NAM | 1983 | 74.139000 | NaN |
| 6505 | Namibia | NAM | 1984 | 73.887000 | NaN |
| 6769 | Namibia | NAM | 1985 | 73.634000 | NaN |
| 7033 | Namibia | NAM | 1986 | 73.379000 | NaN |
| 7297 | Namibia | NAM | 1987 | 73.123000 | NaN |
| 7561 | Namibia | NAM | 1988 | 72.864000 | NaN |
| 7825 | Namibia | NAM | 1989 | 72.605000 | NaN |
| 8089 | Namibia | NAM | 1990 | 72.344000 | 25.234791 |
| 8353 | Namibia | NAM | 1991 | 72.081000 | 26.317316 |
| 8617 | Namibia | NAM | 1992 | 71.664000 | 26.400000 |
| 8881 | Namibia | NAM | 1993 | 71.177000 | 28.478289 |
| 9145 | Namibia | NAM | 1994 | 70.684000 | 29.551128 |
| 9409 | Namibia | NAM | 1995 | 70.187000 | 30.614790 |
| 9673 | Namibia | NAM | 1996 | 69.684000 | 31.666214 |
| 9937 | Namibia | NAM | 1997 | 69.177000 | 32.702343 |
| 10201 | Namibia | NAM | 1998 | 68.665000 | 33.720119 |
| 10465 | Namibia | NAM | 1999 | 68.149000 | 34.716480 |
| 10729 | Namibia | NAM | 2000 | 67.627000 | 36.500000 |
| 10993 | Namibia | NAM | 2001 | 67.102000 | 36.644886 |
| 11257 | Namibia | NAM | 2002 | 66.234000 | 37.587540 |
| 11521 | Namibia | NAM | 2003 | 65.291000 | 38.523907 |
| 11785 | Namibia | NAM | 2004 | 64.334000 | 39.460056 |
| 12049 | Namibia | NAM | 2005 | 63.368000 | 40.402046 |
| 12313 | Namibia | NAM | 2006 | 62.390000 | 41.355942 |
| 12577 | Namibia | NAM | 2007 | 61.402000 | 43.700000 |
| 12841 | Namibia | NAM | 2008 | 60.403000 | 43.322189 |
| 13105 | Namibia | NAM | 2009 | 59.399000 | 44.337601 |
| 13369 | Namibia | NAM | 2010 | 58.384000 | 45.371037 |
| 13633 | Namibia | NAM | 2011 | 57.363000 | 46.419491 |
| 13897 | Namibia | NAM | 2012 | 56.334000 | 47.479961 |
| 14161 | Namibia | NAM | 2013 | 55.321000 | 47.400000 |
| 14425 | Namibia | NAM | 2014 | 54.322000 | 49.624935 |
| 14689 | Namibia | NAM | 2015 | 53.340000 | 50.703430 |
| 14953 | Namibia | NAM | 2016 | 52.375000 | 51.782425 |
| 15217 | Namibia | NAM | 2017 | 51.429000 | NaN |
| 177 | Nauru | NRU | 1960 | 0.000000 | NaN |
| 441 | Nauru | NRU | 1961 | 0.000000 | NaN |
| 705 | Nauru | NRU | 1962 | 0.000000 | NaN |
| 969 | Nauru | NRU | 1963 | 0.000000 | NaN |
| 1233 | Nauru | NRU | 1964 | 0.000000 | NaN |
| 1497 | Nauru | NRU | 1965 | 0.000000 | NaN |
| 1761 | Nauru | NRU | 1966 | 0.000000 | NaN |
| 2025 | Nauru | NRU | 1967 | 0.000000 | NaN |
| 2289 | Nauru | NRU | 1968 | 0.000000 | NaN |
| 2553 | Nauru | NRU | 1969 | 0.000000 | NaN |
| 2817 | Nauru | NRU | 1970 | 0.000000 | NaN |
| 3081 | Nauru | NRU | 1971 | 0.000000 | NaN |
| 3345 | Nauru | NRU | 1972 | 0.000000 | NaN |
| 3609 | Nauru | NRU | 1973 | 0.000000 | NaN |
| 3873 | Nauru | NRU | 1974 | 0.000000 | NaN |
| 4137 | Nauru | NRU | 1975 | 0.000000 | NaN |
| 4401 | Nauru | NRU | 1976 | 0.000000 | NaN |
| 4665 | Nauru | NRU | 1977 | 0.000000 | NaN |
| 4929 | Nauru | NRU | 1978 | 0.000000 | NaN |
| 5193 | Nauru | NRU | 1979 | 0.000000 | NaN |
| 5457 | Nauru | NRU | 1980 | 0.000000 | NaN |
| 5721 | Nauru | NRU | 1981 | 0.000000 | NaN |
| 5985 | Nauru | NRU | 1982 | 0.000000 | NaN |
| 6249 | Nauru | NRU | 1983 | 0.000000 | NaN |
| 6513 | Nauru | NRU | 1984 | 0.000000 | NaN |
| 6777 | Nauru | NRU | 1985 | 0.000000 | NaN |
| 7041 | Nauru | NRU | 1986 | 0.000000 | NaN |
| 7305 | Nauru | NRU | 1987 | 0.000000 | NaN |
| 7569 | Nauru | NRU | 1988 | 0.000000 | NaN |
| 7833 | Nauru | NRU | 1989 | 0.000000 | NaN |
| 8097 | Nauru | NRU | 1990 | 0.000000 | 100.000000 |
| 8361 | Nauru | NRU | 1991 | 0.000000 | 100.000000 |
| 8625 | Nauru | NRU | 1992 | 0.000000 | 100.000000 |
| 8889 | Nauru | NRU | 1993 | 0.000000 | 100.000000 |
| 9153 | Nauru | NRU | 1994 | 0.000000 | 100.000000 |
| 9417 | Nauru | NRU | 1995 | 0.000000 | 100.000000 |
| 9681 | Nauru | NRU | 1996 | 0.000000 | 100.000000 |
| 9945 | Nauru | NRU | 1997 | 0.000000 | 100.000000 |
| 10209 | Nauru | NRU | 1998 | 0.000000 | 99.999924 |
| 10473 | Nauru | NRU | 1999 | 0.000000 | 99.997635 |
| 10737 | Nauru | NRU | 2000 | 0.000000 | 99.983398 |
| 11001 | Nauru | NRU | 2001 | 0.000000 | 99.940247 |
| 11265 | Nauru | NRU | 2002 | 0.000000 | 99.858757 |
| 11529 | Nauru | NRU | 2003 | 0.000000 | 99.748650 |
| 11793 | Nauru | NRU | 2004 | 0.000000 | 99.628937 |
| 12057 | Nauru | NRU | 2005 | 0.000000 | 99.513435 |
| 12321 | Nauru | NRU | 2006 | 0.000000 | 99.409561 |
| 12585 | Nauru | NRU | 2007 | 0.000000 | 99.800000 |
| 12849 | Nauru | NRU | 2008 | 0.000000 | 99.254089 |
| 13113 | Nauru | NRU | 2009 | 0.000000 | 99.205658 |
| 13377 | Nauru | NRU | 2010 | 0.000000 | 99.175644 |
| 13641 | Nauru | NRU | 2011 | 0.000000 | 99.000000 |
| 13905 | Nauru | NRU | 2012 | 0.000000 | 99.162201 |
| 14169 | Nauru | NRU | 2013 | 0.000000 | 99.162445 |
| 14433 | Nauru | NRU | 2014 | 0.000000 | 99.172058 |
| 14697 | Nauru | NRU | 2015 | 0.000000 | 99.000000 |
| 14961 | Nauru | NRU | 2016 | 0.000000 | 99.202805 |
| 15225 | Nauru | NRU | 2017 | 0.000000 | NaN |
| 176 | Nepal | NPL | 1960 | 96.520000 | NaN |
| 440 | Nepal | NPL | 1961 | 96.429000 | NaN |
| 704 | Nepal | NPL | 1962 | 96.388000 | NaN |
| 968 | Nepal | NPL | 1963 | 96.347000 | NaN |
| 1232 | Nepal | NPL | 1964 | 96.305000 | NaN |
| 1496 | Nepal | NPL | 1965 | 96.263000 | NaN |
| 1760 | Nepal | NPL | 1966 | 96.220000 | NaN |
| 2024 | Nepal | NPL | 1967 | 96.177000 | NaN |
| 2288 | Nepal | NPL | 1968 | 96.133000 | NaN |
| 2552 | Nepal | NPL | 1969 | 96.089000 | NaN |
| 2816 | Nepal | NPL | 1970 | 96.044000 | NaN |
| 3080 | Nepal | NPL | 1971 | 95.995000 | NaN |
| 3344 | Nepal | NPL | 1972 | 95.802000 | NaN |
| 3608 | Nepal | NPL | 1973 | 95.601000 | NaN |
| 3872 | Nepal | NPL | 1974 | 95.390000 | NaN |
| 4136 | Nepal | NPL | 1975 | 95.170000 | NaN |
| 4400 | Nepal | NPL | 1976 | 94.939000 | NaN |
| 4664 | Nepal | NPL | 1977 | 94.698000 | NaN |
| 4928 | Nepal | NPL | 1978 | 94.447000 | NaN |
| 5192 | Nepal | NPL | 1979 | 94.184000 | NaN |
| 5456 | Nepal | NPL | 1980 | 93.909000 | NaN |
| 5720 | Nepal | NPL | 1981 | 93.624000 | NaN |
| 5984 | Nepal | NPL | 1982 | 93.384000 | NaN |
| 6248 | Nepal | NPL | 1983 | 93.136000 | NaN |
| 6512 | Nepal | NPL | 1984 | 92.879000 | NaN |
| 6776 | Nepal | NPL | 1985 | 92.614000 | NaN |
| 7040 | Nepal | NPL | 1986 | 92.340000 | NaN |
| 7304 | Nepal | NPL | 1987 | 92.056000 | NaN |
| 7568 | Nepal | NPL | 1988 | 91.762000 | NaN |
| 7832 | Nepal | NPL | 1989 | 91.459000 | NaN |
| 8096 | Nepal | NPL | 1990 | 91.146000 | 0.010000 |
| 8360 | Nepal | NPL | 1991 | 90.820000 | 0.065060 |
| 8624 | Nepal | NPL | 1992 | 90.415000 | 0.458564 |
| 8888 | Nepal | NPL | 1993 | 89.995000 | 1.726278 |
| 9152 | Nepal | NPL | 1994 | 89.558000 | 3.533852 |
| 9416 | Nepal | NPL | 1995 | 89.105000 | 7.575013 |
| 9680 | Nepal | NPL | 1996 | 88.633000 | 17.900000 |
| 9944 | Nepal | NPL | 1997 | 88.145000 | 15.617564 |
| 10208 | Nepal | NPL | 1998 | 87.639000 | 19.612839 |
| 10472 | Nepal | NPL | 1999 | 87.114000 | 23.586699 |
| 10736 | Nepal | NPL | 2000 | 86.569000 | 27.537605 |
| 11000 | Nepal | NPL | 2001 | 86.033000 | 24.600000 |
| 11264 | Nepal | NPL | 2002 | 85.737000 | 35.390255 |
| 11528 | Nepal | NPL | 2003 | 85.436000 | 39.304123 |
| 11792 | Nepal | NPL | 2004 | 85.129000 | 37.200000 |
| 12056 | Nepal | NPL | 2005 | 84.817000 | 47.137257 |
| 12320 | Nepal | NPL | 2006 | 84.500000 | 51.200000 |
| 12584 | Nepal | NPL | 2007 | 84.178000 | 55.018013 |
| 12848 | Nepal | NPL | 2008 | 83.850000 | 58.989895 |
| 13112 | Nepal | NPL | 2009 | 83.517000 | 62.982807 |
| 13376 | Nepal | NPL | 2010 | 83.178000 | 66.993744 |
| 13640 | Nepal | NPL | 2011 | 82.834000 | 76.300000 |
| 13904 | Nepal | NPL | 2012 | 82.482000 | 75.057663 |
| 14168 | Nepal | NPL | 2013 | 82.123000 | 79.104645 |
| 14432 | Nepal | NPL | 2014 | 81.757000 | 84.900000 |
| 14696 | Nepal | NPL | 2015 | 81.385000 | 87.213623 |
| 14960 | Nepal | NPL | 2016 | 81.005000 | 90.700000 |
| 15224 | Nepal | NPL | 2017 | 80.617000 | NaN |
| 174 | Netherlands | NLD | 1960 | 40.248000 | NaN |
| 438 | Netherlands | NLD | 1961 | 39.980000 | NaN |
| 702 | Netherlands | NLD | 1962 | 39.796000 | NaN |
| 966 | Netherlands | NLD | 1963 | 39.613000 | NaN |
| 1230 | Netherlands | NLD | 1964 | 39.430000 | NaN |
| 1494 | Netherlands | NLD | 1965 | 39.247000 | NaN |
| 1758 | Netherlands | NLD | 1966 | 39.064000 | NaN |
| 2022 | Netherlands | NLD | 1967 | 38.882000 | NaN |
| 2286 | Netherlands | NLD | 1968 | 38.700000 | NaN |
| 2550 | Netherlands | NLD | 1969 | 38.519000 | NaN |
| 2814 | Netherlands | NLD | 1970 | 38.337000 | NaN |
| 3078 | Netherlands | NLD | 1971 | 38.087000 | NaN |
| 3342 | Netherlands | NLD | 1972 | 37.768000 | NaN |
| 3606 | Netherlands | NLD | 1973 | 37.450000 | NaN |
| 3870 | Netherlands | NLD | 1974 | 37.133000 | NaN |
| 4134 | Netherlands | NLD | 1975 | 36.817000 | NaN |
| 4398 | Netherlands | NLD | 1976 | 36.502000 | NaN |
| 4662 | Netherlands | NLD | 1977 | 36.189000 | NaN |
| 4926 | Netherlands | NLD | 1978 | 35.877000 | NaN |
| 5190 | Netherlands | NLD | 1979 | 35.565000 | NaN |
| 5454 | Netherlands | NLD | 1980 | 35.255000 | NaN |
| 5718 | Netherlands | NLD | 1981 | 34.896000 | NaN |
| 5982 | Netherlands | NLD | 1982 | 34.489000 | NaN |
| 6246 | Netherlands | NLD | 1983 | 34.084000 | NaN |
| 6510 | Netherlands | NLD | 1984 | 33.681000 | NaN |
| 6774 | Netherlands | NLD | 1985 | 33.281000 | NaN |
| 7038 | Netherlands | NLD | 1986 | 32.883000 | NaN |
| 7302 | Netherlands | NLD | 1987 | 32.487000 | NaN |
| 7566 | Netherlands | NLD | 1988 | 32.094000 | NaN |
| 7830 | Netherlands | NLD | 1989 | 31.704000 | NaN |
| 8094 | Netherlands | NLD | 1990 | 31.316000 | 100.000000 |
| 8358 | Netherlands | NLD | 1991 | 30.671000 | 100.000000 |
| 8622 | Netherlands | NLD | 1992 | 29.777000 | 100.000000 |
| 8886 | Netherlands | NLD | 1993 | 28.900000 | 100.000000 |
| 9150 | Netherlands | NLD | 1994 | 28.038000 | 100.000000 |
| 9414 | Netherlands | NLD | 1995 | 27.191000 | 100.000000 |
| 9678 | Netherlands | NLD | 1996 | 26.360000 | 100.000000 |
| 9942 | Netherlands | NLD | 1997 | 25.547000 | 100.000000 |
| 10206 | Netherlands | NLD | 1998 | 24.750000 | 100.000000 |
| 10470 | Netherlands | NLD | 1999 | 23.970000 | 100.000000 |
| 10734 | Netherlands | NLD | 2000 | 23.205000 | 100.000000 |
| 10998 | Netherlands | NLD | 2001 | 22.170000 | 100.000000 |
| 11262 | Netherlands | NLD | 2002 | 20.887000 | 100.000000 |
| 11526 | Netherlands | NLD | 2003 | 19.659000 | 100.000000 |
| 11790 | Netherlands | NLD | 2004 | 18.486000 | 100.000000 |
| 12054 | Netherlands | NLD | 2005 | 17.370000 | 100.000000 |
| 12318 | Netherlands | NLD | 2006 | 16.364000 | 100.000000 |
| 12582 | Netherlands | NLD | 2007 | 15.461000 | 100.000000 |
| 12846 | Netherlands | NLD | 2008 | 14.598000 | 100.000000 |
| 13110 | Netherlands | NLD | 2009 | 13.758000 | 100.000000 |
| 13374 | Netherlands | NLD | 2010 | 12.939000 | 100.000000 |
| 13638 | Netherlands | NLD | 2011 | 12.163000 | 100.000000 |
| 13902 | Netherlands | NLD | 2012 | 11.425000 | 100.000000 |
| 14166 | Netherlands | NLD | 2013 | 10.729000 | 100.000000 |
| 14430 | Netherlands | NLD | 2014 | 10.090000 | 100.000000 |
| 14694 | Netherlands | NLD | 2015 | 9.504000 | 100.000000 |
| 14958 | Netherlands | NLD | 2016 | 8.968000 | 100.000000 |
| 15222 | Netherlands | NLD | 2017 | 8.476000 | NaN |
| 170 | New Caledonia | NCL | 1960 | 62.640000 | NaN |
| 434 | New Caledonia | NCL | 1961 | 61.219000 | NaN |
| 698 | New Caledonia | NCL | 1962 | 59.776000 | NaN |
| 962 | New Caledonia | NCL | 1963 | 58.316000 | NaN |
| 1226 | New Caledonia | NCL | 1964 | 56.839000 | NaN |
| 1490 | New Caledonia | NCL | 1965 | 55.354000 | NaN |
| 1754 | New Caledonia | NCL | 1966 | 53.858000 | NaN |
| 2018 | New Caledonia | NCL | 1967 | 52.354000 | NaN |
| 2282 | New Caledonia | NCL | 1968 | 50.844000 | NaN |
| 2546 | New Caledonia | NCL | 1969 | 49.558000 | NaN |
| 2810 | New Caledonia | NCL | 1970 | 48.768000 | NaN |
| 3074 | New Caledonia | NCL | 1971 | 47.978000 | NaN |
| 3338 | New Caledonia | NCL | 1972 | 47.189000 | NaN |
| 3602 | New Caledonia | NCL | 1973 | 46.403000 | NaN |
| 3866 | New Caledonia | NCL | 1974 | 45.618000 | NaN |
| 4130 | New Caledonia | NCL | 1975 | 44.835000 | NaN |
| 4394 | New Caledonia | NCL | 1976 | 44.127000 | NaN |
| 4658 | New Caledonia | NCL | 1977 | 43.738000 | NaN |
| 4922 | New Caledonia | NCL | 1978 | 43.349000 | NaN |
| 5186 | New Caledonia | NCL | 1979 | 42.961000 | NaN |
| 5450 | New Caledonia | NCL | 1980 | 42.574000 | NaN |
| 5714 | New Caledonia | NCL | 1981 | 42.188000 | NaN |
| 5978 | New Caledonia | NCL | 1982 | 41.803000 | NaN |
| 6242 | New Caledonia | NCL | 1983 | 41.468000 | NaN |
| 6506 | New Caledonia | NCL | 1984 | 41.317000 | NaN |
| 6770 | New Caledonia | NCL | 1985 | 41.166000 | NaN |
| 7034 | New Caledonia | NCL | 1986 | 41.015000 | NaN |
| 7298 | New Caledonia | NCL | 1987 | 40.865000 | NaN |
| 7562 | New Caledonia | NCL | 1988 | 40.714000 | NaN |
| 7826 | New Caledonia | NCL | 1989 | 40.573000 | NaN |
| 8090 | New Caledonia | NCL | 1990 | 40.463000 | NaN |
| 8354 | New Caledonia | NCL | 1991 | 40.352000 | NaN |
| 8618 | New Caledonia | NCL | 1992 | 40.241000 | NaN |
| 8882 | New Caledonia | NCL | 1993 | 40.131000 | NaN |
| 9146 | New Caledonia | NCL | 1994 | 40.021000 | NaN |
| 9410 | New Caledonia | NCL | 1995 | 39.910000 | 100.000000 |
| 9674 | New Caledonia | NCL | 1996 | 39.800000 | 100.000000 |
| 9938 | New Caledonia | NCL | 1997 | 39.403000 | 100.000000 |
| 10202 | New Caledonia | NCL | 1998 | 39.008000 | 100.000000 |
| 10466 | New Caledonia | NCL | 1999 | 38.613000 | 100.000000 |
| 10730 | New Caledonia | NCL | 2000 | 38.220000 | 100.000000 |
| 10994 | New Caledonia | NCL | 2001 | 37.829000 | 100.000000 |
| 11258 | New Caledonia | NCL | 2002 | 37.439000 | 100.000000 |
| 11522 | New Caledonia | NCL | 2003 | 37.051000 | 100.000000 |
| 11786 | New Caledonia | NCL | 2004 | 36.664000 | 100.000000 |
| 12050 | New Caledonia | NCL | 2005 | 36.035000 | 100.000000 |
| 12314 | New Caledonia | NCL | 2006 | 35.362000 | 100.000000 |
| 12578 | New Caledonia | NCL | 2007 | 34.694000 | 100.000000 |
| 12842 | New Caledonia | NCL | 2008 | 34.031000 | 100.000000 |
| 13106 | New Caledonia | NCL | 2009 | 33.376000 | 100.000000 |
| 13370 | New Caledonia | NCL | 2010 | 32.727000 | 100.000000 |
| 13634 | New Caledonia | NCL | 2011 | 32.099000 | 100.000000 |
| 13898 | New Caledonia | NCL | 2012 | 31.491000 | 100.000000 |
| 14162 | New Caledonia | NCL | 2013 | 30.904000 | 100.000000 |
| 14426 | New Caledonia | NCL | 2014 | 30.337000 | 100.000000 |
| 14690 | New Caledonia | NCL | 2015 | 29.790000 | 100.000000 |
| 14954 | New Caledonia | NCL | 2016 | 29.262000 | 100.000000 |
| 15218 | New Caledonia | NCL | 2017 | 28.754000 | NaN |
| 178 | New Zealand | NZL | 1960 | 24.002000 | NaN |
| 442 | New Zealand | NZL | 1961 | 23.475000 | NaN |
| 706 | New Zealand | NZL | 1962 | 22.867000 | NaN |
| 970 | New Zealand | NZL | 1963 | 22.270000 | NaN |
| 1234 | New Zealand | NZL | 1964 | 21.683000 | NaN |
| 1498 | New Zealand | NZL | 1965 | 21.109000 | NaN |
| 1762 | New Zealand | NZL | 1966 | 20.579000 | NaN |
| 2026 | New Zealand | NZL | 1967 | 20.148000 | NaN |
| 2290 | New Zealand | NZL | 1968 | 19.723000 | NaN |
| 2554 | New Zealand | NZL | 1969 | 19.305000 | NaN |
| 2818 | New Zealand | NZL | 1970 | 18.894000 | NaN |
| 3082 | New Zealand | NZL | 1971 | 18.509000 | NaN |
| 3346 | New Zealand | NZL | 1972 | 18.181000 | NaN |
| 3610 | New Zealand | NZL | 1973 | 17.859000 | NaN |
| 3874 | New Zealand | NZL | 1974 | 17.540000 | NaN |
| 4138 | New Zealand | NZL | 1975 | 17.226000 | NaN |
| 4402 | New Zealand | NZL | 1976 | 16.972000 | NaN |
| 4666 | New Zealand | NZL | 1977 | 16.872000 | NaN |
| 4930 | New Zealand | NZL | 1978 | 16.771000 | NaN |
| 5194 | New Zealand | NZL | 1979 | 16.672000 | NaN |
| 5458 | New Zealand | NZL | 1980 | 16.572000 | NaN |
| 5722 | New Zealand | NZL | 1981 | 16.489000 | NaN |
| 5986 | New Zealand | NZL | 1982 | 16.448000 | NaN |
| 6250 | New Zealand | NZL | 1983 | 16.408000 | NaN |
| 6514 | New Zealand | NZL | 1984 | 16.367000 | NaN |
| 6778 | New Zealand | NZL | 1985 | 16.327000 | NaN |
| 7042 | New Zealand | NZL | 1986 | 16.220000 | NaN |
| 7306 | New Zealand | NZL | 1987 | 15.975000 | NaN |
| 7570 | New Zealand | NZL | 1988 | 15.732000 | NaN |
| 7834 | New Zealand | NZL | 1989 | 15.494000 | NaN |
| 8098 | New Zealand | NZL | 1990 | 15.258000 | 100.000000 |
| 8362 | New Zealand | NZL | 1991 | 15.067000 | 100.000000 |
| 8626 | New Zealand | NZL | 1992 | 14.966000 | 100.000000 |
| 8890 | New Zealand | NZL | 1993 | 14.866000 | 100.000000 |
| 9154 | New Zealand | NZL | 1994 | 14.766000 | 100.000000 |
| 9418 | New Zealand | NZL | 1995 | 14.667000 | 100.000000 |
| 9682 | New Zealand | NZL | 1996 | 14.579000 | 100.000000 |
| 9946 | New Zealand | NZL | 1997 | 14.515000 | 100.000000 |
| 10210 | New Zealand | NZL | 1998 | 14.451000 | 100.000000 |
| 10474 | New Zealand | NZL | 1999 | 14.387000 | 100.000000 |
| 10738 | New Zealand | NZL | 2000 | 14.323000 | 100.000000 |
| 11002 | New Zealand | NZL | 2001 | 14.236000 | 100.000000 |
| 11266 | New Zealand | NZL | 2002 | 14.100000 | 100.000000 |
| 11530 | New Zealand | NZL | 2003 | 14.000000 | 100.000000 |
| 11794 | New Zealand | NZL | 2004 | 13.974000 | 100.000000 |
| 12058 | New Zealand | NZL | 2005 | 13.948000 | 100.000000 |
| 12322 | New Zealand | NZL | 2006 | 13.922000 | 100.000000 |
| 12586 | New Zealand | NZL | 2007 | 13.896000 | 100.000000 |
| 12850 | New Zealand | NZL | 2008 | 13.870000 | 100.000000 |
| 13114 | New Zealand | NZL | 2009 | 13.852000 | 100.000000 |
| 13378 | New Zealand | NZL | 2010 | 13.835000 | 100.000000 |
| 13642 | New Zealand | NZL | 2011 | 13.817000 | 100.000000 |
| 13906 | New Zealand | NZL | 2012 | 13.800000 | 100.000000 |
| 14170 | New Zealand | NZL | 2013 | 13.777000 | 100.000000 |
| 14434 | New Zealand | NZL | 2014 | 13.749000 | 100.000000 |
| 14698 | New Zealand | NZL | 2015 | 13.716000 | 100.000000 |
| 14962 | New Zealand | NZL | 2016 | 13.678000 | 100.000000 |
| 15226 | New Zealand | NZL | 2017 | 13.635000 | NaN |
| 173 | Nicaragua | NIC | 1960 | 60.419000 | NaN |
| 437 | Nicaragua | NIC | 1961 | 59.970000 | NaN |
| 701 | Nicaragua | NIC | 1962 | 59.519000 | NaN |
| 965 | Nicaragua | NIC | 1963 | 58.995000 | NaN |
| 1229 | Nicaragua | NIC | 1964 | 58.145000 | NaN |
| 1493 | Nicaragua | NIC | 1965 | 57.293000 | NaN |
| 1757 | Nicaragua | NIC | 1966 | 56.435000 | NaN |
| 2021 | Nicaragua | NIC | 1967 | 55.573000 | NaN |
| 2285 | Nicaragua | NIC | 1968 | 54.707000 | NaN |
| 2549 | Nicaragua | NIC | 1969 | 53.840000 | NaN |
| 2813 | Nicaragua | NIC | 1970 | 52.970000 | NaN |
| 3077 | Nicaragua | NIC | 1971 | 52.223000 | NaN |
| 3341 | Nicaragua | NIC | 1972 | 51.983000 | NaN |
| 3605 | Nicaragua | NIC | 1973 | 51.743000 | NaN |
| 3869 | Nicaragua | NIC | 1974 | 51.503000 | NaN |
| 4133 | Nicaragua | NIC | 1975 | 51.263000 | NaN |
| 4397 | Nicaragua | NIC | 1976 | 51.023000 | NaN |
| 4661 | Nicaragua | NIC | 1977 | 50.783000 | NaN |
| 4925 | Nicaragua | NIC | 1978 | 50.543000 | NaN |
| 5189 | Nicaragua | NIC | 1979 | 50.303000 | NaN |
| 5453 | Nicaragua | NIC | 1980 | 50.062000 | NaN |
| 5717 | Nicaragua | NIC | 1981 | 49.823000 | NaN |
| 5981 | Nicaragua | NIC | 1982 | 49.582000 | NaN |
| 6245 | Nicaragua | NIC | 1983 | 49.342000 | NaN |
| 6509 | Nicaragua | NIC | 1984 | 49.102000 | NaN |
| 6773 | Nicaragua | NIC | 1985 | 48.862000 | NaN |
| 7037 | Nicaragua | NIC | 1986 | 48.622000 | NaN |
| 7301 | Nicaragua | NIC | 1987 | 48.382000 | NaN |
| 7565 | Nicaragua | NIC | 1988 | 48.142000 | NaN |
| 7829 | Nicaragua | NIC | 1989 | 47.902000 | NaN |
| 8093 | Nicaragua | NIC | 1990 | 47.663000 | 66.828041 |
| 8357 | Nicaragua | NIC | 1991 | 47.423000 | 67.465225 |
| 8621 | Nicaragua | NIC | 1992 | 47.183000 | 68.101898 |
| 8885 | Nicaragua | NIC | 1993 | 46.944000 | 72.064174 |
| 9149 | Nicaragua | NIC | 1994 | 46.705000 | 69.363014 |
| 9413 | Nicaragua | NIC | 1995 | 46.466000 | 69.981331 |
| 9677 | Nicaragua | NIC | 1996 | 46.225000 | 70.587418 |
| 9941 | Nicaragua | NIC | 1997 | 45.984000 | 71.178200 |
| 10205 | Nicaragua | NIC | 1998 | 45.744000 | 69.047103 |
| 10469 | Nicaragua | NIC | 1999 | 45.504000 | 72.301659 |
| 10733 | Nicaragua | NIC | 2000 | 45.263000 | 72.829727 |
| 10997 | Nicaragua | NIC | 2001 | 45.024000 | 72.221580 |
| 11261 | Nicaragua | NIC | 2002 | 44.784000 | 73.836693 |
| 11525 | Nicaragua | NIC | 2003 | 44.545000 | 74.327721 |
| 11789 | Nicaragua | NIC | 2004 | 44.305000 | 74.818527 |
| 12053 | Nicaragua | NIC | 2005 | 44.067000 | 73.821815 |
| 12317 | Nicaragua | NIC | 2006 | 43.819000 | 75.823730 |
| 12581 | Nicaragua | NIC | 2007 | 43.563000 | 76.350250 |
| 12845 | Nicaragua | NIC | 2008 | 43.299000 | 76.899292 |
| 13109 | Nicaragua | NIC | 2009 | 43.026000 | 77.916313 |
| 13373 | Nicaragua | NIC | 2010 | 42.745000 | 78.057457 |
| 13637 | Nicaragua | NIC | 2011 | 42.456000 | 78.660568 |
| 13901 | Nicaragua | NIC | 2012 | 42.159000 | 79.275696 |
| 14165 | Nicaragua | NIC | 2013 | 41.854000 | 79.899841 |
| 14429 | Nicaragua | NIC | 2014 | 41.541000 | 81.853073 |
| 14693 | Nicaragua | NIC | 2015 | 41.221000 | 81.163139 |
| 14957 | Nicaragua | NIC | 2016 | 40.893000 | 81.796799 |
| 15221 | Nicaragua | NIC | 2017 | 40.559000 | NaN |
| 171 | Niger | NER | 1960 | 94.207000 | NaN |
| 435 | Niger | NER | 1961 | 94.104000 | NaN |
| 699 | Niger | NER | 1962 | 94.000000 | NaN |
| 963 | Niger | NER | 1963 | 93.741000 | NaN |
| 1227 | Niger | NER | 1964 | 93.471000 | NaN |
| 1491 | Niger | NER | 1965 | 93.191000 | NaN |
| 1755 | Niger | NER | 1966 | 92.900000 | NaN |
| 2019 | Niger | NER | 1967 | 92.507000 | NaN |
| 2283 | Niger | NER | 1968 | 92.094000 | NaN |
| 2547 | Niger | NER | 1969 | 91.661000 | NaN |
| 2811 | Niger | NER | 1970 | 91.206000 | NaN |
| 3075 | Niger | NER | 1971 | 90.729000 | NaN |
| 3339 | Niger | NER | 1972 | 90.228000 | NaN |
| 3603 | Niger | NER | 1973 | 89.704000 | NaN |
| 3867 | Niger | NER | 1974 | 89.155000 | NaN |
| 4131 | Niger | NER | 1975 | 88.581000 | NaN |
| 4395 | Niger | NER | 1976 | 87.979000 | NaN |
| 4659 | Niger | NER | 1977 | 87.352000 | NaN |
| 4923 | Niger | NER | 1978 | 86.975000 | NaN |
| 5187 | Niger | NER | 1979 | 86.767000 | NaN |
| 5451 | Niger | NER | 1980 | 86.557000 | NaN |
| 5715 | Niger | NER | 1981 | 86.344000 | NaN |
| 5979 | Niger | NER | 1982 | 86.129000 | NaN |
| 6243 | Niger | NER | 1983 | 85.910000 | NaN |
| 6507 | Niger | NER | 1984 | 85.688000 | NaN |
| 6771 | Niger | NER | 1985 | 85.464000 | NaN |
| 7035 | Niger | NER | 1986 | 85.237000 | NaN |
| 7299 | Niger | NER | 1987 | 85.007000 | NaN |
| 7563 | Niger | NER | 1988 | 84.791000 | NaN |
| 7827 | Niger | NER | 1989 | 84.711000 | NaN |
| 8091 | Niger | NER | 1990 | 84.632000 | 2.290002 |
| 8355 | Niger | NER | 1991 | 84.551000 | 2.887128 |
| 8619 | Niger | NER | 1992 | 84.471000 | 4.400000 |
| 8883 | Niger | NER | 1993 | 84.390000 | 4.077301 |
| 9147 | Niger | NER | 1994 | 84.309000 | 4.664740 |
| 9411 | Niger | NER | 1995 | 84.227000 | 6.200000 |
| 9675 | Niger | NER | 1996 | 84.145000 | 7.000000 |
| 9939 | Niger | NER | 1997 | 84.063000 | 6.359756 |
| 10203 | Niger | NER | 1998 | 83.980000 | 6.700000 |
| 10467 | Niger | NER | 1999 | 83.897000 | 7.403091 |
| 10731 | Niger | NER | 2000 | 83.814000 | 6.481481 |
| 10995 | Niger | NER | 2001 | 83.730000 | 8.360699 |
| 11259 | Niger | NER | 2002 | 83.635000 | 8.817951 |
| 11523 | Niger | NER | 2003 | 83.529000 | 9.268919 |
| 11787 | Niger | NER | 2004 | 83.410000 | 9.719666 |
| 12051 | Niger | NER | 2005 | 83.280000 | 7.100000 |
| 12315 | Niger | NER | 2006 | 83.137000 | 9.300000 |
| 12579 | Niger | NER | 2007 | 82.982000 | 11.131215 |
| 12843 | Niger | NER | 2008 | 82.815000 | 11.640200 |
| 13107 | Niger | NER | 2009 | 82.634000 | 12.170211 |
| 13371 | Niger | NER | 2010 | 82.441000 | 12.718246 |
| 13635 | Niger | NER | 2011 | 82.234000 | 14.300000 |
| 13899 | Niger | NER | 2012 | 82.014000 | 14.400000 |
| 14163 | Niger | NER | 2013 | 81.780000 | 14.440454 |
| 14427 | Niger | NER | 2014 | 81.531000 | 15.030544 |
| 14691 | Niger | NER | 2015 | 81.268000 | 16.600000 |
| 14955 | Niger | NER | 2016 | 80.990000 | 16.217234 |
| 15219 | Niger | NER | 2017 | 80.697000 | NaN |
| 172 | Nigeria | NGA | 1960 | 84.590000 | NaN |
| 436 | Nigeria | NGA | 1961 | 84.367000 | NaN |
| 700 | Nigeria | NGA | 1962 | 84.142000 | NaN |
| 964 | Nigeria | NGA | 1963 | 83.913000 | NaN |
| 1228 | Nigeria | NGA | 1964 | 83.682000 | NaN |
| 1492 | Nigeria | NGA | 1965 | 83.449000 | NaN |
| 1756 | Nigeria | NGA | 1966 | 83.212000 | NaN |
| 2020 | Nigeria | NGA | 1967 | 82.973000 | NaN |
| 2284 | Nigeria | NGA | 1968 | 82.731000 | NaN |
| 2548 | Nigeria | NGA | 1969 | 82.487000 | NaN |
| 2812 | Nigeria | NGA | 1970 | 82.240000 | NaN |
| 3076 | Nigeria | NGA | 1971 | 81.849000 | NaN |
| 3340 | Nigeria | NGA | 1972 | 81.451000 | NaN |
| 3604 | Nigeria | NGA | 1973 | 81.048000 | NaN |
| 3868 | Nigeria | NGA | 1974 | 80.637000 | NaN |
| 4132 | Nigeria | NGA | 1975 | 80.220000 | NaN |
| 4396 | Nigeria | NGA | 1976 | 79.795000 | NaN |
| 4660 | Nigeria | NGA | 1977 | 79.364000 | NaN |
| 4924 | Nigeria | NGA | 1978 | 78.926000 | NaN |
| 5188 | Nigeria | NGA | 1979 | 78.482000 | NaN |
| 5452 | Nigeria | NGA | 1980 | 78.030000 | NaN |
| 5716 | Nigeria | NGA | 1981 | 77.329000 | NaN |
| 5980 | Nigeria | NGA | 1982 | 76.611000 | NaN |
| 6244 | Nigeria | NGA | 1983 | 75.878000 | NaN |
| 6508 | Nigeria | NGA | 1984 | 75.128000 | NaN |
| 6772 | Nigeria | NGA | 1985 | 74.365000 | NaN |
| 7036 | Nigeria | NGA | 1986 | 73.586000 | NaN |
| 7300 | Nigeria | NGA | 1987 | 72.791000 | NaN |
| 7564 | Nigeria | NGA | 1988 | 71.981000 | NaN |
| 7828 | Nigeria | NGA | 1989 | 71.158000 | NaN |
| 8092 | Nigeria | NGA | 1990 | 70.320000 | 27.300000 |
| 8356 | Nigeria | NGA | 1991 | 69.824000 | 33.558380 |
| 8620 | Nigeria | NGA | 1992 | 69.323000 | 34.618912 |
| 8884 | Nigeria | NGA | 1993 | 68.818000 | 35.676388 |
| 9148 | Nigeria | NGA | 1994 | 68.309000 | 36.727745 |
| 9412 | Nigeria | NGA | 1995 | 67.795000 | 37.769924 |
| 9676 | Nigeria | NGA | 1996 | 67.275000 | 38.799870 |
| 9940 | Nigeria | NGA | 1997 | 66.753000 | 39.814514 |
| 10204 | Nigeria | NGA | 1998 | 66.227000 | 40.810810 |
| 10468 | Nigeria | NGA | 1999 | 65.696000 | 44.900000 |
| 10732 | Nigeria | NGA | 2000 | 65.160000 | 42.737614 |
| 10996 | Nigeria | NGA | 2001 | 64.331000 | 43.671131 |
| 11260 | Nigeria | NGA | 2002 | 63.492000 | 44.592300 |
| 11524 | Nigeria | NGA | 2003 | 62.644000 | 52.200000 |
| 11788 | Nigeria | NGA | 2004 | 61.788000 | 46.421852 |
| 12052 | Nigeria | NGA | 2005 | 60.926000 | 47.342361 |
| 12316 | Nigeria | NGA | 2006 | 60.057000 | 48.274776 |
| 12580 | Nigeria | NGA | 2007 | 59.181000 | 50.130919 |
| 12844 | Nigeria | NGA | 2008 | 58.298000 | 50.300000 |
| 13108 | Nigeria | NGA | 2009 | 57.412000 | 51.191990 |
| 13372 | Nigeria | NGA | 2010 | 56.520000 | 48.000000 |
| 13636 | Nigeria | NGA | 2011 | 55.638000 | 55.900000 |
| 13900 | Nigeria | NGA | 2012 | 54.766000 | 54.269905 |
| 14164 | Nigeria | NGA | 2013 | 53.906000 | 55.600000 |
| 14428 | Nigeria | NGA | 2014 | 53.058000 | 56.371914 |
| 14692 | Nigeria | NGA | 2015 | 52.224000 | 52.500000 |
| 14956 | Nigeria | NGA | 2016 | 51.403000 | 59.300000 |
| 15220 | Nigeria | NGA | 2017 | 50.597000 | NaN |
| 168 | North America | NAC | 1960 | 30.081597 | NaN |
| 432 | North America | NAC | 1961 | 29.680455 | NaN |
| 696 | North America | NAC | 1962 | 29.260216 | NaN |
| 960 | North America | NAC | 1963 | 28.843635 | NaN |
| 1224 | North America | NAC | 1964 | 28.430612 | NaN |
| 1488 | North America | NAC | 1965 | 28.021282 | NaN |
| 1752 | North America | NAC | 1966 | 27.617384 | NaN |
| 2016 | North America | NAC | 1967 | 27.237802 | NaN |
| 2280 | North America | NAC | 1968 | 26.861450 | NaN |
| 2544 | North America | NAC | 1969 | 26.488776 | NaN |
| 2808 | North America | NAC | 1970 | 26.198342 | NaN |
| 3072 | North America | NAC | 1971 | 26.146956 | NaN |
| 3336 | North America | NAC | 1972 | 26.148192 | NaN |
| 3600 | North America | NAC | 1973 | 26.149216 | NaN |
| 3864 | North America | NAC | 1974 | 26.150141 | NaN |
| 4128 | North America | NAC | 1975 | 26.151211 | NaN |
| 4392 | North America | NAC | 1976 | 26.152095 | NaN |
| 4656 | North America | NAC | 1977 | 26.138935 | NaN |
| 4920 | North America | NAC | 1978 | 26.127048 | NaN |
| 5184 | North America | NAC | 1979 | 26.114347 | NaN |
| 5448 | North America | NAC | 1980 | 26.068342 | NaN |
| 5712 | North America | NAC | 1981 | 25.926033 | NaN |
| 5976 | North America | NAC | 1982 | 25.772693 | NaN |
| 6240 | North America | NAC | 1983 | 25.619702 | NaN |
| 6504 | North America | NAC | 1984 | 25.468595 | NaN |
| 6768 | North America | NAC | 1985 | 25.317675 | NaN |
| 7032 | North America | NAC | 1986 | 25.167775 | NaN |
| 7296 | North America | NAC | 1987 | 25.030861 | NaN |
| 7560 | North America | NAC | 1988 | 24.894089 | NaN |
| 7824 | North America | NAC | 1989 | 24.758606 | NaN |
| 8088 | North America | NAC | 1990 | 24.566317 | 100.000000 |
| 8352 | North America | NAC | 1991 | 24.201835 | 100.000000 |
| 8616 | North America | NAC | 1992 | 23.819058 | 100.000000 |
| 8880 | North America | NAC | 1993 | 23.440914 | 100.000000 |
| 9144 | North America | NAC | 1994 | 23.066624 | 100.000000 |
| 9408 | North America | NAC | 1995 | 22.696909 | 100.000000 |
| 9672 | North America | NAC | 1996 | 22.328258 | 100.000000 |
| 9936 | North America | NAC | 1997 | 21.954715 | 100.000000 |
| 10200 | North America | NAC | 1998 | 21.584413 | 100.000000 |
| 10464 | North America | NAC | 1999 | 21.218229 | 100.000000 |
| 10728 | North America | NAC | 2000 | 20.897475 | 100.000000 |
| 10992 | North America | NAC | 2001 | 20.705259 | 100.000000 |
| 11256 | North America | NAC | 2002 | 20.539855 | 100.000000 |
| 11520 | North America | NAC | 2003 | 20.375190 | 100.000000 |
| 11784 | North America | NAC | 2004 | 20.210664 | 100.000000 |
| 12048 | North America | NAC | 2005 | 20.048955 | 100.000000 |
| 12312 | North America | NAC | 2006 | 19.885904 | 100.000000 |
| 12576 | North America | NAC | 2007 | 19.714670 | 100.000000 |
| 12840 | North America | NAC | 2008 | 19.544421 | 100.000000 |
| 13104 | North America | NAC | 2009 | 19.375248 | 100.000000 |
| 13368 | North America | NAC | 2010 | 19.208015 | 100.000000 |
| 13632 | North America | NAC | 2011 | 19.039077 | 100.000000 |
| 13896 | North America | NAC | 2012 | 18.870060 | 100.000000 |
| 14160 | North America | NAC | 2013 | 18.700033 | 100.000000 |
| 14424 | North America | NAC | 2014 | 18.529223 | 100.000000 |
| 14688 | North America | NAC | 2015 | 18.358458 | 100.000000 |
| 14952 | North America | NAC | 2016 | 18.186716 | 100.000000 |
| 15216 | North America | NAC | 2017 | 18.014161 | NaN |
| 162 | Northern Mariana Islands | MNP | 1960 | 48.781000 | NaN |
| 426 | Northern Mariana Islands | MNP | 1961 | 47.259000 | NaN |
| 690 | Northern Mariana Islands | MNP | 1962 | 45.740000 | NaN |
| 954 | Northern Mariana Islands | MNP | 1963 | 44.229000 | NaN |
| 1218 | Northern Mariana Islands | MNP | 1964 | 42.726000 | NaN |
| 1482 | Northern Mariana Islands | MNP | 1965 | 41.241000 | NaN |
| 1746 | Northern Mariana Islands | MNP | 1966 | 39.769000 | NaN |
| 2010 | Northern Mariana Islands | MNP | 1967 | 38.312000 | NaN |
| 2274 | Northern Mariana Islands | MNP | 1968 | 35.408000 | NaN |
| 2538 | Northern Mariana Islands | MNP | 1969 | 32.616000 | NaN |
| 2802 | Northern Mariana Islands | MNP | 1970 | 29.938000 | NaN |
| 3066 | Northern Mariana Islands | MNP | 1971 | 27.391000 | NaN |
| 3330 | Northern Mariana Islands | MNP | 1972 | 24.979000 | NaN |
| 3594 | Northern Mariana Islands | MNP | 1973 | 22.720000 | NaN |
| 3858 | Northern Mariana Islands | MNP | 1974 | 20.984000 | NaN |
| 4122 | Northern Mariana Islands | MNP | 1975 | 19.446000 | NaN |
| 4386 | Northern Mariana Islands | MNP | 1976 | 17.993000 | NaN |
| 4650 | Northern Mariana Islands | MNP | 1977 | 16.630000 | NaN |
| 4914 | Northern Mariana Islands | MNP | 1978 | 15.349000 | NaN |
| 5178 | Northern Mariana Islands | MNP | 1979 | 14.150000 | NaN |
| 5442 | Northern Mariana Islands | MNP | 1980 | 13.216000 | NaN |
| 5706 | Northern Mariana Islands | MNP | 1981 | 12.883000 | NaN |
| 5970 | Northern Mariana Islands | MNP | 1982 | 12.556000 | NaN |
| 6234 | Northern Mariana Islands | MNP | 1983 | 12.237000 | NaN |
| 6498 | Northern Mariana Islands | MNP | 1984 | 11.924000 | NaN |
| 6762 | Northern Mariana Islands | MNP | 1985 | 11.619000 | NaN |
| 7026 | Northern Mariana Islands | MNP | 1986 | 11.321000 | NaN |
| 7290 | Northern Mariana Islands | MNP | 1987 | 11.029000 | NaN |
| 7554 | Northern Mariana Islands | MNP | 1988 | 10.743000 | NaN |
| 7818 | Northern Mariana Islands | MNP | 1989 | 10.465000 | NaN |
| 8082 | Northern Mariana Islands | MNP | 1990 | 10.269000 | NaN |
| 8346 | Northern Mariana Islands | MNP | 1991 | 10.303000 | NaN |
| 8610 | Northern Mariana Islands | MNP | 1992 | 10.338000 | NaN |
| 8874 | Northern Mariana Islands | MNP | 1993 | 10.373000 | NaN |
| 9138 | Northern Mariana Islands | MNP | 1994 | 10.408000 | NaN |
| 9402 | Northern Mariana Islands | MNP | 1995 | 10.443000 | 100.000000 |
| 9666 | Northern Mariana Islands | MNP | 1996 | 10.345000 | 100.000000 |
| 9930 | Northern Mariana Islands | MNP | 1997 | 10.216000 | 100.000000 |
| 10194 | Northern Mariana Islands | MNP | 1998 | 10.088000 | 100.000000 |
| 10458 | Northern Mariana Islands | MNP | 1999 | 9.962000 | 100.000000 |
| 10722 | Northern Mariana Islands | MNP | 2000 | 9.884000 | 100.000000 |
| 10986 | Northern Mariana Islands | MNP | 2001 | 9.946000 | 100.000000 |
| 11250 | Northern Mariana Islands | MNP | 2002 | 10.009000 | 100.000000 |
| 11514 | Northern Mariana Islands | MNP | 2003 | 10.073000 | 100.000000 |
| 11778 | Northern Mariana Islands | MNP | 2004 | 10.137000 | 100.000000 |
| 12042 | Northern Mariana Islands | MNP | 2005 | 10.201000 | 100.000000 |
| 12306 | Northern Mariana Islands | MNP | 2006 | 10.265000 | 100.000000 |
| 12570 | Northern Mariana Islands | MNP | 2007 | 10.330000 | 100.000000 |
| 12834 | Northern Mariana Islands | MNP | 2008 | 10.395000 | 100.000000 |
| 13098 | Northern Mariana Islands | MNP | 2009 | 10.461000 | 100.000000 |
| 13362 | Northern Mariana Islands | MNP | 2010 | 10.526000 | 100.000000 |
| 13626 | Northern Mariana Islands | MNP | 2011 | 10.586000 | 100.000000 |
| 13890 | Northern Mariana Islands | MNP | 2012 | 10.640000 | 100.000000 |
| 14154 | Northern Mariana Islands | MNP | 2013 | 10.687000 | 100.000000 |
| 14418 | Northern Mariana Islands | MNP | 2014 | 10.728000 | 100.000000 |
| 14682 | Northern Mariana Islands | MNP | 2015 | 10.763000 | 100.000000 |
| 14946 | Northern Mariana Islands | MNP | 2016 | 10.791000 | 100.000000 |
| 15210 | Northern Mariana Islands | MNP | 2017 | 10.813000 | NaN |
| 175 | Norway | NOR | 1960 | 50.080000 | NaN |
| 439 | Norway | NOR | 1961 | 49.002000 | NaN |
| 703 | Norway | NOR | 1962 | 47.347000 | NaN |
| 967 | Norway | NOR | 1963 | 45.698000 | NaN |
| 1231 | Norway | NOR | 1964 | 44.056000 | NaN |
| 1495 | Norway | NOR | 1965 | 42.432000 | NaN |
| 1759 | Norway | NOR | 1966 | 40.821000 | NaN |
| 2023 | Norway | NOR | 1967 | 39.230000 | NaN |
| 2287 | Norway | NOR | 1968 | 37.660000 | NaN |
| 2551 | Norway | NOR | 1969 | 36.119000 | NaN |
| 2815 | Norway | NOR | 1970 | 34.604000 | NaN |
| 3079 | Norway | NOR | 1971 | 33.770000 | NaN |
| 3343 | Norway | NOR | 1972 | 33.275000 | NaN |
| 3607 | Norway | NOR | 1973 | 32.784000 | NaN |
| 3871 | Norway | NOR | 1974 | 32.297000 | NaN |
| 4135 | Norway | NOR | 1975 | 31.813000 | NaN |
| 4399 | Norway | NOR | 1976 | 31.333000 | NaN |
| 4663 | Norway | NOR | 1977 | 30.858000 | NaN |
| 4927 | Norway | NOR | 1978 | 30.386000 | NaN |
| 5191 | Norway | NOR | 1979 | 29.919000 | NaN |
| 5455 | Norway | NOR | 1980 | 29.455000 | NaN |
| 5719 | Norway | NOR | 1981 | 29.213000 | NaN |
| 5983 | Norway | NOR | 1982 | 29.082000 | NaN |
| 6247 | Norway | NOR | 1983 | 28.951000 | NaN |
| 6511 | Norway | NOR | 1984 | 28.820000 | NaN |
| 6775 | Norway | NOR | 1985 | 28.690000 | NaN |
| 7039 | Norway | NOR | 1986 | 28.560000 | NaN |
| 7303 | Norway | NOR | 1987 | 28.430000 | NaN |
| 7567 | Norway | NOR | 1988 | 28.301000 | NaN |
| 7831 | Norway | NOR | 1989 | 28.172000 | NaN |
| 8095 | Norway | NOR | 1990 | 28.044000 | 100.000000 |
| 8359 | Norway | NOR | 1991 | 27.735000 | 100.000000 |
| 8623 | Norway | NOR | 1992 | 27.335000 | 100.000000 |
| 8887 | Norway | NOR | 1993 | 26.939000 | 100.000000 |
| 9151 | Norway | NOR | 1994 | 26.547000 | 100.000000 |
| 9415 | Norway | NOR | 1995 | 26.236000 | 100.000000 |
| 9679 | Norway | NOR | 1996 | 25.961000 | 100.000000 |
| 9943 | Norway | NOR | 1997 | 25.691000 | 100.000000 |
| 10207 | Norway | NOR | 1998 | 25.625000 | 100.000000 |
| 10471 | Norway | NOR | 1999 | 24.914000 | 100.000000 |
| 10735 | Norway | NOR | 2000 | 23.919000 | 100.000000 |
| 10999 | Norway | NOR | 2001 | 23.439000 | 100.000000 |
| 11263 | Norway | NOR | 2002 | 23.001000 | 100.000000 |
| 11527 | Norway | NOR | 2003 | 22.770000 | 100.000000 |
| 11791 | Norway | NOR | 2004 | 22.725000 | 100.000000 |
| 12055 | Norway | NOR | 2005 | 22.510000 | 100.000000 |
| 12319 | Norway | NOR | 2006 | 22.111000 | 100.000000 |
| 12583 | Norway | NOR | 2007 | 21.766000 | 100.000000 |
| 12847 | Norway | NOR | 2008 | 21.474000 | 100.000000 |
| 13111 | Norway | NOR | 2009 | 21.185000 | 100.000000 |
| 13375 | Norway | NOR | 2010 | 20.898000 | 100.000000 |
| 13639 | Norway | NOR | 2011 | 20.615000 | 100.000000 |
| 13903 | Norway | NOR | 2012 | 20.335000 | 100.000000 |
| 14167 | Norway | NOR | 2013 | 20.061000 | 100.000000 |
| 14431 | Norway | NOR | 2014 | 19.792000 | 100.000000 |
| 14695 | Norway | NOR | 2015 | 19.527000 | 100.000000 |
| 14959 | Norway | NOR | 2016 | 19.266000 | 100.000000 |
| 15223 | Norway | NOR | 2017 | 19.010000 | NaN |
| 108 | Not classified | INX | 1960 | NaN | NaN |
| 372 | Not classified | INX | 1961 | NaN | NaN |
| 636 | Not classified | INX | 1962 | NaN | NaN |
| 900 | Not classified | INX | 1963 | NaN | NaN |
| 1164 | Not classified | INX | 1964 | NaN | NaN |
| 1428 | Not classified | INX | 1965 | NaN | NaN |
| 1692 | Not classified | INX | 1966 | NaN | NaN |
| 1956 | Not classified | INX | 1967 | NaN | NaN |
| 2220 | Not classified | INX | 1968 | NaN | NaN |
| 2484 | Not classified | INX | 1969 | NaN | NaN |
| 2748 | Not classified | INX | 1970 | NaN | NaN |
| 3012 | Not classified | INX | 1971 | NaN | NaN |
| 3276 | Not classified | INX | 1972 | NaN | NaN |
| 3540 | Not classified | INX | 1973 | NaN | NaN |
| 3804 | Not classified | INX | 1974 | NaN | NaN |
| 4068 | Not classified | INX | 1975 | NaN | NaN |
| 4332 | Not classified | INX | 1976 | NaN | NaN |
| 4596 | Not classified | INX | 1977 | NaN | NaN |
| 4860 | Not classified | INX | 1978 | NaN | NaN |
| 5124 | Not classified | INX | 1979 | NaN | NaN |
| 5388 | Not classified | INX | 1980 | NaN | NaN |
| 5652 | Not classified | INX | 1981 | NaN | NaN |
| 5916 | Not classified | INX | 1982 | NaN | NaN |
| 6180 | Not classified | INX | 1983 | NaN | NaN |
| 6444 | Not classified | INX | 1984 | NaN | NaN |
| 6708 | Not classified | INX | 1985 | NaN | NaN |
| 6972 | Not classified | INX | 1986 | NaN | NaN |
| 7236 | Not classified | INX | 1987 | NaN | NaN |
| 7500 | Not classified | INX | 1988 | NaN | NaN |
| 7764 | Not classified | INX | 1989 | NaN | NaN |
| 8028 | Not classified | INX | 1990 | NaN | NaN |
| 8292 | Not classified | INX | 1991 | NaN | NaN |
| 8556 | Not classified | INX | 1992 | NaN | NaN |
| 8820 | Not classified | INX | 1993 | NaN | NaN |
| 9084 | Not classified | INX | 1994 | NaN | NaN |
| 9348 | Not classified | INX | 1995 | NaN | NaN |
| 9612 | Not classified | INX | 1996 | NaN | NaN |
| 9876 | Not classified | INX | 1997 | NaN | NaN |
| 10140 | Not classified | INX | 1998 | NaN | NaN |
| 10404 | Not classified | INX | 1999 | NaN | NaN |
| 10668 | Not classified | INX | 2000 | NaN | NaN |
| 10932 | Not classified | INX | 2001 | NaN | NaN |
| 11196 | Not classified | INX | 2002 | NaN | NaN |
| 11460 | Not classified | INX | 2003 | NaN | NaN |
| 11724 | Not classified | INX | 2004 | NaN | NaN |
| 11988 | Not classified | INX | 2005 | NaN | NaN |
| 12252 | Not classified | INX | 2006 | NaN | NaN |
| 12516 | Not classified | INX | 2007 | NaN | NaN |
| 12780 | Not classified | INX | 2008 | NaN | NaN |
| 13044 | Not classified | INX | 2009 | NaN | NaN |
| 13308 | Not classified | INX | 2010 | NaN | NaN |
| 13572 | Not classified | INX | 2011 | NaN | NaN |
| 13836 | Not classified | INX | 2012 | NaN | NaN |
| 14100 | Not classified | INX | 2013 | NaN | NaN |
| 14364 | Not classified | INX | 2014 | NaN | NaN |
| 14628 | Not classified | INX | 2015 | NaN | NaN |
| 14892 | Not classified | INX | 2016 | NaN | NaN |
| 15156 | Not classified | INX | 2017 | NaN | NaN |
| 179 | OECD members | OED | 1960 | 37.541618 | NaN |
| 443 | OECD members | OED | 1961 | 37.049365 | NaN |
| 707 | OECD members | OED | 1962 | 36.556677 | NaN |
| 971 | OECD members | OED | 1963 | 36.047408 | NaN |
| 1235 | OECD members | OED | 1964 | 35.539359 | NaN |
| 1499 | OECD members | OED | 1965 | 35.033206 | NaN |
| 1763 | OECD members | OED | 1966 | 34.530054 | NaN |
| 2027 | OECD members | OED | 1967 | 34.018692 | NaN |
| 2291 | OECD members | OED | 1968 | 33.520232 | NaN |
| 2555 | OECD members | OED | 1969 | 33.037428 | NaN |
| 2819 | OECD members | OED | 1970 | 32.575250 | NaN |
| 3083 | OECD members | OED | 1971 | 32.184566 | NaN |
| 3347 | OECD members | OED | 1972 | 31.825587 | NaN |
| 3611 | OECD members | OED | 1973 | 31.480372 | NaN |
| 3875 | OECD members | OED | 1974 | 31.130272 | NaN |
| 4139 | OECD members | OED | 1975 | 30.799734 | NaN |
| 4403 | OECD members | OED | 1976 | 30.544891 | NaN |
| 4667 | OECD members | OED | 1977 | 30.300249 | NaN |
| 4931 | OECD members | OED | 1978 | 30.053402 | NaN |
| 5195 | OECD members | OED | 1979 | 29.811196 | NaN |
| 5459 | OECD members | OED | 1980 | 29.568449 | NaN |
| 5723 | OECD members | OED | 1981 | 29.270203 | NaN |
| 5987 | OECD members | OED | 1982 | 28.981098 | NaN |
| 6251 | OECD members | OED | 1983 | 28.706066 | NaN |
| 6515 | OECD members | OED | 1984 | 28.440428 | NaN |
| 6779 | OECD members | OED | 1985 | 28.175382 | NaN |
| 7043 | OECD members | OED | 1986 | 27.900421 | NaN |
| 7307 | OECD members | OED | 1987 | 27.652088 | NaN |
| 7571 | OECD members | OED | 1988 | 27.312755 | NaN |
| 7835 | OECD members | OED | 1989 | 27.041718 | NaN |
| 8099 | OECD members | OED | 1990 | 26.751718 | 98.833559 |
| 8363 | OECD members | OED | 1991 | 26.465977 | 98.908556 |
| 8627 | OECD members | OED | 1992 | 26.200373 | 98.815190 |
| 8891 | OECD members | OED | 1993 | 25.938651 | 99.019054 |
| 9155 | OECD members | OED | 1994 | 25.681212 | 99.052295 |
| 9419 | OECD members | OED | 1995 | 25.427060 | 99.098999 |
| 9683 | OECD members | OED | 1996 | 25.195533 | 99.215687 |
| 9947 | OECD members | OED | 1997 | 24.974016 | 99.268686 |
| 10211 | OECD members | OED | 1998 | 24.754656 | 99.285667 |
| 10475 | OECD members | OED | 1999 | 24.530036 | 99.365500 |
| 10739 | OECD members | OED | 2000 | 24.302227 | 99.510667 |
| 11003 | OECD members | OED | 2001 | 23.959623 | 99.453281 |
| 11267 | OECD members | OED | 2002 | 23.565058 | 99.543392 |
| 11531 | OECD members | OED | 2003 | 23.189207 | 99.551791 |
| 11795 | OECD members | OED | 2004 | 22.829759 | 99.661164 |
| 12059 | OECD members | OED | 2005 | 22.483640 | 99.720314 |
| 12323 | OECD members | OED | 2006 | 22.165580 | 99.781321 |
| 12587 | OECD members | OED | 2007 | 21.862736 | 99.720681 |
| 12851 | OECD members | OED | 2008 | 21.567013 | 99.814616 |
| 13115 | OECD members | OED | 2009 | 21.280179 | 99.834511 |
| 13379 | OECD members | OED | 2010 | 21.000099 | 99.919559 |
| 13643 | OECD members | OED | 2011 | 20.725384 | 99.917417 |
| 13907 | OECD members | OED | 2012 | 20.466596 | 99.911777 |
| 14171 | OECD members | OED | 2013 | 20.220552 | 99.970089 |
| 14435 | OECD members | OED | 2014 | 19.980779 | 99.919243 |
| 14699 | OECD members | OED | 2015 | 19.743363 | 99.897818 |
| 14963 | OECD members | OED | 2016 | 19.510954 | 100.000000 |
| 15227 | OECD members | OED | 2017 | 19.283086 | NaN |
| 180 | Oman | OMN | 1960 | 83.600000 | NaN |
| 444 | Oman | OMN | 1961 | 82.525000 | NaN |
| 708 | Oman | OMN | 1962 | 81.393000 | NaN |
| 972 | Oman | OMN | 1963 | 80.206000 | NaN |
| 1236 | Oman | OMN | 1964 | 78.960000 | NaN |
| 1500 | Oman | OMN | 1965 | 77.662000 | NaN |
| 1764 | Oman | OMN | 1966 | 76.306000 | NaN |
| 2028 | Oman | OMN | 1967 | 74.894000 | NaN |
| 2292 | Oman | OMN | 1968 | 73.425000 | NaN |
| 2556 | Oman | OMN | 1969 | 71.907000 | NaN |
| 2820 | Oman | OMN | 1970 | 70.335000 | NaN |
| 3084 | Oman | OMN | 1971 | 68.713000 | NaN |
| 3348 | Oman | OMN | 1972 | 67.042000 | NaN |
| 3612 | Oman | OMN | 1973 | 65.331000 | NaN |
| 3876 | Oman | OMN | 1974 | 63.577000 | NaN |
| 4140 | Oman | OMN | 1975 | 61.787000 | NaN |
| 4404 | Oman | OMN | 1976 | 59.961000 | NaN |
| 4668 | Oman | OMN | 1977 | 58.112000 | NaN |
| 4932 | Oman | OMN | 1978 | 56.238000 | NaN |
| 5196 | Oman | OMN | 1979 | 54.346000 | NaN |
| 5460 | Oman | OMN | 1980 | 52.438000 | NaN |
| 5724 | Oman | OMN | 1981 | 50.529000 | NaN |
| 5988 | Oman | OMN | 1982 | 48.615000 | NaN |
| 6252 | Oman | OMN | 1983 | 46.706000 | NaN |
| 6516 | Oman | OMN | 1984 | 44.803000 | NaN |
| 6780 | Oman | OMN | 1985 | 42.921000 | NaN |
| 7044 | Oman | OMN | 1986 | 41.056000 | NaN |
| 7308 | Oman | OMN | 1987 | 39.217000 | NaN |
| 7572 | Oman | OMN | 1988 | 37.406000 | NaN |
| 7836 | Oman | OMN | 1989 | 35.634000 | NaN |
| 8100 | Oman | OMN | 1990 | 33.898000 | NaN |
| 8364 | Oman | OMN | 1991 | 32.204000 | NaN |
| 8628 | Oman | OMN | 1992 | 30.553000 | NaN |
| 8892 | Oman | OMN | 1993 | 28.956000 | NaN |
| 9156 | Oman | OMN | 1994 | 28.312000 | NaN |
| 9420 | Oman | OMN | 1995 | 28.331000 | NaN |
| 9684 | Oman | OMN | 1996 | 28.351000 | NaN |
| 9948 | Oman | OMN | 1997 | 28.371000 | NaN |
| 10212 | Oman | OMN | 1998 | 28.391000 | NaN |
| 10476 | Oman | OMN | 1999 | 28.411000 | NaN |
| 10740 | Oman | OMN | 2000 | 28.431000 | NaN |
| 11004 | Oman | OMN | 2001 | 28.451000 | NaN |
| 11268 | Oman | OMN | 2002 | 28.471000 | NaN |
| 11532 | Oman | OMN | 2003 | 28.491000 | NaN |
| 11796 | Oman | OMN | 2004 | 28.173000 | NaN |
| 12060 | Oman | OMN | 2005 | 27.600000 | NaN |
| 12324 | Oman | OMN | 2006 | 27.033000 | NaN |
| 12588 | Oman | OMN | 2007 | 26.473000 | 100.000000 |
| 12852 | Oman | OMN | 2008 | 25.920000 | 100.000000 |
| 13116 | Oman | OMN | 2009 | 25.376000 | 100.000000 |
| 13380 | Oman | OMN | 2010 | 24.839000 | 100.000000 |
| 13644 | Oman | OMN | 2011 | 24.309000 | 100.000000 |
| 13908 | Oman | OMN | 2012 | 23.796000 | 100.000000 |
| 14172 | Oman | OMN | 2013 | 23.301000 | 100.000000 |
| 14436 | Oman | OMN | 2014 | 22.822000 | 100.000000 |
| 14700 | Oman | OMN | 2015 | 22.359000 | 100.000000 |
| 14964 | Oman | OMN | 2016 | 21.912000 | 100.000000 |
| 15228 | Oman | OMN | 2017 | 21.481000 | NaN |
| 181 | Other small states | OSS | 1960 | 72.805690 | NaN |
| 445 | Other small states | OSS | 1961 | 72.383226 | NaN |
| 709 | Other small states | OSS | 1962 | 71.932668 | NaN |
| 973 | Other small states | OSS | 1963 | 71.426892 | NaN |
| 1237 | Other small states | OSS | 1964 | 70.880153 | NaN |
| 1501 | Other small states | OSS | 1965 | 70.308595 | NaN |
| 1765 | Other small states | OSS | 1966 | 69.742548 | NaN |
| 2029 | Other small states | OSS | 1967 | 69.226858 | NaN |
| 2293 | Other small states | OSS | 1968 | 68.686129 | NaN |
| 2557 | Other small states | OSS | 1969 | 68.124318 | NaN |
| 2821 | Other small states | OSS | 1970 | 67.541104 | NaN |
| 3085 | Other small states | OSS | 1971 | 66.923773 | NaN |
| 3349 | Other small states | OSS | 1972 | 66.344907 | NaN |
| 3613 | Other small states | OSS | 1973 | 65.829492 | NaN |
| 3877 | Other small states | OSS | 1974 | 65.230276 | NaN |
| 4141 | Other small states | OSS | 1975 | 64.582545 | NaN |
| 4405 | Other small states | OSS | 1976 | 63.906830 | NaN |
| 4669 | Other small states | OSS | 1977 | 63.246861 | NaN |
| 4933 | Other small states | OSS | 1978 | 62.580550 | NaN |
| 5197 | Other small states | OSS | 1979 | 61.939514 | NaN |
| 5461 | Other small states | OSS | 1980 | 61.304140 | NaN |
| 5725 | Other small states | OSS | 1981 | 60.684852 | NaN |
| 5989 | Other small states | OSS | 1982 | 60.048029 | NaN |
| 6253 | Other small states | OSS | 1983 | 59.479712 | NaN |
| 6517 | Other small states | OSS | 1984 | 58.877638 | NaN |
| 6781 | Other small states | OSS | 1985 | 58.225484 | NaN |
| 7045 | Other small states | OSS | 1986 | 57.511761 | NaN |
| 7309 | Other small states | OSS | 1987 | 56.764960 | NaN |
| 7573 | Other small states | OSS | 1988 | 55.999445 | NaN |
| 7837 | Other small states | OSS | 1989 | 55.254980 | NaN |
| 8101 | Other small states | OSS | 1990 | 54.542273 | 44.811034 |
| 8365 | Other small states | OSS | 1991 | 53.894458 | 45.301022 |
| 8629 | Other small states | OSS | 1992 | 53.494946 | 45.418803 |
| 8893 | Other small states | OSS | 1993 | 53.152174 | 45.819570 |
| 9157 | Other small states | OSS | 1994 | 52.795904 | 46.616958 |
| 9421 | Other small states | OSS | 1995 | 52.438300 | 47.371109 |
| 9685 | Other small states | OSS | 1996 | 52.045934 | 48.272195 |
| 9949 | Other small states | OSS | 1997 | 51.636288 | 49.017708 |
| 10213 | Other small states | OSS | 1998 | 51.210088 | 49.908509 |
| 10477 | Other small states | OSS | 1999 | 50.752790 | 50.886884 |
| 10741 | Other small states | OSS | 2000 | 50.276137 | 52.394052 |
| 11005 | Other small states | OSS | 2001 | 49.804587 | 54.307600 |
| 11269 | Other small states | OSS | 2002 | 49.346359 | 55.255835 |
| 11533 | Other small states | OSS | 2003 | 48.857254 | 56.343819 |
| 11797 | Other small states | OSS | 2004 | 48.312971 | 57.503547 |
| 12061 | Other small states | OSS | 2005 | 47.677913 | 58.823598 |
| 12325 | Other small states | OSS | 2006 | 46.967464 | 60.219418 |
| 12589 | Other small states | OSS | 2007 | 46.205949 | 61.706664 |
| 12853 | Other small states | OSS | 2008 | 45.429452 | 62.810168 |
| 13117 | Other small states | OSS | 2009 | 44.697257 | 63.859033 |
| 13381 | Other small states | OSS | 2010 | 44.037631 | 64.480864 |
| 13645 | Other small states | OSS | 2011 | 43.452079 | 66.861158 |
| 13909 | Other small states | OSS | 2012 | 42.927411 | 67.983923 |
| 14173 | Other small states | OSS | 2013 | 42.447431 | 68.569250 |
| 14437 | Other small states | OSS | 2014 | 41.994082 | 70.407533 |
| 14701 | Other small states | OSS | 2015 | 41.556832 | 71.050874 |
| 14965 | Other small states | OSS | 2016 | 41.136719 | 71.729010 |
| 15229 | Other small states | OSS | 2017 | 40.737725 | NaN |
| 195 | Pacific island small states | PSS | 1960 | 77.556876 | NaN |
| 459 | Pacific island small states | PSS | 1961 | 77.120695 | NaN |
| 723 | Pacific island small states | PSS | 1962 | 76.673759 | NaN |
| 987 | Pacific island small states | PSS | 1963 | 76.224004 | NaN |
| 1251 | Pacific island small states | PSS | 1964 | 75.773516 | NaN |
| 1515 | Pacific island small states | PSS | 1965 | 75.330032 | NaN |
| 1779 | Pacific island small states | PSS | 1966 | 74.891786 | NaN |
| 2043 | Pacific island small states | PSS | 1967 | 74.539172 | NaN |
| 2307 | Pacific island small states | PSS | 1968 | 74.196599 | NaN |
| 2571 | Pacific island small states | PSS | 1969 | 73.842175 | NaN |
| 2835 | Pacific island small states | PSS | 1970 | 73.494230 | NaN |
| 3099 | Pacific island small states | PSS | 1971 | 73.169516 | NaN |
| 3363 | Pacific island small states | PSS | 1972 | 72.854133 | NaN |
| 3627 | Pacific island small states | PSS | 1973 | 72.544515 | NaN |
| 3891 | Pacific island small states | PSS | 1974 | 72.310555 | NaN |
| 4155 | Pacific island small states | PSS | 1975 | 72.103730 | NaN |
| 4419 | Pacific island small states | PSS | 1976 | 71.888482 | NaN |
| 4683 | Pacific island small states | PSS | 1977 | 71.738850 | NaN |
| 4947 | Pacific island small states | PSS | 1978 | 71.603876 | NaN |
| 5211 | Pacific island small states | PSS | 1979 | 71.459415 | NaN |
| 5475 | Pacific island small states | PSS | 1980 | 71.297608 | NaN |
| 5739 | Pacific island small states | PSS | 1981 | 71.093860 | NaN |
| 6003 | Pacific island small states | PSS | 1982 | 70.868186 | NaN |
| 6267 | Pacific island small states | PSS | 1983 | 70.635787 | NaN |
| 6531 | Pacific island small states | PSS | 1984 | 70.409086 | NaN |
| 6795 | Pacific island small states | PSS | 1985 | 70.196116 | NaN |
| 7059 | Pacific island small states | PSS | 1986 | 69.996378 | NaN |
| 7323 | Pacific island small states | PSS | 1987 | 69.621826 | NaN |
| 7587 | Pacific island small states | PSS | 1988 | 69.234426 | NaN |
| 7851 | Pacific island small states | PSS | 1989 | 68.861442 | NaN |
| 8115 | Pacific island small states | PSS | 1990 | 68.502031 | 44.755776 |
| 8379 | Pacific island small states | PSS | 1991 | 68.139306 | 45.687865 |
| 8643 | Pacific island small states | PSS | 1992 | 67.770698 | 46.645089 |
| 8907 | Pacific island small states | PSS | 1993 | 67.399947 | 47.604147 |
| 9171 | Pacific island small states | PSS | 1994 | 67.028862 | 48.761051 |
| 9435 | Pacific island small states | PSS | 1995 | 66.683564 | 49.507472 |
| 9699 | Pacific island small states | PSS | 1996 | 66.321282 | 49.343172 |
| 9963 | Pacific island small states | PSS | 1997 | 66.084629 | 51.497487 |
| 10227 | Pacific island small states | PSS | 1998 | 65.875006 | 52.500498 |
| 10491 | Pacific island small states | PSS | 1999 | 65.673001 | 56.166745 |
| 10755 | Pacific island small states | PSS | 2000 | 65.450297 | 55.178593 |
| 11019 | Pacific island small states | PSS | 2001 | 65.230950 | 56.508042 |
| 11283 | Pacific island small states | PSS | 2002 | 65.064914 | 58.372002 |
| 11547 | Pacific island small states | PSS | 2003 | 64.910260 | 59.232461 |
| 11811 | Pacific island small states | PSS | 2004 | 64.745631 | 60.351192 |
| 12075 | Pacific island small states | PSS | 2005 | 64.565075 | 62.018852 |
| 12339 | Pacific island small states | PSS | 2006 | 64.364068 | 61.365657 |
| 12603 | Pacific island small states | PSS | 2007 | 64.144160 | 63.289799 |
| 12867 | Pacific island small states | PSS | 2008 | 63.909508 | 65.777565 |
| 13131 | Pacific island small states | PSS | 2009 | 63.670800 | 65.202045 |
| 13395 | Pacific island small states | PSS | 2010 | 63.432014 | 68.566481 |
| 13659 | Pacific island small states | PSS | 2011 | 63.200371 | 70.510341 |
| 13923 | Pacific island small states | PSS | 2012 | 62.967399 | 72.004083 |
| 14187 | Pacific island small states | PSS | 2013 | 62.726070 | 72.806889 |
| 14451 | Pacific island small states | PSS | 2014 | 62.469724 | 75.017881 |
| 14715 | Pacific island small states | PSS | 2015 | 62.220966 | 79.515976 |
| 14979 | Pacific island small states | PSS | 2016 | 61.969395 | 79.548083 |
| 15243 | Pacific island small states | PSS | 2017 | 61.714637 | NaN |
| 182 | Pakistan | PAK | 1960 | 77.896000 | NaN |
| 446 | Pakistan | PAK | 1961 | 77.499000 | NaN |
| 710 | Pakistan | PAK | 1962 | 77.249000 | NaN |
| 974 | Pakistan | PAK | 1963 | 76.998000 | NaN |
| 1238 | Pakistan | PAK | 1964 | 76.744000 | NaN |
| 1502 | Pakistan | PAK | 1965 | 76.489000 | NaN |
| 1766 | Pakistan | PAK | 1966 | 76.231000 | NaN |
| 2030 | Pakistan | PAK | 1967 | 75.972000 | NaN |
| 2294 | Pakistan | PAK | 1968 | 75.711000 | NaN |
| 2558 | Pakistan | PAK | 1969 | 75.448000 | NaN |
| 2822 | Pakistan | PAK | 1970 | 75.183000 | NaN |
| 3086 | Pakistan | PAK | 1971 | 74.916000 | NaN |
| 3350 | Pakistan | PAK | 1972 | 74.647000 | NaN |
| 3614 | Pakistan | PAK | 1973 | 74.329000 | NaN |
| 3878 | Pakistan | PAK | 1974 | 73.995000 | NaN |
| 4142 | Pakistan | PAK | 1975 | 73.659000 | NaN |
| 4406 | Pakistan | PAK | 1976 | 73.319000 | NaN |
| 4670 | Pakistan | PAK | 1977 | 72.977000 | NaN |
| 4934 | Pakistan | PAK | 1978 | 72.632000 | NaN |
| 5198 | Pakistan | PAK | 1979 | 72.285000 | NaN |
| 5462 | Pakistan | PAK | 1980 | 71.934000 | NaN |
| 5726 | Pakistan | PAK | 1981 | 71.620000 | NaN |
| 5990 | Pakistan | PAK | 1982 | 71.381000 | NaN |
| 6254 | Pakistan | PAK | 1983 | 71.141000 | NaN |
| 6518 | Pakistan | PAK | 1984 | 70.899000 | NaN |
| 6782 | Pakistan | PAK | 1985 | 70.656000 | NaN |
| 7046 | Pakistan | PAK | 1986 | 70.412000 | NaN |
| 7310 | Pakistan | PAK | 1987 | 70.167000 | NaN |
| 7574 | Pakistan | PAK | 1988 | 69.920000 | NaN |
| 7838 | Pakistan | PAK | 1989 | 69.673000 | NaN |
| 8102 | Pakistan | PAK | 1990 | 69.424000 | 59.936604 |
| 8366 | Pakistan | PAK | 1991 | 69.174000 | 59.600000 |
| 8630 | Pakistan | PAK | 1992 | 68.923000 | 63.075237 |
| 8894 | Pakistan | PAK | 1993 | 68.671000 | 64.641243 |
| 9158 | Pakistan | PAK | 1994 | 68.418000 | 66.201126 |
| 9422 | Pakistan | PAK | 1995 | 68.164000 | 67.751831 |
| 9686 | Pakistan | PAK | 1996 | 67.908000 | 69.290306 |
| 9950 | Pakistan | PAK | 1997 | 67.652000 | 70.813477 |
| 10214 | Pakistan | PAK | 1998 | 67.395000 | 70.460000 |
| 10478 | Pakistan | PAK | 1999 | 67.126000 | 73.801712 |
| 10742 | Pakistan | PAK | 2000 | 66.845000 | 75.262161 |
| 11006 | Pakistan | PAK | 2001 | 66.554000 | 77.700000 |
| 11270 | Pakistan | PAK | 2002 | 66.250000 | 78.133904 |
| 11534 | Pakistan | PAK | 2003 | 65.935000 | 79.557320 |
| 11798 | Pakistan | PAK | 2004 | 65.608000 | 80.980515 |
| 12062 | Pakistan | PAK | 2005 | 65.270000 | 83.850000 |
| 12326 | Pakistan | PAK | 2006 | 64.920000 | 83.850494 |
| 12590 | Pakistan | PAK | 2007 | 64.558000 | 89.200000 |
| 12854 | Pakistan | PAK | 2008 | 64.184000 | 86.790833 |
| 13118 | Pakistan | PAK | 2009 | 63.799000 | 90.730000 |
| 13382 | Pakistan | PAK | 2010 | 63.402000 | 89.813774 |
| 13646 | Pakistan | PAK | 2011 | 62.993000 | 91.370000 |
| 13910 | Pakistan | PAK | 2012 | 62.572000 | 92.896790 |
| 14174 | Pakistan | PAK | 2013 | 62.140000 | 93.600000 |
| 14438 | Pakistan | PAK | 2014 | 61.697000 | 96.015854 |
| 14702 | Pakistan | PAK | 2015 | 61.242000 | 93.500000 |
| 14966 | Pakistan | PAK | 2016 | 60.776000 | 99.147438 |
| 15230 | Pakistan | PAK | 2017 | 60.300000 | NaN |
| 186 | Palau | PLW | 1960 | 43.177000 | NaN |
| 450 | Palau | PLW | 1961 | 42.886000 | NaN |
| 714 | Palau | PLW | 1962 | 42.595000 | NaN |
| 978 | Palau | PLW | 1963 | 42.304000 | NaN |
| 1242 | Palau | PLW | 1964 | 42.013000 | NaN |
| 1506 | Palau | PLW | 1965 | 41.724000 | NaN |
| 1770 | Palau | PLW | 1966 | 41.435000 | NaN |
| 2034 | Palau | PLW | 1967 | 41.147000 | NaN |
| 2298 | Palau | PLW | 1968 | 40.858000 | NaN |
| 2562 | Palau | PLW | 1969 | 40.571000 | NaN |
| 2826 | Palau | PLW | 1970 | 40.285000 | NaN |
| 3090 | Palau | PLW | 1971 | 39.999000 | NaN |
| 3354 | Palau | PLW | 1972 | 39.713000 | NaN |
| 3618 | Palau | PLW | 1973 | 39.429000 | NaN |
| 3882 | Palau | PLW | 1974 | 39.145000 | NaN |
| 4146 | Palau | PLW | 1975 | 38.862000 | NaN |
| 4410 | Palau | PLW | 1976 | 38.579000 | NaN |
| 4674 | Palau | PLW | 1977 | 38.298000 | NaN |
| 4938 | Palau | PLW | 1978 | 38.017000 | NaN |
| 5202 | Palau | PLW | 1979 | 37.737000 | NaN |
| 5466 | Palau | PLW | 1980 | 37.458000 | NaN |
| 5730 | Palau | PLW | 1981 | 36.591000 | NaN |
| 5994 | Palau | PLW | 1982 | 35.578000 | NaN |
| 6258 | Palau | PLW | 1983 | 34.579000 | NaN |
| 6522 | Palau | PLW | 1984 | 33.591000 | NaN |
| 6786 | Palau | PLW | 1985 | 32.620000 | NaN |
| 7050 | Palau | PLW | 1986 | 31.812000 | NaN |
| 7314 | Palau | PLW | 1987 | 31.459000 | NaN |
| 7578 | Palau | PLW | 1988 | 31.108000 | NaN |
| 7842 | Palau | PLW | 1989 | 30.760000 | NaN |
| 8106 | Palau | PLW | 1990 | 30.407000 | 97.470451 |
| 8370 | Palau | PLW | 1991 | 30.034000 | 97.601875 |
| 8634 | Palau | PLW | 1992 | 29.663000 | 97.732788 |
| 8898 | Palau | PLW | 1993 | 29.296000 | 97.860641 |
| 9162 | Palau | PLW | 1994 | 28.931000 | 97.982368 |
| 9426 | Palau | PLW | 1995 | 28.569000 | 98.094925 |
| 9690 | Palau | PLW | 1996 | 28.842000 | 98.195244 |
| 9954 | Palau | PLW | 1997 | 29.268000 | 98.280273 |
| 10218 | Palau | PLW | 1998 | 29.698000 | 98.346939 |
| 10482 | Palau | PLW | 1999 | 30.131000 | 98.392197 |
| 10746 | Palau | PLW | 2000 | 30.037000 | 98.414497 |
| 11010 | Palau | PLW | 2001 | 28.374000 | 98.418396 |
| 11274 | Palau | PLW | 2002 | 26.765000 | 98.409943 |
| 11538 | Palau | PLW | 2003 | 25.216000 | 98.395203 |
| 11802 | Palau | PLW | 2004 | 23.725000 | 98.380249 |
| 12066 | Palau | PLW | 2005 | 22.300000 | 98.916507 |
| 12330 | Palau | PLW | 2006 | 20.979000 | 98.373924 |
| 12594 | Palau | PLW | 2007 | 19.759000 | 98.394676 |
| 12858 | Palau | PLW | 2008 | 18.633000 | 98.437958 |
| 13122 | Palau | PLW | 2009 | 17.596000 | 98.502266 |
| 13386 | Palau | PLW | 2010 | 16.642000 | 98.584595 |
| 13650 | Palau | PLW | 2011 | 15.766000 | 98.681946 |
| 13914 | Palau | PLW | 2012 | 14.961000 | 97.630426 |
| 14178 | Palau | PLW | 2013 | 14.224000 | 98.909683 |
| 14442 | Palau | PLW | 2014 | 13.548000 | 99.810300 |
| 14706 | Palau | PLW | 2015 | 12.929000 | 99.161461 |
| 14970 | Palau | PLW | 2016 | 12.364000 | 99.289352 |
| 15234 | Palau | PLW | 2017 | 11.849000 | NaN |
| 183 | Panama | PAN | 1960 | 58.751000 | NaN |
| 447 | Panama | PAN | 1961 | 58.147000 | NaN |
| 711 | Panama | PAN | 1962 | 57.506000 | NaN |
| 975 | Panama | PAN | 1963 | 56.863000 | NaN |
| 1239 | Panama | PAN | 1964 | 56.216000 | NaN |
| 1503 | Panama | PAN | 1965 | 55.569000 | NaN |
| 1767 | Panama | PAN | 1966 | 54.920000 | NaN |
| 2031 | Panama | PAN | 1967 | 54.268000 | NaN |
| 2295 | Panama | PAN | 1968 | 53.615000 | NaN |
| 2559 | Panama | PAN | 1969 | 52.962000 | NaN |
| 2823 | Panama | PAN | 1970 | 52.360000 | NaN |
| 3087 | Panama | PAN | 1971 | 52.081000 | NaN |
| 3351 | Panama | PAN | 1972 | 51.801000 | NaN |
| 3615 | Panama | PAN | 1973 | 51.521000 | NaN |
| 3879 | Panama | PAN | 1974 | 51.241000 | NaN |
| 4143 | Panama | PAN | 1975 | 50.962000 | NaN |
| 4407 | Panama | PAN | 1976 | 50.681000 | NaN |
| 4671 | Panama | PAN | 1977 | 50.402000 | NaN |
| 4935 | Panama | PAN | 1978 | 50.121000 | NaN |
| 5199 | Panama | PAN | 1979 | 49.841000 | NaN |
| 5463 | Panama | PAN | 1980 | 49.553000 | NaN |
| 5727 | Panama | PAN | 1981 | 49.214000 | NaN |
| 5991 | Panama | PAN | 1982 | 48.874000 | NaN |
| 6255 | Panama | PAN | 1983 | 48.535000 | NaN |
| 6519 | Panama | PAN | 1984 | 48.195000 | NaN |
| 6783 | Panama | PAN | 1985 | 47.857000 | NaN |
| 7047 | Panama | PAN | 1986 | 47.518000 | NaN |
| 7311 | Panama | PAN | 1987 | 47.180000 | NaN |
| 7575 | Panama | PAN | 1988 | 46.841000 | NaN |
| 7839 | Panama | PAN | 1989 | 46.503000 | NaN |
| 8103 | Panama | PAN | 1990 | 46.097000 | 70.190000 |
| 8367 | Panama | PAN | 1991 | 45.243000 | 73.353561 |
| 8631 | Panama | PAN | 1992 | 44.391000 | 74.219543 |
| 8895 | Panama | PAN | 1993 | 43.544000 | 75.082466 |
| 9159 | Panama | PAN | 1994 | 42.699000 | 75.939270 |
| 9423 | Panama | PAN | 1995 | 41.859000 | 76.786896 |
| 9687 | Panama | PAN | 1996 | 41.022000 | 77.622284 |
| 9951 | Panama | PAN | 1997 | 40.193000 | 78.442383 |
| 10215 | Panama | PAN | 1998 | 39.368000 | 79.244125 |
| 10479 | Panama | PAN | 1999 | 38.549000 | 80.024452 |
| 10743 | Panama | PAN | 2000 | 37.802000 | 81.401410 |
| 11007 | Panama | PAN | 2001 | 37.506000 | 81.520782 |
| 11271 | Panama | PAN | 2002 | 37.211000 | 82.247406 |
| 11535 | Panama | PAN | 2003 | 36.917000 | 87.800000 |
| 11799 | Panama | PAN | 2004 | 36.623000 | 83.687851 |
| 12063 | Panama | PAN | 2005 | 36.331000 | 84.413803 |
| 12327 | Panama | PAN | 2006 | 36.040000 | 85.151665 |
| 12591 | Panama | PAN | 2007 | 35.749000 | 85.907494 |
| 12855 | Panama | PAN | 2008 | 35.460000 | 86.685844 |
| 13119 | Panama | PAN | 2009 | 35.172000 | 87.485222 |
| 13383 | Panama | PAN | 2010 | 34.885000 | 86.850000 |
| 13647 | Panama | PAN | 2011 | 34.595000 | 89.135040 |
| 13911 | Panama | PAN | 2012 | 34.302000 | 89.979477 |
| 14175 | Panama | PAN | 2013 | 34.006000 | 89.100000 |
| 14439 | Panama | PAN | 2014 | 33.708000 | 91.692383 |
| 14703 | Panama | PAN | 2015 | 33.408000 | 92.554840 |
| 14967 | Panama | PAN | 2016 | 33.105000 | 93.417801 |
| 15231 | Panama | PAN | 2017 | 32.800000 | NaN |
| 187 | Papua New Guinea | PNG | 1960 | 96.275000 | NaN |
| 451 | Papua New Guinea | PNG | 1961 | 95.976000 | NaN |
| 715 | Papua New Guinea | PNG | 1962 | 95.653000 | NaN |
| 979 | Papua New Guinea | PNG | 1963 | 95.306000 | NaN |
| 1243 | Papua New Guinea | PNG | 1964 | 94.931000 | NaN |
| 1507 | Papua New Guinea | PNG | 1965 | 94.530000 | NaN |
| 1771 | Papua New Guinea | PNG | 1966 | 94.098000 | NaN |
| 2035 | Papua New Guinea | PNG | 1967 | 93.288000 | NaN |
| 2299 | Papua New Guinea | PNG | 1968 | 92.375000 | NaN |
| 2563 | Papua New Guinea | PNG | 1969 | 91.351000 | NaN |
| 2827 | Papua New Guinea | PNG | 1970 | 90.204000 | NaN |
| 3091 | Papua New Guinea | PNG | 1971 | 88.922000 | NaN |
| 3355 | Papua New Guinea | PNG | 1972 | 88.700000 | NaN |
| 3619 | Papua New Guinea | PNG | 1973 | 88.493000 | NaN |
| 3883 | Papua New Guinea | PNG | 1974 | 88.283000 | NaN |
| 4147 | Papua New Guinea | PNG | 1975 | 88.070000 | NaN |
| 4411 | Papua New Guinea | PNG | 1976 | 87.853000 | NaN |
| 4675 | Papua New Guinea | PNG | 1977 | 87.634000 | NaN |
| 4939 | Papua New Guinea | PNG | 1978 | 87.410000 | NaN |
| 5203 | Papua New Guinea | PNG | 1979 | 87.183000 | NaN |
| 5467 | Papua New Guinea | PNG | 1980 | 86.953000 | NaN |
| 5731 | Papua New Guinea | PNG | 1981 | 86.758000 | NaN |
| 5995 | Papua New Guinea | PNG | 1982 | 86.572000 | NaN |
| 6259 | Papua New Guinea | PNG | 1983 | 86.384000 | NaN |
| 6523 | Papua New Guinea | PNG | 1984 | 86.194000 | NaN |
| 6787 | Papua New Guinea | PNG | 1985 | 86.002000 | NaN |
| 7051 | Papua New Guinea | PNG | 1986 | 85.807000 | NaN |
| 7315 | Papua New Guinea | PNG | 1987 | 85.610000 | NaN |
| 7579 | Papua New Guinea | PNG | 1988 | 85.411000 | NaN |
| 7843 | Papua New Guinea | PNG | 1989 | 85.209000 | NaN |
| 8107 | Papua New Guinea | PNG | 1990 | 85.006000 | 5.114664 |
| 8371 | Papua New Guinea | PNG | 1991 | 85.184000 | 5.861415 |
| 8635 | Papua New Guinea | PNG | 1992 | 85.371000 | 6.607656 |
| 8899 | Papua New Guinea | PNG | 1993 | 85.555000 | 7.350839 |
| 9163 | Papua New Guinea | PNG | 1994 | 85.738000 | 8.087903 |
| 9427 | Papua New Guinea | PNG | 1995 | 85.919000 | 8.815789 |
| 9691 | Papua New Guinea | PNG | 1996 | 86.099000 | 11.000000 |
| 9955 | Papua New Guinea | PNG | 1997 | 86.276000 | 10.231794 |
| 10219 | Papua New Guinea | PNG | 1998 | 86.451000 | 10.913795 |
| 10483 | Papua New Guinea | PNG | 1999 | 86.625000 | 11.574381 |
| 10747 | Papua New Guinea | PNG | 2000 | 86.796000 | 12.212015 |
| 11011 | Papua New Guinea | PNG | 2001 | 86.818000 | 12.831240 |
| 11275 | Papua New Guinea | PNG | 2002 | 86.836000 | 13.438117 |
| 11539 | Papua New Guinea | PNG | 2003 | 86.854000 | 14.038711 |
| 11803 | Papua New Guinea | PNG | 2004 | 86.873000 | 14.639083 |
| 12067 | Papua New Guinea | PNG | 2005 | 86.891000 | 15.245298 |
| 12331 | Papua New Guinea | PNG | 2006 | 86.909000 | 12.400000 |
| 12595 | Papua New Guinea | PNG | 2007 | 86.927000 | 16.499508 |
| 12859 | Papua New Guinea | PNG | 2008 | 86.945000 | 17.158117 |
| 13123 | Papua New Guinea | PNG | 2009 | 86.963000 | 17.837755 |
| 13387 | Papua New Guinea | PNG | 2010 | 86.981000 | 19.500000 |
| 13651 | Papua New Guinea | PNG | 2011 | 87.000000 | 19.248095 |
| 13915 | Papua New Guinea | PNG | 2012 | 87.018000 | 19.972792 |
| 14179 | Papua New Guinea | PNG | 2013 | 87.023000 | 20.706499 |
| 14443 | Papua New Guinea | PNG | 2014 | 87.015000 | 21.446215 |
| 14707 | Papua New Guinea | PNG | 2015 | 86.995000 | 22.188934 |
| 14971 | Papua New Guinea | PNG | 2016 | 86.961000 | 22.932154 |
| 15235 | Papua New Guinea | PNG | 2017 | 86.915000 | NaN |
| 193 | Paraguay | PRY | 1960 | 64.431000 | NaN |
| 457 | Paraguay | PRY | 1961 | 64.330000 | NaN |
| 721 | Paraguay | PRY | 1962 | 64.229000 | NaN |
| 985 | Paraguay | PRY | 1963 | 64.084000 | NaN |
| 1249 | Paraguay | PRY | 1964 | 63.921000 | NaN |
| 1513 | Paraguay | PRY | 1965 | 63.757000 | NaN |
| 1777 | Paraguay | PRY | 1966 | 63.593000 | NaN |
| 2041 | Paraguay | PRY | 1967 | 63.429000 | NaN |
| 2305 | Paraguay | PRY | 1968 | 63.265000 | NaN |
| 2569 | Paraguay | PRY | 1969 | 63.100000 | NaN |
| 2833 | Paraguay | PRY | 1970 | 62.935000 | NaN |
| 3097 | Paraguay | PRY | 1971 | 62.770000 | NaN |
| 3361 | Paraguay | PRY | 1972 | 62.604000 | NaN |
| 3625 | Paraguay | PRY | 1973 | 62.084000 | NaN |
| 3889 | Paraguay | PRY | 1974 | 61.553000 | NaN |
| 4153 | Paraguay | PRY | 1975 | 61.019000 | NaN |
| 4417 | Paraguay | PRY | 1976 | 60.482000 | NaN |
| 4681 | Paraguay | PRY | 1977 | 59.944000 | NaN |
| 4945 | Paraguay | PRY | 1978 | 59.402000 | NaN |
| 5209 | Paraguay | PRY | 1979 | 58.859000 | NaN |
| 5473 | Paraguay | PRY | 1980 | 58.312000 | NaN |
| 5737 | Paraguay | PRY | 1981 | 57.765000 | NaN |
| 6001 | Paraguay | PRY | 1982 | 57.215000 | NaN |
| 6265 | Paraguay | PRY | 1983 | 56.488000 | NaN |
| 6529 | Paraguay | PRY | 1984 | 55.753000 | NaN |
| 6793 | Paraguay | PRY | 1985 | 55.017000 | NaN |
| 7057 | Paraguay | PRY | 1986 | 54.278000 | NaN |
| 7321 | Paraguay | PRY | 1987 | 53.537000 | NaN |
| 7585 | Paraguay | PRY | 1988 | 52.793000 | NaN |
| 7849 | Paraguay | PRY | 1989 | 52.051000 | NaN |
| 8113 | Paraguay | PRY | 1990 | 51.306000 | 80.423729 |
| 8377 | Paraguay | PRY | 1991 | 50.561000 | 81.320145 |
| 8641 | Paraguay | PRY | 1992 | 49.814000 | 82.216057 |
| 8905 | Paraguay | PRY | 1993 | 49.156000 | 83.108902 |
| 9169 | Paraguay | PRY | 1994 | 48.512000 | 83.995636 |
| 9433 | Paraguay | PRY | 1995 | 47.869000 | 77.469114 |
| 9697 | Paraguay | PRY | 1996 | 47.226000 | 85.738503 |
| 9961 | Paraguay | PRY | 1997 | 46.586000 | 86.412854 |
| 10225 | Paraguay | PRY | 1998 | 45.946000 | 87.420189 |
| 10489 | Paraguay | PRY | 1999 | 45.307000 | 88.518177 |
| 10753 | Paraguay | PRY | 2000 | 44.669000 | 89.017738 |
| 11017 | Paraguay | PRY | 2001 | 44.034000 | 91.042070 |
| 11281 | Paraguay | PRY | 2002 | 43.400000 | 91.666443 |
| 11545 | Paraguay | PRY | 2003 | 43.107000 | 92.558399 |
| 11809 | Paraguay | PRY | 2004 | 42.878000 | 93.249876 |
| 12073 | Paraguay | PRY | 2005 | 42.650000 | 94.686886 |
| 12337 | Paraguay | PRY | 2006 | 42.422000 | 96.749045 |
| 12601 | Paraguay | PRY | 2007 | 42.194000 | 96.452771 |
| 12865 | Paraguay | PRY | 2008 | 41.966000 | 96.677896 |
| 13129 | Paraguay | PRY | 2009 | 41.740000 | 96.891335 |
| 13393 | Paraguay | PRY | 2010 | 41.513000 | 97.430860 |
| 13657 | Paraguay | PRY | 2011 | 41.286000 | 98.236560 |
| 13921 | Paraguay | PRY | 2012 | 41.060000 | 97.835616 |
| 14185 | Paraguay | PRY | 2013 | 40.826000 | 99.015884 |
| 14449 | Paraguay | PRY | 2014 | 40.584000 | 99.000716 |
| 14713 | Paraguay | PRY | 2015 | 40.334000 | 99.331532 |
| 14977 | Paraguay | PRY | 2016 | 40.076000 | 98.400000 |
| 15241 | Paraguay | PRY | 2017 | 39.810000 | NaN |
| 184 | Peru | PER | 1960 | 53.189000 | NaN |
| 448 | Peru | PER | 1961 | 52.602000 | NaN |
| 712 | Peru | PER | 1962 | 51.486000 | NaN |
| 976 | Peru | PER | 1963 | 50.368000 | NaN |
| 1240 | Peru | PER | 1964 | 49.248000 | NaN |
| 1504 | Peru | PER | 1965 | 48.132000 | NaN |
| 1768 | Peru | PER | 1966 | 47.017000 | NaN |
| 2032 | Peru | PER | 1967 | 45.904000 | NaN |
| 2296 | Peru | PER | 1968 | 44.793000 | NaN |
| 2560 | Peru | PER | 1969 | 43.691000 | NaN |
| 2824 | Peru | PER | 1970 | 42.594000 | NaN |
| 3088 | Peru | PER | 1971 | 41.504000 | NaN |
| 3352 | Peru | PER | 1972 | 40.453000 | NaN |
| 3616 | Peru | PER | 1973 | 39.812000 | NaN |
| 3880 | Peru | PER | 1974 | 39.173000 | NaN |
| 4144 | Peru | PER | 1975 | 38.539000 | NaN |
| 4408 | Peru | PER | 1976 | 37.907000 | NaN |
| 4672 | Peru | PER | 1977 | 37.281000 | NaN |
| 4936 | Peru | PER | 1978 | 36.659000 | NaN |
| 5200 | Peru | PER | 1979 | 36.040000 | NaN |
| 5464 | Peru | PER | 1980 | 35.426000 | NaN |
| 5728 | Peru | PER | 1981 | 34.818000 | NaN |
| 5992 | Peru | PER | 1982 | 34.390000 | NaN |
| 6256 | Peru | PER | 1983 | 33.969000 | NaN |
| 6520 | Peru | PER | 1984 | 33.551000 | NaN |
| 6784 | Peru | PER | 1985 | 33.136000 | NaN |
| 7048 | Peru | PER | 1986 | 32.723000 | NaN |
| 7312 | Peru | PER | 1987 | 32.313000 | NaN |
| 7576 | Peru | PER | 1988 | 31.905000 | NaN |
| 7840 | Peru | PER | 1989 | 31.501000 | NaN |
| 8104 | Peru | PER | 1990 | 31.099000 | 60.223789 |
| 8368 | Peru | PER | 1991 | 30.700000 | 61.617096 |
| 8632 | Peru | PER | 1992 | 30.303000 | 70.100000 |
| 8896 | Peru | PER | 1993 | 29.911000 | 64.399635 |
| 9160 | Peru | PER | 1994 | 29.479000 | 65.783257 |
| 9424 | Peru | PER | 1995 | 29.049000 | 67.157700 |
| 9688 | Peru | PER | 1996 | 28.623000 | 67.000000 |
| 9952 | Peru | PER | 1997 | 28.202000 | 69.160240 |
| 10216 | Peru | PER | 1998 | 27.784000 | 72.072063 |
| 10480 | Peru | PER | 1999 | 27.369000 | 74.078523 |
| 10744 | Peru | PER | 2000 | 26.958000 | 72.496495 |
| 11008 | Peru | PER | 2001 | 26.552000 | 72.113111 |
| 11272 | Peru | PER | 2002 | 26.150000 | 74.382688 |
| 11536 | Peru | PER | 2003 | 25.751000 | 74.380966 |
| 11800 | Peru | PER | 2004 | 25.356000 | 75.692357 |
| 12064 | Peru | PER | 2005 | 24.966000 | 77.173645 |
| 12328 | Peru | PER | 2006 | 24.579000 | 80.157275 |
| 12592 | Peru | PER | 2007 | 24.197000 | 81.988131 |
| 12856 | Peru | PER | 2008 | 23.818000 | 84.678343 |
| 13120 | Peru | PER | 2009 | 23.448000 | 86.424320 |
| 13384 | Peru | PER | 2010 | 23.085000 | 88.123061 |
| 13648 | Peru | PER | 2011 | 22.731000 | 89.707491 |
| 13912 | Peru | PER | 2012 | 22.384000 | 91.099508 |
| 14176 | Peru | PER | 2013 | 22.046000 | 92.135365 |
| 14440 | Peru | PER | 2014 | 21.715000 | 92.919989 |
| 14704 | Peru | PER | 2015 | 21.391000 | 93.852179 |
| 14968 | Peru | PER | 2016 | 21.076000 | 94.851746 |
| 15232 | Peru | PER | 2017 | 20.767000 | NaN |
| 185 | Philippines | PHL | 1960 | 69.703000 | NaN |
| 449 | Philippines | PHL | 1961 | 69.445000 | NaN |
| 713 | Philippines | PHL | 1962 | 69.184000 | NaN |
| 977 | Philippines | PHL | 1963 | 68.923000 | NaN |
| 1241 | Philippines | PHL | 1964 | 68.660000 | NaN |
| 1505 | Philippines | PHL | 1965 | 68.396000 | NaN |
| 1769 | Philippines | PHL | 1966 | 68.131000 | NaN |
| 2033 | Philippines | PHL | 1967 | 67.865000 | NaN |
| 2297 | Philippines | PHL | 1968 | 67.597000 | NaN |
| 2561 | Philippines | PHL | 1969 | 67.328000 | NaN |
| 2825 | Philippines | PHL | 1970 | 67.021000 | NaN |
| 3089 | Philippines | PHL | 1971 | 66.507000 | NaN |
| 3353 | Philippines | PHL | 1972 | 65.988000 | NaN |
| 3617 | Philippines | PHL | 1973 | 65.467000 | NaN |
| 3881 | Philippines | PHL | 1974 | 64.941000 | NaN |
| 4145 | Philippines | PHL | 1975 | 64.440000 | NaN |
| 4409 | Philippines | PHL | 1976 | 64.083000 | NaN |
| 4673 | Philippines | PHL | 1977 | 63.725000 | NaN |
| 4937 | Philippines | PHL | 1978 | 63.365000 | NaN |
| 5201 | Philippines | PHL | 1979 | 63.003000 | NaN |
| 5465 | Philippines | PHL | 1980 | 62.519000 | NaN |
| 5729 | Philippines | PHL | 1981 | 61.429000 | NaN |
| 5993 | Philippines | PHL | 1982 | 60.325000 | NaN |
| 6257 | Philippines | PHL | 1983 | 59.211000 | NaN |
| 6521 | Philippines | PHL | 1984 | 58.085000 | NaN |
| 6785 | Philippines | PHL | 1985 | 56.954000 | NaN |
| 7049 | Philippines | PHL | 1986 | 55.815000 | NaN |
| 7313 | Philippines | PHL | 1987 | 54.669000 | NaN |
| 7577 | Philippines | PHL | 1988 | 53.517000 | NaN |
| 7841 | Philippines | PHL | 1989 | 52.364000 | NaN |
| 8105 | Philippines | PHL | 1990 | 51.410000 | 62.114449 |
| 8369 | Philippines | PHL | 1991 | 51.470000 | 63.286186 |
| 8633 | Philippines | PHL | 1992 | 51.530000 | 64.457413 |
| 8897 | Philippines | PHL | 1993 | 51.590000 | 65.400000 |
| 9161 | Philippines | PHL | 1994 | 51.650000 | 66.787636 |
| 9425 | Philippines | PHL | 1995 | 51.710000 | 67.940514 |
| 9689 | Philippines | PHL | 1996 | 51.770000 | 69.081146 |
| 9953 | Philippines | PHL | 1997 | 51.830000 | 70.206490 |
| 10217 | Philippines | PHL | 1998 | 51.890000 | 71.300000 |
| 10481 | Philippines | PHL | 1999 | 51.950000 | 71.874171 |
| 10745 | Philippines | PHL | 2000 | 52.045000 | 73.461678 |
| 11009 | Philippines | PHL | 2001 | 52.316000 | 74.505890 |
| 11273 | Philippines | PHL | 2002 | 52.586000 | 75.537750 |
| 11537 | Philippines | PHL | 2003 | 52.857000 | 76.600000 |
| 11801 | Philippines | PHL | 2004 | 53.128000 | 77.588692 |
| 12065 | Philippines | PHL | 2005 | 53.397000 | 78.619896 |
| 12329 | Philippines | PHL | 2006 | 53.667000 | 79.663002 |
| 12593 | Philippines | PHL | 2007 | 53.937000 | 80.724083 |
| 12857 | Philippines | PHL | 2008 | 54.207000 | 83.300000 |
| 13121 | Philippines | PHL | 2009 | 54.476000 | 82.912300 |
| 13385 | Philippines | PHL | 2010 | 54.745000 | 84.034950 |
| 13649 | Philippines | PHL | 2011 | 54.983000 | 85.172623 |
| 13913 | Philippines | PHL | 2012 | 55.190000 | 86.322304 |
| 14177 | Philippines | PHL | 2013 | 55.367000 | 87.500000 |
| 14441 | Philippines | PHL | 2014 | 55.512000 | 88.645699 |
| 14705 | Philippines | PHL | 2015 | 55.627000 | 89.080000 |
| 14969 | Philippines | PHL | 2016 | 55.711000 | 90.981613 |
| 15233 | Philippines | PHL | 2017 | 55.765000 | NaN |
| 188 | Poland | POL | 1960 | 52.108000 | NaN |
| 452 | Poland | POL | 1961 | 51.473000 | NaN |
| 716 | Poland | POL | 1962 | 51.074000 | NaN |
| 980 | Poland | POL | 1963 | 50.674000 | NaN |
| 1244 | Poland | POL | 1964 | 50.273000 | NaN |
| 1508 | Poland | POL | 1965 | 49.874000 | NaN |
| 1772 | Poland | POL | 1966 | 49.474000 | NaN |
| 2036 | Poland | POL | 1967 | 49.074000 | NaN |
| 2300 | Poland | POL | 1968 | 48.674000 | NaN |
| 2564 | Poland | POL | 1969 | 48.274000 | NaN |
| 2828 | Poland | POL | 1970 | 47.875000 | NaN |
| 3092 | Poland | POL | 1971 | 47.332000 | NaN |
| 3356 | Poland | POL | 1972 | 46.676000 | NaN |
| 3620 | Poland | POL | 1973 | 46.023000 | NaN |
| 3884 | Poland | POL | 1974 | 45.371000 | NaN |
| 4148 | Poland | POL | 1975 | 44.720000 | NaN |
| 4412 | Poland | POL | 1976 | 44.071000 | NaN |
| 4676 | Poland | POL | 1977 | 43.425000 | NaN |
| 4940 | Poland | POL | 1978 | 42.780000 | NaN |
| 5204 | Poland | POL | 1979 | 42.288000 | NaN |
| 5468 | Poland | POL | 1980 | 41.914000 | NaN |
| 5732 | Poland | POL | 1981 | 41.541000 | NaN |
| 5996 | Poland | POL | 1982 | 41.169000 | NaN |
| 6260 | Poland | POL | 1983 | 40.798000 | NaN |
| 6524 | Poland | POL | 1984 | 40.427000 | NaN |
| 6788 | Poland | POL | 1985 | 40.058000 | NaN |
| 7052 | Poland | POL | 1986 | 39.690000 | NaN |
| 7316 | Poland | POL | 1987 | 39.324000 | NaN |
| 7580 | Poland | POL | 1988 | 38.957000 | NaN |
| 7844 | Poland | POL | 1989 | 38.775000 | NaN |
| 8108 | Poland | POL | 1990 | 38.730000 | 100.000000 |
| 8372 | Poland | POL | 1991 | 38.685000 | 100.000000 |
| 8636 | Poland | POL | 1992 | 38.641000 | 100.000000 |
| 8900 | Poland | POL | 1993 | 38.596000 | 100.000000 |
| 9164 | Poland | POL | 1994 | 38.551000 | 100.000000 |
| 9428 | Poland | POL | 1995 | 38.507000 | 100.000000 |
| 9692 | Poland | POL | 1996 | 38.462000 | 100.000000 |
| 9956 | Poland | POL | 1997 | 38.417000 | 100.000000 |
| 10220 | Poland | POL | 1998 | 38.373000 | 100.000000 |
| 10484 | Poland | POL | 1999 | 38.328000 | 100.000000 |
| 10748 | Poland | POL | 2000 | 38.284000 | 100.000000 |
| 11012 | Poland | POL | 2001 | 38.239000 | 100.000000 |
| 11276 | Poland | POL | 2002 | 38.213000 | 100.000000 |
| 11540 | Poland | POL | 2003 | 38.324000 | 100.000000 |
| 11804 | Poland | POL | 2004 | 38.436000 | 100.000000 |
| 12068 | Poland | POL | 2005 | 38.548000 | 100.000000 |
| 12332 | Poland | POL | 2006 | 38.659000 | 100.000000 |
| 12596 | Poland | POL | 2007 | 38.771000 | 100.000000 |
| 12860 | Poland | POL | 2008 | 38.884000 | 100.000000 |
| 13124 | Poland | POL | 2009 | 38.996000 | 100.000000 |
| 13388 | Poland | POL | 2010 | 39.108000 | 100.000000 |
| 13652 | Poland | POL | 2011 | 39.220000 | 100.000000 |
| 13916 | Poland | POL | 2012 | 39.312000 | 100.000000 |
| 14180 | Poland | POL | 2013 | 39.383000 | 100.000000 |
| 14444 | Poland | POL | 2014 | 39.432000 | 100.000000 |
| 14708 | Poland | POL | 2015 | 39.461000 | 100.000000 |
| 14972 | Poland | POL | 2016 | 39.469000 | 100.000000 |
| 15236 | Poland | POL | 2017 | 39.455000 | NaN |
| 192 | Portugal | PRT | 1960 | 65.045000 | NaN |
| 456 | Portugal | PRT | 1961 | 64.656000 | NaN |
| 720 | Portugal | PRT | 1962 | 64.278000 | NaN |
| 984 | Portugal | PRT | 1963 | 63.899000 | NaN |
| 1248 | Portugal | PRT | 1964 | 63.517000 | NaN |
| 1512 | Portugal | PRT | 1965 | 63.134000 | NaN |
| 1776 | Portugal | PRT | 1966 | 62.750000 | NaN |
| 2040 | Portugal | PRT | 1967 | 62.364000 | NaN |
| 2304 | Portugal | PRT | 1968 | 61.975000 | NaN |
| 2568 | Portugal | PRT | 1969 | 61.586000 | NaN |
| 2832 | Portugal | PRT | 1970 | 61.196000 | NaN |
| 3096 | Portugal | PRT | 1971 | 60.803000 | NaN |
| 3360 | Portugal | PRT | 1972 | 60.409000 | NaN |
| 3624 | Portugal | PRT | 1973 | 60.015000 | NaN |
| 3888 | Portugal | PRT | 1974 | 59.618000 | NaN |
| 4152 | Portugal | PRT | 1975 | 59.221000 | NaN |
| 4416 | Portugal | PRT | 1976 | 58.821000 | NaN |
| 4680 | Portugal | PRT | 1977 | 58.422000 | NaN |
| 4944 | Portugal | PRT | 1978 | 58.021000 | NaN |
| 5208 | Portugal | PRT | 1979 | 57.619000 | NaN |
| 5472 | Portugal | PRT | 1980 | 57.215000 | NaN |
| 5736 | Portugal | PRT | 1981 | 56.779000 | NaN |
| 6000 | Portugal | PRT | 1982 | 56.262000 | NaN |
| 6264 | Portugal | PRT | 1983 | 55.743000 | NaN |
| 6528 | Portugal | PRT | 1984 | 55.223000 | NaN |
| 6792 | Portugal | PRT | 1985 | 54.702000 | NaN |
| 7056 | Portugal | PRT | 1986 | 54.180000 | NaN |
| 7320 | Portugal | PRT | 1987 | 53.658000 | NaN |
| 7584 | Portugal | PRT | 1988 | 53.133000 | NaN |
| 7848 | Portugal | PRT | 1989 | 52.609000 | NaN |
| 8112 | Portugal | PRT | 1990 | 52.085000 | 100.000000 |
| 8376 | Portugal | PRT | 1991 | 51.531000 | 100.000000 |
| 8640 | Portugal | PRT | 1992 | 50.870000 | 100.000000 |
| 8904 | Portugal | PRT | 1993 | 50.211000 | 100.000000 |
| 9168 | Portugal | PRT | 1994 | 49.551000 | 100.000000 |
| 9432 | Portugal | PRT | 1995 | 48.891000 | 100.000000 |
| 9696 | Portugal | PRT | 1996 | 48.230000 | 100.000000 |
| 9960 | Portugal | PRT | 1997 | 47.572000 | 100.000000 |
| 10224 | Portugal | PRT | 1998 | 46.914000 | 100.000000 |
| 10488 | Portugal | PRT | 1999 | 46.257000 | 100.000000 |
| 10752 | Portugal | PRT | 2000 | 45.601000 | 100.000000 |
| 11016 | Portugal | PRT | 2001 | 44.956000 | 100.000000 |
| 11280 | Portugal | PRT | 2002 | 44.334000 | 100.000000 |
| 11544 | Portugal | PRT | 2003 | 43.713000 | 100.000000 |
| 11808 | Portugal | PRT | 2004 | 43.093000 | 100.000000 |
| 12072 | Portugal | PRT | 2005 | 42.478000 | 100.000000 |
| 12336 | Portugal | PRT | 2006 | 41.863000 | 100.000000 |
| 12600 | Portugal | PRT | 2007 | 41.251000 | 100.000000 |
| 12864 | Portugal | PRT | 2008 | 40.641000 | 100.000000 |
| 13128 | Portugal | PRT | 2009 | 40.036000 | 100.000000 |
| 13392 | Portugal | PRT | 2010 | 39.433000 | 100.000000 |
| 13656 | Portugal | PRT | 2011 | 38.833000 | 100.000000 |
| 13920 | Portugal | PRT | 2012 | 38.242000 | 100.000000 |
| 14184 | Portugal | PRT | 2013 | 37.662000 | 100.000000 |
| 14448 | Portugal | PRT | 2014 | 37.092000 | 100.000000 |
| 14712 | Portugal | PRT | 2015 | 36.532000 | 100.000000 |
| 14976 | Portugal | PRT | 2016 | 35.983000 | 100.000000 |
| 15240 | Portugal | PRT | 2017 | 35.444000 | NaN |
| 196 | Post-demographic dividend | PST | 1960 | 36.875041 | NaN |
| 460 | Post-demographic dividend | PST | 1961 | 36.355207 | NaN |
| 724 | Post-demographic dividend | PST | 1962 | 35.825151 | NaN |
| 988 | Post-demographic dividend | PST | 1963 | 35.276542 | NaN |
| 1252 | Post-demographic dividend | PST | 1964 | 34.728821 | NaN |
| 1516 | Post-demographic dividend | PST | 1965 | 34.178820 | NaN |
| 1780 | Post-demographic dividend | PST | 1966 | 33.642567 | NaN |
| 2044 | Post-demographic dividend | PST | 1967 | 33.100238 | NaN |
| 2308 | Post-demographic dividend | PST | 1968 | 32.569872 | NaN |
| 2572 | Post-demographic dividend | PST | 1969 | 32.059788 | NaN |
| 2836 | Post-demographic dividend | PST | 1970 | 31.573913 | NaN |
| 3100 | Post-demographic dividend | PST | 1971 | 31.162064 | NaN |
| 3364 | Post-demographic dividend | PST | 1972 | 30.780712 | NaN |
| 3628 | Post-demographic dividend | PST | 1973 | 30.412681 | NaN |
| 3892 | Post-demographic dividend | PST | 1974 | 30.040578 | NaN |
| 4156 | Post-demographic dividend | PST | 1975 | 29.692997 | NaN |
| 4420 | Post-demographic dividend | PST | 1976 | 29.420212 | NaN |
| 4684 | Post-demographic dividend | PST | 1977 | 29.157034 | NaN |
| 4948 | Post-demographic dividend | PST | 1978 | 28.893866 | NaN |
| 5212 | Post-demographic dividend | PST | 1979 | 28.629528 | NaN |
| 5476 | Post-demographic dividend | PST | 1980 | 28.365241 | NaN |
| 5740 | Post-demographic dividend | PST | 1981 | 28.078646 | NaN |
| 6004 | Post-demographic dividend | PST | 1982 | 27.827032 | NaN |
| 6268 | Post-demographic dividend | PST | 1983 | 27.593264 | NaN |
| 6532 | Post-demographic dividend | PST | 1984 | 27.372748 | NaN |
| 6796 | Post-demographic dividend | PST | 1985 | 27.159304 | NaN |
| 7060 | Post-demographic dividend | PST | 1986 | 26.916674 | NaN |
| 7324 | Post-demographic dividend | PST | 1987 | 26.690898 | NaN |
| 7588 | Post-demographic dividend | PST | 1988 | 26.373746 | NaN |
| 7852 | Post-demographic dividend | PST | 1989 | 26.145261 | NaN |
| 8116 | Post-demographic dividend | PST | 1990 | 25.909426 | 99.785432 |
| 8380 | Post-demographic dividend | PST | 1991 | 25.641934 | 99.802625 |
| 8644 | Post-demographic dividend | PST | 1992 | 25.389272 | 99.819805 |
| 8908 | Post-demographic dividend | PST | 1993 | 25.146584 | 99.836814 |
| 9172 | Post-demographic dividend | PST | 1994 | 24.903149 | 99.853485 |
| 9436 | Post-demographic dividend | PST | 1995 | 24.663346 | 99.864010 |
| 9700 | Post-demographic dividend | PST | 1996 | 24.433749 | 99.889071 |
| 9964 | Post-demographic dividend | PST | 1997 | 24.223324 | 99.901720 |
| 10228 | Post-demographic dividend | PST | 1998 | 24.012274 | 99.912924 |
| 10492 | Post-demographic dividend | PST | 1999 | 23.800123 | 99.922703 |
| 10756 | Post-demographic dividend | PST | 2000 | 23.587830 | 99.931886 |
| 11020 | Post-demographic dividend | PST | 2001 | 23.250061 | 99.940312 |
| 11284 | Post-demographic dividend | PST | 2002 | 22.851544 | 99.943082 |
| 11548 | Post-demographic dividend | PST | 2003 | 22.472152 | 99.950700 |
| 11812 | Post-demographic dividend | PST | 2004 | 22.106925 | 99.956597 |
| 12076 | Post-demographic dividend | PST | 2005 | 21.754054 | 99.976587 |
| 12340 | Post-demographic dividend | PST | 2006 | 21.432414 | 99.969761 |
| 12604 | Post-demographic dividend | PST | 2007 | 21.126867 | 99.982367 |
| 12868 | Post-demographic dividend | PST | 2008 | 20.828767 | 99.984671 |
| 13132 | Post-demographic dividend | PST | 2009 | 20.543172 | 99.991496 |
| 13396 | Post-demographic dividend | PST | 2010 | 20.265579 | 99.996270 |
| 13660 | Post-demographic dividend | PST | 2011 | 19.986174 | 99.997830 |
| 13924 | Post-demographic dividend | PST | 2012 | 19.727741 | 99.993951 |
| 14188 | Post-demographic dividend | PST | 2013 | 19.485768 | 99.999615 |
| 14452 | Post-demographic dividend | PST | 2014 | 19.249635 | 99.999665 |
| 14716 | Post-demographic dividend | PST | 2015 | 19.016382 | 99.999711 |
| 14980 | Post-demographic dividend | PST | 2016 | 18.788409 | 99.999758 |
| 15244 | Post-demographic dividend | PST | 2017 | 18.565399 | NaN |
| 189 | Pre-demographic dividend | PRE | 1960 | 86.639451 | NaN |
| 453 | Pre-demographic dividend | PRE | 1961 | 86.281988 | NaN |
| 717 | Pre-demographic dividend | PRE | 1962 | 85.912585 | NaN |
| 981 | Pre-demographic dividend | PRE | 1963 | 85.525013 | NaN |
| 1245 | Pre-demographic dividend | PRE | 1964 | 85.116995 | NaN |
| 1509 | Pre-demographic dividend | PRE | 1965 | 84.694496 | NaN |
| 1773 | Pre-demographic dividend | PRE | 1966 | 84.287939 | NaN |
| 2037 | Pre-demographic dividend | PRE | 1967 | 83.872722 | NaN |
| 2301 | Pre-demographic dividend | PRE | 1968 | 83.431678 | NaN |
| 2565 | Pre-demographic dividend | PRE | 1969 | 82.976181 | NaN |
| 2829 | Pre-demographic dividend | PRE | 1970 | 82.523591 | NaN |
| 3093 | Pre-demographic dividend | PRE | 1971 | 82.018499 | NaN |
| 3357 | Pre-demographic dividend | PRE | 1972 | 81.496557 | NaN |
| 3621 | Pre-demographic dividend | PRE | 1973 | 80.967962 | NaN |
| 3885 | Pre-demographic dividend | PRE | 1974 | 80.441882 | NaN |
| 4149 | Pre-demographic dividend | PRE | 1975 | 79.902907 | NaN |
| 4413 | Pre-demographic dividend | PRE | 1976 | 79.348937 | NaN |
| 4677 | Pre-demographic dividend | PRE | 1977 | 78.804482 | NaN |
| 4941 | Pre-demographic dividend | PRE | 1978 | 78.264953 | NaN |
| 5205 | Pre-demographic dividend | PRE | 1979 | 77.794224 | NaN |
| 5469 | Pre-demographic dividend | PRE | 1980 | 77.356879 | NaN |
| 5733 | Pre-demographic dividend | PRE | 1981 | 76.872897 | NaN |
| 5997 | Pre-demographic dividend | PRE | 1982 | 76.380982 | NaN |
| 6261 | Pre-demographic dividend | PRE | 1983 | 75.868275 | NaN |
| 6525 | Pre-demographic dividend | PRE | 1984 | 75.323572 | NaN |
| 6789 | Pre-demographic dividend | PRE | 1985 | 74.759904 | NaN |
| 7053 | Pre-demographic dividend | PRE | 1986 | 74.202182 | NaN |
| 7317 | Pre-demographic dividend | PRE | 1987 | 73.651007 | NaN |
| 7581 | Pre-demographic dividend | PRE | 1988 | 73.126464 | NaN |
| 7845 | Pre-demographic dividend | PRE | 1989 | 72.621787 | NaN |
| 8109 | Pre-demographic dividend | PRE | 1990 | 72.098447 | 16.046998 |
| 8373 | Pre-demographic dividend | PRE | 1991 | 71.689204 | 17.735053 |
| 8637 | Pre-demographic dividend | PRE | 1992 | 71.309054 | 18.653000 |
| 8901 | Pre-demographic dividend | PRE | 1993 | 70.939298 | 19.311713 |
| 9165 | Pre-demographic dividend | PRE | 1994 | 70.628061 | 19.748170 |
| 9429 | Pre-demographic dividend | PRE | 1995 | 70.313516 | 20.816293 |
| 9693 | Pre-demographic dividend | PRE | 1996 | 69.994389 | 21.762027 |
| 9957 | Pre-demographic dividend | PRE | 1997 | 69.654522 | 22.368705 |
| 10221 | Pre-demographic dividend | PRE | 1998 | 69.312648 | 23.307150 |
| 10485 | Pre-demographic dividend | PRE | 1999 | 68.967315 | 24.563422 |
| 10749 | Pre-demographic dividend | PRE | 2000 | 68.622506 | 24.651669 |
| 11013 | Pre-demographic dividend | PRE | 2001 | 68.207110 | 25.379151 |
| 11277 | Pre-demographic dividend | PRE | 2002 | 67.788091 | 26.153640 |
| 11541 | Pre-demographic dividend | PRE | 2003 | 67.350377 | 28.606330 |
| 11805 | Pre-demographic dividend | PRE | 2004 | 66.904442 | 28.027736 |
| 12069 | Pre-demographic dividend | PRE | 2005 | 66.442960 | 28.685157 |
| 12333 | Pre-demographic dividend | PRE | 2006 | 65.973494 | 29.941728 |
| 12597 | Pre-demographic dividend | PRE | 2007 | 65.493920 | 31.673724 |
| 12861 | Pre-demographic dividend | PRE | 2008 | 65.006299 | 31.786775 |
| 13125 | Pre-demographic dividend | PRE | 2009 | 64.510968 | 31.967594 |
| 13389 | Pre-demographic dividend | PRE | 2010 | 64.006456 | 32.009327 |
| 13653 | Pre-demographic dividend | PRE | 2011 | 63.496091 | 34.838213 |
| 13917 | Pre-demographic dividend | PRE | 2012 | 62.980388 | 36.098119 |
| 14181 | Pre-demographic dividend | PRE | 2013 | 62.461449 | 36.760315 |
| 14445 | Pre-demographic dividend | PRE | 2014 | 61.940769 | 39.186099 |
| 14709 | Pre-demographic dividend | PRE | 2015 | 61.419541 | 38.696300 |
| 14973 | Pre-demographic dividend | PRE | 2016 | 60.897802 | 43.037626 |
| 15237 | Pre-demographic dividend | PRE | 2017 | 60.376391 | NaN |
| 190 | Puerto Rico | PRI | 1960 | 55.453000 | NaN |
| 454 | Puerto Rico | PRI | 1961 | 54.067000 | NaN |
| 718 | Puerto Rico | PRI | 1962 | 52.673000 | NaN |
| 982 | Puerto Rico | PRI | 1963 | 51.276000 | NaN |
| 1246 | Puerto Rico | PRI | 1964 | 49.874000 | NaN |
| 1510 | Puerto Rico | PRI | 1965 | 48.476000 | NaN |
| 1774 | Puerto Rico | PRI | 1966 | 47.079000 | NaN |
| 2038 | Puerto Rico | PRI | 1967 | 45.686000 | NaN |
| 2302 | Puerto Rico | PRI | 1968 | 44.298000 | NaN |
| 2566 | Puerto Rico | PRI | 1969 | 42.923000 | NaN |
| 2830 | Puerto Rico | PRI | 1970 | 41.672000 | NaN |
| 3094 | Puerto Rico | PRI | 1971 | 40.770000 | NaN |
| 3358 | Puerto Rico | PRI | 1972 | 39.873000 | NaN |
| 3622 | Puerto Rico | PRI | 1973 | 38.986000 | NaN |
| 3886 | Puerto Rico | PRI | 1974 | 38.104000 | NaN |
| 4150 | Puerto Rico | PRI | 1975 | 37.230000 | NaN |
| 4414 | Puerto Rico | PRI | 1976 | 36.363000 | NaN |
| 4678 | Puerto Rico | PRI | 1977 | 35.508000 | NaN |
| 4942 | Puerto Rico | PRI | 1978 | 34.660000 | NaN |
| 5206 | Puerto Rico | PRI | 1979 | 33.822000 | NaN |
| 5470 | Puerto Rico | PRI | 1980 | 32.165000 | NaN |
| 5734 | Puerto Rico | PRI | 1981 | 28.228000 | NaN |
| 5998 | Puerto Rico | PRI | 1982 | 24.594000 | NaN |
| 6262 | Puerto Rico | PRI | 1983 | 21.289000 | NaN |
| 6526 | Puerto Rico | PRI | 1984 | 18.316000 | NaN |
| 6790 | Puerto Rico | PRI | 1985 | 15.683000 | NaN |
| 7054 | Puerto Rico | PRI | 1986 | 13.363000 | NaN |
| 7318 | Puerto Rico | PRI | 1987 | 11.340000 | NaN |
| 7582 | Puerto Rico | PRI | 1988 | 9.587000 | NaN |
| 7846 | Puerto Rico | PRI | 1989 | 8.085000 | NaN |
| 8110 | Puerto Rico | PRI | 1990 | 7.058000 | NaN |
| 8374 | Puerto Rico | PRI | 1991 | 6.894000 | NaN |
| 8638 | Puerto Rico | PRI | 1992 | 6.733000 | NaN |
| 8902 | Puerto Rico | PRI | 1993 | 6.576000 | NaN |
| 9166 | Puerto Rico | PRI | 1994 | 6.422000 | NaN |
| 9430 | Puerto Rico | PRI | 1995 | 6.271000 | NaN |
| 9694 | Puerto Rico | PRI | 1996 | 6.124000 | NaN |
| 9958 | Puerto Rico | PRI | 1997 | 5.980000 | NaN |
| 10222 | Puerto Rico | PRI | 1998 | 5.839000 | NaN |
| 10486 | Puerto Rico | PRI | 1999 | 5.702000 | NaN |
| 10750 | Puerto Rico | PRI | 2000 | 5.613000 | NaN |
| 11014 | Puerto Rico | PRI | 2001 | 5.667000 | NaN |
| 11278 | Puerto Rico | PRI | 2002 | 5.722000 | 100.000000 |
| 11542 | Puerto Rico | PRI | 2003 | 5.776000 | 100.000000 |
| 11806 | Puerto Rico | PRI | 2004 | 5.832000 | 100.000000 |
| 12070 | Puerto Rico | PRI | 2005 | 5.888000 | 100.000000 |
| 12334 | Puerto Rico | PRI | 2006 | 5.944000 | 100.000000 |
| 12598 | Puerto Rico | PRI | 2007 | 6.001000 | 100.000000 |
| 12862 | Puerto Rico | PRI | 2008 | 6.058000 | 100.000000 |
| 13126 | Puerto Rico | PRI | 2009 | 6.116000 | 100.000000 |
| 13390 | Puerto Rico | PRI | 2010 | 6.175000 | 100.000000 |
| 13654 | Puerto Rico | PRI | 2011 | 6.229000 | 100.000000 |
| 13918 | Puerto Rico | PRI | 2012 | 6.278000 | 100.000000 |
| 14182 | Puerto Rico | PRI | 2013 | 6.324000 | 100.000000 |
| 14446 | Puerto Rico | PRI | 2014 | 6.364000 | 100.000000 |
| 14710 | Puerto Rico | PRI | 2015 | 6.400000 | 100.000000 |
| 14974 | Puerto Rico | PRI | 2016 | 6.431000 | 100.000000 |
| 15238 | Puerto Rico | PRI | 2017 | 6.457000 | NaN |
| 198 | Qatar | QAT | 1960 | 14.725000 | NaN |
| 462 | Qatar | QAT | 1961 | 14.307000 | NaN |
| 726 | Qatar | QAT | 1962 | 13.899000 | NaN |
| 990 | Qatar | QAT | 1963 | 13.500000 | NaN |
| 1254 | Qatar | QAT | 1964 | 13.220000 | NaN |
| 1518 | Qatar | QAT | 1965 | 12.946000 | NaN |
| 1782 | Qatar | QAT | 1966 | 12.677000 | NaN |
| 2046 | Qatar | QAT | 1967 | 12.412000 | NaN |
| 2310 | Qatar | QAT | 1968 | 12.152000 | NaN |
| 2574 | Qatar | QAT | 1969 | 11.897000 | NaN |
| 2838 | Qatar | QAT | 1970 | 11.646000 | NaN |
| 3102 | Qatar | QAT | 1971 | 11.400000 | NaN |
| 3366 | Qatar | QAT | 1972 | 11.322000 | NaN |
| 3630 | Qatar | QAT | 1973 | 11.245000 | NaN |
| 3894 | Qatar | QAT | 1974 | 11.168000 | NaN |
| 4158 | Qatar | QAT | 1975 | 11.091000 | NaN |
| 4422 | Qatar | QAT | 1976 | 11.015000 | NaN |
| 4686 | Qatar | QAT | 1977 | 10.940000 | NaN |
| 4950 | Qatar | QAT | 1978 | 10.865000 | NaN |
| 5214 | Qatar | QAT | 1979 | 10.790000 | NaN |
| 5478 | Qatar | QAT | 1980 | 10.637000 | NaN |
| 5742 | Qatar | QAT | 1981 | 10.486000 | NaN |
| 6006 | Qatar | QAT | 1982 | 10.337000 | NaN |
| 6270 | Qatar | QAT | 1983 | 10.189000 | NaN |
| 6534 | Qatar | QAT | 1984 | 10.044000 | NaN |
| 6798 | Qatar | QAT | 1985 | 9.900000 | NaN |
| 7062 | Qatar | QAT | 1986 | 9.600000 | NaN |
| 7326 | Qatar | QAT | 1987 | 8.944000 | NaN |
| 7590 | Qatar | QAT | 1988 | 8.329000 | NaN |
| 7854 | Qatar | QAT | 1989 | 7.753000 | NaN |
| 8118 | Qatar | QAT | 1990 | 7.214000 | 100.000000 |
| 8382 | Qatar | QAT | 1991 | 6.709000 | 100.000000 |
| 8646 | Qatar | QAT | 1992 | 6.237000 | 100.000000 |
| 8910 | Qatar | QAT | 1993 | 5.797000 | 100.000000 |
| 9174 | Qatar | QAT | 1994 | 5.386000 | 100.000000 |
| 9438 | Qatar | QAT | 1995 | 5.002000 | 100.000000 |
| 9702 | Qatar | QAT | 1996 | 4.644000 | 100.000000 |
| 9966 | Qatar | QAT | 1997 | 4.341000 | 100.000000 |
| 10230 | Qatar | QAT | 1998 | 4.112000 | 100.000000 |
| 10494 | Qatar | QAT | 1999 | 3.895000 | 100.000000 |
| 10758 | Qatar | QAT | 2000 | 3.689000 | 100.000000 |
| 11022 | Qatar | QAT | 2001 | 3.494000 | 100.000000 |
| 11286 | Qatar | QAT | 2002 | 3.308000 | 100.000000 |
| 11550 | Qatar | QAT | 2003 | 3.132000 | 100.000000 |
| 11814 | Qatar | QAT | 2004 | 2.895000 | 100.000000 |
| 12078 | Qatar | QAT | 2005 | 2.551000 | 100.000000 |
| 12342 | Qatar | QAT | 2006 | 2.246000 | 100.000000 |
| 12606 | Qatar | QAT | 2007 | 1.977000 | 100.000000 |
| 12870 | Qatar | QAT | 2008 | 1.739000 | 100.000000 |
| 13134 | Qatar | QAT | 2009 | 1.530000 | 100.000000 |
| 13398 | Qatar | QAT | 2010 | 1.345000 | 100.000000 |
| 13662 | Qatar | QAT | 2011 | 1.188000 | 100.000000 |
| 13926 | Qatar | QAT | 2012 | 1.054000 | 100.000000 |
| 14190 | Qatar | QAT | 2013 | 0.939000 | 100.000000 |
| 14454 | Qatar | QAT | 2014 | 0.841000 | 100.000000 |
| 14718 | Qatar | QAT | 2015 | 0.756000 | 100.000000 |
| 14982 | Qatar | QAT | 2016 | 0.683000 | 100.000000 |
| 15246 | Qatar | QAT | 2017 | 0.619000 | NaN |
| 199 | Romania | ROU | 1960 | 65.791000 | NaN |
| 463 | Romania | ROU | 1961 | 65.106000 | NaN |
| 727 | Romania | ROU | 1962 | 64.414000 | NaN |
| 991 | Romania | ROU | 1963 | 63.716000 | NaN |
| 1255 | Romania | ROU | 1964 | 63.011000 | NaN |
| 1519 | Romania | ROU | 1965 | 62.303000 | NaN |
| 1783 | Romania | ROU | 1966 | 61.655000 | NaN |
| 2047 | Romania | ROU | 1967 | 61.165000 | NaN |
| 2311 | Romania | ROU | 1968 | 60.672000 | NaN |
| 2575 | Romania | ROU | 1969 | 60.178000 | NaN |
| 2839 | Romania | ROU | 1970 | 59.681000 | NaN |
| 3103 | Romania | ROU | 1971 | 59.182000 | NaN |
| 3367 | Romania | ROU | 1972 | 58.681000 | NaN |
| 3631 | Romania | ROU | 1973 | 58.179000 | NaN |
| 3895 | Romania | ROU | 1974 | 57.675000 | NaN |
| 4159 | Romania | ROU | 1975 | 57.169000 | NaN |
| 4423 | Romania | ROU | 1976 | 56.661000 | NaN |
| 4687 | Romania | ROU | 1977 | 56.058000 | NaN |
| 4951 | Romania | ROU | 1978 | 55.351000 | NaN |
| 5215 | Romania | ROU | 1979 | 54.642000 | NaN |
| 5479 | Romania | ROU | 1980 | 53.930000 | NaN |
| 5743 | Romania | ROU | 1981 | 53.219000 | NaN |
| 6007 | Romania | ROU | 1982 | 52.505000 | NaN |
| 6271 | Romania | ROU | 1983 | 51.790000 | NaN |
| 6535 | Romania | ROU | 1984 | 51.074000 | NaN |
| 6799 | Romania | ROU | 1985 | 50.359000 | NaN |
| 7063 | Romania | ROU | 1986 | 49.643000 | NaN |
| 7327 | Romania | ROU | 1987 | 48.927000 | NaN |
| 7591 | Romania | ROU | 1988 | 48.210000 | NaN |
| 7855 | Romania | ROU | 1989 | 47.496000 | NaN |
| 8119 | Romania | ROU | 1990 | 46.783000 | 100.000000 |
| 8383 | Romania | ROU | 1991 | 46.070000 | 100.000000 |
| 8647 | Romania | ROU | 1992 | 45.773000 | 100.000000 |
| 8911 | Romania | ROU | 1993 | 45.926000 | 100.000000 |
| 9175 | Romania | ROU | 1994 | 46.078000 | 100.000000 |
| 9439 | Romania | ROU | 1995 | 46.231000 | 100.000000 |
| 9703 | Romania | ROU | 1996 | 46.384000 | 100.000000 |
| 9967 | Romania | ROU | 1997 | 46.537000 | 100.000000 |
| 10231 | Romania | ROU | 1998 | 46.689000 | 100.000000 |
| 10495 | Romania | ROU | 1999 | 46.842000 | 100.000000 |
| 10759 | Romania | ROU | 2000 | 46.996000 | 100.000000 |
| 11023 | Romania | ROU | 2001 | 47.148000 | 100.000000 |
| 11287 | Romania | ROU | 2002 | 47.220000 | 100.000000 |
| 11551 | Romania | ROU | 2003 | 47.088000 | 100.000000 |
| 11815 | Romania | ROU | 2004 | 46.957000 | 100.000000 |
| 12079 | Romania | ROU | 2005 | 46.826000 | 100.000000 |
| 12343 | Romania | ROU | 2006 | 46.695000 | 100.000000 |
| 12607 | Romania | ROU | 2007 | 46.564000 | 100.000000 |
| 12871 | Romania | ROU | 2008 | 46.433000 | 100.000000 |
| 13135 | Romania | ROU | 2009 | 46.302000 | 100.000000 |
| 13399 | Romania | ROU | 2010 | 46.171000 | 100.000000 |
| 13663 | Romania | ROU | 2011 | 46.040000 | 100.000000 |
| 13927 | Romania | ROU | 2012 | 45.909000 | 100.000000 |
| 14191 | Romania | ROU | 2013 | 45.765000 | 100.000000 |
| 14455 | Romania | ROU | 2014 | 45.607000 | 100.000000 |
| 14719 | Romania | ROU | 2015 | 45.436000 | 100.000000 |
| 14983 | Romania | ROU | 2016 | 45.251000 | 100.000000 |
| 15247 | Romania | ROU | 2017 | 45.053000 | NaN |
| 200 | Russian Federation | RUS | 1960 | 46.269000 | NaN |
| 464 | Russian Federation | RUS | 1961 | 45.374000 | NaN |
| 728 | Russian Federation | RUS | 1962 | 44.482000 | NaN |
| 992 | Russian Federation | RUS | 1963 | 43.592000 | NaN |
| 1256 | Russian Federation | RUS | 1964 | 42.706000 | NaN |
| 1520 | Russian Federation | RUS | 1965 | 41.827000 | NaN |
| 1784 | Russian Federation | RUS | 1966 | 40.952000 | NaN |
| 2048 | Russian Federation | RUS | 1967 | 40.082000 | NaN |
| 2312 | Russian Federation | RUS | 1968 | 39.217000 | NaN |
| 2576 | Russian Federation | RUS | 1969 | 38.362000 | NaN |
| 2840 | Russian Federation | RUS | 1970 | 37.529000 | NaN |
| 3104 | Russian Federation | RUS | 1971 | 36.722000 | NaN |
| 3368 | Russian Federation | RUS | 1972 | 35.922000 | NaN |
| 3632 | Russian Federation | RUS | 1973 | 35.131000 | NaN |
| 3896 | Russian Federation | RUS | 1974 | 34.348000 | NaN |
| 4160 | Russian Federation | RUS | 1975 | 33.573000 | NaN |
| 4424 | Russian Federation | RUS | 1976 | 32.806000 | NaN |
| 4688 | Russian Federation | RUS | 1977 | 32.050000 | NaN |
| 4952 | Russian Federation | RUS | 1978 | 31.302000 | NaN |
| 5216 | Russian Federation | RUS | 1979 | 30.695000 | NaN |
| 5480 | Russian Federation | RUS | 1980 | 30.249000 | NaN |
| 5744 | Russian Federation | RUS | 1981 | 29.807000 | NaN |
| 6008 | Russian Federation | RUS | 1982 | 29.369000 | NaN |
| 6272 | Russian Federation | RUS | 1983 | 28.934000 | NaN |
| 6536 | Russian Federation | RUS | 1984 | 28.503000 | NaN |
| 6800 | Russian Federation | RUS | 1985 | 28.077000 | NaN |
| 7064 | Russian Federation | RUS | 1986 | 27.654000 | NaN |
| 7328 | Russian Federation | RUS | 1987 | 27.235000 | NaN |
| 7592 | Russian Federation | RUS | 1988 | 26.819000 | NaN |
| 7856 | Russian Federation | RUS | 1989 | 26.602000 | NaN |
| 8120 | Russian Federation | RUS | 1990 | 26.606000 | 100.000000 |
| 8384 | Russian Federation | RUS | 1991 | 26.611000 | 100.000000 |
| 8648 | Russian Federation | RUS | 1992 | 26.615000 | 100.000000 |
| 8912 | Russian Federation | RUS | 1993 | 26.619000 | 100.000000 |
| 9176 | Russian Federation | RUS | 1994 | 26.624000 | 100.000000 |
| 9440 | Russian Federation | RUS | 1995 | 26.628000 | 100.000000 |
| 9704 | Russian Federation | RUS | 1996 | 26.633000 | 100.000000 |
| 9968 | Russian Federation | RUS | 1997 | 26.637000 | 100.000000 |
| 10232 | Russian Federation | RUS | 1998 | 26.641000 | 100.000000 |
| 10496 | Russian Federation | RUS | 1999 | 26.646000 | 100.000000 |
| 10760 | Russian Federation | RUS | 2000 | 26.650000 | 100.000000 |
| 11024 | Russian Federation | RUS | 2001 | 26.654000 | 100.000000 |
| 11288 | Russian Federation | RUS | 2002 | 26.659000 | 100.000000 |
| 11552 | Russian Federation | RUS | 2003 | 26.627000 | 100.000000 |
| 11816 | Russian Federation | RUS | 2004 | 26.582000 | 100.000000 |
| 12080 | Russian Federation | RUS | 2005 | 26.537000 | 100.000000 |
| 12344 | Russian Federation | RUS | 2006 | 26.492000 | 100.000000 |
| 12608 | Russian Federation | RUS | 2007 | 26.447000 | 100.000000 |
| 12872 | Russian Federation | RUS | 2008 | 26.402000 | 100.000000 |
| 13136 | Russian Federation | RUS | 2009 | 26.358000 | 100.000000 |
| 13400 | Russian Federation | RUS | 2010 | 26.313000 | 100.000000 |
| 13664 | Russian Federation | RUS | 2011 | 26.268000 | 100.000000 |
| 13928 | Russian Federation | RUS | 2012 | 26.214000 | 100.000000 |
| 14192 | Russian Federation | RUS | 2013 | 26.149000 | 100.000000 |
| 14456 | Russian Federation | RUS | 2014 | 26.076000 | 100.000000 |
| 14720 | Russian Federation | RUS | 2015 | 25.992000 | 100.000000 |
| 14984 | Russian Federation | RUS | 2016 | 25.899000 | 100.000000 |
| 15248 | Russian Federation | RUS | 2017 | 25.797000 | NaN |
| 201 | Rwanda | RWA | 1960 | 97.400000 | NaN |
| 465 | Rwanda | RWA | 1961 | 97.346000 | NaN |
| 729 | Rwanda | RWA | 1962 | 97.290000 | NaN |
| 993 | Rwanda | RWA | 1963 | 97.234000 | NaN |
| 1257 | Rwanda | RWA | 1964 | 97.176000 | NaN |
| 1521 | Rwanda | RWA | 1965 | 97.118000 | NaN |
| 1785 | Rwanda | RWA | 1966 | 97.058000 | NaN |
| 2049 | Rwanda | RWA | 1967 | 96.997000 | NaN |
| 2313 | Rwanda | RWA | 1968 | 96.934000 | NaN |
| 2577 | Rwanda | RWA | 1969 | 96.871000 | NaN |
| 2841 | Rwanda | RWA | 1970 | 96.806000 | NaN |
| 3105 | Rwanda | RWA | 1971 | 96.664000 | NaN |
| 3369 | Rwanda | RWA | 1972 | 96.509000 | NaN |
| 3633 | Rwanda | RWA | 1973 | 96.348000 | NaN |
| 3897 | Rwanda | RWA | 1974 | 96.179000 | NaN |
| 4161 | Rwanda | RWA | 1975 | 96.002000 | NaN |
| 4425 | Rwanda | RWA | 1976 | 95.818000 | NaN |
| 4689 | Rwanda | RWA | 1977 | 95.626000 | NaN |
| 4953 | Rwanda | RWA | 1978 | 95.425000 | NaN |
| 5217 | Rwanda | RWA | 1979 | 95.344000 | NaN |
| 5481 | Rwanda | RWA | 1980 | 95.279000 | NaN |
| 5745 | Rwanda | RWA | 1981 | 95.214000 | NaN |
| 6009 | Rwanda | RWA | 1982 | 95.147000 | NaN |
| 6273 | Rwanda | RWA | 1983 | 95.080000 | NaN |
| 6537 | Rwanda | RWA | 1984 | 95.012000 | NaN |
| 6801 | Rwanda | RWA | 1985 | 94.943000 | NaN |
| 7065 | Rwanda | RWA | 1986 | 94.873000 | NaN |
| 7329 | Rwanda | RWA | 1987 | 94.802000 | NaN |
| 7593 | Rwanda | RWA | 1988 | 94.730000 | NaN |
| 7857 | Rwanda | RWA | 1989 | 94.658000 | NaN |
| 8121 | Rwanda | RWA | 1990 | 94.584000 | 0.010000 |
| 8385 | Rwanda | RWA | 1991 | 94.509000 | 0.010000 |
| 8649 | Rwanda | RWA | 1992 | 93.712000 | 2.300000 |
| 8913 | Rwanda | RWA | 1993 | 92.687000 | 0.042772 |
| 9177 | Rwanda | RWA | 1994 | 91.510000 | 0.188256 |
| 9441 | Rwanda | RWA | 1995 | 90.163000 | 0.577478 |
| 9705 | Rwanda | RWA | 1996 | 88.626000 | 1.162303 |
| 9969 | Rwanda | RWA | 1997 | 87.534000 | 2.141790 |
| 10233 | Rwanda | RWA | 1998 | 86.756000 | 3.102923 |
| 10497 | Rwanda | RWA | 1999 | 85.936000 | 4.042642 |
| 10761 | Rwanda | RWA | 2000 | 85.074000 | 6.200000 |
| 11025 | Rwanda | RWA | 2001 | 84.171000 | 5.857766 |
| 11289 | Rwanda | RWA | 2002 | 83.223000 | 6.743775 |
| 11553 | Rwanda | RWA | 2003 | 82.402000 | 7.623502 |
| 11817 | Rwanda | RWA | 2004 | 81.574000 | 8.503007 |
| 12081 | Rwanda | RWA | 2005 | 80.718000 | 4.800000 |
| 12345 | Rwanda | RWA | 2006 | 79.832000 | 10.285608 |
| 12609 | Rwanda | RWA | 2007 | 78.915000 | 11.200830 |
| 12873 | Rwanda | RWA | 2008 | 77.967000 | 6.000000 |
| 13137 | Rwanda | RWA | 2009 | 77.012000 | 13.097342 |
| 13401 | Rwanda | RWA | 2010 | 76.048000 | 9.700000 |
| 13665 | Rwanda | RWA | 2011 | 75.078000 | 10.800000 |
| 13929 | Rwanda | RWA | 2012 | 74.106000 | 16.069777 |
| 14193 | Rwanda | RWA | 2013 | 73.131000 | 15.200000 |
| 14457 | Rwanda | RWA | 2014 | 72.159000 | 19.800000 |
| 14721 | Rwanda | RWA | 2015 | 71.189000 | 22.800000 |
| 14985 | Rwanda | RWA | 2016 | 70.225000 | 29.370000 |
| 15249 | Rwanda | RWA | 2017 | 69.269000 | NaN |
| 258 | Samoa | WSM | 1960 | 81.074000 | NaN |
| 522 | Samoa | WSM | 1961 | 81.014000 | NaN |
| 786 | Samoa | WSM | 1962 | 80.939000 | NaN |
| 1050 | Samoa | WSM | 1963 | 80.859000 | NaN |
| 1314 | Samoa | WSM | 1964 | 80.779000 | NaN |
| 1578 | Samoa | WSM | 1965 | 80.699000 | NaN |
| 1842 | Samoa | WSM | 1966 | 80.618000 | NaN |
| 2106 | Samoa | WSM | 1967 | 80.407000 | NaN |
| 2370 | Samoa | WSM | 1968 | 80.156000 | NaN |
| 2634 | Samoa | WSM | 1969 | 79.903000 | NaN |
| 2898 | Samoa | WSM | 1970 | 79.647000 | NaN |
| 3162 | Samoa | WSM | 1971 | 79.389000 | NaN |
| 3426 | Samoa | WSM | 1972 | 79.248000 | NaN |
| 3690 | Samoa | WSM | 1973 | 79.168000 | NaN |
| 3954 | Samoa | WSM | 1974 | 79.088000 | NaN |
| 4218 | Samoa | WSM | 1975 | 79.008000 | NaN |
| 4482 | Samoa | WSM | 1976 | 78.927000 | NaN |
| 4746 | Samoa | WSM | 1977 | 78.887000 | NaN |
| 5010 | Samoa | WSM | 1978 | 78.867000 | NaN |
| 5274 | Samoa | WSM | 1979 | 78.847000 | NaN |
| 5538 | Samoa | WSM | 1980 | 78.827000 | NaN |
| 5802 | Samoa | WSM | 1981 | 78.807000 | NaN |
| 6066 | Samoa | WSM | 1982 | 78.800000 | NaN |
| 6330 | Samoa | WSM | 1983 | 78.800000 | NaN |
| 6594 | Samoa | WSM | 1984 | 78.800000 | NaN |
| 6858 | Samoa | WSM | 1985 | 78.800000 | NaN |
| 7122 | Samoa | WSM | 1986 | 78.800000 | NaN |
| 7386 | Samoa | WSM | 1987 | 78.800000 | NaN |
| 7650 | Samoa | WSM | 1988 | 78.800000 | NaN |
| 7914 | Samoa | WSM | 1989 | 78.800000 | NaN |
| 8178 | Samoa | WSM | 1990 | 78.800000 | 77.841415 |
| 8442 | Samoa | WSM | 1991 | 78.800000 | 78.800000 |
| 8706 | Samoa | WSM | 1992 | 78.742000 | 79.868790 |
| 8970 | Samoa | WSM | 1993 | 78.653000 | 80.879166 |
| 9234 | Samoa | WSM | 1994 | 78.564000 | 80.000000 |
| 9498 | Samoa | WSM | 1995 | 78.474000 | 82.878502 |
| 9762 | Samoa | WSM | 1996 | 78.384000 | 83.861343 |
| 10026 | Samoa | WSM | 1997 | 78.295000 | 84.828888 |
| 10290 | Samoa | WSM | 1998 | 78.204000 | 85.778084 |
| 10554 | Samoa | WSM | 1999 | 78.114000 | 86.705864 |
| 10818 | Samoa | WSM | 2000 | 78.023000 | 87.610687 |
| 11082 | Samoa | WSM | 2001 | 77.932000 | 88.497108 |
| 11346 | Samoa | WSM | 2002 | 78.059000 | 89.371178 |
| 11610 | Samoa | WSM | 2003 | 78.302000 | 90.238960 |
| 11874 | Samoa | WSM | 2004 | 78.543000 | 91.106529 |
| 12138 | Samoa | WSM | 2005 | 78.782000 | 91.979935 |
| 12402 | Samoa | WSM | 2006 | 79.019000 | 96.371730 |
| 12666 | Samoa | WSM | 2007 | 79.250000 | 93.768532 |
| 12930 | Samoa | WSM | 2008 | 79.476000 | 94.694328 |
| 13194 | Samoa | WSM | 2009 | 79.700000 | 97.900000 |
| 13458 | Samoa | WSM | 2010 | 79.922000 | 96.606010 |
| 13722 | Samoa | WSM | 2011 | 80.143000 | 96.668575 |
| 13986 | Samoa | WSM | 2012 | 80.361000 | 98.504707 |
| 14250 | Samoa | WSM | 2013 | 80.560000 | 99.255646 |
| 14514 | Samoa | WSM | 2014 | 80.740000 | 97.900000 |
| 14778 | Samoa | WSM | 2015 | 80.902000 | 99.938278 |
| 15042 | Samoa | WSM | 2016 | 81.045000 | 100.000000 |
| 15306 | Samoa | WSM | 2017 | 81.170000 | NaN |
| 210 | San Marino | SMR | 1960 | 51.100000 | NaN |
| 474 | San Marino | SMR | 1961 | 49.999000 | NaN |
| 738 | San Marino | SMR | 1962 | 48.896000 | NaN |
| 1002 | San Marino | SMR | 1963 | 47.794000 | NaN |
| 1266 | San Marino | SMR | 1964 | 46.693000 | NaN |
| 1530 | San Marino | SMR | 1965 | 45.598000 | NaN |
| 1794 | San Marino | SMR | 1966 | 44.506000 | NaN |
| 2058 | San Marino | SMR | 1967 | 43.419000 | NaN |
| 2322 | San Marino | SMR | 1968 | 42.337000 | NaN |
| 2586 | San Marino | SMR | 1969 | 41.265000 | NaN |
| 2850 | San Marino | SMR | 1970 | 40.200000 | NaN |
| 3114 | San Marino | SMR | 1971 | 37.719000 | NaN |
| 3378 | San Marino | SMR | 1972 | 35.297000 | NaN |
| 3642 | San Marino | SMR | 1973 | 32.954000 | NaN |
| 3906 | San Marino | SMR | 1974 | 30.691000 | NaN |
| 4170 | San Marino | SMR | 1975 | 28.516000 | NaN |
| 4434 | San Marino | SMR | 1976 | 26.434000 | NaN |
| 4698 | San Marino | SMR | 1977 | 24.385000 | NaN |
| 4962 | San Marino | SMR | 1978 | 22.396000 | NaN |
| 5226 | San Marino | SMR | 1979 | 20.525000 | NaN |
| 5490 | San Marino | SMR | 1980 | 18.769000 | NaN |
| 5754 | San Marino | SMR | 1981 | 17.136000 | NaN |
| 6018 | San Marino | SMR | 1982 | 15.616000 | NaN |
| 6282 | San Marino | SMR | 1983 | 14.208000 | NaN |
| 6546 | San Marino | SMR | 1984 | 12.905000 | NaN |
| 6810 | San Marino | SMR | 1985 | 11.709000 | NaN |
| 7074 | San Marino | SMR | 1986 | 10.608000 | NaN |
| 7338 | San Marino | SMR | 1987 | 9.600000 | NaN |
| 7602 | San Marino | SMR | 1988 | 9.600000 | NaN |
| 7866 | San Marino | SMR | 1989 | 9.600000 | NaN |
| 8130 | San Marino | SMR | 1990 | 9.600000 | 100.000000 |
| 8394 | San Marino | SMR | 1991 | 9.600000 | 100.000000 |
| 8658 | San Marino | SMR | 1992 | 9.600000 | 100.000000 |
| 8922 | San Marino | SMR | 1993 | 9.161000 | 100.000000 |
| 9186 | San Marino | SMR | 1994 | 8.739000 | 100.000000 |
| 9450 | San Marino | SMR | 1995 | 8.336000 | 100.000000 |
| 9714 | San Marino | SMR | 1996 | 7.948000 | 100.000000 |
| 9978 | San Marino | SMR | 1997 | 7.578000 | 100.000000 |
| 10242 | San Marino | SMR | 1998 | 7.224000 | 100.000000 |
| 10506 | San Marino | SMR | 1999 | 6.885000 | 100.000000 |
| 10770 | San Marino | SMR | 2000 | 6.560000 | 100.000000 |
| 11034 | San Marino | SMR | 2001 | 6.250000 | 100.000000 |
| 11298 | San Marino | SMR | 2002 | 6.075000 | 100.000000 |
| 11562 | San Marino | SMR | 2003 | 6.025000 | 100.000000 |
| 11826 | San Marino | SMR | 2004 | 5.994000 | 100.000000 |
| 12090 | San Marino | SMR | 2005 | 5.981000 | 100.000000 |
| 12354 | San Marino | SMR | 2006 | 5.969000 | 100.000000 |
| 12618 | San Marino | SMR | 2007 | 5.956000 | 100.000000 |
| 12882 | San Marino | SMR | 2008 | 5.944000 | 100.000000 |
| 13146 | San Marino | SMR | 2009 | 5.930000 | 100.000000 |
| 13410 | San Marino | SMR | 2010 | 5.914000 | 100.000000 |
| 13674 | San Marino | SMR | 2011 | 5.896000 | 100.000000 |
| 13938 | San Marino | SMR | 2012 | 5.877000 | 100.000000 |
| 14202 | San Marino | SMR | 2013 | 5.856000 | 100.000000 |
| 14466 | San Marino | SMR | 2014 | 5.834000 | 100.000000 |
| 14730 | San Marino | SMR | 2015 | 5.810000 | 100.000000 |
| 14994 | San Marino | SMR | 2016 | 5.784000 | 100.000000 |
| 15258 | San Marino | SMR | 2017 | 5.756000 | NaN |
| 217 | Sao Tome and Principe | STP | 1960 | 83.927000 | NaN |
| 481 | Sao Tome and Principe | STP | 1961 | 83.195000 | NaN |
| 745 | Sao Tome and Principe | STP | 1962 | 82.031000 | NaN |
| 1009 | Sao Tome and Principe | STP | 1963 | 80.806000 | NaN |
| 1273 | Sao Tome and Principe | STP | 1964 | 79.516000 | NaN |
| 1537 | Sao Tome and Principe | STP | 1965 | 78.167000 | NaN |
| 1801 | Sao Tome and Principe | STP | 1966 | 76.753000 | NaN |
| 2065 | Sao Tome and Principe | STP | 1967 | 75.276000 | NaN |
| 2329 | Sao Tome and Principe | STP | 1968 | 73.736000 | NaN |
| 2593 | Sao Tome and Principe | STP | 1969 | 72.139000 | NaN |
| 2857 | Sao Tome and Principe | STP | 1970 | 70.482000 | NaN |
| 3121 | Sao Tome and Principe | STP | 1971 | 69.795000 | NaN |
| 3385 | Sao Tome and Principe | STP | 1972 | 69.439000 | NaN |
| 3649 | Sao Tome and Principe | STP | 1973 | 69.083000 | NaN |
| 3913 | Sao Tome and Principe | STP | 1974 | 68.723000 | NaN |
| 4177 | Sao Tome and Principe | STP | 1975 | 68.361000 | NaN |
| 4441 | Sao Tome and Principe | STP | 1976 | 67.996000 | NaN |
| 4705 | Sao Tome and Principe | STP | 1977 | 67.630000 | NaN |
| 4969 | Sao Tome and Principe | STP | 1978 | 67.262000 | NaN |
| 5233 | Sao Tome and Principe | STP | 1979 | 66.891000 | NaN |
| 5497 | Sao Tome and Principe | STP | 1980 | 66.518000 | NaN |
| 5761 | Sao Tome and Principe | STP | 1981 | 66.143000 | NaN |
| 6025 | Sao Tome and Principe | STP | 1982 | 65.174000 | NaN |
| 6289 | Sao Tome and Principe | STP | 1983 | 64.113000 | NaN |
| 6553 | Sao Tome and Principe | STP | 1984 | 63.037000 | NaN |
| 6817 | Sao Tome and Principe | STP | 1985 | 61.951000 | NaN |
| 7081 | Sao Tome and Principe | STP | 1986 | 60.851000 | NaN |
| 7345 | Sao Tome and Principe | STP | 1987 | 59.740000 | NaN |
| 7609 | Sao Tome and Principe | STP | 1988 | 58.618000 | NaN |
| 7873 | Sao Tome and Principe | STP | 1989 | 57.489000 | NaN |
| 8137 | Sao Tome and Principe | STP | 1990 | 56.352000 | 42.757965 |
| 8401 | Sao Tome and Principe | STP | 1991 | 55.207000 | 43.691833 |
| 8665 | Sao Tome and Principe | STP | 1992 | 54.236000 | 44.625191 |
| 8929 | Sao Tome and Principe | STP | 1993 | 53.283000 | 45.555489 |
| 9193 | Sao Tome and Principe | STP | 1994 | 52.327000 | 46.479671 |
| 9457 | Sao Tome and Principe | STP | 1995 | 51.369000 | 47.394672 |
| 9721 | Sao Tome and Principe | STP | 1996 | 50.408000 | 48.297440 |
| 9985 | Sao Tome and Principe | STP | 1997 | 49.450000 | 49.184914 |
| 10249 | Sao Tome and Principe | STP | 1998 | 48.491000 | 50.054028 |
| 10513 | Sao Tome and Principe | STP | 1999 | 47.533000 | 50.901733 |
| 10777 | Sao Tome and Principe | STP | 2000 | 46.576000 | 52.900000 |
| 11041 | Sao Tome and Principe | STP | 2001 | 45.623000 | 52.532822 |
| 11305 | Sao Tome and Principe | STP | 2002 | 44.673000 | 53.326817 |
| 11569 | Sao Tome and Principe | STP | 2003 | 43.750000 | 54.114529 |
| 11833 | Sao Tome and Principe | STP | 2004 | 42.856000 | 54.902016 |
| 12097 | Sao Tome and Principe | STP | 2005 | 41.990000 | 55.695347 |
| 12361 | Sao Tome and Principe | STP | 2006 | 41.153000 | 56.500587 |
| 12625 | Sao Tome and Principe | STP | 2007 | 40.345000 | 57.323792 |
| 12889 | Sao Tome and Principe | STP | 2008 | 39.566000 | 58.169518 |
| 13153 | Sao Tome and Principe | STP | 2009 | 38.815000 | 56.900000 |
| 13417 | Sao Tome and Principe | STP | 2010 | 38.093000 | 59.921047 |
| 13681 | Sao Tome and Principe | STP | 2011 | 37.400000 | 60.820843 |
| 13945 | Sao Tome and Principe | STP | 2012 | 36.735000 | 57.900000 |
| 14209 | Sao Tome and Principe | STP | 2013 | 36.098000 | 62.653481 |
| 14473 | Sao Tome and Principe | STP | 2014 | 35.489000 | 68.600000 |
| 14737 | Sao Tome and Principe | STP | 2015 | 34.908000 | 64.510147 |
| 15001 | Sao Tome and Principe | STP | 2016 | 34.353000 | 65.440483 |
| 15265 | Sao Tome and Principe | STP | 2017 | 33.826000 | NaN |
| 203 | Saudi Arabia | SAU | 1960 | 68.750000 | NaN |
| 467 | Saudi Arabia | SAU | 1961 | 67.627000 | NaN |
| 731 | Saudi Arabia | SAU | 1962 | 66.482000 | NaN |
| 995 | Saudi Arabia | SAU | 1963 | 64.989000 | NaN |
| 1259 | Saudi Arabia | SAU | 1964 | 63.128000 | NaN |
| 1523 | Saudi Arabia | SAU | 1965 | 61.231000 | NaN |
| 1787 | Saudi Arabia | SAU | 1966 | 59.298000 | NaN |
| 2051 | Saudi Arabia | SAU | 1967 | 57.335000 | NaN |
| 2315 | Saudi Arabia | SAU | 1968 | 55.346000 | NaN |
| 2579 | Saudi Arabia | SAU | 1969 | 53.345000 | NaN |
| 2843 | Saudi Arabia | SAU | 1970 | 51.331000 | NaN |
| 3107 | Saudi Arabia | SAU | 1971 | 49.312000 | NaN |
| 3371 | Saudi Arabia | SAU | 1972 | 47.293000 | NaN |
| 3635 | Saudi Arabia | SAU | 1973 | 45.288000 | NaN |
| 3899 | Saudi Arabia | SAU | 1974 | 43.296000 | NaN |
| 4163 | Saudi Arabia | SAU | 1975 | 41.651000 | NaN |
| 4427 | Saudi Arabia | SAU | 1976 | 40.103000 | NaN |
| 4691 | Saudi Arabia | SAU | 1977 | 38.579000 | NaN |
| 4955 | Saudi Arabia | SAU | 1978 | 37.075000 | NaN |
| 5219 | Saudi Arabia | SAU | 1979 | 35.595000 | NaN |
| 5483 | Saudi Arabia | SAU | 1980 | 34.140000 | NaN |
| 5747 | Saudi Arabia | SAU | 1981 | 32.719000 | NaN |
| 6011 | Saudi Arabia | SAU | 1982 | 31.327000 | NaN |
| 6275 | Saudi Arabia | SAU | 1983 | 29.967000 | NaN |
| 6539 | Saudi Arabia | SAU | 1984 | 28.640000 | NaN |
| 6803 | Saudi Arabia | SAU | 1985 | 27.353000 | NaN |
| 7067 | Saudi Arabia | SAU | 1986 | 26.100000 | NaN |
| 7331 | Saudi Arabia | SAU | 1987 | 25.411000 | NaN |
| 7595 | Saudi Arabia | SAU | 1988 | 24.733000 | NaN |
| 7859 | Saudi Arabia | SAU | 1989 | 24.070000 | NaN |
| 8123 | Saudi Arabia | SAU | 1990 | 23.417000 | NaN |
| 8387 | Saudi Arabia | SAU | 1991 | 22.777000 | NaN |
| 8651 | Saudi Arabia | SAU | 1992 | 22.149000 | NaN |
| 8915 | Saudi Arabia | SAU | 1993 | 21.814000 | NaN |
| 9179 | Saudi Arabia | SAU | 1994 | 21.571000 | NaN |
| 9443 | Saudi Arabia | SAU | 1995 | 21.330000 | NaN |
| 9707 | Saudi Arabia | SAU | 1996 | 21.090000 | NaN |
| 9971 | Saudi Arabia | SAU | 1997 | 20.853000 | NaN |
| 10235 | Saudi Arabia | SAU | 1998 | 20.617000 | NaN |
| 10499 | Saudi Arabia | SAU | 1999 | 20.384000 | NaN |
| 10763 | Saudi Arabia | SAU | 2000 | 20.152000 | NaN |
| 11027 | Saudi Arabia | SAU | 2001 | 19.923000 | NaN |
| 11291 | Saudi Arabia | SAU | 2002 | 19.696000 | NaN |
| 11555 | Saudi Arabia | SAU | 2003 | 19.470000 | NaN |
| 11819 | Saudi Arabia | SAU | 2004 | 19.246000 | 100.000000 |
| 12083 | Saudi Arabia | SAU | 2005 | 19.021000 | 100.000000 |
| 12347 | Saudi Arabia | SAU | 2006 | 18.796000 | 100.000000 |
| 12611 | Saudi Arabia | SAU | 2007 | 18.573000 | 100.000000 |
| 12875 | Saudi Arabia | SAU | 2008 | 18.351000 | 100.000000 |
| 13139 | Saudi Arabia | SAU | 2009 | 18.133000 | 100.000000 |
| 13403 | Saudi Arabia | SAU | 2010 | 17.916000 | 100.000000 |
| 13667 | Saudi Arabia | SAU | 2011 | 17.702000 | 100.000000 |
| 13931 | Saudi Arabia | SAU | 2012 | 17.490000 | 100.000000 |
| 14195 | Saudi Arabia | SAU | 2013 | 17.281000 | 100.000000 |
| 14459 | Saudi Arabia | SAU | 2014 | 17.074000 | 100.000000 |
| 14723 | Saudi Arabia | SAU | 2015 | 16.870000 | 100.000000 |
| 14987 | Saudi Arabia | SAU | 2016 | 16.669000 | 100.000000 |
| 15251 | Saudi Arabia | SAU | 2017 | 16.470000 | NaN |
| 205 | Senegal | SEN | 1960 | 77.000000 | NaN |
| 469 | Senegal | SEN | 1961 | 76.355000 | NaN |
| 733 | Senegal | SEN | 1962 | 75.697000 | NaN |
| 997 | Senegal | SEN | 1963 | 75.027000 | NaN |
| 1261 | Senegal | SEN | 1964 | 74.343000 | NaN |
| 1525 | Senegal | SEN | 1965 | 73.649000 | NaN |
| 1789 | Senegal | SEN | 1966 | 72.943000 | NaN |
| 2053 | Senegal | SEN | 1967 | 72.224000 | NaN |
| 2317 | Senegal | SEN | 1968 | 71.493000 | NaN |
| 2581 | Senegal | SEN | 1969 | 70.753000 | NaN |
| 2845 | Senegal | SEN | 1970 | 70.000000 | NaN |
| 3109 | Senegal | SEN | 1971 | 69.280000 | NaN |
| 3373 | Senegal | SEN | 1972 | 68.549000 | NaN |
| 3637 | Senegal | SEN | 1973 | 67.811000 | NaN |
| 3901 | Senegal | SEN | 1974 | 67.063000 | NaN |
| 4165 | Senegal | SEN | 1975 | 66.307000 | NaN |
| 4429 | Senegal | SEN | 1976 | 65.628000 | NaN |
| 4693 | Senegal | SEN | 1977 | 65.282000 | NaN |
| 4957 | Senegal | SEN | 1978 | 64.933000 | NaN |
| 5221 | Senegal | SEN | 1979 | 64.583000 | NaN |
| 5485 | Senegal | SEN | 1980 | 64.231000 | NaN |
| 5749 | Senegal | SEN | 1981 | 63.878000 | NaN |
| 6013 | Senegal | SEN | 1982 | 63.524000 | NaN |
| 6277 | Senegal | SEN | 1983 | 63.168000 | NaN |
| 6541 | Senegal | SEN | 1984 | 62.809000 | NaN |
| 6805 | Senegal | SEN | 1985 | 62.451000 | NaN |
| 7069 | Senegal | SEN | 1986 | 62.091000 | NaN |
| 7333 | Senegal | SEN | 1987 | 61.729000 | NaN |
| 7597 | Senegal | SEN | 1988 | 61.386000 | NaN |
| 7861 | Senegal | SEN | 1989 | 61.243000 | NaN |
| 8125 | Senegal | SEN | 1990 | 61.100000 | 25.130535 |
| 8389 | Senegal | SEN | 1991 | 60.956000 | 26.657602 |
| 8653 | Senegal | SEN | 1992 | 60.812000 | 28.184158 |
| 8917 | Senegal | SEN | 1993 | 60.668000 | 26.000000 |
| 9181 | Senegal | SEN | 1994 | 60.524000 | 31.225035 |
| 9445 | Senegal | SEN | 1995 | 60.380000 | 32.733238 |
| 9709 | Senegal | SEN | 1996 | 60.235000 | 34.229202 |
| 9973 | Senegal | SEN | 1997 | 60.090000 | 32.200000 |
| 10237 | Senegal | SEN | 1998 | 59.945000 | 37.172188 |
| 10501 | Senegal | SEN | 1999 | 59.800000 | 36.200000 |
| 10765 | Senegal | SEN | 2000 | 59.655000 | 62.257063 |
| 11029 | Senegal | SEN | 2001 | 59.510000 | 41.430576 |
| 11293 | Senegal | SEN | 2002 | 59.364000 | 36.800000 |
| 11557 | Senegal | SEN | 2003 | 59.218000 | 44.198681 |
| 11821 | Senegal | SEN | 2004 | 59.057000 | 36.800000 |
| 12085 | Senegal | SEN | 2005 | 58.881000 | 47.100000 |
| 12349 | Senegal | SEN | 2006 | 58.689000 | 49.900000 |
| 12613 | Senegal | SEN | 2007 | 58.482000 | 49.780739 |
| 12877 | Senegal | SEN | 2008 | 58.260000 | 51.219662 |
| 13141 | Senegal | SEN | 2009 | 58.023000 | 53.500000 |
| 13405 | Senegal | SEN | 2010 | 57.770000 | 54.157589 |
| 13669 | Senegal | SEN | 2011 | 57.503000 | 56.500000 |
| 13933 | Senegal | SEN | 2012 | 57.219000 | 57.155598 |
| 14197 | Senegal | SEN | 2013 | 56.921000 | 57.000000 |
| 14461 | Senegal | SEN | 2014 | 56.607000 | 61.000000 |
| 14725 | Senegal | SEN | 2015 | 56.279000 | 60.500000 |
| 14989 | Senegal | SEN | 2016 | 55.935000 | 64.500000 |
| 15253 | Senegal | SEN | 2017 | 55.576000 | NaN |
| 212 | Serbia | SRB | 1960 | NaN | NaN |
| 476 | Serbia | SRB | 1961 | NaN | NaN |
| 740 | Serbia | SRB | 1962 | NaN | NaN |
| 1004 | Serbia | SRB | 1963 | NaN | NaN |
| 1268 | Serbia | SRB | 1964 | NaN | NaN |
| 1532 | Serbia | SRB | 1965 | NaN | NaN |
| 1796 | Serbia | SRB | 1966 | NaN | NaN |
| 2060 | Serbia | SRB | 1967 | NaN | NaN |
| 2324 | Serbia | SRB | 1968 | NaN | NaN |
| 2588 | Serbia | SRB | 1969 | NaN | NaN |
| 2852 | Serbia | SRB | 1970 | NaN | NaN |
| 3116 | Serbia | SRB | 1971 | NaN | NaN |
| 3380 | Serbia | SRB | 1972 | NaN | NaN |
| 3644 | Serbia | SRB | 1973 | NaN | NaN |
| 3908 | Serbia | SRB | 1974 | NaN | NaN |
| 4172 | Serbia | SRB | 1975 | NaN | NaN |
| 4436 | Serbia | SRB | 1976 | NaN | NaN |
| 4700 | Serbia | SRB | 1977 | NaN | NaN |
| 4964 | Serbia | SRB | 1978 | NaN | NaN |
| 5228 | Serbia | SRB | 1979 | NaN | NaN |
| 5492 | Serbia | SRB | 1980 | NaN | NaN |
| 5756 | Serbia | SRB | 1981 | NaN | NaN |
| 6020 | Serbia | SRB | 1982 | NaN | NaN |
| 6284 | Serbia | SRB | 1983 | NaN | NaN |
| 6548 | Serbia | SRB | 1984 | NaN | NaN |
| 6812 | Serbia | SRB | 1985 | NaN | NaN |
| 7076 | Serbia | SRB | 1986 | NaN | NaN |
| 7340 | Serbia | SRB | 1987 | NaN | NaN |
| 7604 | Serbia | SRB | 1988 | NaN | NaN |
| 7868 | Serbia | SRB | 1989 | NaN | NaN |
| 8132 | Serbia | SRB | 1990 | 49.607000 | 99.271263 |
| 8396 | Serbia | SRB | 1991 | 49.232000 | 99.366394 |
| 8660 | Serbia | SRB | 1992 | 48.963000 | 99.460037 |
| 8924 | Serbia | SRB | 1993 | 48.694000 | 99.550110 |
| 9188 | Serbia | SRB | 1994 | 48.425000 | 99.633980 |
| 9452 | Serbia | SRB | 1995 | 48.156000 | 99.708664 |
| 9716 | Serbia | SRB | 1996 | 47.886000 | 99.770905 |
| 9980 | Serbia | SRB | 1997 | 47.618000 | 99.816544 |
| 10244 | Serbia | SRB | 1998 | 47.349000 | 99.840614 |
| 10508 | Serbia | SRB | 1999 | 47.081000 | 99.840614 |
| 10772 | Serbia | SRB | 2000 | 46.812000 | 99.840080 |
| 11036 | Serbia | SRB | 2001 | 46.544000 | 99.817200 |
| 11300 | Serbia | SRB | 2002 | 46.276000 | 100.000000 |
| 11564 | Serbia | SRB | 2003 | 46.008000 | 99.733307 |
| 11828 | Serbia | SRB | 2004 | 45.741000 | 99.687439 |
| 12092 | Serbia | SRB | 2005 | 45.474000 | 99.690722 |
| 12356 | Serbia | SRB | 2006 | 45.207000 | 99.623825 |
| 12620 | Serbia | SRB | 2007 | 44.940000 | 99.621017 |
| 12884 | Serbia | SRB | 2008 | 44.890000 | 99.621017 |
| 13148 | Serbia | SRB | 2009 | 44.841000 | 99.642448 |
| 13412 | Serbia | SRB | 2010 | 44.792000 | 99.718398 |
| 13676 | Serbia | SRB | 2011 | 44.742000 | 99.744583 |
| 13940 | Serbia | SRB | 2012 | 44.693000 | 99.814972 |
| 14204 | Serbia | SRB | 2013 | 44.627000 | 99.887268 |
| 14468 | Serbia | SRB | 2014 | 44.545000 | 99.660798 |
| 14732 | Serbia | SRB | 2015 | 44.447000 | 99.982742 |
| 14996 | Serbia | SRB | 2016 | 44.332000 | 100.000000 |
| 15260 | Serbia | SRB | 2017 | 44.201000 | NaN |
| 224 | Seychelles | SYC | 1960 | 72.327000 | NaN |
| 488 | Seychelles | SYC | 1961 | 71.283000 | NaN |
| 752 | Seychelles | SYC | 1962 | 70.214000 | NaN |
| 1016 | Seychelles | SYC | 1963 | 69.123000 | NaN |
| 1280 | Seychelles | SYC | 1964 | 68.009000 | NaN |
| 1544 | Seychelles | SYC | 1965 | 66.877000 | NaN |
| 1808 | Seychelles | SYC | 1966 | 65.723000 | NaN |
| 2072 | Seychelles | SYC | 1967 | 64.551000 | NaN |
| 2336 | Seychelles | SYC | 1968 | 63.359000 | NaN |
| 2600 | Seychelles | SYC | 1969 | 62.154000 | NaN |
| 2864 | Seychelles | SYC | 1970 | 60.932000 | NaN |
| 3128 | Seychelles | SYC | 1971 | 59.663000 | NaN |
| 3392 | Seychelles | SYC | 1972 | 58.198000 | NaN |
| 3656 | Seychelles | SYC | 1973 | 56.723000 | NaN |
| 3920 | Seychelles | SYC | 1974 | 55.233000 | NaN |
| 4184 | Seychelles | SYC | 1975 | 53.734000 | NaN |
| 4448 | Seychelles | SYC | 1976 | 52.226000 | NaN |
| 4712 | Seychelles | SYC | 1977 | 50.718000 | NaN |
| 4976 | Seychelles | SYC | 1978 | 50.604000 | NaN |
| 5240 | Seychelles | SYC | 1979 | 50.619000 | NaN |
| 5504 | Seychelles | SYC | 1980 | 50.634000 | NaN |
| 5768 | Seychelles | SYC | 1981 | 50.648000 | NaN |
| 6032 | Seychelles | SYC | 1982 | 50.663000 | NaN |
| 6296 | Seychelles | SYC | 1983 | 50.678000 | NaN |
| 6560 | Seychelles | SYC | 1984 | 50.693000 | NaN |
| 6824 | Seychelles | SYC | 1985 | 50.708000 | NaN |
| 7088 | Seychelles | SYC | 1986 | 50.723000 | NaN |
| 7352 | Seychelles | SYC | 1987 | 50.738000 | NaN |
| 7616 | Seychelles | SYC | 1988 | 50.753000 | NaN |
| 7880 | Seychelles | SYC | 1989 | 50.754000 | NaN |
| 8144 | Seychelles | SYC | 1990 | 50.742000 | 89.545586 |
| 8408 | Seychelles | SYC | 1991 | 50.717000 | 90.019554 |
| 8672 | Seychelles | SYC | 1992 | 50.678000 | 90.493011 |
| 8936 | Seychelles | SYC | 1993 | 50.625000 | 90.963409 |
| 9200 | Seychelles | SYC | 1994 | 50.559000 | 90.000000 |
| 9464 | Seychelles | SYC | 1995 | 50.480000 | 91.882797 |
| 9728 | Seychelles | SYC | 1996 | 50.387000 | 92.325668 |
| 9992 | Seychelles | SYC | 1997 | 50.280000 | 92.000000 |
| 10256 | Seychelles | SYC | 1998 | 50.160000 | 93.162460 |
| 10520 | Seychelles | SYC | 1999 | 50.027000 | 93.550262 |
| 10784 | Seychelles | SYC | 2000 | 49.880000 | 93.915115 |
| 11048 | Seychelles | SYC | 2001 | 49.720000 | 94.261559 |
| 11312 | Seychelles | SYC | 2002 | 49.546000 | 96.100000 |
| 11576 | Seychelles | SYC | 2003 | 49.359000 | 94.923470 |
| 11840 | Seychelles | SYC | 2004 | 49.159000 | 95.251060 |
| 12104 | Seychelles | SYC | 2005 | 48.945000 | 95.584488 |
| 12368 | Seychelles | SYC | 2006 | 48.718000 | 99.000000 |
| 12632 | Seychelles | SYC | 2007 | 48.478000 | 96.293137 |
| 12896 | Seychelles | SYC | 2008 | 48.225000 | 96.678963 |
| 13160 | Seychelles | SYC | 2009 | 47.959000 | 97.085823 |
| 13424 | Seychelles | SYC | 2010 | 47.681000 | 97.000000 |
| 13688 | Seychelles | SYC | 2011 | 47.389000 | 97.950600 |
| 13952 | Seychelles | SYC | 2012 | 47.085000 | 98.409271 |
| 14216 | Seychelles | SYC | 2013 | 46.769000 | 98.000000 |
| 14480 | Seychelles | SYC | 2014 | 46.441000 | 99.298889 |
| 14744 | Seychelles | SYC | 2015 | 46.113000 | 99.678322 |
| 15008 | Seychelles | SYC | 2016 | 45.786000 | 100.000000 |
| 15272 | Seychelles | SYC | 2017 | 45.459000 | NaN |
| 208 | Sierra Leone | SLE | 1960 | 82.648000 | NaN |
| 472 | Sierra Leone | SLE | 1961 | 82.097000 | NaN |
| 736 | Sierra Leone | SLE | 1962 | 81.533000 | NaN |
| 1000 | Sierra Leone | SLE | 1963 | 80.940000 | NaN |
| 1264 | Sierra Leone | SLE | 1964 | 80.288000 | NaN |
| 1528 | Sierra Leone | SLE | 1965 | 79.621000 | NaN |
| 1792 | Sierra Leone | SLE | 1966 | 78.936000 | NaN |
| 2056 | Sierra Leone | SLE | 1967 | 78.235000 | NaN |
| 2320 | Sierra Leone | SLE | 1968 | 77.516000 | NaN |
| 2584 | Sierra Leone | SLE | 1969 | 76.782000 | NaN |
| 2848 | Sierra Leone | SLE | 1970 | 76.031000 | NaN |
| 3112 | Sierra Leone | SLE | 1971 | 75.263000 | NaN |
| 3376 | Sierra Leone | SLE | 1972 | 74.478000 | NaN |
| 3640 | Sierra Leone | SLE | 1973 | 73.679000 | NaN |
| 3904 | Sierra Leone | SLE | 1974 | 72.863000 | NaN |
| 4168 | Sierra Leone | SLE | 1975 | 72.271000 | NaN |
| 4432 | Sierra Leone | SLE | 1976 | 71.860000 | NaN |
| 4696 | Sierra Leone | SLE | 1977 | 71.446000 | NaN |
| 4960 | Sierra Leone | SLE | 1978 | 71.028000 | NaN |
| 5224 | Sierra Leone | SLE | 1979 | 70.606000 | NaN |
| 5488 | Sierra Leone | SLE | 1980 | 70.181000 | NaN |
| 5752 | Sierra Leone | SLE | 1981 | 69.752000 | NaN |
| 6016 | Sierra Leone | SLE | 1982 | 69.320000 | NaN |
| 6280 | Sierra Leone | SLE | 1983 | 68.885000 | NaN |
| 6544 | Sierra Leone | SLE | 1984 | 68.445000 | NaN |
| 6808 | Sierra Leone | SLE | 1985 | 68.003000 | NaN |
| 7072 | Sierra Leone | SLE | 1986 | 67.675000 | NaN |
| 7336 | Sierra Leone | SLE | 1987 | 67.445000 | NaN |
| 7600 | Sierra Leone | SLE | 1988 | 67.213000 | NaN |
| 7864 | Sierra Leone | SLE | 1989 | 66.981000 | NaN |
| 8128 | Sierra Leone | SLE | 1990 | 66.748000 | 7.081538 |
| 8392 | Sierra Leone | SLE | 1991 | 66.515000 | 7.520792 |
| 8656 | Sierra Leone | SLE | 1992 | 66.280000 | 7.959537 |
| 8920 | Sierra Leone | SLE | 1993 | 66.045000 | 8.395222 |
| 9184 | Sierra Leone | SLE | 1994 | 65.808000 | 8.824788 |
| 9448 | Sierra Leone | SLE | 1995 | 65.571000 | 9.245178 |
| 9712 | Sierra Leone | SLE | 1996 | 65.333000 | 9.653331 |
| 9976 | Sierra Leone | SLE | 1997 | 65.095000 | 10.046188 |
| 10240 | Sierra Leone | SLE | 1998 | 64.856000 | 10.420691 |
| 10504 | Sierra Leone | SLE | 1999 | 64.616000 | 10.773781 |
| 10768 | Sierra Leone | SLE | 2000 | 64.374000 | 11.103917 |
| 11032 | Sierra Leone | SLE | 2001 | 64.133000 | 11.415644 |
| 11296 | Sierra Leone | SLE | 2002 | 63.891000 | 11.715024 |
| 11560 | Sierra Leone | SLE | 2003 | 63.648000 | 12.008121 |
| 11824 | Sierra Leone | SLE | 2004 | 63.404000 | 16.800000 |
| 12088 | Sierra Leone | SLE | 2005 | 63.160000 | 11.332486 |
| 12352 | Sierra Leone | SLE | 2006 | 62.904000 | 12.910337 |
| 12616 | Sierra Leone | SLE | 2007 | 62.636000 | 13.238930 |
| 12880 | Sierra Leone | SLE | 2008 | 62.355000 | 12.100000 |
| 13144 | Sierra Leone | SLE | 2009 | 62.063000 | 13.962181 |
| 13408 | Sierra Leone | SLE | 2010 | 61.759000 | 11.462173 |
| 13672 | Sierra Leone | SLE | 2011 | 61.443000 | 14.200000 |
| 13936 | Sierra Leone | SLE | 2012 | 61.115000 | 15.174726 |
| 14200 | Sierra Leone | SLE | 2013 | 60.774000 | 13.500000 |
| 14464 | Sierra Leone | SLE | 2014 | 60.422000 | 16.033155 |
| 14728 | Sierra Leone | SLE | 2015 | 60.058000 | 16.468376 |
| 14992 | Sierra Leone | SLE | 2016 | 59.682000 | 20.300000 |
| 15256 | Sierra Leone | SLE | 2017 | 59.293000 | NaN |
| 206 | Singapore | SGP | 1960 | 0.000000 | NaN |
| 470 | Singapore | SGP | 1961 | 0.000000 | NaN |
| 734 | Singapore | SGP | 1962 | 0.000000 | NaN |
| 998 | Singapore | SGP | 1963 | 0.000000 | NaN |
| 1262 | Singapore | SGP | 1964 | 0.000000 | NaN |
| 1526 | Singapore | SGP | 1965 | 0.000000 | NaN |
| 1790 | Singapore | SGP | 1966 | 0.000000 | NaN |
| 2054 | Singapore | SGP | 1967 | 0.000000 | NaN |
| 2318 | Singapore | SGP | 1968 | 0.000000 | NaN |
| 2582 | Singapore | SGP | 1969 | 0.000000 | NaN |
| 2846 | Singapore | SGP | 1970 | 0.000000 | NaN |
| 3110 | Singapore | SGP | 1971 | 0.000000 | NaN |
| 3374 | Singapore | SGP | 1972 | 0.000000 | NaN |
| 3638 | Singapore | SGP | 1973 | 0.000000 | NaN |
| 3902 | Singapore | SGP | 1974 | 0.000000 | NaN |
| 4166 | Singapore | SGP | 1975 | 0.000000 | NaN |
| 4430 | Singapore | SGP | 1976 | 0.000000 | NaN |
| 4694 | Singapore | SGP | 1977 | 0.000000 | NaN |
| 4958 | Singapore | SGP | 1978 | 0.000000 | NaN |
| 5222 | Singapore | SGP | 1979 | 0.000000 | NaN |
| 5486 | Singapore | SGP | 1980 | 0.000000 | NaN |
| 5750 | Singapore | SGP | 1981 | 0.000000 | NaN |
| 6014 | Singapore | SGP | 1982 | 0.000000 | NaN |
| 6278 | Singapore | SGP | 1983 | 0.000000 | NaN |
| 6542 | Singapore | SGP | 1984 | 0.000000 | NaN |
| 6806 | Singapore | SGP | 1985 | 0.000000 | NaN |
| 7070 | Singapore | SGP | 1986 | 0.000000 | NaN |
| 7334 | Singapore | SGP | 1987 | 0.000000 | NaN |
| 7598 | Singapore | SGP | 1988 | 0.000000 | NaN |
| 7862 | Singapore | SGP | 1989 | 0.000000 | NaN |
| 8126 | Singapore | SGP | 1990 | 0.000000 | 100.000000 |
| 8390 | Singapore | SGP | 1991 | 0.000000 | 100.000000 |
| 8654 | Singapore | SGP | 1992 | 0.000000 | 100.000000 |
| 8918 | Singapore | SGP | 1993 | 0.000000 | 100.000000 |
| 9182 | Singapore | SGP | 1994 | 0.000000 | 100.000000 |
| 9446 | Singapore | SGP | 1995 | 0.000000 | 100.000000 |
| 9710 | Singapore | SGP | 1996 | 0.000000 | 100.000000 |
| 9974 | Singapore | SGP | 1997 | 0.000000 | 100.000000 |
| 10238 | Singapore | SGP | 1998 | 0.000000 | 100.000000 |
| 10502 | Singapore | SGP | 1999 | 0.000000 | 100.000000 |
| 10766 | Singapore | SGP | 2000 | 0.000000 | 100.000000 |
| 11030 | Singapore | SGP | 2001 | 0.000000 | 100.000000 |
| 11294 | Singapore | SGP | 2002 | 0.000000 | 100.000000 |
| 11558 | Singapore | SGP | 2003 | 0.000000 | 100.000000 |
| 11822 | Singapore | SGP | 2004 | 0.000000 | 100.000000 |
| 12086 | Singapore | SGP | 2005 | 0.000000 | 100.000000 |
| 12350 | Singapore | SGP | 2006 | 0.000000 | 100.000000 |
| 12614 | Singapore | SGP | 2007 | 0.000000 | 100.000000 |
| 12878 | Singapore | SGP | 2008 | 0.000000 | 100.000000 |
| 13142 | Singapore | SGP | 2009 | 0.000000 | 100.000000 |
| 13406 | Singapore | SGP | 2010 | 0.000000 | 100.000000 |
| 13670 | Singapore | SGP | 2011 | 0.000000 | 100.000000 |
| 13934 | Singapore | SGP | 2012 | 0.000000 | 100.000000 |
| 14198 | Singapore | SGP | 2013 | 0.000000 | 100.000000 |
| 14462 | Singapore | SGP | 2014 | 0.000000 | 100.000000 |
| 14726 | Singapore | SGP | 2015 | 0.000000 | 100.000000 |
| 14990 | Singapore | SGP | 2016 | 0.000000 | 100.000000 |
| 15254 | Singapore | SGP | 2017 | 0.000000 | NaN |
| 223 | Sint Maarten (Dutch part) | SXM | 1960 | 0.000000 | NaN |
| 487 | Sint Maarten (Dutch part) | SXM | 1961 | 0.000000 | NaN |
| 751 | Sint Maarten (Dutch part) | SXM | 1962 | 0.000000 | NaN |
| 1015 | Sint Maarten (Dutch part) | SXM | 1963 | 0.000000 | NaN |
| 1279 | Sint Maarten (Dutch part) | SXM | 1964 | 0.000000 | NaN |
| 1543 | Sint Maarten (Dutch part) | SXM | 1965 | 0.000000 | NaN |
| 1807 | Sint Maarten (Dutch part) | SXM | 1966 | 0.000000 | NaN |
| 2071 | Sint Maarten (Dutch part) | SXM | 1967 | 0.000000 | NaN |
| 2335 | Sint Maarten (Dutch part) | SXM | 1968 | 0.000000 | NaN |
| 2599 | Sint Maarten (Dutch part) | SXM | 1969 | 0.000000 | NaN |
| 2863 | Sint Maarten (Dutch part) | SXM | 1970 | 0.000000 | NaN |
| 3127 | Sint Maarten (Dutch part) | SXM | 1971 | 0.000000 | NaN |
| 3391 | Sint Maarten (Dutch part) | SXM | 1972 | 0.000000 | NaN |
| 3655 | Sint Maarten (Dutch part) | SXM | 1973 | 0.000000 | NaN |
| 3919 | Sint Maarten (Dutch part) | SXM | 1974 | 0.000000 | NaN |
| 4183 | Sint Maarten (Dutch part) | SXM | 1975 | 0.000000 | NaN |
| 4447 | Sint Maarten (Dutch part) | SXM | 1976 | 0.000000 | NaN |
| 4711 | Sint Maarten (Dutch part) | SXM | 1977 | 0.000000 | NaN |
| 4975 | Sint Maarten (Dutch part) | SXM | 1978 | 0.000000 | NaN |
| 5239 | Sint Maarten (Dutch part) | SXM | 1979 | 0.000000 | NaN |
| 5503 | Sint Maarten (Dutch part) | SXM | 1980 | 0.000000 | NaN |
| 5767 | Sint Maarten (Dutch part) | SXM | 1981 | 0.000000 | NaN |
| 6031 | Sint Maarten (Dutch part) | SXM | 1982 | 0.000000 | NaN |
| 6295 | Sint Maarten (Dutch part) | SXM | 1983 | 0.000000 | NaN |
| 6559 | Sint Maarten (Dutch part) | SXM | 1984 | 0.000000 | NaN |
| 6823 | Sint Maarten (Dutch part) | SXM | 1985 | 0.000000 | NaN |
| 7087 | Sint Maarten (Dutch part) | SXM | 1986 | 0.000000 | NaN |
| 7351 | Sint Maarten (Dutch part) | SXM | 1987 | 0.000000 | NaN |
| 7615 | Sint Maarten (Dutch part) | SXM | 1988 | 0.000000 | NaN |
| 7879 | Sint Maarten (Dutch part) | SXM | 1989 | 0.000000 | NaN |
| 8143 | Sint Maarten (Dutch part) | SXM | 1990 | 0.000000 | 100.000000 |
| 8407 | Sint Maarten (Dutch part) | SXM | 1991 | 0.000000 | 100.000000 |
| 8671 | Sint Maarten (Dutch part) | SXM | 1992 | 0.000000 | 100.000000 |
| 8935 | Sint Maarten (Dutch part) | SXM | 1993 | 0.000000 | 100.000000 |
| 9199 | Sint Maarten (Dutch part) | SXM | 1994 | 0.000000 | 100.000000 |
| 9463 | Sint Maarten (Dutch part) | SXM | 1995 | 0.000000 | 100.000000 |
| 9727 | Sint Maarten (Dutch part) | SXM | 1996 | 0.000000 | 100.000000 |
| 9991 | Sint Maarten (Dutch part) | SXM | 1997 | 0.000000 | 100.000000 |
| 10255 | Sint Maarten (Dutch part) | SXM | 1998 | 0.000000 | 100.000000 |
| 10519 | Sint Maarten (Dutch part) | SXM | 1999 | 0.000000 | 100.000000 |
| 10783 | Sint Maarten (Dutch part) | SXM | 2000 | 0.000000 | 100.000000 |
| 11047 | Sint Maarten (Dutch part) | SXM | 2001 | 0.000000 | 100.000000 |
| 11311 | Sint Maarten (Dutch part) | SXM | 2002 | 0.000000 | 100.000000 |
| 11575 | Sint Maarten (Dutch part) | SXM | 2003 | 0.000000 | 100.000000 |
| 11839 | Sint Maarten (Dutch part) | SXM | 2004 | 0.000000 | 100.000000 |
| 12103 | Sint Maarten (Dutch part) | SXM | 2005 | 0.000000 | 100.000000 |
| 12367 | Sint Maarten (Dutch part) | SXM | 2006 | 0.000000 | 100.000000 |
| 12631 | Sint Maarten (Dutch part) | SXM | 2007 | 0.000000 | 100.000000 |
| 12895 | Sint Maarten (Dutch part) | SXM | 2008 | 0.000000 | 100.000000 |
| 13159 | Sint Maarten (Dutch part) | SXM | 2009 | 0.000000 | 100.000000 |
| 13423 | Sint Maarten (Dutch part) | SXM | 2010 | 0.000000 | 100.000000 |
| 13687 | Sint Maarten (Dutch part) | SXM | 2011 | 0.000000 | 100.000000 |
| 13951 | Sint Maarten (Dutch part) | SXM | 2012 | 0.000000 | 100.000000 |
| 14215 | Sint Maarten (Dutch part) | SXM | 2013 | 0.000000 | 100.000000 |
| 14479 | Sint Maarten (Dutch part) | SXM | 2014 | 0.000000 | 100.000000 |
| 14743 | Sint Maarten (Dutch part) | SXM | 2015 | 0.000000 | 100.000000 |
| 15007 | Sint Maarten (Dutch part) | SXM | 2016 | 0.000000 | 100.000000 |
| 15271 | Sint Maarten (Dutch part) | SXM | 2017 | 0.000000 | NaN |
| 219 | Slovak Republic | SVK | 1960 | 66.536000 | NaN |
| 483 | Slovak Republic | SVK | 1961 | 66.047000 | NaN |
| 747 | Slovak Republic | SVK | 1962 | 65.286000 | NaN |
| 1011 | Slovak Republic | SVK | 1963 | 64.517000 | NaN |
| 1275 | Slovak Republic | SVK | 1964 | 63.740000 | NaN |
| 1539 | Slovak Republic | SVK | 1965 | 62.957000 | NaN |
| 1803 | Slovak Republic | SVK | 1966 | 62.167000 | NaN |
| 2067 | Slovak Republic | SVK | 1967 | 61.370000 | NaN |
| 2331 | Slovak Republic | SVK | 1968 | 60.565000 | NaN |
| 2595 | Slovak Republic | SVK | 1969 | 59.757000 | NaN |
| 2859 | Slovak Republic | SVK | 1970 | 58.943000 | NaN |
| 3123 | Slovak Republic | SVK | 1971 | 57.991000 | NaN |
| 3387 | Slovak Republic | SVK | 1972 | 56.936000 | NaN |
| 3651 | Slovak Republic | SVK | 1973 | 55.878000 | NaN |
| 3915 | Slovak Republic | SVK | 1974 | 54.813000 | NaN |
| 4179 | Slovak Republic | SVK | 1975 | 53.743000 | NaN |
| 4443 | Slovak Republic | SVK | 1976 | 52.669000 | NaN |
| 4707 | Slovak Republic | SVK | 1977 | 51.595000 | NaN |
| 4971 | Slovak Republic | SVK | 1978 | 50.518000 | NaN |
| 5235 | Slovak Republic | SVK | 1979 | 49.440000 | NaN |
| 5499 | Slovak Republic | SVK | 1980 | 48.362000 | NaN |
| 5763 | Slovak Republic | SVK | 1981 | 47.690000 | NaN |
| 6027 | Slovak Republic | SVK | 1982 | 47.223000 | NaN |
| 6291 | Slovak Republic | SVK | 1983 | 46.756000 | NaN |
| 6555 | Slovak Republic | SVK | 1984 | 46.289000 | NaN |
| 6819 | Slovak Republic | SVK | 1985 | 45.824000 | NaN |
| 7083 | Slovak Republic | SVK | 1986 | 45.359000 | NaN |
| 7347 | Slovak Republic | SVK | 1987 | 44.895000 | NaN |
| 7611 | Slovak Republic | SVK | 1988 | 44.432000 | NaN |
| 7875 | Slovak Republic | SVK | 1989 | 43.970000 | NaN |
| 8139 | Slovak Republic | SVK | 1990 | 43.509000 | 100.000000 |
| 8403 | Slovak Republic | SVK | 1991 | 43.220000 | 100.000000 |
| 8667 | Slovak Republic | SVK | 1992 | 43.281000 | 100.000000 |
| 8931 | Slovak Republic | SVK | 1993 | 43.341000 | 100.000000 |
| 9195 | Slovak Republic | SVK | 1994 | 43.402000 | 100.000000 |
| 9459 | Slovak Republic | SVK | 1995 | 43.463000 | 100.000000 |
| 9723 | Slovak Republic | SVK | 1996 | 43.524000 | 100.000000 |
| 9987 | Slovak Republic | SVK | 1997 | 43.584000 | 100.000000 |
| 10251 | Slovak Republic | SVK | 1998 | 43.645000 | 100.000000 |
| 10515 | Slovak Republic | SVK | 1999 | 43.706000 | 100.000000 |
| 10779 | Slovak Republic | SVK | 2000 | 43.767000 | 100.000000 |
| 11043 | Slovak Republic | SVK | 2001 | 43.837000 | 100.000000 |
| 11307 | Slovak Republic | SVK | 2002 | 43.987000 | 100.000000 |
| 11571 | Slovak Republic | SVK | 2003 | 44.137000 | 100.000000 |
| 11835 | Slovak Republic | SVK | 2004 | 44.287000 | 100.000000 |
| 12099 | Slovak Republic | SVK | 2005 | 44.437000 | 100.000000 |
| 12363 | Slovak Republic | SVK | 2006 | 44.588000 | 100.000000 |
| 12627 | Slovak Republic | SVK | 2007 | 44.739000 | 100.000000 |
| 12891 | Slovak Republic | SVK | 2008 | 44.889000 | 100.000000 |
| 13155 | Slovak Republic | SVK | 2009 | 45.040000 | 100.000000 |
| 13419 | Slovak Republic | SVK | 2010 | 45.315000 | 100.000000 |
| 13683 | Slovak Republic | SVK | 2011 | 45.590000 | 100.000000 |
| 13947 | Slovak Republic | SVK | 2012 | 45.837000 | 100.000000 |
| 14211 | Slovak Republic | SVK | 2013 | 46.055000 | 100.000000 |
| 14475 | Slovak Republic | SVK | 2014 | 46.243000 | 100.000000 |
| 14739 | Slovak Republic | SVK | 2015 | 46.402000 | 100.000000 |
| 15003 | Slovak Republic | SVK | 2016 | 46.532000 | 100.000000 |
| 15267 | Slovak Republic | SVK | 2017 | 46.632000 | NaN |
| 220 | Slovenia | SVN | 1960 | 71.796000 | NaN |
| 484 | Slovenia | SVN | 1961 | 70.893000 | NaN |
| 748 | Slovenia | SVN | 1962 | 70.066000 | NaN |
| 1012 | Slovenia | SVN | 1963 | 69.224000 | NaN |
| 1276 | Slovenia | SVN | 1964 | 68.369000 | NaN |
| 1540 | Slovenia | SVN | 1965 | 67.503000 | NaN |
| 1804 | Slovenia | SVN | 1966 | 66.624000 | NaN |
| 2068 | Slovenia | SVN | 1967 | 65.734000 | NaN |
| 2332 | Slovenia | SVN | 1968 | 64.831000 | NaN |
| 2596 | Slovenia | SVN | 1969 | 63.919000 | NaN |
| 2860 | Slovenia | SVN | 1970 | 62.996000 | NaN |
| 3124 | Slovenia | SVN | 1971 | 62.028000 | NaN |
| 3388 | Slovenia | SVN | 1972 | 60.942000 | NaN |
| 3652 | Slovenia | SVN | 1973 | 59.847000 | NaN |
| 3916 | Slovenia | SVN | 1974 | 58.741000 | NaN |
| 4180 | Slovenia | SVN | 1975 | 57.626000 | NaN |
| 4444 | Slovenia | SVN | 1976 | 56.501000 | NaN |
| 4708 | Slovenia | SVN | 1977 | 55.373000 | NaN |
| 4972 | Slovenia | SVN | 1978 | 54.238000 | NaN |
| 5236 | Slovenia | SVN | 1979 | 53.099000 | NaN |
| 5500 | Slovenia | SVN | 1980 | 51.955000 | NaN |
| 5764 | Slovenia | SVN | 1981 | 51.060000 | NaN |
| 6028 | Slovenia | SVN | 1982 | 50.900000 | NaN |
| 6292 | Slovenia | SVN | 1983 | 50.740000 | NaN |
| 6556 | Slovenia | SVN | 1984 | 50.580000 | NaN |
| 6820 | Slovenia | SVN | 1985 | 50.420000 | NaN |
| 7084 | Slovenia | SVN | 1986 | 50.260000 | NaN |
| 7348 | Slovenia | SVN | 1987 | 50.100000 | NaN |
| 7612 | Slovenia | SVN | 1988 | 49.939000 | NaN |
| 7876 | Slovenia | SVN | 1989 | 49.780000 | NaN |
| 8140 | Slovenia | SVN | 1990 | 49.620000 | 100.000000 |
| 8404 | Slovenia | SVN | 1991 | 49.493000 | 100.000000 |
| 8668 | Slovenia | SVN | 1992 | 49.466000 | 100.000000 |
| 8932 | Slovenia | SVN | 1993 | 49.439000 | 100.000000 |
| 9196 | Slovenia | SVN | 1994 | 49.411000 | 100.000000 |
| 9460 | Slovenia | SVN | 1995 | 49.384000 | 100.000000 |
| 9724 | Slovenia | SVN | 1996 | 49.357000 | 100.000000 |
| 9988 | Slovenia | SVN | 1997 | 49.329000 | 100.000000 |
| 10252 | Slovenia | SVN | 1998 | 49.302000 | 100.000000 |
| 10516 | Slovenia | SVN | 1999 | 49.275000 | 100.000000 |
| 10780 | Slovenia | SVN | 2000 | 49.248000 | 100.000000 |
| 11044 | Slovenia | SVN | 2001 | 49.220000 | 100.000000 |
| 11308 | Slovenia | SVN | 2002 | 49.223000 | 100.000000 |
| 11572 | Slovenia | SVN | 2003 | 49.315000 | 100.000000 |
| 11836 | Slovenia | SVN | 2004 | 49.407000 | 100.000000 |
| 12100 | Slovenia | SVN | 2005 | 49.499000 | 100.000000 |
| 12364 | Slovenia | SVN | 2006 | 49.591000 | 100.000000 |
| 12628 | Slovenia | SVN | 2007 | 49.683000 | 100.000000 |
| 12892 | Slovenia | SVN | 2008 | 49.776000 | 100.000000 |
| 13156 | Slovenia | SVN | 2009 | 49.867000 | 100.000000 |
| 13420 | Slovenia | SVN | 2010 | 49.960000 | 100.000000 |
| 13684 | Slovenia | SVN | 2011 | 50.052000 | 100.000000 |
| 13948 | Slovenia | SVN | 2012 | 50.144000 | 100.000000 |
| 14212 | Slovenia | SVN | 2013 | 50.236000 | 100.000000 |
| 14476 | Slovenia | SVN | 2014 | 50.305000 | 100.000000 |
| 14740 | Slovenia | SVN | 2015 | 50.350000 | 100.000000 |
| 15004 | Slovenia | SVN | 2016 | 50.373000 | 100.000000 |
| 15268 | Slovenia | SVN | 2017 | 50.372000 | NaN |
| 216 | Small states | SST | 1960 | 71.798974 | NaN |
| 480 | Small states | SST | 1961 | 71.439343 | NaN |
| 744 | Small states | SST | 1962 | 71.056295 | NaN |
| 1008 | Small states | SST | 1963 | 70.632878 | NaN |
| 1272 | Small states | SST | 1964 | 70.180372 | NaN |
| 1536 | Small states | SST | 1965 | 69.713293 | NaN |
| 1800 | Small states | SST | 1966 | 69.246144 | NaN |
| 2064 | Small states | SST | 1967 | 68.813557 | NaN |
| 2328 | Small states | SST | 1968 | 68.363797 | NaN |
| 2592 | Small states | SST | 1969 | 67.900626 | NaN |
| 2856 | Small states | SST | 1970 | 67.425497 | NaN |
| 3120 | Small states | SST | 1971 | 66.931683 | NaN |
| 3384 | Small states | SST | 1972 | 66.439218 | NaN |
| 3648 | Small states | SST | 1973 | 65.965085 | NaN |
| 3912 | Small states | SST | 1974 | 65.443621 | NaN |
| 4176 | Small states | SST | 1975 | 64.892657 | NaN |
| 4440 | Small states | SST | 1976 | 64.322382 | NaN |
| 4704 | Small states | SST | 1977 | 63.767284 | NaN |
| 4968 | Small states | SST | 1978 | 63.208495 | NaN |
| 5232 | Small states | SST | 1979 | 62.665162 | NaN |
| 5496 | Small states | SST | 1980 | 62.127489 | NaN |
| 5760 | Small states | SST | 1981 | 61.655114 | NaN |
| 6024 | Small states | SST | 1982 | 61.164858 | NaN |
| 6288 | Small states | SST | 1983 | 60.748840 | NaN |
| 6552 | Small states | SST | 1984 | 60.304032 | NaN |
| 6816 | Small states | SST | 1985 | 59.818333 | NaN |
| 7080 | Small states | SST | 1986 | 59.282451 | NaN |
| 7344 | Small states | SST | 1987 | 58.702538 | NaN |
| 7608 | Small states | SST | 1988 | 58.101877 | NaN |
| 7872 | Small states | SST | 1989 | 57.513220 | NaN |
| 8136 | Small states | SST | 1990 | 56.943652 | 52.382577 |
| 8400 | Small states | SST | 1991 | 56.400094 | 53.426262 |
| 8664 | Small states | SST | 1992 | 56.036860 | 53.706521 |
| 8928 | Small states | SST | 1993 | 55.715754 | 54.252850 |
| 9192 | Small states | SST | 1994 | 55.383587 | 54.962554 |
| 9456 | Small states | SST | 1995 | 55.049662 | 55.673043 |
| 9720 | Small states | SST | 1996 | 54.686373 | 56.848092 |
| 9984 | Small states | SST | 1997 | 54.315905 | 57.197020 |
| 10248 | Small states | SST | 1998 | 53.933090 | 57.986154 |
| 10512 | Small states | SST | 1999 | 53.525379 | 59.127512 |
| 10776 | Small states | SST | 2000 | 53.104809 | 60.473747 |
| 11040 | Small states | SST | 2001 | 52.711490 | 62.035616 |
| 11304 | Small states | SST | 2002 | 52.338908 | 62.743147 |
| 11568 | Small states | SST | 2003 | 51.943252 | 63.583571 |
| 11832 | Small states | SST | 2004 | 51.501966 | 64.542726 |
| 12096 | Small states | SST | 2005 | 50.989412 | 65.652201 |
| 12360 | Small states | SST | 2006 | 50.413231 | 66.522056 |
| 12624 | Small states | SST | 2007 | 49.791048 | 67.893297 |
| 12888 | Small states | SST | 2008 | 49.150745 | 68.980749 |
| 13152 | Small states | SST | 2009 | 48.540025 | 69.638513 |
| 13416 | Small states | SST | 2010 | 47.981631 | 70.374693 |
| 13680 | Small states | SST | 2011 | 47.475632 | 72.104036 |
| 13944 | Small states | SST | 2012 | 47.013271 | 73.150606 |
| 14208 | Small states | SST | 2013 | 46.582274 | 73.774478 |
| 14472 | Small states | SST | 2014 | 46.168198 | 75.395851 |
| 14736 | Small states | SST | 2015 | 45.763490 | 76.097493 |
| 15000 | Small states | SST | 2016 | 45.369479 | 76.638649 |
| 15264 | Small states | SST | 2017 | 44.989452 | NaN |
| 207 | Solomon Islands | SLB | 1960 | 94.232000 | NaN |
| 471 | Solomon Islands | SLB | 1961 | 93.962000 | NaN |
| 735 | Solomon Islands | SLB | 1962 | 93.679000 | NaN |
| 999 | Solomon Islands | SLB | 1963 | 93.384000 | NaN |
| 1263 | Solomon Islands | SLB | 1964 | 93.076000 | NaN |
| 1527 | Solomon Islands | SLB | 1965 | 92.755000 | NaN |
| 1791 | Solomon Islands | SLB | 1966 | 92.421000 | NaN |
| 2055 | Solomon Islands | SLB | 1967 | 92.072000 | NaN |
| 2319 | Solomon Islands | SLB | 1968 | 91.708000 | NaN |
| 2583 | Solomon Islands | SLB | 1969 | 91.330000 | NaN |
| 2847 | Solomon Islands | SLB | 1970 | 91.083000 | NaN |
| 3111 | Solomon Islands | SLB | 1971 | 91.042000 | NaN |
| 3375 | Solomon Islands | SLB | 1972 | 91.001000 | NaN |
| 3639 | Solomon Islands | SLB | 1973 | 90.959000 | NaN |
| 3903 | Solomon Islands | SLB | 1974 | 90.917000 | NaN |
| 4167 | Solomon Islands | SLB | 1975 | 90.875000 | NaN |
| 4431 | Solomon Islands | SLB | 1976 | 90.729000 | NaN |
| 4695 | Solomon Islands | SLB | 1977 | 90.417000 | NaN |
| 4959 | Solomon Islands | SLB | 1978 | 90.096000 | NaN |
| 5223 | Solomon Islands | SLB | 1979 | 89.765000 | NaN |
| 5487 | Solomon Islands | SLB | 1980 | 89.424000 | NaN |
| 5751 | Solomon Islands | SLB | 1981 | 89.073000 | NaN |
| 6015 | Solomon Islands | SLB | 1982 | 88.712000 | NaN |
| 6279 | Solomon Islands | SLB | 1983 | 88.341000 | NaN |
| 6543 | Solomon Islands | SLB | 1984 | 87.959000 | NaN |
| 6807 | Solomon Islands | SLB | 1985 | 87.567000 | NaN |
| 7071 | Solomon Islands | SLB | 1986 | 87.163000 | NaN |
| 7335 | Solomon Islands | SLB | 1987 | 86.889000 | NaN |
| 7599 | Solomon Islands | SLB | 1988 | 86.702000 | NaN |
| 7863 | Solomon Islands | SLB | 1989 | 86.514000 | NaN |
| 8127 | Solomon Islands | SLB | 1990 | 86.323000 | 0.010000 |
| 8391 | Solomon Islands | SLB | 1991 | 86.130000 | 0.010000 |
| 8655 | Solomon Islands | SLB | 1992 | 85.935000 | 0.010000 |
| 8919 | Solomon Islands | SLB | 1993 | 85.738000 | 0.010000 |
| 9183 | Solomon Islands | SLB | 1994 | 85.538000 | 0.010000 |
| 9447 | Solomon Islands | SLB | 1995 | 85.336000 | 0.032362 |
| 9711 | Solomon Islands | SLB | 1996 | 85.131000 | 0.206765 |
| 9975 | Solomon Islands | SLB | 1997 | 84.924000 | 0.823472 |
| 10239 | Solomon Islands | SLB | 1998 | 84.715000 | 1.441139 |
| 10503 | Solomon Islands | SLB | 1999 | 84.504000 | 15.700000 |
| 10767 | Solomon Islands | SLB | 2000 | 84.187000 | 6.568209 |
| 11031 | Solomon Islands | SLB | 2001 | 83.799000 | 9.101857 |
| 11295 | Solomon Islands | SLB | 2002 | 83.403000 | 11.623160 |
| 11559 | Solomon Islands | SLB | 2003 | 82.999000 | 14.138179 |
| 11823 | Solomon Islands | SLB | 2004 | 82.587000 | 16.652977 |
| 12087 | Solomon Islands | SLB | 2005 | 82.168000 | 19.173616 |
| 12351 | Solomon Islands | SLB | 2006 | 81.741000 | 14.400000 |
| 12615 | Solomon Islands | SLB | 2007 | 81.306000 | 12.900000 |
| 12879 | Solomon Islands | SLB | 2008 | 80.862000 | 26.829710 |
| 13143 | Solomon Islands | SLB | 2009 | 80.411000 | 21.200000 |
| 13407 | Solomon Islands | SLB | 2010 | 79.952000 | 32.035858 |
| 13671 | Solomon Islands | SLB | 2011 | 79.494000 | 34.662964 |
| 13935 | Solomon Islands | SLB | 2012 | 79.036000 | 37.302082 |
| 14199 | Solomon Islands | SLB | 2013 | 78.579000 | 44.700000 |
| 14463 | Solomon Islands | SLB | 2014 | 78.124000 | 42.604355 |
| 14727 | Solomon Islands | SLB | 2015 | 77.671000 | 55.100000 |
| 14991 | Solomon Islands | SLB | 2016 | 77.221000 | 47.919144 |
| 15255 | Solomon Islands | SLB | 2017 | 76.774000 | NaN |
| 211 | Somalia | SOM | 1960 | 82.688000 | NaN |
| 475 | Somalia | SOM | 1961 | 82.165000 | NaN |
| 739 | Somalia | SOM | 1962 | 81.628000 | NaN |
| 1003 | Somalia | SOM | 1963 | 81.080000 | NaN |
| 1267 | Somalia | SOM | 1964 | 80.547000 | NaN |
| 1531 | Somalia | SOM | 1965 | 80.036000 | NaN |
| 1795 | Somalia | SOM | 1966 | 79.513000 | NaN |
| 2059 | Somalia | SOM | 1967 | 78.980000 | NaN |
| 2323 | Somalia | SOM | 1968 | 78.437000 | NaN |
| 2587 | Somalia | SOM | 1969 | 77.885000 | NaN |
| 2851 | Somalia | SOM | 1970 | 77.322000 | NaN |
| 3115 | Somalia | SOM | 1971 | 76.749000 | NaN |
| 3379 | Somalia | SOM | 1972 | 76.165000 | NaN |
| 3643 | Somalia | SOM | 1973 | 75.573000 | NaN |
| 3907 | Somalia | SOM | 1974 | 74.970000 | NaN |
| 4171 | Somalia | SOM | 1975 | 74.502000 | NaN |
| 4435 | Somalia | SOM | 1976 | 74.252000 | NaN |
| 4699 | Somalia | SOM | 1977 | 74.001000 | NaN |
| 4963 | Somalia | SOM | 1978 | 73.748000 | NaN |
| 5227 | Somalia | SOM | 1979 | 73.493000 | NaN |
| 5491 | Somalia | SOM | 1980 | 73.237000 | NaN |
| 5755 | Somalia | SOM | 1981 | 72.979000 | NaN |
| 6019 | Somalia | SOM | 1982 | 72.720000 | NaN |
| 6283 | Somalia | SOM | 1983 | 72.459000 | NaN |
| 6547 | Somalia | SOM | 1984 | 72.196000 | NaN |
| 6811 | Somalia | SOM | 1985 | 71.933000 | NaN |
| 7075 | Somalia | SOM | 1986 | 71.667000 | NaN |
| 7339 | Somalia | SOM | 1987 | 71.373000 | NaN |
| 7603 | Somalia | SOM | 1988 | 71.031000 | NaN |
| 7867 | Somalia | SOM | 1989 | 70.688000 | NaN |
| 8131 | Somalia | SOM | 1990 | 70.342000 | 0.010000 |
| 8395 | Somalia | SOM | 1991 | 69.993000 | 0.010000 |
| 8659 | Somalia | SOM | 1992 | 69.641000 | 0.010000 |
| 8923 | Somalia | SOM | 1993 | 69.289000 | 0.010000 |
| 9187 | Somalia | SOM | 1994 | 68.933000 | 0.024700 |
| 9451 | Somalia | SOM | 1995 | 68.575000 | 0.136908 |
| 9715 | Somalia | SOM | 1996 | 68.215000 | 0.525144 |
| 9979 | Somalia | SOM | 1997 | 67.853000 | 0.950778 |
| 10243 | Somalia | SOM | 1998 | 67.489000 | 2.487472 |
| 10507 | Somalia | SOM | 1999 | 67.122000 | 4.002752 |
| 10771 | Somalia | SOM | 2000 | 66.753000 | 5.495080 |
| 11035 | Somalia | SOM | 2001 | 66.383000 | 6.968997 |
| 11299 | Somalia | SOM | 2002 | 66.010000 | 7.400000 |
| 11563 | Somalia | SOM | 2003 | 65.629000 | 9.885856 |
| 11827 | Somalia | SOM | 2004 | 65.240000 | 11.340922 |
| 12091 | Somalia | SOM | 2005 | 64.844000 | 12.801831 |
| 12355 | Somalia | SOM | 2006 | 64.439000 | 15.233786 |
| 12619 | Somalia | SOM | 2007 | 64.026000 | 15.765429 |
| 12883 | Somalia | SOM | 2008 | 63.606000 | 17.278732 |
| 13147 | Somalia | SOM | 2009 | 63.177000 | 18.813063 |
| 13411 | Somalia | SOM | 2010 | 62.741000 | 20.365417 |
| 13675 | Somalia | SOM | 2011 | 62.298000 | 21.932791 |
| 13939 | Somalia | SOM | 2012 | 61.847000 | 23.512180 |
| 14203 | Somalia | SOM | 2013 | 61.388000 | 25.100582 |
| 14467 | Somalia | SOM | 2014 | 60.922000 | 26.694992 |
| 14731 | Somalia | SOM | 2015 | 60.449000 | 28.292404 |
| 14995 | Somalia | SOM | 2016 | 59.970000 | 29.890318 |
| 15259 | Somalia | SOM | 2017 | 59.483000 | NaN |
| 261 | South Africa | ZAF | 1960 | 53.381000 | NaN |
| 525 | South Africa | ZAF | 1961 | 53.207000 | NaN |
| 789 | South Africa | ZAF | 1962 | 53.094000 | NaN |
| 1053 | South Africa | ZAF | 1963 | 52.980000 | NaN |
| 1317 | South Africa | ZAF | 1964 | 52.866000 | NaN |
| 1581 | South Africa | ZAF | 1965 | 52.752000 | NaN |
| 1845 | South Africa | ZAF | 1966 | 52.638000 | NaN |
| 2109 | South Africa | ZAF | 1967 | 52.524000 | NaN |
| 2373 | South Africa | ZAF | 1968 | 52.410000 | NaN |
| 2637 | South Africa | ZAF | 1969 | 52.296000 | NaN |
| 2901 | South Africa | ZAF | 1970 | 52.191000 | NaN |
| 3165 | South Africa | ZAF | 1971 | 52.131000 | NaN |
| 3429 | South Africa | ZAF | 1972 | 52.071000 | NaN |
| 3693 | South Africa | ZAF | 1973 | 52.011000 | NaN |
| 3957 | South Africa | ZAF | 1974 | 51.951000 | NaN |
| 4221 | South Africa | ZAF | 1975 | 51.891000 | NaN |
| 4485 | South Africa | ZAF | 1976 | 51.831000 | NaN |
| 4749 | South Africa | ZAF | 1977 | 51.771000 | NaN |
| 5013 | South Africa | ZAF | 1978 | 51.711000 | NaN |
| 5277 | South Africa | ZAF | 1979 | 51.651000 | NaN |
| 5541 | South Africa | ZAF | 1980 | 51.575000 | NaN |
| 5805 | South Africa | ZAF | 1981 | 51.409000 | NaN |
| 6069 | South Africa | ZAF | 1982 | 51.244000 | NaN |
| 6333 | South Africa | ZAF | 1983 | 51.078000 | NaN |
| 6597 | South Africa | ZAF | 1984 | 50.912000 | NaN |
| 6861 | South Africa | ZAF | 1985 | 50.628000 | NaN |
| 7125 | South Africa | ZAF | 1986 | 50.095000 | NaN |
| 7389 | South Africa | ZAF | 1987 | 49.561000 | NaN |
| 7653 | South Africa | ZAF | 1988 | 49.028000 | NaN |
| 7917 | South Africa | ZAF | 1989 | 48.495000 | NaN |
| 8181 | South Africa | ZAF | 1990 | 47.963000 | 59.337940 |
| 8445 | South Africa | ZAF | 1991 | 47.446000 | 60.575081 |
| 8709 | South Africa | ZAF | 1992 | 46.962000 | 61.811710 |
| 8973 | South Africa | ZAF | 1993 | 46.479000 | 63.045284 |
| 9237 | South Africa | ZAF | 1994 | 45.996000 | 64.272736 |
| 9501 | South Africa | ZAF | 1995 | 45.514000 | 65.491013 |
| 9765 | South Africa | ZAF | 1996 | 45.033000 | 57.600000 |
| 10029 | South Africa | ZAF | 1997 | 44.551000 | 67.887794 |
| 10293 | South Africa | ZAF | 1998 | 44.070000 | 64.900000 |
| 10557 | South Africa | ZAF | 1999 | 43.589000 | 70.211159 |
| 10821 | South Africa | ZAF | 2000 | 43.109000 | 71.339180 |
| 11085 | South Africa | ZAF | 2001 | 42.632000 | 70.200000 |
| 11349 | South Africa | ZAF | 2002 | 42.102000 | 77.100000 |
| 11613 | South Africa | ZAF | 2003 | 41.554000 | 78.800000 |
| 11877 | South Africa | ZAF | 2004 | 41.007000 | 80.900000 |
| 12141 | South Africa | ZAF | 2005 | 40.464000 | 80.900000 |
| 12405 | South Africa | ZAF | 2006 | 39.923000 | 80.700000 |
| 12669 | South Africa | ZAF | 2007 | 39.384000 | 82.000000 |
| 12933 | South Africa | ZAF | 2008 | 38.846000 | 81.900000 |
| 13197 | South Africa | ZAF | 2009 | 38.313000 | 82.700000 |
| 13461 | South Africa | ZAF | 2010 | 37.782000 | 82.900000 |
| 13725 | South Africa | ZAF | 2011 | 37.254000 | 84.700000 |
| 13989 | South Africa | ZAF | 2012 | 36.728000 | 85.300000 |
| 14253 | South Africa | ZAF | 2013 | 36.212000 | 85.400000 |
| 14517 | South Africa | ZAF | 2014 | 35.702000 | 86.000000 |
| 14781 | South Africa | ZAF | 2015 | 35.199000 | 85.500000 |
| 15045 | South Africa | ZAF | 2016 | 34.705000 | 84.200000 |
| 15309 | South Africa | ZAF | 2017 | 34.218000 | NaN |
| 202 | South Asia | SAS | 1960 | 83.264979 | NaN |
| 466 | South Asia | SAS | 1961 | 83.133571 | NaN |
| 730 | South Asia | SAS | 1962 | 82.946153 | NaN |
| 994 | South Asia | SAS | 1963 | 82.756975 | NaN |
| 1258 | South Asia | SAS | 1964 | 82.561748 | NaN |
| 1522 | South Asia | SAS | 1965 | 82.366251 | NaN |
| 1786 | South Asia | SAS | 1966 | 82.169157 | NaN |
| 2050 | South Asia | SAS | 1967 | 81.969924 | NaN |
| 2314 | South Asia | SAS | 1968 | 81.767404 | NaN |
| 2578 | South Asia | SAS | 1969 | 81.559433 | NaN |
| 2842 | South Asia | SAS | 1970 | 81.344084 | NaN |
| 3106 | South Asia | SAS | 1971 | 81.096634 | NaN |
| 3370 | South Asia | SAS | 1972 | 80.771514 | NaN |
| 3634 | South Asia | SAS | 1973 | 80.440180 | NaN |
| 3898 | South Asia | SAS | 1974 | 80.089782 | NaN |
| 4162 | South Asia | SAS | 1975 | 79.710269 | NaN |
| 4426 | South Asia | SAS | 1976 | 79.324086 | NaN |
| 4690 | South Asia | SAS | 1977 | 78.930220 | NaN |
| 4954 | South Asia | SAS | 1978 | 78.526696 | NaN |
| 5218 | South Asia | SAS | 1979 | 78.111748 | NaN |
| 5482 | South Asia | SAS | 1980 | 77.686524 | NaN |
| 5746 | South Asia | SAS | 1981 | 77.312719 | NaN |
| 6010 | South Asia | SAS | 1982 | 77.060990 | NaN |
| 6274 | South Asia | SAS | 1983 | 76.806110 | NaN |
| 6538 | South Asia | SAS | 1984 | 76.548650 | NaN |
| 6802 | South Asia | SAS | 1985 | 76.290368 | NaN |
| 7066 | South Asia | SAS | 1986 | 76.030314 | NaN |
| 7330 | South Asia | SAS | 1987 | 75.769055 | NaN |
| 7594 | South Asia | SAS | 1988 | 75.505936 | NaN |
| 7858 | South Asia | SAS | 1989 | 75.241867 | NaN |
| 8122 | South Asia | SAS | 1990 | 74.978090 | 40.565788 |
| 8386 | South Asia | SAS | 1991 | 74.727508 | 42.345565 |
| 8650 | South Asia | SAS | 1992 | 74.504762 | 43.866611 |
| 8914 | South Asia | SAS | 1993 | 74.281004 | 47.562339 |
| 9178 | South Asia | SAS | 1994 | 74.054722 | 47.129764 |
| 9442 | South Asia | SAS | 1995 | 73.826171 | 48.873196 |
| 9706 | South Asia | SAS | 1996 | 73.593075 | 50.670163 |
| 9970 | South Asia | SAS | 1997 | 73.357129 | 51.943458 |
| 10234 | South Asia | SAS | 1998 | 73.118551 | 53.728085 |
| 10498 | South Asia | SAS | 1999 | 72.877262 | 57.263200 |
| 10762 | South Asia | SAS | 2000 | 72.633758 | 57.121711 |
| 11026 | South Asia | SAS | 2001 | 72.350692 | 54.773615 |
| 11290 | South Asia | SAS | 2002 | 71.999276 | 60.443325 |
| 11554 | South Asia | SAS | 2003 | 71.643794 | 62.081525 |
| 11818 | South Asia | SAS | 2004 | 71.282776 | 62.741860 |
| 12082 | South Asia | SAS | 2005 | 70.917578 | 65.574514 |
| 12346 | South Asia | SAS | 2006 | 70.547154 | 67.080666 |
| 12610 | South Asia | SAS | 2007 | 70.171048 | 69.010831 |
| 12874 | South Asia | SAS | 2008 | 69.789716 | 70.641563 |
| 13138 | South Asia | SAS | 2009 | 69.405404 | 74.025057 |
| 13402 | South Asia | SAS | 2010 | 69.017292 | 75.117519 |
| 13666 | South Asia | SAS | 2011 | 68.624813 | 69.326529 |
| 13930 | South Asia | SAS | 2012 | 68.223951 | 79.352935 |
| 14194 | South Asia | SAS | 2013 | 67.816073 | 79.318324 |
| 14458 | South Asia | SAS | 2014 | 67.399895 | 81.448690 |
| 14722 | South Asia | SAS | 2015 | 66.975278 | 86.513987 |
| 14986 | South Asia | SAS | 2016 | 66.543482 | 85.569150 |
| 15250 | South Asia | SAS | 2017 | 66.102820 | NaN |
| 238 | South Asia (IDA & IBRD) | TSA | 1960 | 83.264979 | NaN |
| 502 | South Asia (IDA & IBRD) | TSA | 1961 | 83.133571 | NaN |
| 766 | South Asia (IDA & IBRD) | TSA | 1962 | 82.946153 | NaN |
| 1030 | South Asia (IDA & IBRD) | TSA | 1963 | 82.756975 | NaN |
| 1294 | South Asia (IDA & IBRD) | TSA | 1964 | 82.561748 | NaN |
| 1558 | South Asia (IDA & IBRD) | TSA | 1965 | 82.366251 | NaN |
| 1822 | South Asia (IDA & IBRD) | TSA | 1966 | 82.169157 | NaN |
| 2086 | South Asia (IDA & IBRD) | TSA | 1967 | 81.969924 | NaN |
| 2350 | South Asia (IDA & IBRD) | TSA | 1968 | 81.767404 | NaN |
| 2614 | South Asia (IDA & IBRD) | TSA | 1969 | 81.559433 | NaN |
| 2878 | South Asia (IDA & IBRD) | TSA | 1970 | 81.344084 | NaN |
| 3142 | South Asia (IDA & IBRD) | TSA | 1971 | 81.096634 | NaN |
| 3406 | South Asia (IDA & IBRD) | TSA | 1972 | 80.771514 | NaN |
| 3670 | South Asia (IDA & IBRD) | TSA | 1973 | 80.440180 | NaN |
| 3934 | South Asia (IDA & IBRD) | TSA | 1974 | 80.089782 | NaN |
| 4198 | South Asia (IDA & IBRD) | TSA | 1975 | 79.710269 | NaN |
| 4462 | South Asia (IDA & IBRD) | TSA | 1976 | 79.324086 | NaN |
| 4726 | South Asia (IDA & IBRD) | TSA | 1977 | 78.930220 | NaN |
| 4990 | South Asia (IDA & IBRD) | TSA | 1978 | 78.526696 | NaN |
| 5254 | South Asia (IDA & IBRD) | TSA | 1979 | 78.111748 | NaN |
| 5518 | South Asia (IDA & IBRD) | TSA | 1980 | 77.686524 | NaN |
| 5782 | South Asia (IDA & IBRD) | TSA | 1981 | 77.312719 | NaN |
| 6046 | South Asia (IDA & IBRD) | TSA | 1982 | 77.060990 | NaN |
| 6310 | South Asia (IDA & IBRD) | TSA | 1983 | 76.806110 | NaN |
| 6574 | South Asia (IDA & IBRD) | TSA | 1984 | 76.548650 | NaN |
| 6838 | South Asia (IDA & IBRD) | TSA | 1985 | 76.290368 | NaN |
| 7102 | South Asia (IDA & IBRD) | TSA | 1986 | 76.030314 | NaN |
| 7366 | South Asia (IDA & IBRD) | TSA | 1987 | 75.769055 | NaN |
| 7630 | South Asia (IDA & IBRD) | TSA | 1988 | 75.505936 | NaN |
| 7894 | South Asia (IDA & IBRD) | TSA | 1989 | 75.241867 | NaN |
| 8158 | South Asia (IDA & IBRD) | TSA | 1990 | 74.978090 | 40.565788 |
| 8422 | South Asia (IDA & IBRD) | TSA | 1991 | 74.727508 | 42.345565 |
| 8686 | South Asia (IDA & IBRD) | TSA | 1992 | 74.504762 | 43.866611 |
| 8950 | South Asia (IDA & IBRD) | TSA | 1993 | 74.281004 | 47.562339 |
| 9214 | South Asia (IDA & IBRD) | TSA | 1994 | 74.054722 | 47.129764 |
| 9478 | South Asia (IDA & IBRD) | TSA | 1995 | 73.826171 | 48.873196 |
| 9742 | South Asia (IDA & IBRD) | TSA | 1996 | 73.593075 | 50.670163 |
| 10006 | South Asia (IDA & IBRD) | TSA | 1997 | 73.357129 | 51.943458 |
| 10270 | South Asia (IDA & IBRD) | TSA | 1998 | 73.118551 | 53.728085 |
| 10534 | South Asia (IDA & IBRD) | TSA | 1999 | 72.877262 | 57.263200 |
| 10798 | South Asia (IDA & IBRD) | TSA | 2000 | 72.633758 | 57.121711 |
| 11062 | South Asia (IDA & IBRD) | TSA | 2001 | 72.350692 | 54.773615 |
| 11326 | South Asia (IDA & IBRD) | TSA | 2002 | 71.999276 | 60.443325 |
| 11590 | South Asia (IDA & IBRD) | TSA | 2003 | 71.643794 | 62.081525 |
| 11854 | South Asia (IDA & IBRD) | TSA | 2004 | 71.282776 | 62.741860 |
| 12118 | South Asia (IDA & IBRD) | TSA | 2005 | 70.917578 | 65.574514 |
| 12382 | South Asia (IDA & IBRD) | TSA | 2006 | 70.547154 | 67.080666 |
| 12646 | South Asia (IDA & IBRD) | TSA | 2007 | 70.171048 | 69.010831 |
| 12910 | South Asia (IDA & IBRD) | TSA | 2008 | 69.789716 | 70.641563 |
| 13174 | South Asia (IDA & IBRD) | TSA | 2009 | 69.405404 | 74.025057 |
| 13438 | South Asia (IDA & IBRD) | TSA | 2010 | 69.017292 | 75.117519 |
| 13702 | South Asia (IDA & IBRD) | TSA | 2011 | 68.624813 | 69.326529 |
| 13966 | South Asia (IDA & IBRD) | TSA | 2012 | 68.223951 | 79.352935 |
| 14230 | South Asia (IDA & IBRD) | TSA | 2013 | 67.816073 | 79.318324 |
| 14494 | South Asia (IDA & IBRD) | TSA | 2014 | 67.399895 | 81.448690 |
| 14758 | South Asia (IDA & IBRD) | TSA | 2015 | 66.975278 | 86.513987 |
| 15022 | South Asia (IDA & IBRD) | TSA | 2016 | 66.543482 | 85.569150 |
| 15286 | South Asia (IDA & IBRD) | TSA | 2017 | 66.102820 | NaN |
| 214 | South Sudan | SSD | 1960 | 91.252000 | NaN |
| 478 | South Sudan | SSD | 1961 | 91.263000 | NaN |
| 742 | South Sudan | SSD | 1962 | 91.275000 | NaN |
| 1006 | South Sudan | SSD | 1963 | 91.286000 | NaN |
| 1270 | South Sudan | SSD | 1964 | 91.298000 | NaN |
| 1534 | South Sudan | SSD | 1965 | 91.310000 | NaN |
| 1798 | South Sudan | SSD | 1966 | 91.321000 | NaN |
| 2062 | South Sudan | SSD | 1967 | 91.333000 | NaN |
| 2326 | South Sudan | SSD | 1968 | 91.344000 | NaN |
| 2590 | South Sudan | SSD | 1969 | 91.355000 | NaN |
| 2854 | South Sudan | SSD | 1970 | 91.367000 | NaN |
| 3118 | South Sudan | SSD | 1971 | 91.378000 | NaN |
| 3382 | South Sudan | SSD | 1972 | 91.390000 | NaN |
| 3646 | South Sudan | SSD | 1973 | 91.401000 | NaN |
| 3910 | South Sudan | SSD | 1974 | 91.413000 | NaN |
| 4174 | South Sudan | SSD | 1975 | 91.424000 | NaN |
| 4438 | South Sudan | SSD | 1976 | 91.435000 | NaN |
| 4702 | South Sudan | SSD | 1977 | 91.447000 | NaN |
| 4966 | South Sudan | SSD | 1978 | 91.458000 | NaN |
| 5230 | South Sudan | SSD | 1979 | 91.469000 | NaN |
| 5494 | South Sudan | SSD | 1980 | 91.481000 | NaN |
| 5758 | South Sudan | SSD | 1981 | 91.492000 | NaN |
| 6022 | South Sudan | SSD | 1982 | 91.503000 | NaN |
| 6286 | South Sudan | SSD | 1983 | 91.292000 | NaN |
| 6550 | South Sudan | SSD | 1984 | 90.739000 | NaN |
| 6814 | South Sudan | SSD | 1985 | 90.156000 | NaN |
| 7078 | South Sudan | SSD | 1986 | 89.539000 | NaN |
| 7342 | South Sudan | SSD | 1987 | 88.889000 | NaN |
| 7606 | South Sudan | SSD | 1988 | 88.203000 | NaN |
| 7870 | South Sudan | SSD | 1989 | 87.483000 | NaN |
| 8134 | South Sudan | SSD | 1990 | 86.724000 | 0.010000 |
| 8398 | South Sudan | SSD | 1991 | 85.926000 | 0.010000 |
| 8662 | South Sudan | SSD | 1992 | 85.088000 | 0.010000 |
| 8926 | South Sudan | SSD | 1993 | 84.374000 | 0.010000 |
| 9190 | South Sudan | SSD | 1994 | 84.251000 | 0.010000 |
| 9454 | South Sudan | SSD | 1995 | 84.127000 | 0.010000 |
| 9718 | South Sudan | SSD | 1996 | 84.003000 | 0.010000 |
| 9982 | South Sudan | SSD | 1997 | 83.877000 | 0.010000 |
| 10246 | South Sudan | SSD | 1998 | 83.751000 | 0.010000 |
| 10510 | South Sudan | SSD | 1999 | 83.624000 | 0.010000 |
| 10774 | South Sudan | SSD | 2000 | 83.496000 | 0.010000 |
| 11038 | South Sudan | SSD | 2001 | 83.368000 | 0.010000 |
| 11302 | South Sudan | SSD | 2002 | 83.239000 | 0.010000 |
| 11566 | South Sudan | SSD | 2003 | 83.109000 | 0.010000 |
| 11830 | South Sudan | SSD | 2004 | 82.977000 | 0.011315 |
| 12094 | South Sudan | SSD | 2005 | 82.846000 | 0.033699 |
| 12358 | South Sudan | SSD | 2006 | 82.713000 | 0.155208 |
| 12622 | South Sudan | SSD | 2007 | 82.580000 | 0.502950 |
| 12886 | South Sudan | SSD | 2008 | 82.445000 | 1.021752 |
| 13150 | South Sudan | SSD | 2009 | 82.301000 | 3.000000 |
| 13414 | South Sudan | SSD | 2010 | 82.145000 | 1.500000 |
| 13678 | South Sudan | SSD | 2011 | 81.978000 | 3.918669 |
| 13942 | South Sudan | SSD | 2012 | 81.800000 | 4.912345 |
| 14206 | South Sudan | SSD | 2013 | 81.610000 | 5.915033 |
| 14470 | South Sudan | SSD | 2014 | 81.409000 | 6.923728 |
| 14734 | South Sudan | SSD | 2015 | 81.196000 | 7.935428 |
| 14998 | South Sudan | SSD | 2016 | 80.970000 | 8.947628 |
| 15262 | South Sudan | SSD | 2017 | 80.732000 | NaN |
| 68 | Spain | ESP | 1960 | 43.433000 | NaN |
| 332 | Spain | ESP | 1961 | 42.697000 | NaN |
| 596 | Spain | ESP | 1962 | 41.692000 | NaN |
| 860 | Spain | ESP | 1963 | 40.694000 | NaN |
| 1124 | Spain | ESP | 1964 | 39.702000 | NaN |
| 1388 | Spain | ESP | 1965 | 38.722000 | NaN |
| 1652 | Spain | ESP | 1966 | 37.749000 | NaN |
| 1916 | Spain | ESP | 1967 | 36.786000 | NaN |
| 2180 | Spain | ESP | 1968 | 35.832000 | NaN |
| 2444 | Spain | ESP | 1969 | 34.892000 | NaN |
| 2708 | Spain | ESP | 1970 | 33.962000 | NaN |
| 2972 | Spain | ESP | 1971 | 33.152000 | NaN |
| 3236 | Spain | ESP | 1972 | 32.459000 | NaN |
| 3500 | Spain | ESP | 1973 | 31.776000 | NaN |
| 3764 | Spain | ESP | 1974 | 31.099000 | NaN |
| 4028 | Spain | ESP | 1975 | 30.430000 | NaN |
| 4292 | Spain | ESP | 1976 | 29.769000 | NaN |
| 4556 | Spain | ESP | 1977 | 29.117000 | NaN |
| 4820 | Spain | ESP | 1978 | 28.473000 | NaN |
| 5084 | Spain | ESP | 1979 | 27.838000 | NaN |
| 5348 | Spain | ESP | 1980 | 27.211000 | NaN |
| 5612 | Spain | ESP | 1981 | 26.721000 | NaN |
| 5876 | Spain | ESP | 1982 | 26.485000 | NaN |
| 6140 | Spain | ESP | 1983 | 26.251000 | NaN |
| 6404 | Spain | ESP | 1984 | 26.018000 | NaN |
| 6668 | Spain | ESP | 1985 | 25.787000 | NaN |
| 6932 | Spain | ESP | 1986 | 25.556000 | NaN |
| 7196 | Spain | ESP | 1987 | 25.327000 | NaN |
| 7460 | Spain | ESP | 1988 | 25.100000 | NaN |
| 7724 | Spain | ESP | 1989 | 24.874000 | NaN |
| 7988 | Spain | ESP | 1990 | 24.649000 | 100.000000 |
| 8252 | Spain | ESP | 1991 | 24.472000 | 100.000000 |
| 8516 | Spain | ESP | 1992 | 24.390000 | 100.000000 |
| 8780 | Spain | ESP | 1993 | 24.308000 | 100.000000 |
| 9044 | Spain | ESP | 1994 | 24.226000 | 100.000000 |
| 9308 | Spain | ESP | 1995 | 24.144000 | 100.000000 |
| 9572 | Spain | ESP | 1996 | 24.062000 | 100.000000 |
| 9836 | Spain | ESP | 1997 | 23.981000 | 100.000000 |
| 10100 | Spain | ESP | 1998 | 23.900000 | 100.000000 |
| 10364 | Spain | ESP | 1999 | 23.819000 | 100.000000 |
| 10628 | Spain | ESP | 2000 | 23.738000 | 100.000000 |
| 10892 | Spain | ESP | 2001 | 23.657000 | 100.000000 |
| 11156 | Spain | ESP | 2002 | 23.467000 | 100.000000 |
| 11420 | Spain | ESP | 2003 | 23.222000 | 100.000000 |
| 11684 | Spain | ESP | 2004 | 22.978000 | 100.000000 |
| 11948 | Spain | ESP | 2005 | 22.737000 | 100.000000 |
| 12212 | Spain | ESP | 2006 | 22.498000 | 100.000000 |
| 12476 | Spain | ESP | 2007 | 22.260000 | 100.000000 |
| 12740 | Spain | ESP | 2008 | 22.024000 | 100.000000 |
| 13004 | Spain | ESP | 2009 | 21.790000 | 100.000000 |
| 13268 | Spain | ESP | 2010 | 21.558000 | 100.000000 |
| 13532 | Spain | ESP | 2011 | 21.327000 | 100.000000 |
| 13796 | Spain | ESP | 2012 | 21.098000 | 100.000000 |
| 14060 | Spain | ESP | 2013 | 20.871000 | 100.000000 |
| 14324 | Spain | ESP | 2014 | 20.645000 | 100.000000 |
| 14588 | Spain | ESP | 2015 | 20.421000 | 100.000000 |
| 14852 | Spain | ESP | 2016 | 20.198000 | 100.000000 |
| 15116 | Spain | ESP | 2017 | 19.976000 | NaN |
| 136 | Sri Lanka | LKA | 1960 | 83.569000 | NaN |
| 400 | Sri Lanka | LKA | 1961 | 83.408000 | NaN |
| 664 | Sri Lanka | LKA | 1962 | 83.247000 | NaN |
| 928 | Sri Lanka | LKA | 1963 | 83.084000 | NaN |
| 1192 | Sri Lanka | LKA | 1964 | 82.733000 | NaN |
| 1456 | Sri Lanka | LKA | 1965 | 82.374000 | NaN |
| 1720 | Sri Lanka | LKA | 1966 | 82.008000 | NaN |
| 1984 | Sri Lanka | LKA | 1967 | 81.636000 | NaN |
| 2248 | Sri Lanka | LKA | 1968 | 81.258000 | NaN |
| 2512 | Sri Lanka | LKA | 1969 | 80.875000 | NaN |
| 2776 | Sri Lanka | LKA | 1970 | 80.486000 | NaN |
| 3040 | Sri Lanka | LKA | 1971 | 80.090000 | NaN |
| 3304 | Sri Lanka | LKA | 1972 | 80.085000 | NaN |
| 3568 | Sri Lanka | LKA | 1973 | 80.230000 | NaN |
| 3832 | Sri Lanka | LKA | 1974 | 80.374000 | NaN |
| 4096 | Sri Lanka | LKA | 1975 | 80.517000 | NaN |
| 4360 | Sri Lanka | LKA | 1976 | 80.660000 | NaN |
| 4624 | Sri Lanka | LKA | 1977 | 80.801000 | NaN |
| 4888 | Sri Lanka | LKA | 1978 | 80.942000 | NaN |
| 5152 | Sri Lanka | LKA | 1979 | 81.082000 | NaN |
| 5416 | Sri Lanka | LKA | 1980 | 81.221000 | NaN |
| 5680 | Sri Lanka | LKA | 1981 | 81.324000 | NaN |
| 5944 | Sri Lanka | LKA | 1982 | 81.336000 | NaN |
| 6208 | Sri Lanka | LKA | 1983 | 81.348000 | NaN |
| 6472 | Sri Lanka | LKA | 1984 | 81.361000 | NaN |
| 6736 | Sri Lanka | LKA | 1985 | 81.373000 | NaN |
| 7000 | Sri Lanka | LKA | 1986 | 81.385000 | NaN |
| 7264 | Sri Lanka | LKA | 1987 | 81.398000 | NaN |
| 7528 | Sri Lanka | LKA | 1988 | 81.410000 | NaN |
| 7792 | Sri Lanka | LKA | 1989 | 81.422000 | NaN |
| 8056 | Sri Lanka | LKA | 1990 | 81.434000 | 52.937641 |
| 8320 | Sri Lanka | LKA | 1991 | 81.447000 | 54.639511 |
| 8584 | Sri Lanka | LKA | 1992 | 81.459000 | 56.340874 |
| 8848 | Sri Lanka | LKA | 1993 | 81.471000 | 58.039173 |
| 9112 | Sri Lanka | LKA | 1994 | 81.484000 | 59.731358 |
| 9376 | Sri Lanka | LKA | 1995 | 81.496000 | 61.414364 |
| 9640 | Sri Lanka | LKA | 1996 | 81.508000 | 63.085133 |
| 9904 | Sri Lanka | LKA | 1997 | 81.520000 | 64.740608 |
| 10168 | Sri Lanka | LKA | 1998 | 81.533000 | 66.377731 |
| 10432 | Sri Lanka | LKA | 1999 | 81.545000 | 67.993431 |
| 10696 | Sri Lanka | LKA | 2000 | 81.557000 | 69.586189 |
| 10960 | Sri Lanka | LKA | 2001 | 81.569000 | 63.600000 |
| 11224 | Sri Lanka | LKA | 2002 | 81.582000 | 80.700000 |
| 11488 | Sri Lanka | LKA | 2003 | 81.594000 | 74.278244 |
| 11752 | Sri Lanka | LKA | 2004 | 81.606000 | 75.833733 |
| 12016 | Sri Lanka | LKA | 2005 | 81.618000 | 77.395065 |
| 12280 | Sri Lanka | LKA | 2006 | 81.630000 | 78.968307 |
| 12544 | Sri Lanka | LKA | 2007 | 81.643000 | 80.000000 |
| 12808 | Sri Lanka | LKA | 2008 | 81.655000 | 82.173248 |
| 13072 | Sri Lanka | LKA | 2009 | 81.667000 | 83.807999 |
| 13336 | Sri Lanka | LKA | 2010 | 81.679000 | 85.300000 |
| 13600 | Sri Lanka | LKA | 2011 | 81.691000 | 87.760000 |
| 13864 | Sri Lanka | LKA | 2012 | 81.703000 | 88.808395 |
| 14128 | Sri Lanka | LKA | 2013 | 81.700000 | 90.200000 |
| 14392 | Sri Lanka | LKA | 2014 | 81.680000 | 92.192062 |
| 14656 | Sri Lanka | LKA | 2015 | 81.644000 | 93.889900 |
| 14920 | Sri Lanka | LKA | 2016 | 81.593000 | 95.588234 |
| 15184 | Sri Lanka | LKA | 2017 | 81.525000 | NaN |
| 123 | St. Kitts and Nevis | KNA | 1960 | 72.356000 | NaN |
| 387 | St. Kitts and Nevis | KNA | 1961 | 71.731000 | NaN |
| 651 | St. Kitts and Nevis | KNA | 1962 | 71.097000 | NaN |
| 915 | St. Kitts and Nevis | KNA | 1963 | 70.455000 | NaN |
| 1179 | St. Kitts and Nevis | KNA | 1964 | 69.803000 | NaN |
| 1443 | St. Kitts and Nevis | KNA | 1965 | 69.145000 | NaN |
| 1707 | St. Kitts and Nevis | KNA | 1966 | 68.479000 | NaN |
| 1971 | St. Kitts and Nevis | KNA | 1967 | 67.804000 | NaN |
| 2235 | St. Kitts and Nevis | KNA | 1968 | 67.122000 | NaN |
| 2499 | St. Kitts and Nevis | KNA | 1969 | 66.433000 | NaN |
| 2763 | St. Kitts and Nevis | KNA | 1970 | 65.859000 | NaN |
| 3027 | St. Kitts and Nevis | KNA | 1971 | 65.683000 | NaN |
| 3291 | St. Kitts and Nevis | KNA | 1972 | 65.505000 | NaN |
| 3555 | St. Kitts and Nevis | KNA | 1973 | 65.328000 | NaN |
| 3819 | St. Kitts and Nevis | KNA | 1974 | 65.151000 | NaN |
| 4083 | St. Kitts and Nevis | KNA | 1975 | 64.973000 | NaN |
| 4347 | St. Kitts and Nevis | KNA | 1976 | 64.794000 | NaN |
| 4611 | St. Kitts and Nevis | KNA | 1977 | 64.615000 | NaN |
| 4875 | St. Kitts and Nevis | KNA | 1978 | 64.436000 | NaN |
| 5139 | St. Kitts and Nevis | KNA | 1979 | 64.256000 | NaN |
| 5403 | St. Kitts and Nevis | KNA | 1980 | 64.118000 | NaN |
| 5667 | St. Kitts and Nevis | KNA | 1981 | 64.246000 | NaN |
| 5931 | St. Kitts and Nevis | KNA | 1982 | 64.374000 | NaN |
| 6195 | St. Kitts and Nevis | KNA | 1983 | 64.502000 | NaN |
| 6459 | St. Kitts and Nevis | KNA | 1984 | 64.630000 | NaN |
| 6723 | St. Kitts and Nevis | KNA | 1985 | 64.757000 | NaN |
| 6987 | St. Kitts and Nevis | KNA | 1986 | 64.884000 | NaN |
| 7251 | St. Kitts and Nevis | KNA | 1987 | 65.011000 | NaN |
| 7515 | St. Kitts and Nevis | KNA | 1988 | 65.138000 | NaN |
| 7779 | St. Kitts and Nevis | KNA | 1989 | 65.265000 | NaN |
| 8043 | St. Kitts and Nevis | KNA | 1990 | 65.391000 | 87.542397 |
| 8307 | St. Kitts and Nevis | KNA | 1991 | 65.526000 | 88.128616 |
| 8571 | St. Kitts and Nevis | KNA | 1992 | 65.717000 | 88.714325 |
| 8835 | St. Kitts and Nevis | KNA | 1993 | 65.907000 | 89.296982 |
| 9099 | St. Kitts and Nevis | KNA | 1994 | 66.096000 | 89.873512 |
| 9363 | St. Kitts and Nevis | KNA | 1995 | 66.285000 | 90.440872 |
| 9627 | St. Kitts and Nevis | KNA | 1996 | 66.474000 | 90.995995 |
| 9891 | St. Kitts and Nevis | KNA | 1997 | 66.661000 | 91.535820 |
| 10155 | St. Kitts and Nevis | KNA | 1998 | 66.849000 | 92.057289 |
| 10419 | St. Kitts and Nevis | KNA | 1999 | 67.035000 | 92.557343 |
| 10683 | St. Kitts and Nevis | KNA | 2000 | 67.222000 | 93.034447 |
| 10947 | St. Kitts and Nevis | KNA | 2001 | 67.407000 | 93.530000 |
| 11211 | St. Kitts and Nevis | KNA | 2002 | 67.573000 | 93.939491 |
| 11475 | St. Kitts and Nevis | KNA | 2003 | 67.719000 | 94.379555 |
| 11739 | St. Kitts and Nevis | KNA | 2004 | 67.845000 | 94.819397 |
| 12003 | St. Kitts and Nevis | KNA | 2005 | 67.952000 | 95.265083 |
| 12267 | St. Kitts and Nevis | KNA | 2006 | 68.039000 | 95.722679 |
| 12531 | St. Kitts and Nevis | KNA | 2007 | 68.107000 | 96.198235 |
| 12795 | St. Kitts and Nevis | KNA | 2008 | 68.155000 | 96.696312 |
| 13059 | St. Kitts and Nevis | KNA | 2009 | 68.184000 | 97.215424 |
| 13323 | St. Kitts and Nevis | KNA | 2010 | 68.194000 | 97.752556 |
| 13587 | St. Kitts and Nevis | KNA | 2011 | 68.185000 | 98.313385 |
| 13851 | St. Kitts and Nevis | KNA | 2012 | 68.156000 | 98.864212 |
| 14115 | St. Kitts and Nevis | KNA | 2013 | 68.108000 | 99.366478 |
| 14379 | St. Kitts and Nevis | KNA | 2014 | 68.040000 | 99.736694 |
| 14643 | St. Kitts and Nevis | KNA | 2015 | 67.953000 | 99.930016 |
| 14907 | St. Kitts and Nevis | KNA | 2016 | 67.847000 | 100.000000 |
| 15171 | St. Kitts and Nevis | KNA | 2017 | 67.721000 | NaN |
| 131 | St. Lucia | LCA | 1960 | 78.540000 | NaN |
| 395 | St. Lucia | LCA | 1961 | 78.304000 | NaN |
| 659 | St. Lucia | LCA | 1962 | 78.066000 | NaN |
| 923 | St. Lucia | LCA | 1963 | 77.826000 | NaN |
| 1187 | St. Lucia | LCA | 1964 | 77.584000 | NaN |
| 1451 | St. Lucia | LCA | 1965 | 77.340000 | NaN |
| 1715 | St. Lucia | LCA | 1966 | 77.095000 | NaN |
| 1979 | St. Lucia | LCA | 1967 | 76.847000 | NaN |
| 2243 | St. Lucia | LCA | 1968 | 76.597000 | NaN |
| 2507 | St. Lucia | LCA | 1969 | 76.346000 | NaN |
| 2771 | St. Lucia | LCA | 1970 | 76.093000 | NaN |
| 3035 | St. Lucia | LCA | 1971 | 75.838000 | NaN |
| 3299 | St. Lucia | LCA | 1972 | 75.581000 | NaN |
| 3563 | St. Lucia | LCA | 1973 | 75.323000 | NaN |
| 3827 | St. Lucia | LCA | 1974 | 75.062000 | NaN |
| 4091 | St. Lucia | LCA | 1975 | 74.800000 | NaN |
| 4355 | St. Lucia | LCA | 1976 | 74.535000 | NaN |
| 4619 | St. Lucia | LCA | 1977 | 74.270000 | NaN |
| 4883 | St. Lucia | LCA | 1978 | 74.002000 | NaN |
| 5147 | St. Lucia | LCA | 1979 | 73.732000 | NaN |
| 5411 | St. Lucia | LCA | 1980 | 73.460000 | NaN |
| 5675 | St. Lucia | LCA | 1981 | 73.188000 | NaN |
| 5939 | St. Lucia | LCA | 1982 | 72.913000 | NaN |
| 6203 | St. Lucia | LCA | 1983 | 72.636000 | NaN |
| 6467 | St. Lucia | LCA | 1984 | 72.357000 | NaN |
| 6731 | St. Lucia | LCA | 1985 | 72.077000 | NaN |
| 6995 | St. Lucia | LCA | 1986 | 71.795000 | NaN |
| 7259 | St. Lucia | LCA | 1987 | 71.512000 | NaN |
| 7523 | St. Lucia | LCA | 1988 | 71.226000 | NaN |
| 7787 | St. Lucia | LCA | 1989 | 70.939000 | NaN |
| 8051 | St. Lucia | LCA | 1990 | 70.651000 | 83.723206 |
| 8315 | St. Lucia | LCA | 1991 | 70.428000 | 84.324577 |
| 8579 | St. Lucia | LCA | 1992 | 70.631000 | 84.925446 |
| 8843 | St. Lucia | LCA | 1993 | 70.833000 | 85.523254 |
| 9107 | St. Lucia | LCA | 1994 | 71.035000 | 86.114937 |
| 9371 | St. Lucia | LCA | 1995 | 71.235000 | 86.697449 |
| 9635 | St. Lucia | LCA | 1996 | 71.435000 | 87.267723 |
| 9899 | St. Lucia | LCA | 1997 | 71.634000 | 87.822701 |
| 10163 | St. Lucia | LCA | 1998 | 71.832000 | 88.359329 |
| 10427 | St. Lucia | LCA | 1999 | 72.029000 | 88.874542 |
| 10691 | St. Lucia | LCA | 2000 | 72.226000 | 89.366798 |
| 10955 | St. Lucia | LCA | 2001 | 72.527000 | 89.900000 |
| 11219 | St. Lucia | LCA | 2002 | 73.671000 | 90.302147 |
| 11483 | St. Lucia | LCA | 2003 | 74.784000 | 90.757362 |
| 11747 | St. Lucia | LCA | 2004 | 75.867000 | 91.212364 |
| 12011 | St. Lucia | LCA | 2005 | 76.915000 | 91.673203 |
| 12275 | St. Lucia | LCA | 2006 | 77.932000 | 92.145943 |
| 12539 | St. Lucia | LCA | 2007 | 78.916000 | 92.636658 |
| 12803 | St. Lucia | LCA | 2008 | 79.869000 | 93.149895 |
| 13067 | St. Lucia | LCA | 2009 | 80.787000 | 93.684151 |
| 13331 | St. Lucia | LCA | 2010 | 81.550000 | 94.200000 |
| 13595 | St. Lucia | LCA | 2011 | 81.550000 | 94.803741 |
| 13859 | St. Lucia | LCA | 2012 | 81.550000 | 95.343423 |
| 14123 | St. Lucia | LCA | 2013 | 81.541000 | 95.971397 |
| 14387 | St. Lucia | LCA | 2014 | 81.523000 | 96.565735 |
| 14651 | St. Lucia | LCA | 2015 | 81.496000 | 97.163078 |
| 14915 | St. Lucia | LCA | 2016 | 81.460000 | 97.760918 |
| 15179 | St. Lucia | LCA | 2017 | 81.414000 | NaN |
| 145 | St. Martin (French part) | MAF | 1960 | NaN | NaN |
| 409 | St. Martin (French part) | MAF | 1961 | NaN | NaN |
| 673 | St. Martin (French part) | MAF | 1962 | NaN | NaN |
| 937 | St. Martin (French part) | MAF | 1963 | NaN | NaN |
| 1201 | St. Martin (French part) | MAF | 1964 | NaN | NaN |
| 1465 | St. Martin (French part) | MAF | 1965 | NaN | NaN |
| 1729 | St. Martin (French part) | MAF | 1966 | NaN | NaN |
| 1993 | St. Martin (French part) | MAF | 1967 | NaN | NaN |
| 2257 | St. Martin (French part) | MAF | 1968 | NaN | NaN |
| 2521 | St. Martin (French part) | MAF | 1969 | NaN | NaN |
| 2785 | St. Martin (French part) | MAF | 1970 | NaN | NaN |
| 3049 | St. Martin (French part) | MAF | 1971 | NaN | NaN |
| 3313 | St. Martin (French part) | MAF | 1972 | NaN | NaN |
| 3577 | St. Martin (French part) | MAF | 1973 | NaN | NaN |
| 3841 | St. Martin (French part) | MAF | 1974 | NaN | NaN |
| 4105 | St. Martin (French part) | MAF | 1975 | NaN | NaN |
| 4369 | St. Martin (French part) | MAF | 1976 | NaN | NaN |
| 4633 | St. Martin (French part) | MAF | 1977 | NaN | NaN |
| 4897 | St. Martin (French part) | MAF | 1978 | NaN | NaN |
| 5161 | St. Martin (French part) | MAF | 1979 | NaN | NaN |
| 5425 | St. Martin (French part) | MAF | 1980 | NaN | NaN |
| 5689 | St. Martin (French part) | MAF | 1981 | NaN | NaN |
| 5953 | St. Martin (French part) | MAF | 1982 | NaN | NaN |
| 6217 | St. Martin (French part) | MAF | 1983 | NaN | NaN |
| 6481 | St. Martin (French part) | MAF | 1984 | NaN | NaN |
| 6745 | St. Martin (French part) | MAF | 1985 | NaN | NaN |
| 7009 | St. Martin (French part) | MAF | 1986 | NaN | NaN |
| 7273 | St. Martin (French part) | MAF | 1987 | NaN | NaN |
| 7537 | St. Martin (French part) | MAF | 1988 | NaN | NaN |
| 7801 | St. Martin (French part) | MAF | 1989 | NaN | NaN |
| 8065 | St. Martin (French part) | MAF | 1990 | NaN | 41.978104 |
| 8329 | St. Martin (French part) | MAF | 1991 | NaN | 43.193111 |
| 8593 | St. Martin (French part) | MAF | 1992 | NaN | 44.407608 |
| 8857 | St. Martin (French part) | MAF | 1993 | NaN | 45.619049 |
| 9121 | St. Martin (French part) | MAF | 1994 | NaN | 46.824371 |
| 9385 | St. Martin (French part) | MAF | 1995 | NaN | 48.020515 |
| 9649 | St. Martin (French part) | MAF | 1996 | NaN | 49.204422 |
| 9913 | St. Martin (French part) | MAF | 1997 | NaN | 50.373035 |
| 10177 | St. Martin (French part) | MAF | 1998 | NaN | 51.523293 |
| 10441 | St. Martin (French part) | MAF | 1999 | NaN | 52.652134 |
| 10705 | St. Martin (French part) | MAF | 2000 | NaN | 53.758026 |
| 10969 | St. Martin (French part) | MAF | 2001 | NaN | 54.845509 |
| 11233 | St. Martin (French part) | MAF | 2002 | NaN | 55.920643 |
| 11497 | St. Martin (French part) | MAF | 2003 | NaN | 56.989494 |
| 11761 | St. Martin (French part) | MAF | 2004 | NaN | 58.058125 |
| 12025 | St. Martin (French part) | MAF | 2005 | NaN | 59.132595 |
| 12289 | St. Martin (French part) | MAF | 2006 | NaN | 60.218975 |
| 12553 | St. Martin (French part) | MAF | 2007 | NaN | 61.323318 |
| 12817 | St. Martin (French part) | MAF | 2008 | NaN | 62.450188 |
| 13081 | St. Martin (French part) | MAF | 2009 | NaN | 63.598080 |
| 13345 | St. Martin (French part) | MAF | 2010 | NaN | 64.350000 |
| 13609 | St. Martin (French part) | MAF | 2011 | NaN | 65.944939 |
| 13873 | St. Martin (French part) | MAF | 2012 | NaN | 67.137886 |
| 14137 | St. Martin (French part) | MAF | 2013 | NaN | 68.339851 |
| 14401 | St. Martin (French part) | MAF | 2014 | NaN | 69.547829 |
| 14665 | St. Martin (French part) | MAF | 2015 | NaN | 70.758804 |
| 14929 | St. Martin (French part) | MAF | 2016 | NaN | 71.970284 |
| 15193 | St. Martin (French part) | MAF | 2017 | NaN | NaN |
| 251 | St. Vincent and the Grenadines | VCT | 1960 | 74.057000 | NaN |
| 515 | St. Vincent and the Grenadines | VCT | 1961 | 73.606000 | NaN |
| 779 | St. Vincent and the Grenadines | VCT | 1962 | 73.149000 | NaN |
| 1043 | St. Vincent and the Grenadines | VCT | 1963 | 72.686000 | NaN |
| 1307 | St. Vincent and the Grenadines | VCT | 1964 | 72.219000 | NaN |
| 1571 | St. Vincent and the Grenadines | VCT | 1965 | 71.748000 | NaN |
| 1835 | St. Vincent and the Grenadines | VCT | 1966 | 71.271000 | NaN |
| 2099 | St. Vincent and the Grenadines | VCT | 1967 | 70.790000 | NaN |
| 2363 | St. Vincent and the Grenadines | VCT | 1968 | 70.303000 | NaN |
| 2627 | St. Vincent and the Grenadines | VCT | 1969 | 69.813000 | NaN |
| 2891 | St. Vincent and the Grenadines | VCT | 1970 | 69.317000 | NaN |
| 3155 | St. Vincent and the Grenadines | VCT | 1971 | 68.818000 | NaN |
| 3419 | St. Vincent and the Grenadines | VCT | 1972 | 68.313000 | NaN |
| 3683 | St. Vincent and the Grenadines | VCT | 1973 | 67.805000 | NaN |
| 3947 | St. Vincent and the Grenadines | VCT | 1974 | 67.292000 | NaN |
| 4211 | St. Vincent and the Grenadines | VCT | 1975 | 66.775000 | NaN |
| 4475 | St. Vincent and the Grenadines | VCT | 1976 | 66.253000 | NaN |
| 4739 | St. Vincent and the Grenadines | VCT | 1977 | 65.729000 | NaN |
| 5003 | St. Vincent and the Grenadines | VCT | 1978 | 65.200000 | NaN |
| 5267 | St. Vincent and the Grenadines | VCT | 1979 | 64.667000 | NaN |
| 5531 | St. Vincent and the Grenadines | VCT | 1980 | 64.130000 | NaN |
| 5795 | St. Vincent and the Grenadines | VCT | 1981 | 63.591000 | NaN |
| 6059 | St. Vincent and the Grenadines | VCT | 1982 | 63.047000 | NaN |
| 6323 | St. Vincent and the Grenadines | VCT | 1983 | 62.500000 | NaN |
| 6587 | St. Vincent and the Grenadines | VCT | 1984 | 61.950000 | NaN |
| 6851 | St. Vincent and the Grenadines | VCT | 1985 | 61.398000 | NaN |
| 7115 | St. Vincent and the Grenadines | VCT | 1986 | 60.842000 | NaN |
| 7379 | St. Vincent and the Grenadines | VCT | 1987 | 60.283000 | NaN |
| 7643 | St. Vincent and the Grenadines | VCT | 1988 | 59.720000 | NaN |
| 7907 | St. Vincent and the Grenadines | VCT | 1989 | 59.157000 | NaN |
| 8171 | St. Vincent and the Grenadines | VCT | 1990 | 58.591000 | 66.053917 |
| 8435 | St. Vincent and the Grenadines | VCT | 1991 | 58.051000 | 66.800000 |
| 8699 | St. Vincent and the Grenadines | VCT | 1992 | 57.694000 | 68.921669 |
| 8963 | St. Vincent and the Grenadines | VCT | 1993 | 57.337000 | 70.352234 |
| 9227 | St. Vincent and the Grenadines | VCT | 1994 | 56.979000 | 71.776680 |
| 9491 | St. Vincent and the Grenadines | VCT | 1995 | 56.620000 | 73.191948 |
| 9755 | St. Vincent and the Grenadines | VCT | 1996 | 56.259000 | 74.594978 |
| 10019 | St. Vincent and the Grenadines | VCT | 1997 | 55.900000 | 75.982712 |
| 10283 | St. Vincent and the Grenadines | VCT | 1998 | 55.539000 | 77.352097 |
| 10547 | St. Vincent and the Grenadines | VCT | 1999 | 55.177000 | 78.700058 |
| 10811 | St. Vincent and the Grenadines | VCT | 2000 | 54.814000 | 80.025078 |
| 11075 | St. Vincent and the Grenadines | VCT | 2001 | 54.452000 | 82.410000 |
| 11339 | St. Vincent and the Grenadines | VCT | 2002 | 54.090000 | 82.625938 |
| 11603 | St. Vincent and the Grenadines | VCT | 2003 | 53.728000 | 83.913910 |
| 11867 | St. Vincent and the Grenadines | VCT | 2004 | 53.367000 | 85.201668 |
| 12131 | St. Vincent and the Grenadines | VCT | 2005 | 53.007000 | 86.495262 |
| 12395 | St. Vincent and the Grenadines | VCT | 2006 | 52.647000 | 87.800766 |
| 12659 | St. Vincent and the Grenadines | VCT | 2007 | 52.287000 | 88.790000 |
| 12923 | St. Vincent and the Grenadines | VCT | 2008 | 51.929000 | 90.470222 |
| 13187 | St. Vincent and the Grenadines | VCT | 2009 | 51.572000 | 91.837242 |
| 13451 | St. Vincent and the Grenadines | VCT | 2010 | 51.215000 | 93.222282 |
| 13715 | St. Vincent and the Grenadines | VCT | 2011 | 50.860000 | 94.622345 |
| 13979 | St. Vincent and the Grenadines | VCT | 2012 | 50.505000 | 96.034424 |
| 14243 | St. Vincent and the Grenadines | VCT | 2013 | 50.152000 | 97.455513 |
| 14507 | St. Vincent and the Grenadines | VCT | 2014 | 49.800000 | 98.598648 |
| 14771 | St. Vincent and the Grenadines | VCT | 2015 | 49.450000 | 99.455063 |
| 15035 | St. Vincent and the Grenadines | VCT | 2016 | 49.101000 | 100.000000 |
| 15299 | St. Vincent and the Grenadines | VCT | 2017 | 48.753000 | NaN |
| 215 | Sub-Saharan Africa | SSF | 1960 | 85.356483 | NaN |
| 479 | Sub-Saharan Africa | SSF | 1961 | 85.052421 | NaN |
| 743 | Sub-Saharan Africa | SSF | 1962 | 84.742726 | NaN |
| 1007 | Sub-Saharan Africa | SSF | 1963 | 84.414051 | NaN |
| 1271 | Sub-Saharan Africa | SSF | 1964 | 84.070101 | NaN |
| 1535 | Sub-Saharan Africa | SSF | 1965 | 83.715700 | NaN |
| 1799 | Sub-Saharan Africa | SSF | 1966 | 83.366029 | NaN |
| 2063 | Sub-Saharan Africa | SSF | 1967 | 83.008295 | NaN |
| 2327 | Sub-Saharan Africa | SSF | 1968 | 82.640551 | NaN |
| 2591 | Sub-Saharan Africa | SSF | 1969 | 82.260955 | NaN |
| 2855 | Sub-Saharan Africa | SSF | 1970 | 81.888814 | NaN |
| 3119 | Sub-Saharan Africa | SSF | 1971 | 81.482794 | NaN |
| 3383 | Sub-Saharan Africa | SSF | 1972 | 81.063175 | NaN |
| 3647 | Sub-Saharan Africa | SSF | 1973 | 80.641043 | NaN |
| 3911 | Sub-Saharan Africa | SSF | 1974 | 80.219954 | NaN |
| 4175 | Sub-Saharan Africa | SSF | 1975 | 79.787674 | NaN |
| 4439 | Sub-Saharan Africa | SSF | 1976 | 79.340977 | NaN |
| 4703 | Sub-Saharan Africa | SSF | 1977 | 78.901230 | NaN |
| 4967 | Sub-Saharan Africa | SSF | 1978 | 78.456665 | NaN |
| 5231 | Sub-Saharan Africa | SSF | 1979 | 78.067173 | NaN |
| 5495 | Sub-Saharan Africa | SSF | 1980 | 77.698032 | NaN |
| 5759 | Sub-Saharan Africa | SSF | 1981 | 77.285517 | NaN |
| 6023 | Sub-Saharan Africa | SSF | 1982 | 76.868667 | NaN |
| 6287 | Sub-Saharan Africa | SSF | 1983 | 76.434183 | NaN |
| 6551 | Sub-Saharan Africa | SSF | 1984 | 75.968436 | NaN |
| 6815 | Sub-Saharan Africa | SSF | 1985 | 75.468207 | NaN |
| 7079 | Sub-Saharan Africa | SSF | 1986 | 74.953331 | NaN |
| 7343 | Sub-Saharan Africa | SSF | 1987 | 74.443634 | NaN |
| 7607 | Sub-Saharan Africa | SSF | 1988 | 73.933204 | NaN |
| 7871 | Sub-Saharan Africa | SSF | 1989 | 73.423781 | NaN |
| 8135 | Sub-Saharan Africa | SSF | 1990 | 72.889503 | 15.964454 |
| 8399 | Sub-Saharan Africa | SSF | 1991 | 72.438974 | 17.504684 |
| 8663 | Sub-Saharan Africa | SSF | 1992 | 72.002022 | 18.388890 |
| 8927 | Sub-Saharan Africa | SSF | 1993 | 71.577912 | 19.159086 |
| 9191 | Sub-Saharan Africa | SSF | 1994 | 71.210456 | 19.630904 |
| 9455 | Sub-Saharan Africa | SSF | 1995 | 70.859207 | 20.772124 |
| 9719 | Sub-Saharan Africa | SSF | 1996 | 70.519619 | 21.186650 |
| 9983 | Sub-Saharan Africa | SSF | 1997 | 70.178526 | 22.600660 |
| 10247 | Sub-Saharan Africa | SSF | 1998 | 69.850029 | 23.396992 |
| 10511 | Sub-Saharan Africa | SSF | 1999 | 69.518858 | 25.009665 |
| 10775 | Sub-Saharan Africa | SSF | 2000 | 69.182209 | 25.589141 |
| 11039 | Sub-Saharan Africa | SSF | 2001 | 68.782711 | 25.937273 |
| 11303 | Sub-Saharan Africa | SSF | 2002 | 68.371477 | 27.084023 |
| 11567 | Sub-Saharan Africa | SSF | 2003 | 67.951621 | 29.186098 |
| 11831 | Sub-Saharan Africa | SSF | 2004 | 67.525916 | 28.919618 |
| 12095 | Sub-Saharan Africa | SSF | 2005 | 67.089125 | 29.118270 |
| 12359 | Sub-Saharan Africa | SSF | 2006 | 66.647073 | 30.499111 |
| 12623 | Sub-Saharan Africa | SSF | 2007 | 66.196086 | 32.052252 |
| 12887 | Sub-Saharan Africa | SSF | 2008 | 65.721157 | 31.973327 |
| 13151 | Sub-Saharan Africa | SSF | 2009 | 65.239629 | 32.490060 |
| 13415 | Sub-Saharan Africa | SSF | 2010 | 64.749106 | 32.633561 |
| 13679 | Sub-Saharan Africa | SSF | 2011 | 64.253053 | 34.880128 |
| 13943 | Sub-Saharan Africa | SSF | 2012 | 63.751827 | 35.770348 |
| 14207 | Sub-Saharan Africa | SSF | 2013 | 63.248082 | 36.542705 |
| 14471 | Sub-Saharan Africa | SSF | 2014 | 62.742381 | 37.760013 |
| 14735 | Sub-Saharan Africa | SSF | 2015 | 62.236074 | 38.459815 |
| 14999 | Sub-Saharan Africa | SSF | 2016 | 61.729486 | 42.813754 |
| 15263 | Sub-Saharan Africa | SSF | 2017 | 61.223019 | NaN |
| 239 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1960 | 85.356483 | NaN |
| 503 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1961 | 85.052421 | NaN |
| 767 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1962 | 84.742726 | NaN |
| 1031 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1963 | 84.414051 | NaN |
| 1295 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1964 | 84.070101 | NaN |
| 1559 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1965 | 83.715700 | NaN |
| 1823 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1966 | 83.366029 | NaN |
| 2087 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1967 | 83.008295 | NaN |
| 2351 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1968 | 82.640551 | NaN |
| 2615 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1969 | 82.260955 | NaN |
| 2879 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1970 | 81.888814 | NaN |
| 3143 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1971 | 81.482794 | NaN |
| 3407 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1972 | 81.063175 | NaN |
| 3671 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1973 | 80.641043 | NaN |
| 3935 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1974 | 80.219954 | NaN |
| 4199 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1975 | 79.787674 | NaN |
| 4463 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1976 | 79.340977 | NaN |
| 4727 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1977 | 78.901230 | NaN |
| 4991 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1978 | 78.456665 | NaN |
| 5255 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1979 | 78.067173 | NaN |
| 5519 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1980 | 77.698032 | NaN |
| 5783 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1981 | 77.285517 | NaN |
| 6047 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1982 | 76.868667 | NaN |
| 6311 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1983 | 76.434183 | NaN |
| 6575 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1984 | 75.968436 | NaN |
| 6839 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1985 | 75.468207 | NaN |
| 7103 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1986 | 74.953331 | NaN |
| 7367 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1987 | 74.443634 | NaN |
| 7631 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1988 | 73.933204 | NaN |
| 7895 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1989 | 73.423781 | NaN |
| 8159 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1990 | 72.889503 | 15.964454 |
| 8423 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1991 | 72.438974 | 17.504684 |
| 8687 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1992 | 72.002022 | 18.388890 |
| 8951 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1993 | 71.577912 | 19.159086 |
| 9215 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1994 | 71.210456 | 19.630904 |
| 9479 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1995 | 70.859207 | 20.772124 |
| 9743 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1996 | 70.519619 | 21.186650 |
| 10007 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1997 | 70.178526 | 22.600660 |
| 10271 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1998 | 69.850029 | 23.396992 |
| 10535 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 1999 | 69.518858 | 25.009665 |
| 10799 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2000 | 69.182209 | 25.589141 |
| 11063 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2001 | 68.782711 | 25.937273 |
| 11327 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2002 | 68.371477 | 27.084023 |
| 11591 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2003 | 67.951621 | 29.186098 |
| 11855 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2004 | 67.525916 | 28.919618 |
| 12119 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2005 | 67.089125 | 29.118270 |
| 12383 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2006 | 66.647073 | 30.499111 |
| 12647 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2007 | 66.196086 | 32.052252 |
| 12911 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2008 | 65.721157 | 31.973327 |
| 13175 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2009 | 65.239629 | 32.490060 |
| 13439 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2010 | 64.749106 | 32.633561 |
| 13703 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2011 | 64.253053 | 34.880128 |
| 13967 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2012 | 63.751827 | 35.770348 |
| 14231 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2013 | 63.248082 | 36.542705 |
| 14495 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2014 | 62.742381 | 37.760013 |
| 14759 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2015 | 62.236074 | 38.459815 |
| 15023 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2016 | 61.729486 | 42.813754 |
| 15287 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | 2017 | 61.223019 | NaN |
| 213 | Sub-Saharan Africa (excluding high income) | SSA | 1960 | 85.358860 | NaN |
| 477 | Sub-Saharan Africa (excluding high income) | SSA | 1961 | 85.054945 | NaN |
| 741 | Sub-Saharan Africa (excluding high income) | SSA | 1962 | 84.745396 | NaN |
| 1005 | Sub-Saharan Africa (excluding high income) | SSA | 1963 | 84.416865 | NaN |
| 1269 | Sub-Saharan Africa (excluding high income) | SSA | 1964 | 84.073058 | NaN |
| 1533 | Sub-Saharan Africa (excluding high income) | SSA | 1965 | 83.718803 | NaN |
| 1797 | Sub-Saharan Africa (excluding high income) | SSA | 1966 | 83.369279 | NaN |
| 2061 | Sub-Saharan Africa (excluding high income) | SSA | 1967 | 83.011693 | NaN |
| 2325 | Sub-Saharan Africa (excluding high income) | SSA | 1968 | 82.644097 | NaN |
| 2589 | Sub-Saharan Africa (excluding high income) | SSA | 1969 | 82.264645 | NaN |
| 2853 | Sub-Saharan Africa (excluding high income) | SSA | 1970 | 81.892650 | NaN |
| 3117 | Sub-Saharan Africa (excluding high income) | SSA | 1971 | 81.486763 | NaN |
| 3381 | Sub-Saharan Africa (excluding high income) | SSA | 1972 | 81.067324 | NaN |
| 3645 | Sub-Saharan Africa (excluding high income) | SSA | 1973 | 80.645333 | NaN |
| 3909 | Sub-Saharan Africa (excluding high income) | SSA | 1974 | 80.224396 | NaN |
| 4173 | Sub-Saharan Africa (excluding high income) | SSA | 1975 | 79.792285 | NaN |
| 4437 | Sub-Saharan Africa (excluding high income) | SSA | 1976 | 79.345740 | NaN |
| 4701 | Sub-Saharan Africa (excluding high income) | SSA | 1977 | 78.906145 | NaN |
| 4965 | Sub-Saharan Africa (excluding high income) | SSA | 1978 | 78.461415 | NaN |
| 5229 | Sub-Saharan Africa (excluding high income) | SSA | 1979 | 78.071761 | NaN |
| 5493 | Sub-Saharan Africa (excluding high income) | SSA | 1980 | 77.702469 | NaN |
| 5757 | Sub-Saharan Africa (excluding high income) | SSA | 1981 | 77.289814 | NaN |
| 6021 | Sub-Saharan Africa (excluding high income) | SSA | 1982 | 76.872799 | NaN |
| 6285 | Sub-Saharan Africa (excluding high income) | SSA | 1983 | 76.438125 | NaN |
| 6549 | Sub-Saharan Africa (excluding high income) | SSA | 1984 | 75.972218 | NaN |
| 6813 | Sub-Saharan Africa (excluding high income) | SSA | 1985 | 75.471838 | NaN |
| 7077 | Sub-Saharan Africa (excluding high income) | SSA | 1986 | 74.956806 | NaN |
| 7341 | Sub-Saharan Africa (excluding high income) | SSA | 1987 | 74.447083 | NaN |
| 7605 | Sub-Saharan Africa (excluding high income) | SSA | 1988 | 73.936495 | NaN |
| 7869 | Sub-Saharan Africa (excluding high income) | SSA | 1989 | 73.426930 | NaN |
| 8133 | Sub-Saharan Africa (excluding high income) | SSA | 1990 | 72.892509 | 15.954467 |
| 8397 | Sub-Saharan Africa (excluding high income) | SSA | 1991 | 72.441880 | 17.494983 |
| 8661 | Sub-Saharan Africa (excluding high income) | SSA | 1992 | 72.004810 | 18.379464 |
| 8925 | Sub-Saharan Africa (excluding high income) | SSA | 1993 | 71.580633 | 19.149761 |
| 9189 | Sub-Saharan Africa (excluding high income) | SSA | 1994 | 71.213136 | 19.621772 |
| 9453 | Sub-Saharan Africa (excluding high income) | SSA | 1995 | 70.861820 | 20.763008 |
| 9717 | Sub-Saharan Africa (excluding high income) | SSA | 1996 | 70.522169 | 21.177639 |
| 9981 | Sub-Saharan Africa (excluding high income) | SSA | 1997 | 70.181010 | 22.591998 |
| 10245 | Sub-Saharan Africa (excluding high income) | SSA | 1998 | 69.852470 | 23.388345 |
| 10509 | Sub-Saharan Africa (excluding high income) | SSA | 1999 | 69.521258 | 25.001226 |
| 10773 | Sub-Saharan Africa (excluding high income) | SSA | 2000 | 69.184544 | 25.580875 |
| 11037 | Sub-Saharan Africa (excluding high income) | SSA | 2001 | 68.784959 | 25.929215 |
| 11301 | Sub-Saharan Africa (excluding high income) | SSA | 2002 | 68.373706 | 27.075851 |
| 11565 | Sub-Saharan Africa (excluding high income) | SSA | 2003 | 67.953741 | 29.178603 |
| 11829 | Sub-Saharan Africa (excluding high income) | SSA | 2004 | 67.527948 | 28.912281 |
| 12093 | Sub-Saharan Africa (excluding high income) | SSA | 2005 | 67.091087 | 29.111081 |
| 12357 | Sub-Saharan Africa (excluding high income) | SSA | 2006 | 66.649000 | 30.491746 |
| 12621 | Sub-Saharan Africa (excluding high income) | SSA | 2007 | 66.197950 | 32.045496 |
| 12885 | Sub-Saharan Africa (excluding high income) | SSA | 2008 | 65.722989 | 31.966555 |
| 13149 | Sub-Saharan Africa (excluding high income) | SSA | 2009 | 65.241396 | 32.483456 |
| 13413 | Sub-Saharan Africa (excluding high income) | SSA | 2010 | 64.750852 | 32.626976 |
| 13677 | Sub-Saharan Africa (excluding high income) | SSA | 2011 | 64.254688 | 34.874013 |
| 13941 | Sub-Saharan Africa (excluding high income) | SSA | 2012 | 63.753414 | 35.764381 |
| 14205 | Sub-Saharan Africa (excluding high income) | SSA | 2013 | 63.249638 | 36.536902 |
| 14469 | Sub-Saharan Africa (excluding high income) | SSA | 2014 | 62.743902 | 37.754270 |
| 14733 | Sub-Saharan Africa (excluding high income) | SSA | 2015 | 62.237572 | 38.454128 |
| 14997 | Sub-Saharan Africa (excluding high income) | SSA | 2016 | 61.730947 | 42.808513 |
| 15261 | Sub-Saharan Africa (excluding high income) | SSA | 2017 | 61.224443 | NaN |
| 204 | Sudan | SDN | 1960 | 89.254000 | NaN |
| 468 | Sudan | SDN | 1961 | 88.768000 | NaN |
| 732 | Sudan | SDN | 1962 | 88.263000 | NaN |
| 996 | Sudan | SDN | 1963 | 87.738000 | NaN |
| 1260 | Sudan | SDN | 1964 | 87.192000 | NaN |
| 1524 | Sudan | SDN | 1965 | 86.627000 | NaN |
| 1788 | Sudan | SDN | 1966 | 86.041000 | NaN |
| 2052 | Sudan | SDN | 1967 | 85.433000 | NaN |
| 2316 | Sudan | SDN | 1968 | 84.803000 | NaN |
| 2580 | Sudan | SDN | 1969 | 84.152000 | NaN |
| 2844 | Sudan | SDN | 1970 | 83.477000 | NaN |
| 3108 | Sudan | SDN | 1971 | 82.780000 | NaN |
| 3372 | Sudan | SDN | 1972 | 82.059000 | NaN |
| 3636 | Sudan | SDN | 1973 | 81.452000 | NaN |
| 3900 | Sudan | SDN | 1974 | 81.256000 | NaN |
| 4164 | Sudan | SDN | 1975 | 81.057000 | NaN |
| 4428 | Sudan | SDN | 1976 | 80.857000 | NaN |
| 4692 | Sudan | SDN | 1977 | 80.656000 | NaN |
| 4956 | Sudan | SDN | 1978 | 80.453000 | NaN |
| 5220 | Sudan | SDN | 1979 | 80.248000 | NaN |
| 5484 | Sudan | SDN | 1980 | 80.041000 | NaN |
| 5748 | Sudan | SDN | 1981 | 79.834000 | NaN |
| 6012 | Sudan | SDN | 1982 | 79.624000 | NaN |
| 6276 | Sudan | SDN | 1983 | 79.099000 | NaN |
| 6540 | Sudan | SDN | 1984 | 78.097000 | NaN |
| 6804 | Sudan | SDN | 1985 | 77.063000 | NaN |
| 7068 | Sudan | SDN | 1986 | 75.995000 | NaN |
| 7332 | Sudan | SDN | 1987 | 74.893000 | NaN |
| 7596 | Sudan | SDN | 1988 | 73.756000 | NaN |
| 7860 | Sudan | SDN | 1989 | 72.590000 | NaN |
| 8124 | Sudan | SDN | 1990 | 71.390000 | 32.800000 |
| 8388 | Sudan | SDN | 1991 | 70.160000 | 27.056011 |
| 8652 | Sudan | SDN | 1992 | 68.897000 | 27.578321 |
| 8916 | Sudan | SDN | 1993 | 67.873000 | 28.097570 |
| 9180 | Sudan | SDN | 1994 | 67.821000 | 28.610703 |
| 9444 | Sudan | SDN | 1995 | 67.768000 | 29.114656 |
| 9708 | Sudan | SDN | 1996 | 67.716000 | 29.606375 |
| 9972 | Sudan | SDN | 1997 | 67.663000 | 30.082798 |
| 10236 | Sudan | SDN | 1998 | 67.610000 | 30.540865 |
| 10500 | Sudan | SDN | 1999 | 67.558000 | 30.977520 |
| 10764 | Sudan | SDN | 2000 | 67.505000 | 23.000000 |
| 11028 | Sudan | SDN | 2001 | 67.452000 | 31.786512 |
| 11292 | Sudan | SDN | 2002 | 67.399000 | 32.169456 |
| 11556 | Sudan | SDN | 2003 | 67.346000 | 32.546120 |
| 11820 | Sudan | SDN | 2004 | 67.293000 | 32.922562 |
| 12084 | Sudan | SDN | 2005 | 67.240000 | 33.304844 |
| 12348 | Sudan | SDN | 2006 | 67.187000 | 33.699032 |
| 12612 | Sudan | SDN | 2007 | 67.134000 | 34.111187 |
| 12876 | Sudan | SDN | 2008 | 67.081000 | 34.545864 |
| 13140 | Sudan | SDN | 2009 | 67.010000 | 29.000000 |
| 13404 | Sudan | SDN | 2010 | 66.920000 | 35.475300 |
| 13668 | Sudan | SDN | 2011 | 66.812000 | 35.964046 |
| 13932 | Sudan | SDN | 2012 | 66.685000 | 36.464809 |
| 14196 | Sudan | SDN | 2013 | 66.540000 | 36.974586 |
| 14460 | Sudan | SDN | 2014 | 66.377000 | 44.900000 |
| 14724 | Sudan | SDN | 2015 | 66.194000 | 38.009155 |
| 14988 | Sudan | SDN | 2016 | 65.993000 | 38.528442 |
| 15252 | Sudan | SDN | 2017 | 65.773000 | NaN |
| 218 | Suriname | SUR | 1960 | 52.740000 | NaN |
| 482 | Suriname | SUR | 1961 | 52.703000 | NaN |
| 746 | Suriname | SUR | 1962 | 52.665000 | NaN |
| 1010 | Suriname | SUR | 1963 | 52.628000 | NaN |
| 1274 | Suriname | SUR | 1964 | 52.659000 | NaN |
| 1538 | Suriname | SUR | 1965 | 52.891000 | NaN |
| 1802 | Suriname | SUR | 1966 | 53.123000 | NaN |
| 2066 | Suriname | SUR | 1967 | 53.356000 | NaN |
| 2330 | Suriname | SUR | 1968 | 53.588000 | NaN |
| 2594 | Suriname | SUR | 1969 | 53.820000 | NaN |
| 2858 | Suriname | SUR | 1970 | 54.052000 | NaN |
| 3122 | Suriname | SUR | 1971 | 54.284000 | NaN |
| 3386 | Suriname | SUR | 1972 | 53.240000 | NaN |
| 3650 | Suriname | SUR | 1973 | 50.913000 | NaN |
| 3914 | Suriname | SUR | 1974 | 48.579000 | NaN |
| 4178 | Suriname | SUR | 1975 | 46.251000 | NaN |
| 4442 | Suriname | SUR | 1976 | 43.936000 | NaN |
| 4706 | Suriname | SUR | 1977 | 41.654000 | NaN |
| 4970 | Suriname | SUR | 1978 | 39.403000 | NaN |
| 5234 | Suriname | SUR | 1979 | 37.197000 | NaN |
| 5498 | Suriname | SUR | 1980 | 35.040000 | NaN |
| 5762 | Suriname | SUR | 1981 | 34.965000 | NaN |
| 6026 | Suriname | SUR | 1982 | 34.890000 | NaN |
| 6290 | Suriname | SUR | 1983 | 34.816000 | NaN |
| 6554 | Suriname | SUR | 1984 | 34.741000 | NaN |
| 6818 | Suriname | SUR | 1985 | 34.666000 | NaN |
| 7082 | Suriname | SUR | 1986 | 34.592000 | NaN |
| 7346 | Suriname | SUR | 1987 | 34.517000 | NaN |
| 7610 | Suriname | SUR | 1988 | 34.443000 | NaN |
| 7874 | Suriname | SUR | 1989 | 34.368000 | NaN |
| 8138 | Suriname | SUR | 1990 | 34.294000 | 100.000000 |
| 8402 | Suriname | SUR | 1991 | 34.220000 | 100.000000 |
| 8666 | Suriname | SUR | 1992 | 34.146000 | 100.000000 |
| 8930 | Suriname | SUR | 1993 | 34.072000 | 100.000000 |
| 9194 | Suriname | SUR | 1994 | 33.998000 | 99.990562 |
| 9458 | Suriname | SUR | 1995 | 33.924000 | 99.924095 |
| 9722 | Suriname | SUR | 1996 | 33.850000 | 99.713318 |
| 9986 | Suriname | SUR | 1997 | 33.777000 | 99.305435 |
| 10250 | Suriname | SUR | 1998 | 33.703000 | 98.740540 |
| 10514 | Suriname | SUR | 1999 | 33.629000 | 99.624060 |
| 10778 | Suriname | SUR | 2000 | 33.556000 | 97.441429 |
| 11042 | Suriname | SUR | 2001 | 33.483000 | 96.749069 |
| 11306 | Suriname | SUR | 2002 | 33.409000 | 96.044373 |
| 11570 | Suriname | SUR | 2003 | 33.336000 | 95.333389 |
| 11834 | Suriname | SUR | 2004 | 33.263000 | 94.622185 |
| 12098 | Suriname | SUR | 2005 | 33.318000 | 93.916817 |
| 12362 | Suriname | SUR | 2006 | 33.385000 | 91.019840 |
| 12626 | Suriname | SUR | 2007 | 33.453000 | 92.547874 |
| 12890 | Suriname | SUR | 2008 | 33.521000 | 91.894905 |
| 13154 | Suriname | SUR | 2009 | 33.588000 | 91.262962 |
| 13418 | Suriname | SUR | 2010 | 33.656000 | 91.197516 |
| 13682 | Suriname | SUR | 2011 | 33.724000 | 90.050148 |
| 13946 | Suriname | SUR | 2012 | 33.792000 | 89.463264 |
| 14210 | Suriname | SUR | 2013 | 33.860000 | 88.885391 |
| 14474 | Suriname | SUR | 2014 | 33.915000 | 88.313530 |
| 14738 | Suriname | SUR | 2015 | 33.957000 | 87.744675 |
| 15002 | Suriname | SUR | 2016 | 33.985000 | 87.176315 |
| 15266 | Suriname | SUR | 2017 | 34.000000 | NaN |
| 222 | Swaziland | SWZ | 1960 | 96.087000 | NaN |
| 486 | Swaziland | SWZ | 1961 | 95.665000 | NaN |
| 750 | Swaziland | SWZ | 1962 | 95.200000 | NaN |
| 1014 | Swaziland | SWZ | 1963 | 94.688000 | NaN |
| 1278 | Swaziland | SWZ | 1964 | 94.124000 | NaN |
| 1542 | Swaziland | SWZ | 1965 | 93.506000 | NaN |
| 1806 | Swaziland | SWZ | 1966 | 92.843000 | NaN |
| 2070 | Swaziland | SWZ | 1967 | 92.271000 | NaN |
| 2334 | Swaziland | SWZ | 1968 | 91.656000 | NaN |
| 2598 | Swaziland | SWZ | 1969 | 90.999000 | NaN |
| 2862 | Swaziland | SWZ | 1970 | 90.295000 | NaN |
| 3126 | Swaziland | SWZ | 1971 | 89.542000 | NaN |
| 3390 | Swaziland | SWZ | 1972 | 88.736000 | NaN |
| 3654 | Swaziland | SWZ | 1973 | 87.880000 | NaN |
| 3918 | Swaziland | SWZ | 1974 | 86.967000 | NaN |
| 4182 | Swaziland | SWZ | 1975 | 85.996000 | NaN |
| 4446 | Swaziland | SWZ | 1976 | 84.963000 | NaN |
| 4710 | Swaziland | SWZ | 1977 | 84.247000 | NaN |
| 4974 | Swaziland | SWZ | 1978 | 83.573000 | NaN |
| 5238 | Swaziland | SWZ | 1979 | 82.876000 | NaN |
| 5502 | Swaziland | SWZ | 1980 | 82.154000 | NaN |
| 5766 | Swaziland | SWZ | 1981 | 81.411000 | NaN |
| 6030 | Swaziland | SWZ | 1982 | 80.643000 | NaN |
| 6294 | Swaziland | SWZ | 1983 | 79.851000 | NaN |
| 6558 | Swaziland | SWZ | 1984 | 79.035000 | NaN |
| 6822 | Swaziland | SWZ | 1985 | 78.196000 | NaN |
| 7086 | Swaziland | SWZ | 1986 | 77.332000 | NaN |
| 7350 | Swaziland | SWZ | 1987 | 77.176000 | NaN |
| 7614 | Swaziland | SWZ | 1988 | 77.148000 | NaN |
| 7878 | Swaziland | SWZ | 1989 | 77.120000 | NaN |
| 8142 | Swaziland | SWZ | 1990 | 77.092000 | 0.010000 |
| 8406 | Swaziland | SWZ | 1991 | 77.065000 | 0.423999 |
| 8670 | Swaziland | SWZ | 1992 | 77.036000 | 1.448825 |
| 8934 | Swaziland | SWZ | 1993 | 77.008000 | 3.002630 |
| 9198 | Swaziland | SWZ | 1994 | 76.980000 | 5.792140 |
| 9462 | Swaziland | SWZ | 1995 | 76.952000 | 8.572474 |
| 9726 | Swaziland | SWZ | 1996 | 76.924000 | 11.340569 |
| 9990 | Swaziland | SWZ | 1997 | 76.919000 | 14.093370 |
| 10254 | Swaziland | SWZ | 1998 | 77.051000 | 16.827818 |
| 10518 | Swaziland | SWZ | 1999 | 77.183000 | 19.540850 |
| 10782 | Swaziland | SWZ | 2000 | 77.314000 | 22.230930 |
| 11046 | Swaziland | SWZ | 2001 | 77.445000 | 26.900000 |
| 11310 | Swaziland | SWZ | 2002 | 77.575000 | 27.561924 |
| 11574 | Swaziland | SWZ | 2003 | 77.704000 | 30.214964 |
| 11838 | Swaziland | SWZ | 2004 | 77.834000 | 32.867783 |
| 12102 | Swaziland | SWZ | 2005 | 77.962000 | 35.526443 |
| 12366 | Swaziland | SWZ | 2006 | 78.090000 | 35.200000 |
| 12630 | Swaziland | SWZ | 2007 | 78.217000 | 40.885548 |
| 12894 | Swaziland | SWZ | 2008 | 78.330000 | 43.596603 |
| 13158 | Swaziland | SWZ | 2009 | 78.426000 | 46.328686 |
| 13422 | Swaziland | SWZ | 2010 | 78.508000 | 45.552338 |
| 13686 | Swaziland | SWZ | 2011 | 78.575000 | 51.843918 |
| 13950 | Swaziland | SWZ | 2012 | 78.626000 | 54.621063 |
| 14214 | Swaziland | SWZ | 2013 | 78.663000 | 57.407215 |
| 14478 | Swaziland | SWZ | 2014 | 78.685000 | 65.000000 |
| 14742 | Swaziland | SWZ | 2015 | 78.692000 | 62.994545 |
| 15006 | Swaziland | SWZ | 2016 | 78.685000 | 65.790207 |
| 15270 | Swaziland | SWZ | 2017 | 78.663000 | NaN |
| 221 | Sweden | SWE | 1960 | 27.510000 | NaN |
| 485 | Sweden | SWE | 1961 | 26.705000 | NaN |
| 749 | Sweden | SWE | 1962 | 25.729000 | NaN |
| 1013 | Sweden | SWE | 1963 | 24.777000 | NaN |
| 1277 | Sweden | SWE | 1964 | 23.847000 | NaN |
| 1541 | Sweden | SWE | 1965 | 22.944000 | NaN |
| 1805 | Sweden | SWE | 1966 | 22.086000 | NaN |
| 2069 | Sweden | SWE | 1967 | 21.273000 | NaN |
| 2333 | Sweden | SWE | 1968 | 20.481000 | NaN |
| 2597 | Sweden | SWE | 1969 | 19.713000 | NaN |
| 2861 | Sweden | SWE | 1970 | 18.966000 | NaN |
| 3125 | Sweden | SWE | 1971 | 18.437000 | NaN |
| 3389 | Sweden | SWE | 1972 | 18.114000 | NaN |
| 3653 | Sweden | SWE | 1973 | 17.797000 | NaN |
| 3917 | Sweden | SWE | 1974 | 17.483000 | NaN |
| 4181 | Sweden | SWE | 1975 | 17.270000 | NaN |
| 4445 | Sweden | SWE | 1976 | 17.198000 | NaN |
| 4709 | Sweden | SWE | 1977 | 17.127000 | NaN |
| 4973 | Sweden | SWE | 1978 | 17.056000 | NaN |
| 5237 | Sweden | SWE | 1979 | 16.984000 | NaN |
| 5501 | Sweden | SWE | 1980 | 16.913000 | NaN |
| 5765 | Sweden | SWE | 1981 | 16.900000 | NaN |
| 6029 | Sweden | SWE | 1982 | 16.900000 | NaN |
| 6293 | Sweden | SWE | 1983 | 16.900000 | NaN |
| 6557 | Sweden | SWE | 1984 | 16.900000 | NaN |
| 6821 | Sweden | SWE | 1985 | 16.900000 | NaN |
| 7085 | Sweden | SWE | 1986 | 16.900000 | NaN |
| 7349 | Sweden | SWE | 1987 | 16.900000 | NaN |
| 7613 | Sweden | SWE | 1988 | 16.900000 | NaN |
| 7877 | Sweden | SWE | 1989 | 16.900000 | NaN |
| 8141 | Sweden | SWE | 1990 | 16.900000 | 100.000000 |
| 8405 | Sweden | SWE | 1991 | 16.796000 | 100.000000 |
| 8669 | Sweden | SWE | 1992 | 16.639000 | 100.000000 |
| 8933 | Sweden | SWE | 1993 | 16.484000 | 100.000000 |
| 9197 | Sweden | SWE | 1994 | 16.329000 | 100.000000 |
| 9461 | Sweden | SWE | 1995 | 16.176000 | 100.000000 |
| 9725 | Sweden | SWE | 1996 | 16.086000 | 100.000000 |
| 9989 | Sweden | SWE | 1997 | 16.058000 | 100.000000 |
| 10253 | Sweden | SWE | 1998 | 16.030000 | 100.000000 |
| 10517 | Sweden | SWE | 1999 | 16.002000 | 100.000000 |
| 10781 | Sweden | SWE | 2000 | 15.974000 | 100.000000 |
| 11045 | Sweden | SWE | 2001 | 15.929000 | 100.000000 |
| 11309 | Sweden | SWE | 2002 | 15.867000 | 100.000000 |
| 11573 | Sweden | SWE | 2003 | 15.804000 | 100.000000 |
| 11837 | Sweden | SWE | 2004 | 15.742000 | 100.000000 |
| 12101 | Sweden | SWE | 2005 | 15.681000 | 100.000000 |
| 12365 | Sweden | SWE | 2006 | 15.570000 | 100.000000 |
| 12629 | Sweden | SWE | 2007 | 15.412000 | 100.000000 |
| 12893 | Sweden | SWE | 2008 | 15.254000 | 100.000000 |
| 13157 | Sweden | SWE | 2009 | 15.098000 | 100.000000 |
| 13421 | Sweden | SWE | 2010 | 14.944000 | 100.000000 |
| 13685 | Sweden | SWE | 2011 | 14.790000 | 100.000000 |
| 13949 | Sweden | SWE | 2012 | 14.637000 | 100.000000 |
| 14213 | Sweden | SWE | 2013 | 14.486000 | 100.000000 |
| 14477 | Sweden | SWE | 2014 | 14.335000 | 100.000000 |
| 14741 | Sweden | SWE | 2015 | 14.185000 | 100.000000 |
| 15005 | Sweden | SWE | 2016 | 14.036000 | 100.000000 |
| 15269 | Sweden | SWE | 2017 | 13.888000 | NaN |
| 35 | Switzerland | CHE | 1960 | 48.981000 | NaN |
| 299 | Switzerland | CHE | 1961 | 48.329000 | NaN |
| 563 | Switzerland | CHE | 1962 | 47.691000 | NaN |
| 827 | Switzerland | CHE | 1963 | 47.054000 | NaN |
| 1091 | Switzerland | CHE | 1964 | 46.417000 | NaN |
| 1355 | Switzerland | CHE | 1965 | 45.783000 | NaN |
| 1619 | Switzerland | CHE | 1966 | 45.149000 | NaN |
| 1883 | Switzerland | CHE | 1967 | 44.517000 | NaN |
| 2147 | Switzerland | CHE | 1968 | 43.886000 | NaN |
| 2411 | Switzerland | CHE | 1969 | 43.258000 | NaN |
| 2675 | Switzerland | CHE | 1970 | 42.632000 | NaN |
| 2939 | Switzerland | CHE | 1971 | 42.403000 | NaN |
| 3203 | Switzerland | CHE | 1972 | 42.460000 | NaN |
| 3467 | Switzerland | CHE | 1973 | 42.517000 | NaN |
| 3731 | Switzerland | CHE | 1974 | 42.574000 | NaN |
| 3995 | Switzerland | CHE | 1975 | 42.631000 | NaN |
| 4259 | Switzerland | CHE | 1976 | 42.688000 | NaN |
| 4523 | Switzerland | CHE | 1977 | 42.745000 | NaN |
| 4787 | Switzerland | CHE | 1978 | 42.802000 | NaN |
| 5051 | Switzerland | CHE | 1979 | 42.859000 | NaN |
| 5315 | Switzerland | CHE | 1980 | 42.916000 | NaN |
| 5579 | Switzerland | CHE | 1981 | 41.880000 | NaN |
| 5843 | Switzerland | CHE | 1982 | 40.062000 | NaN |
| 6107 | Switzerland | CHE | 1983 | 38.272000 | NaN |
| 6371 | Switzerland | CHE | 1984 | 36.511000 | NaN |
| 6635 | Switzerland | CHE | 1985 | 34.790000 | NaN |
| 6899 | Switzerland | CHE | 1986 | 33.105000 | NaN |
| 7163 | Switzerland | CHE | 1987 | 31.463000 | NaN |
| 7427 | Switzerland | CHE | 1988 | 29.863000 | NaN |
| 7691 | Switzerland | CHE | 1989 | 28.316000 | NaN |
| 7955 | Switzerland | CHE | 1990 | 26.816000 | 100.000000 |
| 8219 | Switzerland | CHE | 1991 | 26.219000 | 100.000000 |
| 8483 | Switzerland | CHE | 1992 | 26.270000 | 100.000000 |
| 8747 | Switzerland | CHE | 1993 | 26.321000 | 100.000000 |
| 9011 | Switzerland | CHE | 1994 | 26.371000 | 100.000000 |
| 9275 | Switzerland | CHE | 1995 | 26.422000 | 100.000000 |
| 9539 | Switzerland | CHE | 1996 | 26.473000 | 100.000000 |
| 9803 | Switzerland | CHE | 1997 | 26.524000 | 100.000000 |
| 10067 | Switzerland | CHE | 1998 | 26.576000 | 100.000000 |
| 10331 | Switzerland | CHE | 1999 | 26.627000 | 100.000000 |
| 10595 | Switzerland | CHE | 2000 | 26.678000 | 100.000000 |
| 10859 | Switzerland | CHE | 2001 | 26.678000 | 100.000000 |
| 11123 | Switzerland | CHE | 2002 | 26.640000 | 100.000000 |
| 11387 | Switzerland | CHE | 2003 | 26.602000 | 100.000000 |
| 11651 | Switzerland | CHE | 2004 | 26.564000 | 100.000000 |
| 11915 | Switzerland | CHE | 2005 | 26.526000 | 100.000000 |
| 12179 | Switzerland | CHE | 2006 | 26.488000 | 100.000000 |
| 12443 | Switzerland | CHE | 2007 | 26.450000 | 100.000000 |
| 12707 | Switzerland | CHE | 2008 | 26.412000 | 100.000000 |
| 12971 | Switzerland | CHE | 2009 | 26.375000 | 100.000000 |
| 13235 | Switzerland | CHE | 2010 | 26.337000 | 100.000000 |
| 13499 | Switzerland | CHE | 2011 | 26.299000 | 100.000000 |
| 13763 | Switzerland | CHE | 2012 | 26.261000 | 100.000000 |
| 14027 | Switzerland | CHE | 2013 | 26.213000 | 100.000000 |
| 14291 | Switzerland | CHE | 2014 | 26.156000 | 100.000000 |
| 14555 | Switzerland | CHE | 2015 | 26.088000 | 100.000000 |
| 14819 | Switzerland | CHE | 2016 | 26.010000 | 100.000000 |
| 15083 | Switzerland | CHE | 2017 | 25.923000 | NaN |
| 225 | Syrian Arab Republic | SYR | 1960 | 63.193000 | NaN |
| 489 | Syrian Arab Republic | SYR | 1961 | 62.601000 | NaN |
| 753 | Syrian Arab Republic | SYR | 1962 | 61.956000 | NaN |
| 1017 | Syrian Arab Republic | SYR | 1963 | 61.306000 | NaN |
| 1281 | Syrian Arab Republic | SYR | 1964 | 60.651000 | NaN |
| 1545 | Syrian Arab Republic | SYR | 1965 | 59.994000 | NaN |
| 1809 | Syrian Arab Republic | SYR | 1966 | 59.333000 | NaN |
| 2073 | Syrian Arab Republic | SYR | 1967 | 58.668000 | NaN |
| 2337 | Syrian Arab Republic | SYR | 1968 | 57.999000 | NaN |
| 2601 | Syrian Arab Republic | SYR | 1969 | 57.329000 | NaN |
| 2865 | Syrian Arab Republic | SYR | 1970 | 56.655000 | NaN |
| 3129 | Syrian Arab Republic | SYR | 1971 | 56.249000 | NaN |
| 3393 | Syrian Arab Republic | SYR | 1972 | 55.922000 | NaN |
| 3657 | Syrian Arab Republic | SYR | 1973 | 55.595000 | NaN |
| 3921 | Syrian Arab Republic | SYR | 1974 | 55.267000 | NaN |
| 4185 | Syrian Arab Republic | SYR | 1975 | 54.939000 | NaN |
| 4449 | Syrian Arab Republic | SYR | 1976 | 54.610000 | NaN |
| 4713 | Syrian Arab Republic | SYR | 1977 | 54.282000 | NaN |
| 4977 | Syrian Arab Republic | SYR | 1978 | 53.952000 | NaN |
| 5241 | Syrian Arab Republic | SYR | 1979 | 53.623000 | NaN |
| 5505 | Syrian Arab Republic | SYR | 1980 | 53.292000 | NaN |
| 5769 | Syrian Arab Republic | SYR | 1981 | 52.962000 | NaN |
| 6033 | Syrian Arab Republic | SYR | 1982 | 52.732000 | NaN |
| 6297 | Syrian Arab Republic | SYR | 1983 | 52.524000 | NaN |
| 6561 | Syrian Arab Republic | SYR | 1984 | 52.316000 | NaN |
| 6825 | Syrian Arab Republic | SYR | 1985 | 52.109000 | NaN |
| 7089 | Syrian Arab Republic | SYR | 1986 | 51.901000 | NaN |
| 7353 | Syrian Arab Republic | SYR | 1987 | 51.693000 | NaN |
| 7617 | Syrian Arab Republic | SYR | 1988 | 51.485000 | NaN |
| 7881 | Syrian Arab Republic | SYR | 1989 | 51.277000 | NaN |
| 8145 | Syrian Arab Republic | SYR | 1990 | 51.069000 | 80.545845 |
| 8409 | Syrian Arab Republic | SYR | 1991 | 50.861000 | 81.389816 |
| 8673 | Syrian Arab Republic | SYR | 1992 | 50.653000 | 82.233284 |
| 8937 | Syrian Arab Republic | SYR | 1993 | 50.445000 | 83.073692 |
| 9201 | Syrian Arab Republic | SYR | 1994 | 50.236000 | 83.907982 |
| 9465 | Syrian Arab Republic | SYR | 1995 | 49.896000 | 84.733093 |
| 9729 | Syrian Arab Republic | SYR | 1996 | 49.527000 | 85.545967 |
| 9993 | Syrian Arab Republic | SYR | 1997 | 49.159000 | 86.343544 |
| 10257 | Syrian Arab Republic | SYR | 1998 | 48.790000 | 87.122772 |
| 10521 | Syrian Arab Republic | SYR | 1999 | 48.422000 | 87.880585 |
| 10785 | Syrian Arab Republic | SYR | 2000 | 48.053000 | 88.615440 |
| 11049 | Syrian Arab Republic | SYR | 2001 | 47.686000 | 89.331894 |
| 11313 | Syrian Arab Republic | SYR | 2002 | 47.318000 | 86.600000 |
| 11577 | Syrian Arab Republic | SYR | 2003 | 46.951000 | 90.733810 |
| 11841 | Syrian Arab Republic | SYR | 2004 | 46.583000 | 91.431412 |
| 12105 | Syrian Arab Republic | SYR | 2005 | 46.217000 | 92.134850 |
| 12369 | Syrian Arab Republic | SYR | 2006 | 45.846000 | 99.505757 |
| 12633 | Syrian Arab Republic | SYR | 2007 | 45.471000 | 93.583504 |
| 12897 | Syrian Arab Republic | SYR | 2008 | 45.092000 | 94.339340 |
| 13161 | Syrian Arab Republic | SYR | 2009 | 44.710000 | 95.116203 |
| 13425 | Syrian Arab Republic | SYR | 2010 | 44.323000 | 92.700000 |
| 13689 | Syrian Arab Republic | SYR | 2011 | 43.934000 | 96.720993 |
| 13953 | Syrian Arab Republic | SYR | 2012 | 43.541000 | 97.542915 |
| 14217 | Syrian Arab Republic | SYR | 2013 | 43.145000 | 98.359680 |
| 14481 | Syrian Arab Republic | SYR | 2014 | 42.745000 | 99.090652 |
| 14745 | Syrian Arab Republic | SYR | 2015 | 42.344000 | 99.636520 |
| 15009 | Syrian Arab Republic | SYR | 2016 | 41.939000 | 100.000000 |
| 15273 | Syrian Arab Republic | SYR | 2017 | 41.533000 | NaN |
| 232 | Tajikistan | TJK | 1960 | 66.832000 | NaN |
| 496 | Tajikistan | TJK | 1961 | 66.440000 | NaN |
| 760 | Tajikistan | TJK | 1962 | 66.045000 | NaN |
| 1024 | Tajikistan | TJK | 1963 | 65.649000 | NaN |
| 1288 | Tajikistan | TJK | 1964 | 65.249000 | NaN |
| 1552 | Tajikistan | TJK | 1965 | 64.848000 | NaN |
| 1816 | Tajikistan | TJK | 1966 | 64.445000 | NaN |
| 2080 | Tajikistan | TJK | 1967 | 64.040000 | NaN |
| 2344 | Tajikistan | TJK | 1968 | 63.632000 | NaN |
| 2608 | Tajikistan | TJK | 1969 | 63.223000 | NaN |
| 2872 | Tajikistan | TJK | 1970 | 63.124000 | NaN |
| 3136 | Tajikistan | TJK | 1971 | 63.393000 | NaN |
| 3400 | Tajikistan | TJK | 1972 | 63.663000 | NaN |
| 3664 | Tajikistan | TJK | 1973 | 63.930000 | NaN |
| 3928 | Tajikistan | TJK | 1974 | 64.198000 | NaN |
| 4192 | Tajikistan | TJK | 1975 | 64.464000 | NaN |
| 4456 | Tajikistan | TJK | 1976 | 64.730000 | NaN |
| 4720 | Tajikistan | TJK | 1977 | 64.994000 | NaN |
| 4984 | Tajikistan | TJK | 1978 | 65.257000 | NaN |
| 5248 | Tajikistan | TJK | 1979 | 65.498000 | NaN |
| 5512 | Tajikistan | TJK | 1980 | 65.711000 | NaN |
| 5776 | Tajikistan | TJK | 1981 | 65.922000 | NaN |
| 6040 | Tajikistan | TJK | 1982 | 66.134000 | NaN |
| 6304 | Tajikistan | TJK | 1983 | 66.345000 | NaN |
| 6568 | Tajikistan | TJK | 1984 | 66.555000 | NaN |
| 6832 | Tajikistan | TJK | 1985 | 66.765000 | NaN |
| 7096 | Tajikistan | TJK | 1986 | 66.974000 | NaN |
| 7360 | Tajikistan | TJK | 1987 | 67.182000 | NaN |
| 7624 | Tajikistan | TJK | 1988 | 67.390000 | NaN |
| 7888 | Tajikistan | TJK | 1989 | 67.769000 | NaN |
| 8152 | Tajikistan | TJK | 1990 | 68.342000 | 96.603432 |
| 8416 | Tajikistan | TJK | 1991 | 68.910000 | 96.821503 |
| 8680 | Tajikistan | TJK | 1992 | 69.473000 | 97.039062 |
| 8944 | Tajikistan | TJK | 1993 | 70.028000 | 97.253563 |
| 9208 | Tajikistan | TJK | 1994 | 70.579000 | 97.461952 |
| 9472 | Tajikistan | TJK | 1995 | 71.123000 | 97.661156 |
| 9736 | Tajikistan | TJK | 1996 | 71.662000 | 97.848122 |
| 10000 | Tajikistan | TJK | 1997 | 72.194000 | 98.006058 |
| 10264 | Tajikistan | TJK | 1998 | 72.720000 | 98.157394 |
| 10528 | Tajikistan | TJK | 1999 | 73.240000 | 97.000000 |
| 10792 | Tajikistan | TJK | 2000 | 73.514000 | 98.467742 |
| 11056 | Tajikistan | TJK | 2001 | 73.543000 | 98.495285 |
| 11320 | Tajikistan | TJK | 2002 | 73.571000 | 99.000000 |
| 11584 | Tajikistan | TJK | 2003 | 73.600000 | 100.000000 |
| 11848 | Tajikistan | TJK | 2004 | 73.583000 | 98.730705 |
| 12112 | Tajikistan | TJK | 2005 | 73.567000 | 99.300000 |
| 12376 | Tajikistan | TJK | 2006 | 73.550000 | 98.906448 |
| 12640 | Tajikistan | TJK | 2007 | 73.534000 | 99.016609 |
| 12904 | Tajikistan | TJK | 2008 | 73.517000 | 99.146080 |
| 13168 | Tajikistan | TJK | 2009 | 73.500000 | 99.000000 |
| 13432 | Tajikistan | TJK | 2010 | 73.484000 | 99.461281 |
| 13696 | Tajikistan | TJK | 2011 | 73.467000 | 99.636391 |
| 13960 | Tajikistan | TJK | 2012 | 73.432000 | 99.100000 |
| 14224 | Tajikistan | TJK | 2013 | 73.379000 | 99.917450 |
| 14488 | Tajikistan | TJK | 2014 | 73.308000 | 99.978409 |
| 14752 | Tajikistan | TJK | 2015 | 73.218000 | 99.997353 |
| 15016 | Tajikistan | TJK | 2016 | 73.109000 | 100.000000 |
| 15280 | Tajikistan | TJK | 2017 | 72.982000 | NaN |
| 244 | Tanzania | TZA | 1960 | 94.754000 | NaN |
| 508 | Tanzania | TZA | 1961 | 94.606000 | NaN |
| 772 | Tanzania | TZA | 1962 | 94.453000 | NaN |
| 1036 | Tanzania | TZA | 1963 | 94.296000 | NaN |
| 1300 | Tanzania | TZA | 1964 | 94.135000 | NaN |
| 1564 | Tanzania | TZA | 1965 | 93.970000 | NaN |
| 1828 | Tanzania | TZA | 1966 | 93.801000 | NaN |
| 2092 | Tanzania | TZA | 1967 | 93.627000 | NaN |
| 2356 | Tanzania | TZA | 1968 | 93.196000 | NaN |
| 2620 | Tanzania | TZA | 1969 | 92.689000 | NaN |
| 2884 | Tanzania | TZA | 1970 | 92.148000 | NaN |
| 3148 | Tanzania | TZA | 1971 | 91.569000 | NaN |
| 3412 | Tanzania | TZA | 1972 | 90.952000 | NaN |
| 3676 | Tanzania | TZA | 1973 | 90.296000 | NaN |
| 3940 | Tanzania | TZA | 1974 | 89.597000 | NaN |
| 4204 | Tanzania | TZA | 1975 | 88.854000 | NaN |
| 4468 | Tanzania | TZA | 1976 | 88.063000 | NaN |
| 4732 | Tanzania | TZA | 1977 | 87.227000 | NaN |
| 4996 | Tanzania | TZA | 1978 | 86.341000 | NaN |
| 5260 | Tanzania | TZA | 1979 | 85.859000 | NaN |
| 5524 | Tanzania | TZA | 1980 | 85.445000 | NaN |
| 5788 | Tanzania | TZA | 1981 | 85.024000 | NaN |
| 6052 | Tanzania | TZA | 1982 | 84.591000 | NaN |
| 6316 | Tanzania | TZA | 1983 | 84.149000 | NaN |
| 6580 | Tanzania | TZA | 1984 | 83.695000 | NaN |
| 6844 | Tanzania | TZA | 1985 | 83.233000 | NaN |
| 7108 | Tanzania | TZA | 1986 | 82.759000 | NaN |
| 7372 | Tanzania | TZA | 1987 | 82.275000 | NaN |
| 7636 | Tanzania | TZA | 1988 | 81.779000 | NaN |
| 7900 | Tanzania | TZA | 1989 | 81.435000 | NaN |
| 8164 | Tanzania | TZA | 1990 | 81.116000 | 2.483709 |
| 8428 | Tanzania | TZA | 1991 | 80.792000 | 3.234415 |
| 8692 | Tanzania | TZA | 1992 | 80.464000 | 6.800000 |
| 8956 | Tanzania | TZA | 1993 | 80.133000 | 4.731749 |
| 9220 | Tanzania | TZA | 1994 | 79.797000 | 5.472768 |
| 9484 | Tanzania | TZA | 1995 | 79.457000 | 6.204610 |
| 9748 | Tanzania | TZA | 1996 | 79.112000 | 9.400000 |
| 10012 | Tanzania | TZA | 1997 | 78.763000 | 7.628525 |
| 10276 | Tanzania | TZA | 1998 | 78.410000 | 8.314480 |
| 10540 | Tanzania | TZA | 1999 | 78.053000 | 8.000000 |
| 10804 | Tanzania | TZA | 2000 | 77.691000 | 9.620610 |
| 11068 | Tanzania | TZA | 2001 | 77.326000 | 10.243790 |
| 11332 | Tanzania | TZA | 2002 | 76.956000 | 10.854622 |
| 11596 | Tanzania | TZA | 2003 | 76.389000 | 11.100000 |
| 11860 | Tanzania | TZA | 2004 | 75.777000 | 11.400000 |
| 12124 | Tanzania | TZA | 2005 | 75.155000 | 12.673669 |
| 12388 | Tanzania | TZA | 2006 | 74.522000 | 13.295745 |
| 12652 | Tanzania | TZA | 2007 | 73.879000 | 13.935788 |
| 12916 | Tanzania | TZA | 2008 | 73.224000 | 11.500000 |
| 13180 | Tanzania | TZA | 2009 | 72.561000 | 11.200000 |
| 13444 | Tanzania | TZA | 2010 | 71.886000 | 14.800000 |
| 13708 | Tanzania | TZA | 2011 | 71.202000 | 14.200000 |
| 13972 | Tanzania | TZA | 2012 | 70.507000 | 15.300000 |
| 14236 | Tanzania | TZA | 2013 | 69.804000 | 16.400000 |
| 14500 | Tanzania | TZA | 2014 | 69.099000 | 18.910179 |
| 14764 | Tanzania | TZA | 2015 | 68.392000 | 18.500000 |
| 15028 | Tanzania | TZA | 2016 | 67.684000 | 32.800000 |
| 15292 | Tanzania | TZA | 2017 | 66.977000 | NaN |
| 231 | Thailand | THA | 1960 | 80.328000 | NaN |
| 495 | Thailand | THA | 1961 | 80.219000 | NaN |
| 759 | Thailand | THA | 1962 | 80.110000 | NaN |
| 1023 | Thailand | THA | 1963 | 80.000000 | NaN |
| 1287 | Thailand | THA | 1964 | 79.890000 | NaN |
| 1551 | Thailand | THA | 1965 | 79.779000 | NaN |
| 1815 | Thailand | THA | 1966 | 79.668000 | NaN |
| 2079 | Thailand | THA | 1967 | 79.556000 | NaN |
| 2343 | Thailand | THA | 1968 | 79.444000 | NaN |
| 2607 | Thailand | THA | 1969 | 79.332000 | NaN |
| 2871 | Thailand | THA | 1970 | 79.111000 | NaN |
| 3135 | Thailand | THA | 1971 | 78.558000 | NaN |
| 3399 | Thailand | THA | 1972 | 77.994000 | NaN |
| 3663 | Thailand | THA | 1973 | 77.421000 | NaN |
| 3927 | Thailand | THA | 1974 | 76.836000 | NaN |
| 4191 | Thailand | THA | 1975 | 76.242000 | NaN |
| 4455 | Thailand | THA | 1976 | 75.635000 | NaN |
| 4719 | Thailand | THA | 1977 | 75.020000 | NaN |
| 4983 | Thailand | THA | 1978 | 74.394000 | NaN |
| 5247 | Thailand | THA | 1979 | 73.758000 | NaN |
| 5511 | Thailand | THA | 1980 | 73.209000 | NaN |
| 5775 | Thailand | THA | 1981 | 72.951000 | NaN |
| 6039 | Thailand | THA | 1982 | 72.692000 | NaN |
| 6303 | Thailand | THA | 1983 | 72.431000 | NaN |
| 6567 | Thailand | THA | 1984 | 72.168000 | NaN |
| 6831 | Thailand | THA | 1985 | 71.905000 | NaN |
| 7095 | Thailand | THA | 1986 | 71.639000 | NaN |
| 7359 | Thailand | THA | 1987 | 71.372000 | NaN |
| 7623 | Thailand | THA | 1988 | 71.103000 | NaN |
| 7887 | Thailand | THA | 1989 | 70.833000 | NaN |
| 8151 | Thailand | THA | 1990 | 70.576000 | 75.898712 |
| 8415 | Thailand | THA | 1991 | 70.407000 | 77.065422 |
| 8679 | Thailand | THA | 1992 | 70.237000 | 78.231621 |
| 8943 | Thailand | THA | 1993 | 70.066000 | 79.394760 |
| 9207 | Thailand | THA | 1994 | 69.895000 | 80.551788 |
| 9471 | Thailand | THA | 1995 | 69.724000 | 81.699631 |
| 9735 | Thailand | THA | 1996 | 69.551000 | 82.835236 |
| 9999 | Thailand | THA | 1997 | 69.378000 | 83.955551 |
| 10263 | Thailand | THA | 1998 | 69.205000 | 85.057510 |
| 10527 | Thailand | THA | 1999 | 69.031000 | 86.138054 |
| 10791 | Thailand | THA | 2000 | 68.609000 | 82.100000 |
| 11055 | Thailand | THA | 2001 | 67.428000 | 88.234825 |
| 11319 | Thailand | THA | 2002 | 66.221000 | 89.261665 |
| 11583 | Thailand | THA | 2003 | 64.994000 | 90.282211 |
| 11847 | Thailand | THA | 2004 | 63.744000 | 91.302544 |
| 12111 | Thailand | THA | 2005 | 62.480000 | 92.328720 |
| 12375 | Thailand | THA | 2006 | 61.196000 | 99.146201 |
| 12639 | Thailand | THA | 2007 | 59.896000 | 94.422844 |
| 12903 | Thailand | THA | 2008 | 58.581000 | 95.501411 |
| 13167 | Thailand | THA | 2009 | 57.256000 | 98.960000 |
| 13431 | Thailand | THA | 2010 | 55.920000 | 99.700000 |
| 13695 | Thailand | THA | 2011 | 54.606000 | 98.716415 |
| 13959 | Thailand | THA | 2012 | 53.318000 | 99.108624 |
| 14223 | Thailand | THA | 2013 | 52.057000 | 99.855698 |
| 14487 | Thailand | THA | 2014 | 50.826000 | 99.981667 |
| 14751 | Thailand | THA | 2015 | 49.626000 | 99.600000 |
| 15015 | Thailand | THA | 2016 | 48.460000 | 100.000000 |
| 15279 | Thailand | THA | 2017 | 47.329000 | NaN |
| 235 | Timor-Leste | TLS | 1960 | 89.909000 | NaN |
| 499 | Timor-Leste | TLS | 1961 | 89.757000 | NaN |
| 763 | Timor-Leste | TLS | 1962 | 89.489000 | NaN |
| 1027 | Timor-Leste | TLS | 1963 | 89.215000 | NaN |
| 1291 | Timor-Leste | TLS | 1964 | 88.934000 | NaN |
| 1555 | Timor-Leste | TLS | 1965 | 88.647000 | NaN |
| 1819 | Timor-Leste | TLS | 1966 | 88.354000 | NaN |
| 2083 | Timor-Leste | TLS | 1967 | 88.054000 | NaN |
| 2347 | Timor-Leste | TLS | 1968 | 87.747000 | NaN |
| 2611 | Timor-Leste | TLS | 1969 | 87.434000 | NaN |
| 2875 | Timor-Leste | TLS | 1970 | 87.114000 | NaN |
| 3139 | Timor-Leste | TLS | 1971 | 86.787000 | NaN |
| 3403 | Timor-Leste | TLS | 1972 | 86.452000 | NaN |
| 3667 | Timor-Leste | TLS | 1973 | 86.111000 | NaN |
| 3931 | Timor-Leste | TLS | 1974 | 85.763000 | NaN |
| 4195 | Timor-Leste | TLS | 1975 | 85.407000 | NaN |
| 4459 | Timor-Leste | TLS | 1976 | 85.044000 | NaN |
| 4723 | Timor-Leste | TLS | 1977 | 84.674000 | NaN |
| 4987 | Timor-Leste | TLS | 1978 | 84.296000 | NaN |
| 5251 | Timor-Leste | TLS | 1979 | 83.911000 | NaN |
| 5515 | Timor-Leste | TLS | 1980 | 83.517000 | NaN |
| 5779 | Timor-Leste | TLS | 1981 | 83.117000 | NaN |
| 6043 | Timor-Leste | TLS | 1982 | 82.709000 | NaN |
| 6307 | Timor-Leste | TLS | 1983 | 82.292000 | NaN |
| 6571 | Timor-Leste | TLS | 1984 | 81.868000 | NaN |
| 6835 | Timor-Leste | TLS | 1985 | 81.437000 | NaN |
| 7099 | Timor-Leste | TLS | 1986 | 80.997000 | NaN |
| 7363 | Timor-Leste | TLS | 1987 | 80.549000 | NaN |
| 7627 | Timor-Leste | TLS | 1988 | 80.093000 | NaN |
| 7891 | Timor-Leste | TLS | 1989 | 79.630000 | NaN |
| 8155 | Timor-Leste | TLS | 1990 | 79.158000 | 0.010000 |
| 8419 | Timor-Leste | TLS | 1991 | 78.785000 | 0.087451 |
| 8683 | Timor-Leste | TLS | 1992 | 78.460000 | 0.465931 |
| 8947 | Timor-Leste | TLS | 1993 | 78.133000 | 1.524141 |
| 9211 | Timor-Leste | TLS | 1994 | 77.801000 | 3.119892 |
| 9475 | Timor-Leste | TLS | 1995 | 77.466000 | 5.912779 |
| 9739 | Timor-Leste | TLS | 1996 | 77.127000 | 8.693429 |
| 10003 | Timor-Leste | TLS | 1997 | 76.785000 | 11.458783 |
| 10267 | Timor-Leste | TLS | 1998 | 76.439000 | 14.205783 |
| 10531 | Timor-Leste | TLS | 1999 | 76.090000 | 16.931370 |
| 10795 | Timor-Leste | TLS | 2000 | 75.737000 | 19.634003 |
| 11059 | Timor-Leste | TLS | 2001 | 75.381000 | 25.600000 |
| 11323 | Timor-Leste | TLS | 2002 | 75.021000 | 24.990105 |
| 11587 | Timor-Leste | TLS | 2003 | 74.657000 | 27.700000 |
| 11851 | Timor-Leste | TLS | 2004 | 74.290000 | 30.321070 |
| 12115 | Timor-Leste | TLS | 2005 | 73.686000 | 32.992283 |
| 12379 | Timor-Leste | TLS | 2006 | 73.066000 | 35.675404 |
| 12643 | Timor-Leste | TLS | 2007 | 72.436000 | 36.600000 |
| 12907 | Timor-Leste | TLS | 2008 | 71.797000 | 41.100101 |
| 13171 | Timor-Leste | TLS | 2009 | 71.150000 | 43.844738 |
| 13435 | Timor-Leste | TLS | 2010 | 70.493000 | 38.000000 |
| 13699 | Timor-Leste | TLS | 2011 | 69.829000 | 49.385078 |
| 13963 | Timor-Leste | TLS | 2012 | 69.168000 | 52.174774 |
| 14227 | Timor-Leste | TLS | 2013 | 68.515000 | 54.973484 |
| 14491 | Timor-Leste | TLS | 2014 | 67.869000 | 57.778198 |
| 14755 | Timor-Leste | TLS | 2015 | 67.230000 | 67.281534 |
| 15019 | Timor-Leste | TLS | 2016 | 66.599000 | 63.394138 |
| 15283 | Timor-Leste | TLS | 2017 | 65.978000 | NaN |
| 230 | Togo | TGO | 1960 | 89.902000 | NaN |
| 494 | Togo | TGO | 1961 | 89.060000 | NaN |
| 758 | Togo | TGO | 1962 | 88.156000 | NaN |
| 1022 | Togo | TGO | 1963 | 87.189000 | NaN |
| 1286 | Togo | TGO | 1964 | 86.153000 | NaN |
| 1550 | Togo | TGO | 1965 | 85.050000 | NaN |
| 1814 | Togo | TGO | 1966 | 83.875000 | NaN |
| 2078 | Togo | TGO | 1967 | 82.626000 | NaN |
| 2342 | Togo | TGO | 1968 | 81.300000 | NaN |
| 2606 | Togo | TGO | 1969 | 79.902000 | NaN |
| 2870 | Togo | TGO | 1970 | 78.720000 | NaN |
| 3134 | Togo | TGO | 1971 | 78.398000 | NaN |
| 3398 | Togo | TGO | 1972 | 78.071000 | NaN |
| 3662 | Togo | TGO | 1973 | 77.742000 | NaN |
| 3926 | Togo | TGO | 1974 | 77.409000 | NaN |
| 4190 | Togo | TGO | 1975 | 77.073000 | NaN |
| 4454 | Togo | TGO | 1976 | 76.732000 | NaN |
| 4718 | Togo | TGO | 1977 | 76.389000 | NaN |
| 4982 | Togo | TGO | 1978 | 76.042000 | NaN |
| 5246 | Togo | TGO | 1979 | 75.692000 | NaN |
| 5510 | Togo | TGO | 1980 | 75.337000 | NaN |
| 5774 | Togo | TGO | 1981 | 74.980000 | NaN |
| 6038 | Togo | TGO | 1982 | 74.609000 | NaN |
| 6302 | Togo | TGO | 1983 | 74.222000 | NaN |
| 6566 | Togo | TGO | 1984 | 73.831000 | NaN |
| 6830 | Togo | TGO | 1985 | 73.438000 | NaN |
| 7094 | Togo | TGO | 1986 | 73.040000 | NaN |
| 7358 | Togo | TGO | 1987 | 72.638000 | NaN |
| 7622 | Togo | TGO | 1988 | 72.232000 | NaN |
| 7886 | Togo | TGO | 1989 | 71.824000 | NaN |
| 8150 | Togo | TGO | 1990 | 71.411000 | 0.010000 |
| 8414 | Togo | TGO | 1991 | 70.995000 | 0.942453 |
| 8678 | Togo | TGO | 1992 | 70.575000 | 2.845302 |
| 8942 | Togo | TGO | 1993 | 70.152000 | 4.745091 |
| 9206 | Togo | TGO | 1994 | 69.725000 | 6.638762 |
| 9470 | Togo | TGO | 1995 | 69.295000 | 8.523256 |
| 9734 | Togo | TGO | 1996 | 68.861000 | 10.395514 |
| 9998 | Togo | TGO | 1997 | 68.424000 | 12.252477 |
| 10262 | Togo | TGO | 1998 | 67.984000 | 15.300000 |
| 10526 | Togo | TGO | 1999 | 67.540000 | 15.908278 |
| 10790 | Togo | TGO | 2000 | 67.093000 | 16.956235 |
| 11054 | Togo | TGO | 2001 | 66.644000 | 19.478350 |
| 11318 | Togo | TGO | 2002 | 66.191000 | 21.241835 |
| 11582 | Togo | TGO | 2003 | 65.735000 | 22.999037 |
| 11846 | Togo | TGO | 2004 | 65.276000 | 24.756016 |
| 12110 | Togo | TGO | 2005 | 64.815000 | 26.518839 |
| 12374 | Togo | TGO | 2006 | 64.351000 | 27.900000 |
| 12638 | Togo | TGO | 2007 | 63.884000 | 30.086264 |
| 12902 | Togo | TGO | 2008 | 63.413000 | 31.901480 |
| 13166 | Togo | TGO | 2009 | 62.942000 | 33.737724 |
| 13430 | Togo | TGO | 2010 | 62.467000 | 30.791744 |
| 13694 | Togo | TGO | 2011 | 61.990000 | 39.700000 |
| 13958 | Togo | TGO | 2012 | 61.507000 | 39.342583 |
| 14222 | Togo | TGO | 2013 | 61.021000 | 41.232899 |
| 14486 | Togo | TGO | 2014 | 60.531000 | 45.700000 |
| 14750 | Togo | TGO | 2015 | 60.036000 | 45.028545 |
| 15014 | Togo | TGO | 2016 | 59.537000 | 46.928375 |
| 15278 | Togo | TGO | 2017 | 59.035000 | NaN |
| 237 | Tonga | TON | 1960 | 82.448000 | NaN |
| 501 | Tonga | TON | 1961 | 82.071000 | NaN |
| 765 | Tonga | TON | 1962 | 81.688000 | NaN |
| 1029 | Tonga | TON | 1963 | 81.299000 | NaN |
| 1293 | Tonga | TON | 1964 | 80.902000 | NaN |
| 1557 | Tonga | TON | 1965 | 80.501000 | NaN |
| 1821 | Tonga | TON | 1966 | 80.092000 | NaN |
| 2085 | Tonga | TON | 1967 | 79.903000 | NaN |
| 2349 | Tonga | TON | 1968 | 79.873000 | NaN |
| 2613 | Tonga | TON | 1969 | 79.843000 | NaN |
| 2877 | Tonga | TON | 1970 | 79.813000 | NaN |
| 3141 | Tonga | TON | 1971 | 79.783000 | NaN |
| 3405 | Tonga | TON | 1972 | 79.753000 | NaN |
| 3669 | Tonga | TON | 1973 | 79.723000 | NaN |
| 3933 | Tonga | TON | 1974 | 79.693000 | NaN |
| 4197 | Tonga | TON | 1975 | 79.663000 | NaN |
| 4461 | Tonga | TON | 1976 | 79.633000 | NaN |
| 4725 | Tonga | TON | 1977 | 79.496000 | NaN |
| 4989 | Tonga | TON | 1978 | 79.281000 | NaN |
| 5253 | Tonga | TON | 1979 | 79.065000 | NaN |
| 5517 | Tonga | TON | 1980 | 78.846000 | NaN |
| 5781 | Tonga | TON | 1981 | 78.627000 | NaN |
| 6045 | Tonga | TON | 1982 | 78.406000 | NaN |
| 6309 | Tonga | TON | 1983 | 78.183000 | NaN |
| 6573 | Tonga | TON | 1984 | 77.958000 | NaN |
| 6837 | Tonga | TON | 1985 | 77.732000 | NaN |
| 7101 | Tonga | TON | 1986 | 77.504000 | NaN |
| 7365 | Tonga | TON | 1987 | 77.391000 | NaN |
| 7629 | Tonga | TON | 1988 | 77.359000 | NaN |
| 7893 | Tonga | TON | 1989 | 77.328000 | NaN |
| 8157 | Tonga | TON | 1990 | 77.296000 | 77.799767 |
| 8421 | Tonga | TON | 1991 | 77.264000 | 78.598579 |
| 8685 | Tonga | TON | 1992 | 77.232000 | 79.396873 |
| 8949 | Tonga | TON | 1993 | 77.200000 | 80.192116 |
| 9213 | Tonga | TON | 1994 | 77.168000 | 80.000000 |
| 9477 | Tonga | TON | 1995 | 77.136000 | 81.761177 |
| 9741 | Tonga | TON | 1996 | 77.103000 | 82.528885 |
| 10005 | Tonga | TON | 1997 | 77.073000 | 83.281296 |
| 10269 | Tonga | TON | 1998 | 77.045000 | 84.015350 |
| 10533 | Tonga | TON | 1999 | 77.016000 | 84.727997 |
| 10797 | Tonga | TON | 2000 | 76.988000 | 85.417686 |
| 11061 | Tonga | TON | 2001 | 76.959000 | 86.088966 |
| 11325 | Tonga | TON | 2002 | 76.931000 | 86.747902 |
| 11589 | Tonga | TON | 2003 | 76.902000 | 87.400551 |
| 11853 | Tonga | TON | 2004 | 76.873000 | 88.052979 |
| 12117 | Tonga | TON | 2005 | 76.845000 | 88.711250 |
| 12381 | Tonga | TON | 2006 | 76.816000 | 92.300000 |
| 12645 | Tonga | TON | 2007 | 76.773000 | 90.069572 |
| 12909 | Tonga | TON | 2008 | 76.719000 | 90.780235 |
| 13173 | Tonga | TON | 2009 | 76.665000 | 91.511932 |
| 13437 | Tonga | TON | 2010 | 76.611000 | 92.261650 |
| 13701 | Tonga | TON | 2011 | 76.557000 | 92.175456 |
| 13965 | Tonga | TON | 2012 | 76.502000 | 92.800000 |
| 14229 | Tonga | TON | 2013 | 76.440000 | 94.588905 |
| 14493 | Tonga | TON | 2014 | 76.368000 | 95.380676 |
| 14757 | Tonga | TON | 2015 | 76.288000 | 96.175453 |
| 15021 | Tonga | TON | 2016 | 76.199000 | 97.020000 |
| 15285 | Tonga | TON | 2017 | 76.102000 | NaN |
| 240 | Trinidad and Tobago | TTO | 1960 | 82.651000 | NaN |
| 504 | Trinidad and Tobago | TTO | 1961 | 83.288000 | NaN |
| 768 | Trinidad and Tobago | TTO | 1962 | 83.907000 | NaN |
| 1032 | Trinidad and Tobago | TTO | 1963 | 84.507000 | NaN |
| 1296 | Trinidad and Tobago | TTO | 1964 | 85.090000 | NaN |
| 1560 | Trinidad and Tobago | TTO | 1965 | 85.653000 | NaN |
| 1824 | Trinidad and Tobago | TTO | 1966 | 86.199000 | NaN |
| 2088 | Trinidad and Tobago | TTO | 1967 | 86.727000 | NaN |
| 2352 | Trinidad and Tobago | TTO | 1968 | 87.239000 | NaN |
| 2616 | Trinidad and Tobago | TTO | 1969 | 87.732000 | NaN |
| 2880 | Trinidad and Tobago | TTO | 1970 | 88.124000 | NaN |
| 3144 | Trinidad and Tobago | TTO | 1971 | 88.226000 | NaN |
| 3408 | Trinidad and Tobago | TTO | 1972 | 88.328000 | NaN |
| 3672 | Trinidad and Tobago | TTO | 1973 | 88.429000 | NaN |
| 3936 | Trinidad and Tobago | TTO | 1974 | 88.529000 | NaN |
| 4200 | Trinidad and Tobago | TTO | 1975 | 88.628000 | NaN |
| 4464 | Trinidad and Tobago | TTO | 1976 | 88.726000 | NaN |
| 4728 | Trinidad and Tobago | TTO | 1977 | 88.824000 | NaN |
| 4992 | Trinidad and Tobago | TTO | 1978 | 88.921000 | NaN |
| 5256 | Trinidad and Tobago | TTO | 1979 | 89.017000 | NaN |
| 5520 | Trinidad and Tobago | TTO | 1980 | 89.137000 | NaN |
| 5784 | Trinidad and Tobago | TTO | 1981 | 89.401000 | NaN |
| 6048 | Trinidad and Tobago | TTO | 1982 | 89.659000 | NaN |
| 6312 | Trinidad and Tobago | TTO | 1983 | 89.913000 | NaN |
| 6576 | Trinidad and Tobago | TTO | 1984 | 90.161000 | NaN |
| 6840 | Trinidad and Tobago | TTO | 1985 | 90.403000 | NaN |
| 7104 | Trinidad and Tobago | TTO | 1986 | 90.639000 | NaN |
| 7368 | Trinidad and Tobago | TTO | 1987 | 90.871000 | NaN |
| 7632 | Trinidad and Tobago | TTO | 1988 | 91.098000 | NaN |
| 7896 | Trinidad and Tobago | TTO | 1989 | 91.319000 | NaN |
| 8160 | Trinidad and Tobago | TTO | 1990 | 91.466000 | 82.700455 |
| 8424 | Trinidad and Tobago | TTO | 1991 | 91.258000 | 83.618530 |
| 8688 | Trinidad and Tobago | TTO | 1992 | 91.045000 | 84.536087 |
| 8952 | Trinidad and Tobago | TTO | 1993 | 90.827000 | 85.450592 |
| 9216 | Trinidad and Tobago | TTO | 1994 | 90.605000 | 86.358978 |
| 9480 | Trinidad and Tobago | TTO | 1995 | 90.378000 | 87.258179 |
| 9744 | Trinidad and Tobago | TTO | 1996 | 90.146000 | 88.145149 |
| 10008 | Trinidad and Tobago | TTO | 1997 | 89.909000 | 89.016823 |
| 10272 | Trinidad and Tobago | TTO | 1998 | 89.667000 | 89.870148 |
| 10536 | Trinidad and Tobago | TTO | 1999 | 89.420000 | 90.702049 |
| 10800 | Trinidad and Tobago | TTO | 2000 | 89.223000 | 91.290000 |
| 11064 | Trinidad and Tobago | TTO | 2001 | 89.403000 | 92.301552 |
| 11328 | Trinidad and Tobago | TTO | 2002 | 89.581000 | 93.079750 |
| 11592 | Trinidad and Tobago | TTO | 2003 | 89.756000 | 93.851662 |
| 11856 | Trinidad and Tobago | TTO | 2004 | 89.928000 | 94.623352 |
| 12120 | Trinidad and Tobago | TTO | 2005 | 90.098000 | 95.400887 |
| 12384 | Trinidad and Tobago | TTO | 2006 | 90.265000 | 96.190331 |
| 12648 | Trinidad and Tobago | TTO | 2007 | 90.429000 | 96.997734 |
| 12912 | Trinidad and Tobago | TTO | 2008 | 90.592000 | 97.827667 |
| 13176 | Trinidad and Tobago | TTO | 2009 | 90.751000 | 99.000000 |
| 13440 | Trinidad and Tobago | TTO | 2010 | 90.908000 | 99.298363 |
| 13704 | Trinidad and Tobago | TTO | 2011 | 91.063000 | 99.736145 |
| 13968 | Trinidad and Tobago | TTO | 2012 | 91.205000 | 99.936935 |
| 14232 | Trinidad and Tobago | TTO | 2013 | 91.334000 | 99.992935 |
| 14496 | Trinidad and Tobago | TTO | 2014 | 91.450000 | 100.000000 |
| 14760 | Trinidad and Tobago | TTO | 2015 | 91.555000 | 100.000000 |
| 15024 | Trinidad and Tobago | TTO | 2016 | 91.648000 | 100.000000 |
| 15288 | Trinidad and Tobago | TTO | 2017 | 91.730000 | NaN |
| 241 | Tunisia | TUN | 1960 | 62.489000 | NaN |
| 505 | Tunisia | TUN | 1961 | 62.050000 | NaN |
| 769 | Tunisia | TUN | 1962 | 61.609000 | NaN |
| 1033 | Tunisia | TUN | 1963 | 61.167000 | NaN |
| 1297 | Tunisia | TUN | 1964 | 60.721000 | NaN |
| 1561 | Tunisia | TUN | 1965 | 60.276000 | NaN |
| 1825 | Tunisia | TUN | 1966 | 59.770000 | NaN |
| 2089 | Tunisia | TUN | 1967 | 58.964000 | NaN |
| 2353 | Tunisia | TUN | 1968 | 58.152000 | NaN |
| 2617 | Tunisia | TUN | 1969 | 57.338000 | NaN |
| 2881 | Tunisia | TUN | 1970 | 56.518000 | NaN |
| 3145 | Tunisia | TUN | 1971 | 55.695000 | NaN |
| 3409 | Tunisia | TUN | 1972 | 54.868000 | NaN |
| 3673 | Tunisia | TUN | 1973 | 54.041000 | NaN |
| 3937 | Tunisia | TUN | 1974 | 53.210000 | NaN |
| 4201 | Tunisia | TUN | 1975 | 52.412000 | NaN |
| 4465 | Tunisia | TUN | 1976 | 51.816000 | NaN |
| 4729 | Tunisia | TUN | 1977 | 51.221000 | NaN |
| 4993 | Tunisia | TUN | 1978 | 50.625000 | NaN |
| 5257 | Tunisia | TUN | 1979 | 50.028000 | NaN |
| 5521 | Tunisia | TUN | 1980 | 49.431000 | NaN |
| 5785 | Tunisia | TUN | 1981 | 48.836000 | NaN |
| 6049 | Tunisia | TUN | 1982 | 48.240000 | NaN |
| 6313 | Tunisia | TUN | 1983 | 47.644000 | NaN |
| 6577 | Tunisia | TUN | 1984 | 46.989000 | NaN |
| 6841 | Tunisia | TUN | 1985 | 46.161000 | NaN |
| 7105 | Tunisia | TUN | 1986 | 45.333000 | NaN |
| 7369 | Tunisia | TUN | 1987 | 44.509000 | NaN |
| 7633 | Tunisia | TUN | 1988 | 43.686000 | NaN |
| 7897 | Tunisia | TUN | 1989 | 42.869000 | NaN |
| 8161 | Tunisia | TUN | 1990 | 42.054000 | 87.993347 |
| 8425 | Tunisia | TUN | 1991 | 41.244000 | 88.665298 |
| 8689 | Tunisia | TUN | 1992 | 40.438000 | 89.336746 |
| 8953 | Tunisia | TUN | 1993 | 39.638000 | 90.005127 |
| 9217 | Tunisia | TUN | 1994 | 38.922000 | 86.800000 |
| 9481 | Tunisia | TUN | 1995 | 38.526000 | 88.700000 |
| 9745 | Tunisia | TUN | 1996 | 38.130000 | 90.400000 |
| 10009 | Tunisia | TUN | 1997 | 37.738000 | 92.000000 |
| 10273 | Tunisia | TUN | 1998 | 37.347000 | 93.200000 |
| 10537 | Tunisia | TUN | 1999 | 36.957000 | 94.200000 |
| 10801 | Tunisia | TUN | 2000 | 36.568000 | 94.800000 |
| 11065 | Tunisia | TUN | 2001 | 36.182000 | 97.300000 |
| 11329 | Tunisia | TUN | 2002 | 35.798000 | 97.800000 |
| 11593 | Tunisia | TUN | 2003 | 35.415000 | 98.400000 |
| 11857 | Tunisia | TUN | 2004 | 35.071000 | 99.000000 |
| 12121 | Tunisia | TUN | 2005 | 34.902000 | 99.300000 |
| 12385 | Tunisia | TUN | 2006 | 34.734000 | 99.400000 |
| 12649 | Tunisia | TUN | 2007 | 34.567000 | 99.400000 |
| 12913 | Tunisia | TUN | 2008 | 34.399000 | 99.400000 |
| 13177 | Tunisia | TUN | 2009 | 34.233000 | 99.500000 |
| 13441 | Tunisia | TUN | 2010 | 34.066000 | 99.500000 |
| 13705 | Tunisia | TUN | 2011 | 33.900000 | 99.500000 |
| 13969 | Tunisia | TUN | 2012 | 33.726000 | 99.500000 |
| 14233 | Tunisia | TUN | 2013 | 33.544000 | 99.700000 |
| 14497 | Tunisia | TUN | 2014 | 33.355000 | 99.800000 |
| 14761 | Tunisia | TUN | 2015 | 33.158000 | 100.000000 |
| 15025 | Tunisia | TUN | 2016 | 32.953000 | 100.000000 |
| 15289 | Tunisia | TUN | 2017 | 32.741000 | NaN |
| 242 | Turkey | TUR | 1960 | 68.485000 | NaN |
| 506 | Turkey | TUR | 1961 | 67.936000 | NaN |
| 770 | Turkey | TUR | 1962 | 67.402000 | NaN |
| 1034 | Turkey | TUR | 1963 | 66.863000 | NaN |
| 1298 | Turkey | TUR | 1964 | 66.320000 | NaN |
| 1562 | Turkey | TUR | 1965 | 65.773000 | NaN |
| 1826 | Turkey | TUR | 1966 | 65.051000 | NaN |
| 2090 | Turkey | TUR | 1967 | 64.241000 | NaN |
| 2354 | Turkey | TUR | 1968 | 63.423000 | NaN |
| 2618 | Turkey | TUR | 1969 | 62.599000 | NaN |
| 2882 | Turkey | TUR | 1970 | 61.766000 | NaN |
| 3146 | Turkey | TUR | 1971 | 61.055000 | NaN |
| 3410 | Turkey | TUR | 1972 | 60.400000 | NaN |
| 3674 | Turkey | TUR | 1973 | 59.742000 | NaN |
| 3938 | Turkey | TUR | 1974 | 59.080000 | NaN |
| 4202 | Turkey | TUR | 1975 | 58.414000 | NaN |
| 4466 | Turkey | TUR | 1976 | 57.913000 | NaN |
| 4730 | Turkey | TUR | 1977 | 57.492000 | NaN |
| 4994 | Turkey | TUR | 1978 | 57.069000 | NaN |
| 5258 | Turkey | TUR | 1979 | 56.645000 | NaN |
| 5522 | Turkey | TUR | 1980 | 56.220000 | NaN |
| 5786 | Turkey | TUR | 1981 | 54.811000 | NaN |
| 6050 | Turkey | TUR | 1982 | 53.003000 | NaN |
| 6314 | Turkey | TUR | 1983 | 51.188000 | NaN |
| 6578 | Turkey | TUR | 1984 | 49.366000 | NaN |
| 6842 | Turkey | TUR | 1985 | 47.552000 | NaN |
| 7106 | Turkey | TUR | 1986 | 46.070000 | NaN |
| 7370 | Turkey | TUR | 1987 | 44.739000 | NaN |
| 7634 | Turkey | TUR | 1988 | 43.413000 | NaN |
| 7898 | Turkey | TUR | 1989 | 42.101000 | NaN |
| 8162 | Turkey | TUR | 1990 | 40.797000 | 88.781136 |
| 8426 | Turkey | TUR | 1991 | 40.024000 | 89.415413 |
| 8690 | Turkey | TUR | 1992 | 39.482000 | 90.049179 |
| 8954 | Turkey | TUR | 1993 | 38.945000 | 90.679893 |
| 9218 | Turkey | TUR | 1994 | 38.410000 | 91.304489 |
| 9482 | Turkey | TUR | 1995 | 37.877000 | 91.919899 |
| 9746 | Turkey | TUR | 1996 | 37.347000 | 92.523079 |
| 10010 | Turkey | TUR | 1997 | 36.821000 | 93.110962 |
| 10274 | Turkey | TUR | 1998 | 36.297000 | 93.680489 |
| 10538 | Turkey | TUR | 1999 | 35.777000 | 94.228607 |
| 10802 | Turkey | TUR | 2000 | 35.259000 | 94.753769 |
| 11066 | Turkey | TUR | 2001 | 34.668000 | 95.260521 |
| 11330 | Turkey | TUR | 2002 | 34.047000 | 95.754929 |
| 11594 | Turkey | TUR | 2003 | 33.431000 | 96.243050 |
| 11858 | Turkey | TUR | 2004 | 32.820000 | 96.730949 |
| 12122 | Turkey | TUR | 2005 | 32.217000 | 97.224693 |
| 12386 | Turkey | TUR | 2006 | 31.618000 | 97.730339 |
| 12650 | Turkey | TUR | 2007 | 31.025000 | 98.269852 |
| 12914 | Turkey | TUR | 2008 | 30.438000 | 98.806900 |
| 13178 | Turkey | TUR | 2009 | 29.859000 | 99.310745 |
| 13442 | Turkey | TUR | 2010 | 29.285000 | 100.000000 |
| 13706 | Turkey | TUR | 2011 | 28.718000 | 99.910782 |
| 13970 | Turkey | TUR | 2012 | 28.166000 | 99.985657 |
| 14234 | Turkey | TUR | 2013 | 27.630000 | 99.999252 |
| 14498 | Turkey | TUR | 2014 | 27.109000 | 100.000000 |
| 14762 | Turkey | TUR | 2015 | 26.603000 | 100.000000 |
| 15026 | Turkey | TUR | 2016 | 26.113000 | 100.000000 |
| 15290 | Turkey | TUR | 2017 | 25.637000 | NaN |
| 233 | Turkmenistan | TKM | 1960 | 53.588000 | NaN |
| 497 | Turkmenistan | TKM | 1961 | 53.443000 | NaN |
| 761 | Turkmenistan | TKM | 1962 | 53.298000 | NaN |
| 1025 | Turkmenistan | TKM | 1963 | 53.152000 | NaN |
| 1289 | Turkmenistan | TKM | 1964 | 53.007000 | NaN |
| 1553 | Turkmenistan | TKM | 1965 | 52.861000 | NaN |
| 1817 | Turkmenistan | TKM | 1966 | 52.716000 | NaN |
| 2081 | Turkmenistan | TKM | 1967 | 52.570000 | NaN |
| 2345 | Turkmenistan | TKM | 1968 | 52.425000 | NaN |
| 2609 | Turkmenistan | TKM | 1969 | 52.279000 | NaN |
| 2873 | Turkmenistan | TKM | 1970 | 52.220000 | NaN |
| 3137 | Turkmenistan | TKM | 1971 | 52.265000 | NaN |
| 3401 | Turkmenistan | TKM | 1972 | 52.309000 | NaN |
| 3665 | Turkmenistan | TKM | 1973 | 52.354000 | NaN |
| 3929 | Turkmenistan | TKM | 1974 | 52.398000 | NaN |
| 4193 | Turkmenistan | TKM | 1975 | 52.443000 | NaN |
| 4457 | Turkmenistan | TKM | 1976 | 52.487000 | NaN |
| 4721 | Turkmenistan | TKM | 1977 | 52.531000 | NaN |
| 4985 | Turkmenistan | TKM | 1978 | 52.576000 | NaN |
| 5249 | Turkmenistan | TKM | 1979 | 52.701000 | NaN |
| 5513 | Turkmenistan | TKM | 1980 | 52.922000 | NaN |
| 5777 | Turkmenistan | TKM | 1981 | 53.142000 | NaN |
| 6041 | Turkmenistan | TKM | 1982 | 53.363000 | NaN |
| 6305 | Turkmenistan | TKM | 1983 | 53.583000 | NaN |
| 6569 | Turkmenistan | TKM | 1984 | 53.804000 | NaN |
| 6833 | Turkmenistan | TKM | 1985 | 54.024000 | NaN |
| 7097 | Turkmenistan | TKM | 1986 | 54.243000 | NaN |
| 7361 | Turkmenistan | TKM | 1987 | 54.463000 | NaN |
| 7625 | Turkmenistan | TKM | 1988 | 54.683000 | NaN |
| 7889 | Turkmenistan | TKM | 1989 | 54.840000 | NaN |
| 8153 | Turkmenistan | TKM | 1990 | 54.925000 | 98.613144 |
| 8417 | Turkmenistan | TKM | 1991 | 55.010000 | 98.748695 |
| 8681 | Turkmenistan | TKM | 1992 | 55.096000 | 98.882751 |
| 8945 | Turkmenistan | TKM | 1993 | 55.181000 | 99.013245 |
| 9209 | Turkmenistan | TKM | 1994 | 55.266000 | 99.137543 |
| 9473 | Turkmenistan | TKM | 1995 | 55.206000 | 99.252640 |
| 9737 | Turkmenistan | TKM | 1996 | 54.982000 | 99.355499 |
| 10001 | Turkmenistan | TKM | 1997 | 54.759000 | 99.443100 |
| 10265 | Turkmenistan | TKM | 1998 | 54.535000 | 99.512566 |
| 10529 | Turkmenistan | TKM | 1999 | 54.311000 | 99.561737 |
| 10793 | Turkmenistan | TKM | 2000 | 54.087000 | 99.600000 |
| 11057 | Turkmenistan | TKM | 2001 | 53.863000 | 99.600739 |
| 11321 | Turkmenistan | TKM | 2002 | 53.638000 | 99.600739 |
| 11585 | Turkmenistan | TKM | 2003 | 53.413000 | 99.600517 |
| 11849 | Turkmenistan | TKM | 2004 | 53.188000 | 99.599876 |
| 12113 | Turkmenistan | TKM | 2005 | 52.952000 | 99.599876 |
| 12377 | Turkmenistan | TKM | 2006 | 52.704000 | 99.841333 |
| 12641 | Turkmenistan | TKM | 2007 | 52.445000 | 99.636093 |
| 12905 | Turkmenistan | TKM | 2008 | 52.174000 | 99.683266 |
| 13169 | Turkmenistan | TKM | 2009 | 51.891000 | 99.749771 |
| 13433 | Turkmenistan | TKM | 2010 | 51.598000 | 100.000000 |
| 13697 | Turkmenistan | TKM | 2011 | 51.293000 | 99.905869 |
| 13961 | Turkmenistan | TKM | 2012 | 50.977000 | 99.962120 |
| 14225 | Turkmenistan | TKM | 2013 | 50.650000 | 99.990341 |
| 14489 | Turkmenistan | TKM | 2014 | 50.312000 | 99.998848 |
| 14753 | Turkmenistan | TKM | 2015 | 49.963000 | 100.000000 |
| 15017 | Turkmenistan | TKM | 2016 | 49.604000 | 100.000000 |
| 15281 | Turkmenistan | TKM | 2017 | 49.234000 | NaN |
| 226 | Turks and Caicos Islands | TCA | 1960 | 52.321000 | NaN |
| 490 | Turks and Caicos Islands | TCA | 1961 | 51.979000 | NaN |
| 754 | Turks and Caicos Islands | TCA | 1962 | 51.636000 | NaN |
| 1018 | Turks and Caicos Islands | TCA | 1963 | 51.294000 | NaN |
| 1282 | Turks and Caicos Islands | TCA | 1964 | 50.951000 | NaN |
| 1546 | Turks and Caicos Islands | TCA | 1965 | 50.608000 | NaN |
| 1810 | Turks and Caicos Islands | TCA | 1966 | 50.266000 | NaN |
| 2074 | Turks and Caicos Islands | TCA | 1967 | 49.923000 | NaN |
| 2338 | Turks and Caicos Islands | TCA | 1968 | 49.580000 | NaN |
| 2602 | Turks and Caicos Islands | TCA | 1969 | 49.237000 | NaN |
| 2866 | Turks and Caicos Islands | TCA | 1970 | 48.894000 | NaN |
| 3130 | Turks and Caicos Islands | TCA | 1971 | 48.513000 | NaN |
| 3394 | Turks and Caicos Islands | TCA | 1972 | 48.118000 | NaN |
| 3658 | Turks and Caicos Islands | TCA | 1973 | 47.725000 | NaN |
| 3922 | Turks and Caicos Islands | TCA | 1974 | 47.331000 | NaN |
| 4186 | Turks and Caicos Islands | TCA | 1975 | 46.937000 | NaN |
| 4450 | Turks and Caicos Islands | TCA | 1976 | 46.544000 | NaN |
| 4714 | Turks and Caicos Islands | TCA | 1977 | 46.152000 | NaN |
| 4978 | Turks and Caicos Islands | TCA | 1978 | 45.760000 | NaN |
| 5242 | Turks and Caicos Islands | TCA | 1979 | 45.368000 | NaN |
| 5506 | Turks and Caicos Islands | TCA | 1980 | 44.741000 | NaN |
| 5770 | Turks and Caicos Islands | TCA | 1981 | 42.642000 | NaN |
| 6034 | Turks and Caicos Islands | TCA | 1982 | 40.565000 | NaN |
| 6298 | Turks and Caicos Islands | TCA | 1983 | 38.522000 | NaN |
| 6562 | Turks and Caicos Islands | TCA | 1984 | 36.516000 | NaN |
| 6826 | Turks and Caicos Islands | TCA | 1985 | 34.561000 | NaN |
| 7090 | Turks and Caicos Islands | TCA | 1986 | 32.655000 | NaN |
| 7354 | Turks and Caicos Islands | TCA | 1987 | 30.803000 | NaN |
| 7618 | Turks and Caicos Islands | TCA | 1988 | 29.010000 | NaN |
| 7882 | Turks and Caicos Islands | TCA | 1989 | 27.284000 | NaN |
| 8146 | Turks and Caicos Islands | TCA | 1990 | 25.657000 | 88.700000 |
| 8410 | Turks and Caicos Islands | TCA | 1991 | 24.463000 | 90.504044 |
| 8674 | Turks and Caicos Islands | TCA | 1992 | 23.306000 | 90.775314 |
| 8938 | Turks and Caicos Islands | TCA | 1993 | 22.190000 | 91.043518 |
| 9202 | Turks and Caicos Islands | TCA | 1994 | 21.112000 | 91.305611 |
| 9466 | Turks and Caicos Islands | TCA | 1995 | 20.072000 | 91.558525 |
| 9730 | Turks and Caicos Islands | TCA | 1996 | 19.070000 | 91.799202 |
| 9994 | Turks and Caicos Islands | TCA | 1997 | 18.110000 | 92.024582 |
| 10258 | Turks and Caicos Islands | TCA | 1998 | 17.186000 | 92.231606 |
| 10522 | Turks and Caicos Islands | TCA | 1999 | 16.300000 | 92.417221 |
| 10786 | Turks and Caicos Islands | TCA | 2000 | 15.450000 | 95.600000 |
| 11050 | Turks and Caicos Islands | TCA | 2001 | 14.638000 | 92.724129 |
| 11314 | Turks and Caicos Islands | TCA | 2002 | 13.993000 | 92.856033 |
| 11578 | Turks and Caicos Islands | TCA | 2003 | 13.392000 | 92.981659 |
| 11842 | Turks and Caicos Islands | TCA | 2004 | 12.812000 | 93.107056 |
| 12106 | Turks and Caicos Islands | TCA | 2005 | 12.255000 | 93.238297 |
| 12370 | Turks and Caicos Islands | TCA | 2006 | 11.719000 | 93.381447 |
| 12634 | Turks and Caicos Islands | TCA | 2007 | 11.203000 | 93.542557 |
| 12898 | Turks and Caicos Islands | TCA | 2008 | 10.706000 | 93.726196 |
| 13162 | Turks and Caicos Islands | TCA | 2009 | 10.230000 | 93.930855 |
| 13426 | Turks and Caicos Islands | TCA | 2010 | 9.772000 | 94.153542 |
| 13690 | Turks and Caicos Islands | TCA | 2011 | 9.332000 | 94.391251 |
| 13954 | Turks and Caicos Islands | TCA | 2012 | 8.910000 | 93.100000 |
| 14218 | Turks and Caicos Islands | TCA | 2013 | 8.518000 | 94.899704 |
| 14482 | Turks and Caicos Islands | TCA | 2014 | 8.153000 | 95.164452 |
| 14746 | Turks and Caicos Islands | TCA | 2015 | 7.814000 | 95.432198 |
| 15010 | Turks and Caicos Islands | TCA | 2016 | 7.498000 | 95.700439 |
| 15274 | Turks and Caicos Islands | TCA | 2017 | 7.205000 | NaN |
| 243 | Tuvalu | TUV | 1960 | 84.105000 | NaN |
| 507 | Tuvalu | TUV | 1961 | 83.556000 | NaN |
| 771 | Tuvalu | TUV | 1962 | 82.992000 | NaN |
| 1035 | Tuvalu | TUV | 1963 | 82.413000 | NaN |
| 1299 | Tuvalu | TUV | 1964 | 81.817000 | NaN |
| 1563 | Tuvalu | TUV | 1965 | 81.207000 | NaN |
| 1827 | Tuvalu | TUV | 1966 | 80.581000 | NaN |
| 2091 | Tuvalu | TUV | 1967 | 79.939000 | NaN |
| 2355 | Tuvalu | TUV | 1968 | 79.281000 | NaN |
| 2619 | Tuvalu | TUV | 1969 | 78.608000 | NaN |
| 2883 | Tuvalu | TUV | 1970 | 77.919000 | NaN |
| 3147 | Tuvalu | TUV | 1971 | 77.214000 | NaN |
| 3411 | Tuvalu | TUV | 1972 | 76.493000 | NaN |
| 3675 | Tuvalu | TUV | 1973 | 75.758000 | NaN |
| 3939 | Tuvalu | TUV | 1974 | 75.006000 | NaN |
| 4203 | Tuvalu | TUV | 1975 | 74.239000 | NaN |
| 4467 | Tuvalu | TUV | 1976 | 73.455000 | NaN |
| 4731 | Tuvalu | TUV | 1977 | 72.659000 | NaN |
| 4995 | Tuvalu | TUV | 1978 | 71.847000 | NaN |
| 5259 | Tuvalu | TUV | 1979 | 71.020000 | NaN |
| 5523 | Tuvalu | TUV | 1980 | 70.178000 | NaN |
| 5787 | Tuvalu | TUV | 1981 | 69.325000 | NaN |
| 6051 | Tuvalu | TUV | 1982 | 68.456000 | NaN |
| 6315 | Tuvalu | TUV | 1983 | 67.575000 | NaN |
| 6579 | Tuvalu | TUV | 1984 | 66.680000 | NaN |
| 6843 | Tuvalu | TUV | 1985 | 65.749000 | NaN |
| 7107 | Tuvalu | TUV | 1986 | 64.504000 | NaN |
| 7371 | Tuvalu | TUV | 1987 | 63.238000 | NaN |
| 7635 | Tuvalu | TUV | 1988 | 61.953000 | NaN |
| 7899 | Tuvalu | TUV | 1989 | 60.654000 | NaN |
| 8163 | Tuvalu | TUV | 1990 | 59.339000 | 90.701920 |
| 8427 | Tuvalu | TUV | 1991 | 58.009000 | 91.098930 |
| 8691 | Tuvalu | TUV | 1992 | 57.249000 | 91.495430 |
| 8955 | Tuvalu | TUV | 1993 | 56.844000 | 91.888870 |
| 9219 | Tuvalu | TUV | 1994 | 56.437000 | 92.276192 |
| 9483 | Tuvalu | TUV | 1995 | 56.030000 | 92.654343 |
| 9747 | Tuvalu | TUV | 1996 | 55.621000 | 93.020248 |
| 10011 | Tuvalu | TUV | 1997 | 55.213000 | 93.370865 |
| 10275 | Tuvalu | TUV | 1998 | 54.803000 | 93.703125 |
| 10539 | Tuvalu | TUV | 1999 | 54.393000 | 94.013969 |
| 10803 | Tuvalu | TUV | 2000 | 53.982000 | 94.301865 |
| 11067 | Tuvalu | TUV | 2001 | 53.571000 | 94.571350 |
| 11331 | Tuvalu | TUV | 2002 | 53.159000 | 94.629783 |
| 11595 | Tuvalu | TUV | 2003 | 52.344000 | 95.079338 |
| 11859 | Tuvalu | TUV | 2004 | 51.322000 | 95.329971 |
| 12123 | Tuvalu | TUV | 2005 | 50.301000 | 95.586449 |
| 12387 | Tuvalu | TUV | 2006 | 49.279000 | 95.854828 |
| 12651 | Tuvalu | TUV | 2007 | 48.257000 | 96.700000 |
| 12915 | Tuvalu | TUV | 2008 | 47.235000 | 96.450043 |
| 13179 | Tuvalu | TUV | 2009 | 46.218000 | 96.779938 |
| 13443 | Tuvalu | TUV | 2010 | 45.204000 | 97.127861 |
| 13707 | Tuvalu | TUV | 2011 | 44.193000 | 97.490799 |
| 13971 | Tuvalu | TUV | 2012 | 43.185000 | 97.671777 |
| 14235 | Tuvalu | TUV | 2013 | 42.186000 | 98.249725 |
| 14499 | Tuvalu | TUV | 2014 | 41.218000 | 98.639702 |
| 14763 | Tuvalu | TUV | 2015 | 40.283000 | 99.032677 |
| 15027 | Tuvalu | TUV | 2016 | 39.380000 | 99.426155 |
| 15291 | Tuvalu | TUV | 2017 | 38.511000 | NaN |
| 245 | Uganda | UGA | 1960 | 95.583000 | NaN |
| 509 | Uganda | UGA | 1961 | 95.383000 | NaN |
| 773 | Uganda | UGA | 1962 | 95.174000 | NaN |
| 1037 | Uganda | UGA | 1963 | 94.955000 | NaN |
| 1301 | Uganda | UGA | 1964 | 94.727000 | NaN |
| 1565 | Uganda | UGA | 1965 | 94.491000 | NaN |
| 1829 | Uganda | UGA | 1966 | 94.243000 | NaN |
| 2093 | Uganda | UGA | 1967 | 93.986000 | NaN |
| 2357 | Uganda | UGA | 1968 | 93.717000 | NaN |
| 2621 | Uganda | UGA | 1969 | 93.438000 | NaN |
| 2885 | Uganda | UGA | 1970 | 93.336000 | NaN |
| 3149 | Uganda | UGA | 1971 | 93.263000 | NaN |
| 3413 | Uganda | UGA | 1972 | 93.188000 | NaN |
| 3677 | Uganda | UGA | 1973 | 93.113000 | NaN |
| 3941 | Uganda | UGA | 1974 | 93.037000 | NaN |
| 4205 | Uganda | UGA | 1975 | 92.960000 | NaN |
| 4469 | Uganda | UGA | 1976 | 92.882000 | NaN |
| 4733 | Uganda | UGA | 1977 | 92.803000 | NaN |
| 4997 | Uganda | UGA | 1978 | 92.724000 | NaN |
| 5261 | Uganda | UGA | 1979 | 92.644000 | NaN |
| 5525 | Uganda | UGA | 1980 | 92.466000 | NaN |
| 5789 | Uganda | UGA | 1981 | 92.166000 | NaN |
| 6053 | Uganda | UGA | 1982 | 91.853000 | NaN |
| 6317 | Uganda | UGA | 1983 | 91.530000 | NaN |
| 6581 | Uganda | UGA | 1984 | 91.195000 | NaN |
| 6845 | Uganda | UGA | 1985 | 90.848000 | NaN |
| 7109 | Uganda | UGA | 1986 | 90.489000 | NaN |
| 7373 | Uganda | UGA | 1987 | 90.118000 | NaN |
| 7637 | Uganda | UGA | 1988 | 89.733000 | NaN |
| 7901 | Uganda | UGA | 1989 | 89.335000 | NaN |
| 8165 | Uganda | UGA | 1990 | 88.924000 | 1.266457 |
| 8429 | Uganda | UGA | 1991 | 88.662000 | 5.600000 |
| 8693 | Uganda | UGA | 1992 | 88.582000 | 2.767666 |
| 8957 | Uganda | UGA | 1993 | 88.501000 | 3.514956 |
| 9221 | Uganda | UGA | 1994 | 88.419000 | 4.256129 |
| 9485 | Uganda | UGA | 1995 | 88.337000 | 6.800000 |
| 9749 | Uganda | UGA | 1996 | 88.254000 | 5.707882 |
| 10013 | Uganda | UGA | 1997 | 88.171000 | 6.412345 |
| 10277 | Uganda | UGA | 1998 | 88.087000 | 7.098453 |
| 10541 | Uganda | UGA | 1999 | 88.003000 | 7.763148 |
| 10805 | Uganda | UGA | 2000 | 87.918000 | 8.404890 |
| 11069 | Uganda | UGA | 2001 | 87.833000 | 8.600000 |
| 11333 | Uganda | UGA | 2002 | 87.747000 | 7.800000 |
| 11597 | Uganda | UGA | 2003 | 87.517000 | 10.243909 |
| 11861 | Uganda | UGA | 2004 | 87.245000 | 10.848391 |
| 12125 | Uganda | UGA | 2005 | 86.969000 | 8.900000 |
| 12389 | Uganda | UGA | 2006 | 86.687000 | 9.000000 |
| 12653 | Uganda | UGA | 2007 | 86.400000 | 12.721140 |
| 12917 | Uganda | UGA | 2008 | 86.108000 | 13.383857 |
| 13181 | Uganda | UGA | 2009 | 85.811000 | 10.000000 |
| 13445 | Uganda | UGA | 2010 | 85.508000 | 14.769371 |
| 13709 | Uganda | UGA | 2011 | 85.200000 | 14.600000 |
| 13973 | Uganda | UGA | 2012 | 84.885000 | 16.214964 |
| 14237 | Uganda | UGA | 2013 | 84.563000 | 13.900000 |
| 14501 | Uganda | UGA | 2014 | 84.234000 | 20.400000 |
| 14765 | Uganda | UGA | 2015 | 83.899000 | 18.500000 |
| 15029 | Uganda | UGA | 2016 | 83.556000 | 26.700000 |
| 15293 | Uganda | UGA | 2017 | 83.206000 | NaN |
| 246 | Ukraine | UKR | 1960 | 53.208000 | NaN |
| 510 | Ukraine | UKR | 1961 | 52.458000 | NaN |
| 774 | Ukraine | UKR | 1962 | 51.706000 | NaN |
| 1038 | Ukraine | UKR | 1963 | 50.954000 | NaN |
| 1302 | Ukraine | UKR | 1964 | 50.200000 | NaN |
| 1566 | Ukraine | UKR | 1965 | 49.351000 | NaN |
| 1830 | Ukraine | UKR | 1966 | 48.501000 | NaN |
| 2094 | Ukraine | UKR | 1967 | 47.652000 | NaN |
| 2358 | Ukraine | UKR | 1968 | 46.803000 | NaN |
| 2622 | Ukraine | UKR | 1969 | 45.958000 | NaN |
| 2886 | Ukraine | UKR | 1970 | 45.169000 | NaN |
| 3150 | Ukraine | UKR | 1971 | 44.448000 | NaN |
| 3414 | Ukraine | UKR | 1972 | 43.728000 | NaN |
| 3678 | Ukraine | UKR | 1973 | 43.013000 | NaN |
| 3942 | Ukraine | UKR | 1974 | 42.300000 | NaN |
| 4206 | Ukraine | UKR | 1975 | 41.611000 | NaN |
| 4470 | Ukraine | UKR | 1976 | 40.925000 | NaN |
| 4734 | Ukraine | UKR | 1977 | 40.244000 | NaN |
| 4998 | Ukraine | UKR | 1978 | 39.566000 | NaN |
| 5262 | Ukraine | UKR | 1979 | 38.919000 | NaN |
| 5526 | Ukraine | UKR | 1980 | 38.307000 | NaN |
| 5790 | Ukraine | UKR | 1981 | 37.700000 | NaN |
| 6054 | Ukraine | UKR | 1982 | 37.096000 | NaN |
| 6318 | Ukraine | UKR | 1983 | 36.496000 | NaN |
| 6582 | Ukraine | UKR | 1984 | 35.900000 | NaN |
| 6846 | Ukraine | UKR | 1985 | 35.319000 | NaN |
| 7110 | Ukraine | UKR | 1986 | 34.742000 | NaN |
| 7374 | Ukraine | UKR | 1987 | 34.170000 | NaN |
| 7638 | Ukraine | UKR | 1988 | 33.601000 | NaN |
| 7902 | Ukraine | UKR | 1989 | 33.282000 | NaN |
| 8166 | Ukraine | UKR | 1990 | 33.243000 | 98.003189 |
| 8430 | Ukraine | UKR | 1991 | 33.204000 | 98.178314 |
| 8694 | Ukraine | UKR | 1992 | 33.165000 | 98.351944 |
| 8958 | Ukraine | UKR | 1993 | 33.126000 | 98.522018 |
| 9222 | Ukraine | UKR | 1994 | 33.088000 | 98.685867 |
| 9486 | Ukraine | UKR | 1995 | 33.049000 | 98.840546 |
| 9750 | Ukraine | UKR | 1996 | 33.010000 | 98.982971 |
| 10014 | Ukraine | UKR | 1997 | 32.971000 | 99.110138 |
| 10278 | Ukraine | UKR | 1998 | 32.933000 | 99.219231 |
| 10542 | Ukraine | UKR | 1999 | 32.894000 | 99.308411 |
| 10806 | Ukraine | UKR | 2000 | 32.855000 | 99.377869 |
| 11070 | Ukraine | UKR | 2001 | 32.817000 | 99.430405 |
| 11334 | Ukraine | UKR | 2002 | 32.717000 | 99.470886 |
| 11598 | Ukraine | UKR | 2003 | 32.573000 | 99.505112 |
| 11862 | Ukraine | UKR | 2004 | 32.403000 | 99.539108 |
| 12126 | Ukraine | UKR | 2005 | 32.210000 | 99.885562 |
| 12390 | Ukraine | UKR | 2006 | 32.031000 | 99.630371 |
| 12654 | Ukraine | UKR | 2007 | 31.853000 | 99.800000 |
| 12918 | Ukraine | UKR | 2008 | 31.675000 | 99.782707 |
| 13182 | Ukraine | UKR | 2009 | 31.498000 | 99.872482 |
| 13446 | Ukraine | UKR | 2010 | 31.314000 | 99.945076 |
| 13710 | Ukraine | UKR | 2011 | 31.124000 | 99.985046 |
| 13974 | Ukraine | UKR | 2012 | 30.928000 | 99.867491 |
| 14238 | Ukraine | UKR | 2013 | 30.726000 | 100.000000 |
| 14502 | Ukraine | UKR | 2014 | 30.518000 | 100.000000 |
| 14766 | Ukraine | UKR | 2015 | 30.305000 | 100.000000 |
| 15030 | Ukraine | UKR | 2016 | 30.085000 | 100.000000 |
| 15294 | Ukraine | UKR | 2017 | 29.860000 | NaN |
| 6 | United Arab Emirates | ARE | 1960 | 26.500000 | NaN |
| 270 | United Arab Emirates | ARE | 1961 | 25.617000 | NaN |
| 534 | United Arab Emirates | ARE | 1962 | 24.752000 | NaN |
| 798 | United Arab Emirates | ARE | 1963 | 23.907000 | NaN |
| 1062 | United Arab Emirates | ARE | 1964 | 23.081000 | NaN |
| 1326 | United Arab Emirates | ARE | 1965 | 22.277000 | NaN |
| 1590 | United Arab Emirates | ARE | 1966 | 21.492000 | NaN |
| 1854 | United Arab Emirates | ARE | 1967 | 20.728000 | NaN |
| 2118 | United Arab Emirates | ARE | 1968 | 20.200000 | NaN |
| 2382 | United Arab Emirates | ARE | 1969 | 20.200000 | NaN |
| 2646 | United Arab Emirates | ARE | 1970 | 20.200000 | NaN |
| 2910 | United Arab Emirates | ARE | 1971 | 20.200000 | NaN |
| 3174 | United Arab Emirates | ARE | 1972 | 20.200000 | NaN |
| 3438 | United Arab Emirates | ARE | 1973 | 20.200000 | NaN |
| 3702 | United Arab Emirates | ARE | 1974 | 20.200000 | NaN |
| 3966 | United Arab Emirates | ARE | 1975 | 20.200000 | NaN |
| 4230 | United Arab Emirates | ARE | 1976 | 20.097000 | NaN |
| 4494 | United Arab Emirates | ARE | 1977 | 19.894000 | NaN |
| 4758 | United Arab Emirates | ARE | 1978 | 19.691000 | NaN |
| 5022 | United Arab Emirates | ARE | 1979 | 19.490000 | NaN |
| 5286 | United Arab Emirates | ARE | 1980 | 19.290000 | NaN |
| 5550 | United Arab Emirates | ARE | 1981 | 19.317000 | NaN |
| 5814 | United Arab Emirates | ARE | 1982 | 19.534000 | NaN |
| 6078 | United Arab Emirates | ARE | 1983 | 19.753000 | NaN |
| 6342 | United Arab Emirates | ARE | 1984 | 19.974000 | NaN |
| 6606 | United Arab Emirates | ARE | 1985 | 20.196000 | NaN |
| 6870 | United Arab Emirates | ARE | 1986 | 20.376000 | NaN |
| 7134 | United Arab Emirates | ARE | 1987 | 20.518000 | NaN |
| 7398 | United Arab Emirates | ARE | 1988 | 20.661000 | NaN |
| 7662 | United Arab Emirates | ARE | 1989 | 20.804000 | NaN |
| 7926 | United Arab Emirates | ARE | 1990 | 20.949000 | 100.000000 |
| 8190 | United Arab Emirates | ARE | 1991 | 21.094000 | 100.000000 |
| 8454 | United Arab Emirates | ARE | 1992 | 21.240000 | 100.000000 |
| 8718 | United Arab Emirates | ARE | 1993 | 21.386000 | 100.000000 |
| 8982 | United Arab Emirates | ARE | 1994 | 21.533000 | 100.000000 |
| 9246 | United Arab Emirates | ARE | 1995 | 21.681000 | 100.000000 |
| 9510 | United Arab Emirates | ARE | 1996 | 21.507000 | 100.000000 |
| 9774 | United Arab Emirates | ARE | 1997 | 21.062000 | 100.000000 |
| 10038 | United Arab Emirates | ARE | 1998 | 20.622000 | 100.000000 |
| 10302 | United Arab Emirates | ARE | 1999 | 20.190000 | 100.000000 |
| 10566 | United Arab Emirates | ARE | 2000 | 19.764000 | 100.000000 |
| 10830 | United Arab Emirates | ARE | 2001 | 19.345000 | 100.000000 |
| 11094 | United Arab Emirates | ARE | 2002 | 18.933000 | 100.000000 |
| 11358 | United Arab Emirates | ARE | 2003 | 18.528000 | 100.000000 |
| 11622 | United Arab Emirates | ARE | 2004 | 18.129000 | 100.000000 |
| 11886 | United Arab Emirates | ARE | 2005 | 17.738000 | 100.000000 |
| 12150 | United Arab Emirates | ARE | 2006 | 17.352000 | 100.000000 |
| 12414 | United Arab Emirates | ARE | 2007 | 16.981000 | 100.000000 |
| 12678 | United Arab Emirates | ARE | 2008 | 16.623000 | 100.000000 |
| 12942 | United Arab Emirates | ARE | 2009 | 16.277000 | 100.000000 |
| 13206 | United Arab Emirates | ARE | 2010 | 15.945000 | 100.000000 |
| 13470 | United Arab Emirates | ARE | 2011 | 15.625000 | 100.000000 |
| 13734 | United Arab Emirates | ARE | 2012 | 15.316000 | 100.000000 |
| 13998 | United Arab Emirates | ARE | 2013 | 15.019000 | 100.000000 |
| 14262 | United Arab Emirates | ARE | 2014 | 14.734000 | 100.000000 |
| 14526 | United Arab Emirates | ARE | 2015 | 14.459000 | 100.000000 |
| 14790 | United Arab Emirates | ARE | 2016 | 14.196000 | 100.000000 |
| 15054 | United Arab Emirates | ARE | 2017 | 13.942000 | NaN |
| 79 | United Kingdom | GBR | 1960 | 21.556000 | NaN |
| 343 | United Kingdom | GBR | 1961 | 21.626000 | NaN |
| 607 | United Kingdom | GBR | 1962 | 21.763000 | NaN |
| 871 | United Kingdom | GBR | 1963 | 21.901000 | NaN |
| 1135 | United Kingdom | GBR | 1964 | 22.040000 | NaN |
| 1399 | United Kingdom | GBR | 1965 | 22.179000 | NaN |
| 1663 | United Kingdom | GBR | 1966 | 22.318000 | NaN |
| 1927 | United Kingdom | GBR | 1967 | 22.459000 | NaN |
| 2191 | United Kingdom | GBR | 1968 | 22.600000 | NaN |
| 2455 | United Kingdom | GBR | 1969 | 22.741000 | NaN |
| 2719 | United Kingdom | GBR | 1970 | 22.883000 | NaN |
| 2983 | United Kingdom | GBR | 1971 | 22.970000 | NaN |
| 3247 | United Kingdom | GBR | 1972 | 22.805000 | NaN |
| 3511 | United Kingdom | GBR | 1973 | 22.642000 | NaN |
| 3775 | United Kingdom | GBR | 1974 | 22.479000 | NaN |
| 4039 | United Kingdom | GBR | 1975 | 22.317000 | NaN |
| 4303 | United Kingdom | GBR | 1976 | 22.156000 | NaN |
| 4567 | United Kingdom | GBR | 1977 | 21.995000 | NaN |
| 4831 | United Kingdom | GBR | 1978 | 21.836000 | NaN |
| 5095 | United Kingdom | GBR | 1979 | 21.677000 | NaN |
| 5359 | United Kingdom | GBR | 1980 | 21.519000 | NaN |
| 5623 | United Kingdom | GBR | 1981 | 21.412000 | NaN |
| 5887 | United Kingdom | GBR | 1982 | 21.461000 | NaN |
| 6151 | United Kingdom | GBR | 1983 | 21.511000 | NaN |
| 6415 | United Kingdom | GBR | 1984 | 21.560000 | NaN |
| 6679 | United Kingdom | GBR | 1985 | 21.610000 | NaN |
| 6943 | United Kingdom | GBR | 1986 | 21.660000 | NaN |
| 7207 | United Kingdom | GBR | 1987 | 21.710000 | NaN |
| 7471 | United Kingdom | GBR | 1988 | 21.760000 | NaN |
| 7735 | United Kingdom | GBR | 1989 | 21.810000 | NaN |
| 7999 | United Kingdom | GBR | 1990 | 21.860000 | 100.000000 |
| 8263 | United Kingdom | GBR | 1991 | 21.888000 | 100.000000 |
| 8527 | United Kingdom | GBR | 1992 | 21.828000 | 100.000000 |
| 8791 | United Kingdom | GBR | 1993 | 21.768000 | 100.000000 |
| 9055 | United Kingdom | GBR | 1994 | 21.707000 | 100.000000 |
| 9319 | United Kingdom | GBR | 1995 | 21.647000 | 100.000000 |
| 9583 | United Kingdom | GBR | 1996 | 21.587000 | 100.000000 |
| 9847 | United Kingdom | GBR | 1997 | 21.528000 | 100.000000 |
| 10111 | United Kingdom | GBR | 1998 | 21.468000 | 100.000000 |
| 10375 | United Kingdom | GBR | 1999 | 21.409000 | 100.000000 |
| 10639 | United Kingdom | GBR | 2000 | 21.349000 | 100.000000 |
| 10903 | United Kingdom | GBR | 2001 | 21.249000 | 100.000000 |
| 11167 | United Kingdom | GBR | 2002 | 20.953000 | 100.000000 |
| 11431 | United Kingdom | GBR | 2003 | 20.661000 | 100.000000 |
| 11695 | United Kingdom | GBR | 2004 | 20.371000 | 100.000000 |
| 11959 | United Kingdom | GBR | 2005 | 20.085000 | 100.000000 |
| 12223 | United Kingdom | GBR | 2006 | 19.801000 | 100.000000 |
| 12487 | United Kingdom | GBR | 2007 | 19.521000 | 100.000000 |
| 12751 | United Kingdom | GBR | 2008 | 19.243000 | 100.000000 |
| 13015 | United Kingdom | GBR | 2009 | 18.969000 | 100.000000 |
| 13279 | United Kingdom | GBR | 2010 | 18.698000 | 100.000000 |
| 13543 | United Kingdom | GBR | 2011 | 18.430000 | 100.000000 |
| 13807 | United Kingdom | GBR | 2012 | 18.166000 | 100.000000 |
| 14071 | United Kingdom | GBR | 2013 | 17.908000 | 100.000000 |
| 14335 | United Kingdom | GBR | 2014 | 17.655000 | 100.000000 |
| 14599 | United Kingdom | GBR | 2015 | 17.408000 | 100.000000 |
| 14863 | United Kingdom | GBR | 2016 | 17.165000 | 100.000000 |
| 15127 | United Kingdom | GBR | 2017 | 16.927000 | NaN |
| 249 | United States | USA | 1960 | 30.004000 | NaN |
| 513 | United States | USA | 1961 | 29.623000 | NaN |
| 777 | United States | USA | 1962 | 29.243000 | NaN |
| 1041 | United States | USA | 1963 | 28.866000 | NaN |
| 1305 | United States | USA | 1964 | 28.492000 | NaN |
| 1569 | United States | USA | 1965 | 28.121000 | NaN |
| 1833 | United States | USA | 1966 | 27.753000 | NaN |
| 2097 | United States | USA | 1967 | 27.388000 | NaN |
| 2361 | United States | USA | 1968 | 27.026000 | NaN |
| 2625 | United States | USA | 1969 | 26.667000 | NaN |
| 2889 | United States | USA | 1970 | 26.398000 | NaN |
| 3153 | United States | USA | 1971 | 26.387000 | NaN |
| 3417 | United States | USA | 1972 | 26.377000 | NaN |
| 3681 | United States | USA | 1973 | 26.367000 | NaN |
| 3945 | United States | USA | 1974 | 26.357000 | NaN |
| 4209 | United States | USA | 1975 | 26.347000 | NaN |
| 4473 | United States | USA | 1976 | 26.337000 | NaN |
| 4737 | United States | USA | 1977 | 26.327000 | NaN |
| 5001 | United States | USA | 1978 | 26.318000 | NaN |
| 5265 | United States | USA | 1979 | 26.308000 | NaN |
| 5529 | United States | USA | 1980 | 26.262000 | NaN |
| 5793 | United States | USA | 1981 | 26.110000 | NaN |
| 6057 | United States | USA | 1982 | 25.958000 | NaN |
| 6321 | United States | USA | 1983 | 25.806000 | NaN |
| 6585 | United States | USA | 1984 | 25.656000 | NaN |
| 6849 | United States | USA | 1985 | 25.506000 | NaN |
| 7113 | United States | USA | 1986 | 25.356000 | NaN |
| 7377 | United States | USA | 1987 | 25.207000 | NaN |
| 7641 | United States | USA | 1988 | 25.058000 | NaN |
| 7905 | United States | USA | 1989 | 24.911000 | NaN |
| 8169 | United States | USA | 1990 | 24.700000 | 100.000000 |
| 8433 | United States | USA | 1991 | 24.299000 | 100.000000 |
| 8697 | United States | USA | 1992 | 23.903000 | 100.000000 |
| 8961 | United States | USA | 1993 | 23.512000 | 100.000000 |
| 9225 | United States | USA | 1994 | 23.125000 | 100.000000 |
| 9489 | United States | USA | 1995 | 22.743000 | 100.000000 |
| 9753 | United States | USA | 1996 | 22.364000 | 100.000000 |
| 10017 | United States | USA | 1997 | 21.992000 | 100.000000 |
| 10281 | United States | USA | 1998 | 21.623000 | 100.000000 |
| 10545 | United States | USA | 1999 | 21.258000 | 100.000000 |
| 10809 | United States | USA | 2000 | 20.943000 | 100.000000 |
| 11073 | United States | USA | 2001 | 20.766000 | 100.000000 |
| 11337 | United States | USA | 2002 | 20.591000 | 100.000000 |
| 11601 | United States | USA | 2003 | 20.417000 | 100.000000 |
| 11865 | United States | USA | 2004 | 20.243000 | 100.000000 |
| 12129 | United States | USA | 2005 | 20.072000 | 100.000000 |
| 12393 | United States | USA | 2006 | 19.901000 | 100.000000 |
| 12657 | United States | USA | 2007 | 19.731000 | 100.000000 |
| 12921 | United States | USA | 2008 | 19.562000 | 100.000000 |
| 13185 | United States | USA | 2009 | 19.394000 | 100.000000 |
| 13449 | United States | USA | 2010 | 19.228000 | 100.000000 |
| 13713 | United States | USA | 2011 | 19.060000 | 100.000000 |
| 13977 | United States | USA | 2012 | 18.892000 | 100.000000 |
| 14241 | United States | USA | 2013 | 18.723000 | 100.000000 |
| 14505 | United States | USA | 2014 | 18.553000 | 100.000000 |
| 14769 | United States | USA | 2015 | 18.383000 | 100.000000 |
| 15033 | United States | USA | 2016 | 18.212000 | 100.000000 |
| 15297 | United States | USA | 2017 | 18.040000 | NaN |
| 247 | Upper middle income | UMC | 1960 | 72.481711 | NaN |
| 511 | Upper middle income | UMC | 1961 | 71.644487 | NaN |
| 775 | Upper middle income | UMC | 1962 | 70.914989 | NaN |
| 1039 | Upper middle income | UMC | 1963 | 70.286835 | NaN |
| 1303 | Upper middle income | UMC | 1964 | 69.643234 | NaN |
| 1567 | Upper middle income | UMC | 1965 | 69.441784 | NaN |
| 1831 | Upper middle income | UMC | 1966 | 69.267069 | NaN |
| 2095 | Upper middle income | UMC | 1967 | 69.067218 | NaN |
| 2359 | Upper middle income | UMC | 1968 | 68.871955 | NaN |
| 2623 | Upper middle income | UMC | 1969 | 68.691551 | NaN |
| 2887 | Upper middle income | UMC | 1970 | 68.515471 | NaN |
| 3151 | Upper middle income | UMC | 1971 | 68.325565 | NaN |
| 3415 | Upper middle income | UMC | 1972 | 68.120139 | NaN |
| 3679 | Upper middle income | UMC | 1973 | 67.845812 | NaN |
| 3943 | Upper middle income | UMC | 1974 | 67.496191 | NaN |
| 4207 | Upper middle income | UMC | 1975 | 67.125187 | NaN |
| 4471 | Upper middle income | UMC | 1976 | 66.764915 | NaN |
| 4735 | Upper middle income | UMC | 1977 | 66.391054 | NaN |
| 4999 | Upper middle income | UMC | 1978 | 65.828967 | NaN |
| 5263 | Upper middle income | UMC | 1979 | 65.086406 | NaN |
| 5527 | Upper middle income | UMC | 1980 | 64.337942 | NaN |
| 5791 | Upper middle income | UMC | 1981 | 63.574873 | NaN |
| 6055 | Upper middle income | UMC | 1982 | 62.814517 | NaN |
| 6319 | Upper middle income | UMC | 1983 | 62.136800 | NaN |
| 6583 | Upper middle income | UMC | 1984 | 61.436556 | NaN |
| 6847 | Upper middle income | UMC | 1985 | 60.740146 | NaN |
| 7111 | Upper middle income | UMC | 1986 | 60.059162 | NaN |
| 7375 | Upper middle income | UMC | 1987 | 59.394620 | NaN |
| 7639 | Upper middle income | UMC | 1988 | 58.735102 | NaN |
| 7903 | Upper middle income | UMC | 1989 | 58.089698 | NaN |
| 8167 | Upper middle income | UMC | 1990 | 57.462516 | 91.153105 |
| 8431 | Upper middle income | UMC | 1991 | 56.781407 | 91.713916 |
| 8695 | Upper middle income | UMC | 1992 | 56.088028 | 92.024586 |
| 8959 | Upper middle income | UMC | 1993 | 55.387786 | 92.485744 |
| 9223 | Upper middle income | UMC | 1994 | 54.679588 | 92.957050 |
| 9487 | Upper middle income | UMC | 1995 | 53.960770 | 93.291130 |
| 9751 | Upper middle income | UMC | 1996 | 53.238256 | 93.605173 |
| 10015 | Upper middle income | UMC | 1997 | 52.509347 | 94.172961 |
| 10279 | Upper middle income | UMC | 1998 | 51.767612 | 94.483387 |
| 10543 | Upper middle income | UMC | 1999 | 51.014716 | 94.950978 |
| 10807 | Upper middle income | UMC | 2000 | 50.244517 | 95.136992 |
| 11071 | Upper middle income | UMC | 2001 | 49.362406 | 95.544427 |
| 11335 | Upper middle income | UMC | 2002 | 48.416348 | 96.045042 |
| 11599 | Upper middle income | UMC | 2003 | 47.454292 | 96.302050 |
| 11863 | Upper middle income | UMC | 2004 | 46.481740 | 96.607374 |
| 12127 | Upper middle income | UMC | 2005 | 45.506207 | 96.932487 |
| 12391 | Upper middle income | UMC | 2006 | 44.548508 | 97.420033 |
| 12655 | Upper middle income | UMC | 2007 | 43.599373 | 97.570765 |
| 12919 | Upper middle income | UMC | 2008 | 42.647381 | 97.951365 |
| 13183 | Upper middle income | UMC | 2009 | 41.697005 | 98.322811 |
| 13447 | Upper middle income | UMC | 2010 | 40.744599 | 98.775502 |
| 13711 | Upper middle income | UMC | 2011 | 39.794392 | 98.866005 |
| 13975 | Upper middle income | UMC | 2012 | 38.865384 | 99.059438 |
| 14239 | Upper middle income | UMC | 2013 | 37.962575 | 99.214211 |
| 14503 | Upper middle income | UMC | 2014 | 37.087638 | 99.235891 |
| 14767 | Upper middle income | UMC | 2015 | 36.241297 | 99.268934 |
| 15031 | Upper middle income | UMC | 2016 | 35.426017 | 99.379714 |
| 15295 | Upper middle income | UMC | 2017 | 34.639825 | NaN |
| 248 | Uruguay | URY | 1960 | 19.759000 | NaN |
| 512 | Uruguay | URY | 1961 | 19.538000 | NaN |
| 776 | Uruguay | URY | 1962 | 19.319000 | NaN |
| 1040 | Uruguay | URY | 1963 | 19.101000 | NaN |
| 1304 | Uruguay | URY | 1964 | 18.886000 | NaN |
| 1568 | Uruguay | URY | 1965 | 18.672000 | NaN |
| 1832 | Uruguay | URY | 1966 | 18.461000 | NaN |
| 2096 | Uruguay | URY | 1967 | 18.251000 | NaN |
| 2360 | Uruguay | URY | 1968 | 18.042000 | NaN |
| 2624 | Uruguay | URY | 1969 | 17.836000 | NaN |
| 2888 | Uruguay | URY | 1970 | 17.632000 | NaN |
| 3152 | Uruguay | URY | 1971 | 17.430000 | NaN |
| 3416 | Uruguay | URY | 1972 | 17.229000 | NaN |
| 3680 | Uruguay | URY | 1973 | 17.030000 | NaN |
| 3944 | Uruguay | URY | 1974 | 16.833000 | NaN |
| 4208 | Uruguay | URY | 1975 | 16.613000 | NaN |
| 4472 | Uruguay | URY | 1976 | 16.194000 | NaN |
| 4736 | Uruguay | URY | 1977 | 15.785000 | NaN |
| 5000 | Uruguay | URY | 1978 | 15.384000 | NaN |
| 5264 | Uruguay | URY | 1979 | 14.991000 | NaN |
| 5528 | Uruguay | URY | 1980 | 14.606000 | NaN |
| 5792 | Uruguay | URY | 1981 | 14.231000 | NaN |
| 6056 | Uruguay | URY | 1982 | 13.862000 | NaN |
| 6320 | Uruguay | URY | 1983 | 13.502000 | NaN |
| 6584 | Uruguay | URY | 1984 | 13.150000 | NaN |
| 6848 | Uruguay | URY | 1985 | 12.806000 | NaN |
| 7112 | Uruguay | URY | 1986 | 12.442000 | NaN |
| 7376 | Uruguay | URY | 1987 | 12.074000 | NaN |
| 7640 | Uruguay | URY | 1988 | 11.715000 | NaN |
| 7904 | Uruguay | URY | 1989 | 11.367000 | NaN |
| 8168 | Uruguay | URY | 1990 | 11.027000 | 96.290276 |
| 8432 | Uruguay | URY | 1991 | 10.696000 | 96.500381 |
| 8696 | Uruguay | URY | 1992 | 10.373000 | 96.709984 |
| 8960 | Uruguay | URY | 1993 | 10.060000 | 96.916527 |
| 9224 | Uruguay | URY | 1994 | 9.755000 | 97.116951 |
| 9488 | Uruguay | URY | 1995 | 9.458000 | 97.308197 |
| 9752 | Uruguay | URY | 1996 | 9.165000 | 97.487206 |
| 10016 | Uruguay | URY | 1997 | 8.853000 | 97.650925 |
| 10280 | Uruguay | URY | 1998 | 8.550000 | 97.796280 |
| 10544 | Uruguay | URY | 1999 | 8.257000 | 97.920227 |
| 10808 | Uruguay | URY | 2000 | 7.972000 | 98.007751 |
| 11072 | Uruguay | URY | 2001 | 7.697000 | 98.094566 |
| 11336 | Uruguay | URY | 2002 | 7.431000 | 98.169327 |
| 11600 | Uruguay | URY | 2003 | 7.172000 | 98.237831 |
| 11864 | Uruguay | URY | 2004 | 6.922000 | 98.306114 |
| 12128 | Uruguay | URY | 2005 | 6.681000 | 98.380219 |
| 12392 | Uruguay | URY | 2006 | 6.447000 | 98.505426 |
| 12656 | Uruguay | URY | 2007 | 6.221000 | 98.692636 |
| 12920 | Uruguay | URY | 2008 | 6.002000 | 98.784355 |
| 13184 | Uruguay | URY | 2009 | 5.791000 | 98.830696 |
| 13448 | Uruguay | URY | 2010 | 5.586000 | 98.989487 |
| 13712 | Uruguay | URY | 2011 | 5.388000 | 99.170000 |
| 13976 | Uruguay | URY | 2012 | 5.197000 | 99.349075 |
| 14240 | Uruguay | URY | 2013 | 5.017000 | 99.611808 |
| 14504 | Uruguay | URY | 2014 | 4.848000 | 99.657085 |
| 14768 | Uruguay | URY | 2015 | 4.689000 | 99.709480 |
| 15032 | Uruguay | URY | 2016 | 4.540000 | 100.000000 |
| 15296 | Uruguay | URY | 2017 | 4.399000 | NaN |
| 250 | Uzbekistan | UZB | 1960 | 66.022000 | NaN |
| 514 | Uzbekistan | UZB | 1961 | 65.762000 | NaN |
| 778 | Uzbekistan | UZB | 1962 | 65.500000 | NaN |
| 1042 | Uzbekistan | UZB | 1963 | 65.238000 | NaN |
| 1306 | Uzbekistan | UZB | 1964 | 64.975000 | NaN |
| 1570 | Uzbekistan | UZB | 1965 | 64.711000 | NaN |
| 1834 | Uzbekistan | UZB | 1966 | 64.446000 | NaN |
| 2098 | Uzbekistan | UZB | 1967 | 64.180000 | NaN |
| 2362 | Uzbekistan | UZB | 1968 | 63.913000 | NaN |
| 2626 | Uzbekistan | UZB | 1969 | 63.646000 | NaN |
| 2890 | Uzbekistan | UZB | 1970 | 63.286000 | NaN |
| 3154 | Uzbekistan | UZB | 1971 | 62.816000 | NaN |
| 3418 | Uzbekistan | UZB | 1972 | 62.343000 | NaN |
| 3682 | Uzbekistan | UZB | 1973 | 61.869000 | NaN |
| 3946 | Uzbekistan | UZB | 1974 | 61.392000 | NaN |
| 4210 | Uzbekistan | UZB | 1975 | 60.913000 | NaN |
| 4474 | Uzbekistan | UZB | 1976 | 60.432000 | NaN |
| 4738 | Uzbekistan | UZB | 1977 | 59.949000 | NaN |
| 5002 | Uzbekistan | UZB | 1978 | 59.464000 | NaN |
| 5266 | Uzbekistan | UZB | 1979 | 59.206000 | NaN |
| 5530 | Uzbekistan | UZB | 1980 | 59.218000 | NaN |
| 5794 | Uzbekistan | UZB | 1981 | 59.230000 | NaN |
| 6058 | Uzbekistan | UZB | 1982 | 59.242000 | NaN |
| 6322 | Uzbekistan | UZB | 1983 | 59.254000 | NaN |
| 6586 | Uzbekistan | UZB | 1984 | 59.266000 | NaN |
| 6850 | Uzbekistan | UZB | 1985 | 59.278000 | NaN |
| 7114 | Uzbekistan | UZB | 1986 | 59.290000 | NaN |
| 7378 | Uzbekistan | UZB | 1987 | 59.303000 | NaN |
| 7642 | Uzbekistan | UZB | 1988 | 59.315000 | NaN |
| 7906 | Uzbekistan | UZB | 1989 | 59.482000 | NaN |
| 8170 | Uzbekistan | UZB | 1990 | 59.828000 | 98.413620 |
| 8434 | Uzbekistan | UZB | 1991 | 60.172000 | 98.573212 |
| 8698 | Uzbekistan | UZB | 1992 | 60.516000 | 98.731308 |
| 8962 | Uzbekistan | UZB | 1993 | 60.859000 | 98.885849 |
| 9226 | Uzbekistan | UZB | 1994 | 61.200000 | 99.034180 |
| 9490 | Uzbekistan | UZB | 1995 | 61.560000 | 99.173325 |
| 9754 | Uzbekistan | UZB | 1996 | 61.920000 | 99.600000 |
| 10018 | Uzbekistan | UZB | 1997 | 62.167000 | 99.411865 |
| 10282 | Uzbekistan | UZB | 1998 | 62.302000 | 99.505432 |
| 10546 | Uzbekistan | UZB | 1999 | 62.436000 | 99.579086 |
| 10810 | Uzbekistan | UZB | 2000 | 62.571000 | 99.633018 |
| 11074 | Uzbekistan | UZB | 2001 | 62.722000 | 99.670036 |
| 11338 | Uzbekistan | UZB | 2002 | 62.873000 | 99.700000 |
| 11602 | Uzbekistan | UZB | 2003 | 63.024000 | 99.713684 |
| 11866 | Uzbekistan | UZB | 2004 | 63.174000 | 99.732155 |
| 12130 | Uzbekistan | UZB | 2005 | 63.324000 | 99.756447 |
| 12394 | Uzbekistan | UZB | 2006 | 63.474000 | 99.490096 |
| 12658 | Uzbekistan | UZB | 2007 | 63.598000 | 99.843109 |
| 12922 | Uzbekistan | UZB | 2008 | 63.695000 | 99.902954 |
| 13186 | Uzbekistan | UZB | 2009 | 63.765000 | 99.955498 |
| 13450 | Uzbekistan | UZB | 2010 | 63.809000 | 99.986694 |
| 13714 | Uzbekistan | UZB | 2011 | 63.827000 | 99.997910 |
| 13978 | Uzbekistan | UZB | 2012 | 63.818000 | 99.999908 |
| 14242 | Uzbekistan | UZB | 2013 | 63.783000 | 100.000000 |
| 14506 | Uzbekistan | UZB | 2014 | 63.722000 | 100.000000 |
| 14770 | Uzbekistan | UZB | 2015 | 63.635000 | 100.000000 |
| 15034 | Uzbekistan | UZB | 2016 | 63.521000 | 100.000000 |
| 15298 | Uzbekistan | UZB | 2017 | 63.380000 | NaN |
| 256 | Vanuatu | VUT | 1960 | 89.596000 | NaN |
| 520 | Vanuatu | VUT | 1961 | 89.417000 | NaN |
| 784 | Vanuatu | VUT | 1962 | 89.235000 | NaN |
| 1048 | Vanuatu | VUT | 1963 | 89.050000 | NaN |
| 1312 | Vanuatu | VUT | 1964 | 88.862000 | NaN |
| 1576 | Vanuatu | VUT | 1965 | 88.671000 | NaN |
| 1840 | Vanuatu | VUT | 1966 | 88.478000 | NaN |
| 2104 | Vanuatu | VUT | 1967 | 88.282000 | NaN |
| 2368 | Vanuatu | VUT | 1968 | 88.082000 | NaN |
| 2632 | Vanuatu | VUT | 1969 | 87.880000 | NaN |
| 2896 | Vanuatu | VUT | 1970 | 87.675000 | NaN |
| 3160 | Vanuatu | VUT | 1971 | 87.467000 | NaN |
| 3424 | Vanuatu | VUT | 1972 | 87.256000 | NaN |
| 3688 | Vanuatu | VUT | 1973 | 87.042000 | NaN |
| 3952 | Vanuatu | VUT | 1974 | 86.825000 | NaN |
| 4216 | Vanuatu | VUT | 1975 | 86.605000 | NaN |
| 4480 | Vanuatu | VUT | 1976 | 86.381000 | NaN |
| 4744 | Vanuatu | VUT | 1977 | 86.155000 | NaN |
| 5008 | Vanuatu | VUT | 1978 | 85.926000 | NaN |
| 5272 | Vanuatu | VUT | 1979 | 85.632000 | NaN |
| 5536 | Vanuatu | VUT | 1980 | 85.260000 | NaN |
| 5800 | Vanuatu | VUT | 1981 | 84.880000 | NaN |
| 6064 | Vanuatu | VUT | 1982 | 84.492000 | NaN |
| 6328 | Vanuatu | VUT | 1983 | 84.095000 | NaN |
| 6592 | Vanuatu | VUT | 1984 | 83.690000 | NaN |
| 6856 | Vanuatu | VUT | 1985 | 83.278000 | NaN |
| 7120 | Vanuatu | VUT | 1986 | 82.857000 | NaN |
| 7384 | Vanuatu | VUT | 1987 | 82.427000 | NaN |
| 7648 | Vanuatu | VUT | 1988 | 81.989000 | NaN |
| 7912 | Vanuatu | VUT | 1989 | 81.565000 | NaN |
| 8176 | Vanuatu | VUT | 1990 | 81.285000 | 7.006693 |
| 8440 | Vanuatu | VUT | 1991 | 81.002000 | 8.576991 |
| 8704 | Vanuatu | VUT | 1992 | 80.715000 | 10.146778 |
| 8968 | Vanuatu | VUT | 1993 | 80.426000 | 11.713506 |
| 9232 | Vanuatu | VUT | 1994 | 80.132000 | 18.000000 |
| 9496 | Vanuatu | VUT | 1995 | 79.836000 | 14.825549 |
| 9760 | Vanuatu | VUT | 1996 | 79.536000 | 16.364746 |
| 10024 | Vanuatu | VUT | 1997 | 79.234000 | 17.888645 |
| 10288 | Vanuatu | VUT | 1998 | 78.927000 | 19.394192 |
| 10552 | Vanuatu | VUT | 1999 | 78.618000 | 19.100000 |
| 10816 | Vanuatu | VUT | 2000 | 78.327000 | 22.339504 |
| 11080 | Vanuatu | VUT | 2001 | 78.047000 | 23.782274 |
| 11344 | Vanuatu | VUT | 2002 | 77.765000 | 25.212698 |
| 11608 | Vanuatu | VUT | 2003 | 77.479000 | 26.636837 |
| 11872 | Vanuatu | VUT | 2004 | 77.191000 | 28.060757 |
| 12136 | Vanuatu | VUT | 2005 | 76.901000 | 29.490517 |
| 12400 | Vanuatu | VUT | 2006 | 76.608000 | 26.440000 |
| 12664 | Vanuatu | VUT | 2007 | 76.313000 | 33.624620 |
| 12928 | Vanuatu | VUT | 2008 | 76.015000 | 33.873974 |
| 13192 | Vanuatu | VUT | 2009 | 75.714000 | 33.291115 |
| 13456 | Vanuatu | VUT | 2010 | 75.411000 | 36.898365 |
| 13720 | Vanuatu | VUT | 2011 | 75.106000 | 38.434589 |
| 13984 | Vanuatu | VUT | 2012 | 74.800000 | 39.982830 |
| 14248 | Vanuatu | VUT | 2013 | 74.492000 | 31.700000 |
| 14512 | Vanuatu | VUT | 2014 | 74.183000 | 43.103348 |
| 14776 | Vanuatu | VUT | 2015 | 73.872000 | 44.669613 |
| 15040 | Vanuatu | VUT | 2016 | 73.559000 | 57.820000 |
| 15304 | Vanuatu | VUT | 2017 | 73.246000 | NaN |
| 252 | Venezuela, RB | VEN | 1960 | 38.387000 | NaN |
| 516 | Venezuela, RB | VEN | 1961 | 37.125000 | NaN |
| 780 | Venezuela, RB | VEN | 1962 | 36.067000 | NaN |
| 1044 | Venezuela, RB | VEN | 1963 | 35.023000 | NaN |
| 1308 | Venezuela, RB | VEN | 1964 | 33.991000 | NaN |
| 1572 | Venezuela, RB | VEN | 1965 | 32.978000 | NaN |
| 1836 | Venezuela, RB | VEN | 1966 | 31.978000 | NaN |
| 2100 | Venezuela, RB | VEN | 1967 | 30.995000 | NaN |
| 2364 | Venezuela, RB | VEN | 1968 | 30.027000 | NaN |
| 2628 | Venezuela, RB | VEN | 1969 | 29.080000 | NaN |
| 2892 | Venezuela, RB | VEN | 1970 | 28.148000 | NaN |
| 3156 | Venezuela, RB | VEN | 1971 | 27.236000 | NaN |
| 3420 | Venezuela, RB | VEN | 1972 | 26.425000 | NaN |
| 3684 | Venezuela, RB | VEN | 1973 | 25.675000 | NaN |
| 3948 | Venezuela, RB | VEN | 1974 | 24.937000 | NaN |
| 4212 | Venezuela, RB | VEN | 1975 | 24.214000 | NaN |
| 4476 | Venezuela, RB | VEN | 1976 | 23.504000 | NaN |
| 4740 | Venezuela, RB | VEN | 1977 | 22.811000 | NaN |
| 5004 | Venezuela, RB | VEN | 1978 | 22.132000 | NaN |
| 5268 | Venezuela, RB | VEN | 1979 | 21.467000 | NaN |
| 5532 | Venezuela, RB | VEN | 1980 | 20.815000 | NaN |
| 5796 | Venezuela, RB | VEN | 1981 | 20.180000 | NaN |
| 6060 | Venezuela, RB | VEN | 1982 | 19.618000 | NaN |
| 6324 | Venezuela, RB | VEN | 1983 | 19.093000 | NaN |
| 6588 | Venezuela, RB | VEN | 1984 | 18.578000 | NaN |
| 6852 | Venezuela, RB | VEN | 1985 | 18.075000 | NaN |
| 7116 | Venezuela, RB | VEN | 1986 | 17.582000 | NaN |
| 7380 | Venezuela, RB | VEN | 1987 | 17.100000 | NaN |
| 7644 | Venezuela, RB | VEN | 1988 | 16.628000 | NaN |
| 7908 | Venezuela, RB | VEN | 1989 | 16.167000 | NaN |
| 8172 | Venezuela, RB | VEN | 1990 | 15.716000 | 97.389587 |
| 8436 | Venezuela, RB | VEN | 1991 | 15.299000 | 97.536209 |
| 8700 | Venezuela, RB | VEN | 1992 | 14.901000 | 97.820203 |
| 8964 | Venezuela, RB | VEN | 1993 | 14.513000 | 97.825386 |
| 9228 | Venezuela, RB | VEN | 1994 | 14.132000 | 97.962326 |
| 9492 | Venezuela, RB | VEN | 1995 | 13.760000 | 98.090088 |
| 9756 | Venezuela, RB | VEN | 1996 | 13.395000 | 98.205612 |
| 10020 | Venezuela, RB | VEN | 1997 | 13.040000 | 98.305840 |
| 10284 | Venezuela, RB | VEN | 1998 | 12.692000 | 98.387718 |
| 10548 | Venezuela, RB | VEN | 1999 | 12.353000 | 98.448181 |
| 10812 | Venezuela, RB | VEN | 2000 | 12.020000 | 98.485687 |
| 11076 | Venezuela, RB | VEN | 2001 | 11.697000 | 98.504791 |
| 11340 | Venezuela, RB | VEN | 2002 | 11.562000 | 98.511543 |
| 11604 | Venezuela, RB | VEN | 2003 | 11.520000 | 98.512009 |
| 11868 | Venezuela, RB | VEN | 2004 | 11.478000 | 98.512260 |
| 12132 | Venezuela, RB | VEN | 2005 | 11.437000 | 98.518349 |
| 12396 | Venezuela, RB | VEN | 2006 | 11.395000 | 98.536346 |
| 12660 | Venezuela, RB | VEN | 2007 | 11.354000 | 98.572311 |
| 12924 | Venezuela, RB | VEN | 2008 | 11.313000 | 98.630798 |
| 13188 | Venezuela, RB | VEN | 2009 | 11.272000 | 98.710304 |
| 13452 | Venezuela, RB | VEN | 2010 | 11.231000 | 98.807846 |
| 13716 | Venezuela, RB | VEN | 2011 | 11.190000 | 98.840000 |
| 13980 | Venezuela, RB | VEN | 2012 | 11.149000 | 99.044968 |
| 14244 | Venezuela, RB | VEN | 2013 | 11.106000 | 99.178551 |
| 14508 | Venezuela, RB | VEN | 2014 | 11.059000 | 99.318146 |
| 14772 | Venezuela, RB | VEN | 2015 | 11.010000 | 99.460739 |
| 15036 | Venezuela, RB | VEN | 2016 | 10.957000 | 99.603836 |
| 15300 | Venezuela, RB | VEN | 2017 | 10.902000 | NaN |
| 255 | Vietnam | VNM | 1960 | 85.300000 | NaN |
| 519 | Vietnam | VNM | 1961 | 84.969000 | NaN |
| 783 | Vietnam | VNM | 1962 | 84.631000 | NaN |
| 1047 | Vietnam | VNM | 1963 | 84.286000 | NaN |
| 1311 | Vietnam | VNM | 1964 | 83.936000 | NaN |
| 1575 | Vietnam | VNM | 1965 | 83.579000 | NaN |
| 1839 | Vietnam | VNM | 1966 | 83.216000 | NaN |
| 2103 | Vietnam | VNM | 1967 | 82.847000 | NaN |
| 2367 | Vietnam | VNM | 1968 | 82.471000 | NaN |
| 2631 | Vietnam | VNM | 1969 | 82.089000 | NaN |
| 2895 | Vietnam | VNM | 1970 | 81.700000 | NaN |
| 3159 | Vietnam | VNM | 1971 | 81.604000 | NaN |
| 3423 | Vietnam | VNM | 1972 | 81.508000 | NaN |
| 3687 | Vietnam | VNM | 1973 | 81.412000 | NaN |
| 3951 | Vietnam | VNM | 1974 | 81.315000 | NaN |
| 4215 | Vietnam | VNM | 1975 | 81.218000 | NaN |
| 4479 | Vietnam | VNM | 1976 | 81.120000 | NaN |
| 4743 | Vietnam | VNM | 1977 | 81.022000 | NaN |
| 5007 | Vietnam | VNM | 1978 | 80.924000 | NaN |
| 5271 | Vietnam | VNM | 1979 | 80.825000 | NaN |
| 5535 | Vietnam | VNM | 1980 | 80.753000 | NaN |
| 5799 | Vietnam | VNM | 1981 | 80.691000 | NaN |
| 6063 | Vietnam | VNM | 1982 | 80.628000 | NaN |
| 6327 | Vietnam | VNM | 1983 | 80.565000 | NaN |
| 6591 | Vietnam | VNM | 1984 | 80.502000 | NaN |
| 6855 | Vietnam | VNM | 1985 | 80.439000 | NaN |
| 7119 | Vietnam | VNM | 1986 | 80.375000 | NaN |
| 7383 | Vietnam | VNM | 1987 | 80.312000 | NaN |
| 7647 | Vietnam | VNM | 1988 | 80.248000 | NaN |
| 7911 | Vietnam | VNM | 1989 | 80.110000 | NaN |
| 8175 | Vietnam | VNM | 1990 | 79.745000 | 74.114670 |
| 8439 | Vietnam | VNM | 1991 | 79.375000 | 75.364212 |
| 8703 | Vietnam | VNM | 1992 | 79.000000 | 76.613235 |
| 8967 | Vietnam | VNM | 1993 | 78.603000 | 77.859207 |
| 9231 | Vietnam | VNM | 1994 | 78.200000 | 79.099052 |
| 9495 | Vietnam | VNM | 1995 | 77.813000 | 80.329727 |
| 9759 | Vietnam | VNM | 1996 | 77.421000 | 81.548157 |
| 10023 | Vietnam | VNM | 1997 | 77.026000 | 78.400000 |
| 10287 | Vietnam | VNM | 1998 | 76.624000 | 83.936089 |
| 10551 | Vietnam | VNM | 1999 | 76.183000 | 85.099457 |
| 10815 | Vietnam | VNM | 2000 | 75.626000 | 86.239876 |
| 11079 | Vietnam | VNM | 2001 | 75.063000 | 87.361885 |
| 11343 | Vietnam | VNM | 2002 | 74.489000 | 89.100000 |
| 11607 | Vietnam | VNM | 2003 | 73.908000 | 89.574928 |
| 11871 | Vietnam | VNM | 2004 | 73.317000 | 90.678085 |
| 12135 | Vietnam | VNM | 2005 | 72.719000 | 96.100000 |
| 12399 | Vietnam | VNM | 2006 | 72.112000 | 96.000000 |
| 12663 | Vietnam | VNM | 2007 | 71.496000 | 94.046867 |
| 12927 | Vietnam | VNM | 2008 | 70.872000 | 95.208260 |
| 13191 | Vietnam | VNM | 2009 | 70.242000 | 96.100000 |
| 13455 | Vietnam | VNM | 2010 | 69.608000 | 97.591133 |
| 13719 | Vietnam | VNM | 2011 | 68.971000 | 99.000000 |
| 13983 | Vietnam | VNM | 2012 | 68.332000 | 100.000000 |
| 14247 | Vietnam | VNM | 2013 | 67.691000 | 100.000000 |
| 14511 | Vietnam | VNM | 2014 | 67.049000 | 99.200000 |
| 14775 | Vietnam | VNM | 2015 | 66.407000 | 100.000000 |
| 15039 | Vietnam | VNM | 2016 | 65.764000 | 100.000000 |
| 15303 | Vietnam | VNM | 2017 | 65.121000 | NaN |
| 254 | Virgin Islands (U.S.) | VIR | 1960 | 43.523000 | NaN |
| 518 | Virgin Islands (U.S.) | VIR | 1961 | 42.136000 | NaN |
| 782 | Virgin Islands (U.S.) | VIR | 1962 | 40.759000 | NaN |
| 1046 | Virgin Islands (U.S.) | VIR | 1963 | 39.396000 | NaN |
| 1310 | Virgin Islands (U.S.) | VIR | 1964 | 38.048000 | NaN |
| 1574 | Virgin Islands (U.S.) | VIR | 1965 | 36.721000 | NaN |
| 1838 | Virgin Islands (U.S.) | VIR | 1966 | 35.413000 | NaN |
| 2102 | Virgin Islands (U.S.) | VIR | 1967 | 34.126000 | NaN |
| 2366 | Virgin Islands (U.S.) | VIR | 1968 | 32.860000 | NaN |
| 2630 | Virgin Islands (U.S.) | VIR | 1969 | 31.622000 | NaN |
| 2894 | Virgin Islands (U.S.) | VIR | 1970 | 30.408000 | NaN |
| 3158 | Virgin Islands (U.S.) | VIR | 1971 | 29.221000 | NaN |
| 3422 | Virgin Islands (U.S.) | VIR | 1972 | 28.059000 | NaN |
| 3686 | Virgin Islands (U.S.) | VIR | 1973 | 26.930000 | NaN |
| 3950 | Virgin Islands (U.S.) | VIR | 1974 | 25.828000 | NaN |
| 4214 | Virgin Islands (U.S.) | VIR | 1975 | 24.755000 | NaN |
| 4478 | Virgin Islands (U.S.) | VIR | 1976 | 23.712000 | NaN |
| 4742 | Virgin Islands (U.S.) | VIR | 1977 | 22.702000 | NaN |
| 5006 | Virgin Islands (U.S.) | VIR | 1978 | 21.722000 | NaN |
| 5270 | Virgin Islands (U.S.) | VIR | 1979 | 20.772000 | NaN |
| 5534 | Virgin Islands (U.S.) | VIR | 1980 | 19.853000 | NaN |
| 5798 | Virgin Islands (U.S.) | VIR | 1981 | 18.966000 | NaN |
| 6062 | Virgin Islands (U.S.) | VIR | 1982 | 18.109000 | NaN |
| 6326 | Virgin Islands (U.S.) | VIR | 1983 | 17.283000 | NaN |
| 6590 | Virgin Islands (U.S.) | VIR | 1984 | 16.486000 | NaN |
| 6854 | Virgin Islands (U.S.) | VIR | 1985 | 15.720000 | NaN |
| 7118 | Virgin Islands (U.S.) | VIR | 1986 | 14.983000 | NaN |
| 7382 | Virgin Islands (U.S.) | VIR | 1987 | 14.274000 | NaN |
| 7646 | Virgin Islands (U.S.) | VIR | 1988 | 13.593000 | NaN |
| 7910 | Virgin Islands (U.S.) | VIR | 1989 | 12.941000 | NaN |
| 8174 | Virgin Islands (U.S.) | VIR | 1990 | 12.315000 | 100.000000 |
| 8438 | Virgin Islands (U.S.) | VIR | 1991 | 11.715000 | 100.000000 |
| 8702 | Virgin Islands (U.S.) | VIR | 1992 | 11.140000 | 100.000000 |
| 8966 | Virgin Islands (U.S.) | VIR | 1993 | 10.591000 | 100.000000 |
| 9230 | Virgin Islands (U.S.) | VIR | 1994 | 10.066000 | 100.000000 |
| 9494 | Virgin Islands (U.S.) | VIR | 1995 | 9.563000 | 100.000000 |
| 9758 | Virgin Islands (U.S.) | VIR | 1996 | 9.083000 | 100.000000 |
| 10022 | Virgin Islands (U.S.) | VIR | 1997 | 8.626000 | 100.000000 |
| 10286 | Virgin Islands (U.S.) | VIR | 1998 | 8.189000 | 100.000000 |
| 10550 | Virgin Islands (U.S.) | VIR | 1999 | 7.772000 | 100.000000 |
| 10814 | Virgin Islands (U.S.) | VIR | 2000 | 7.414000 | 100.000000 |
| 11078 | Virgin Islands (U.S.) | VIR | 2001 | 7.186000 | 100.000000 |
| 11342 | Virgin Islands (U.S.) | VIR | 2002 | 6.964000 | 100.000000 |
| 11606 | Virgin Islands (U.S.) | VIR | 2003 | 6.749000 | 100.000000 |
| 11870 | Virgin Islands (U.S.) | VIR | 2004 | 6.539000 | 100.000000 |
| 12134 | Virgin Islands (U.S.) | VIR | 2005 | 6.336000 | 100.000000 |
| 12398 | Virgin Islands (U.S.) | VIR | 2006 | 6.139000 | 100.000000 |
| 12662 | Virgin Islands (U.S.) | VIR | 2007 | 5.947000 | 100.000000 |
| 12926 | Virgin Islands (U.S.) | VIR | 2008 | 5.761000 | 100.000000 |
| 13190 | Virgin Islands (U.S.) | VIR | 2009 | 5.581000 | 100.000000 |
| 13454 | Virgin Islands (U.S.) | VIR | 2010 | 5.406000 | 100.000000 |
| 13718 | Virgin Islands (U.S.) | VIR | 2011 | 5.240000 | 100.000000 |
| 13982 | Virgin Islands (U.S.) | VIR | 2012 | 5.084000 | 100.000000 |
| 14246 | Virgin Islands (U.S.) | VIR | 2013 | 4.936000 | 100.000000 |
| 14510 | Virgin Islands (U.S.) | VIR | 2014 | 4.797000 | 100.000000 |
| 14774 | Virgin Islands (U.S.) | VIR | 2015 | 4.665000 | 100.000000 |
| 15038 | Virgin Islands (U.S.) | VIR | 2016 | 4.541000 | 100.000000 |
| 15302 | Virgin Islands (U.S.) | VIR | 2017 | 4.424000 | NaN |
| 194 | West Bank and Gaza | PSE | 1960 | NaN | NaN |
| 458 | West Bank and Gaza | PSE | 1961 | NaN | NaN |
| 722 | West Bank and Gaza | PSE | 1962 | NaN | NaN |
| 986 | West Bank and Gaza | PSE | 1963 | NaN | NaN |
| 1250 | West Bank and Gaza | PSE | 1964 | NaN | NaN |
| 1514 | West Bank and Gaza | PSE | 1965 | NaN | NaN |
| 1778 | West Bank and Gaza | PSE | 1966 | NaN | NaN |
| 2042 | West Bank and Gaza | PSE | 1967 | NaN | NaN |
| 2306 | West Bank and Gaza | PSE | 1968 | NaN | NaN |
| 2570 | West Bank and Gaza | PSE | 1969 | NaN | NaN |
| 2834 | West Bank and Gaza | PSE | 1970 | NaN | NaN |
| 3098 | West Bank and Gaza | PSE | 1971 | NaN | NaN |
| 3362 | West Bank and Gaza | PSE | 1972 | NaN | NaN |
| 3626 | West Bank and Gaza | PSE | 1973 | NaN | NaN |
| 3890 | West Bank and Gaza | PSE | 1974 | NaN | NaN |
| 4154 | West Bank and Gaza | PSE | 1975 | NaN | NaN |
| 4418 | West Bank and Gaza | PSE | 1976 | NaN | NaN |
| 4682 | West Bank and Gaza | PSE | 1977 | NaN | NaN |
| 4946 | West Bank and Gaza | PSE | 1978 | NaN | NaN |
| 5210 | West Bank and Gaza | PSE | 1979 | NaN | NaN |
| 5474 | West Bank and Gaza | PSE | 1980 | NaN | NaN |
| 5738 | West Bank and Gaza | PSE | 1981 | NaN | NaN |
| 6002 | West Bank and Gaza | PSE | 1982 | NaN | NaN |
| 6266 | West Bank and Gaza | PSE | 1983 | NaN | NaN |
| 6530 | West Bank and Gaza | PSE | 1984 | NaN | NaN |
| 6794 | West Bank and Gaza | PSE | 1985 | NaN | NaN |
| 7058 | West Bank and Gaza | PSE | 1986 | NaN | NaN |
| 7322 | West Bank and Gaza | PSE | 1987 | NaN | NaN |
| 7586 | West Bank and Gaza | PSE | 1988 | NaN | NaN |
| 7850 | West Bank and Gaza | PSE | 1989 | NaN | NaN |
| 8114 | West Bank and Gaza | PSE | 1990 | 32.291000 | 97.354027 |
| 8378 | West Bank and Gaza | PSE | 1991 | 31.781000 | 97.548073 |
| 8642 | West Bank and Gaza | PSE | 1992 | 31.274000 | 97.741608 |
| 8906 | West Bank and Gaza | PSE | 1993 | 30.773000 | 97.932083 |
| 9170 | West Bank and Gaza | PSE | 1994 | 30.276000 | 98.116440 |
| 9434 | West Bank and Gaza | PSE | 1995 | 29.784000 | 98.291626 |
| 9698 | West Bank and Gaza | PSE | 1996 | 29.295000 | 98.454567 |
| 9962 | West Bank and Gaza | PSE | 1997 | 28.813000 | 97.900000 |
| 10226 | West Bank and Gaza | PSE | 1998 | 28.476000 | 98.731514 |
| 10490 | West Bank and Gaza | PSE | 1999 | 28.253000 | 98.839394 |
| 10754 | West Bank and Gaza | PSE | 2000 | 28.031000 | 99.700000 |
| 11018 | West Bank and Gaza | PSE | 2001 | 27.811000 | 98.990845 |
| 11282 | West Bank and Gaza | PSE | 2002 | 27.591000 | 99.045013 |
| 11546 | West Bank and Gaza | PSE | 2003 | 27.373000 | 99.100000 |
| 11810 | West Bank and Gaza | PSE | 2004 | 27.155000 | 99.140572 |
| 12074 | West Bank and Gaza | PSE | 2005 | 26.939000 | 99.194084 |
| 12338 | West Bank and Gaza | PSE | 2006 | 26.724000 | 99.700000 |
| 12602 | West Bank and Gaza | PSE | 2007 | 26.509000 | 99.342880 |
| 12866 | West Bank and Gaza | PSE | 2008 | 26.296000 | 99.448792 |
| 13130 | West Bank and Gaza | PSE | 2009 | 26.081000 | 99.575722 |
| 13394 | West Bank and Gaza | PSE | 2010 | 25.864000 | 99.900000 |
| 13658 | West Bank and Gaza | PSE | 2011 | 25.644000 | 99.700000 |
| 13922 | West Bank and Gaza | PSE | 2012 | 25.423000 | 100.000000 |
| 14186 | West Bank and Gaza | PSE | 2013 | 25.200000 | 100.000000 |
| 14450 | West Bank and Gaza | PSE | 2014 | 24.974000 | 99.900000 |
| 14714 | West Bank and Gaza | PSE | 2015 | 24.748000 | 100.000000 |
| 14978 | West Bank and Gaza | PSE | 2016 | 24.519000 | 100.000000 |
| 15242 | West Bank and Gaza | PSE | 2017 | 24.290000 | NaN |
| 257 | World | WLD | 1960 | 66.427899 | NaN |
| 521 | World | WLD | 1961 | 65.914790 | NaN |
| 785 | World | WLD | 1962 | 65.472800 | NaN |
| 1049 | World | WLD | 1963 | 65.085718 | NaN |
| 1313 | World | WLD | 1964 | 64.692040 | NaN |
| 1577 | World | WLD | 1965 | 64.470390 | NaN |
| 1841 | World | WLD | 1966 | 64.273064 | NaN |
| 2105 | World | WLD | 1967 | 64.064446 | NaN |
| 2369 | World | WLD | 1968 | 63.866422 | NaN |
| 2633 | World | WLD | 1969 | 63.661389 | NaN |
| 2897 | World | WLD | 1970 | 63.471638 | NaN |
| 3161 | World | WLD | 1971 | 63.287507 | NaN |
| 3425 | World | WLD | 1972 | 63.078778 | NaN |
| 3689 | World | WLD | 1973 | 62.848411 | NaN |
| 3953 | World | WLD | 1974 | 62.574653 | NaN |
| 4217 | World | WLD | 1975 | 62.346893 | NaN |
| 4481 | World | WLD | 1976 | 62.102453 | NaN |
| 4745 | World | WLD | 1977 | 61.850520 | NaN |
| 5009 | World | WLD | 1978 | 61.522350 | NaN |
| 5273 | World | WLD | 1979 | 61.125752 | NaN |
| 5537 | World | WLD | 1980 | 60.723382 | NaN |
| 5801 | World | WLD | 1981 | 60.307155 | NaN |
| 6065 | World | WLD | 1982 | 59.929932 | NaN |
| 6329 | World | WLD | 1983 | 59.587456 | NaN |
| 6593 | World | WLD | 1984 | 59.234837 | NaN |
| 6857 | World | WLD | 1985 | 58.879326 | NaN |
| 7121 | World | WLD | 1986 | 58.518623 | NaN |
| 7385 | World | WLD | 1987 | 58.166923 | NaN |
| 7649 | World | WLD | 1988 | 57.796045 | NaN |
| 7913 | World | WLD | 1989 | 57.444164 | NaN |
| 8177 | World | WLD | 1990 | 57.084413 | 71.392945 |
| 8441 | World | WLD | 1991 | 56.724790 | 71.600428 |
| 8705 | World | WLD | 1992 | 56.385635 | 72.584185 |
| 8969 | World | WLD | 1993 | 56.027191 | 73.237799 |
| 9233 | World | WLD | 1994 | 55.674056 | 73.522150 |
| 9497 | World | WLD | 1995 | 55.305384 | 74.026833 |
| 9761 | World | WLD | 1996 | 54.951211 | 75.155943 |
| 10025 | World | WLD | 1997 | 54.592642 | 75.852620 |
| 10289 | World | WLD | 1998 | 54.228722 | 76.508697 |
| 10553 | World | WLD | 1999 | 53.858753 | 77.609523 |
| 10817 | World | WLD | 2000 | 53.479978 | 77.726549 |
| 11081 | World | WLD | 2001 | 53.037353 | 77.291930 |
| 11345 | World | WLD | 2002 | 52.545144 | 78.821019 |
| 11609 | World | WLD | 2003 | 52.048832 | 79.457768 |
| 11873 | World | WLD | 2004 | 51.546658 | 79.685677 |
| 12137 | World | WLD | 2005 | 51.041289 | 80.376473 |
| 12401 | World | WLD | 2006 | 50.542316 | 81.221605 |
| 12665 | World | WLD | 2007 | 50.044652 | 81.747638 |
| 12929 | World | WLD | 2008 | 49.540533 | 82.278317 |
| 13193 | World | WLD | 2009 | 49.041521 | 83.211382 |
| 13457 | World | WLD | 2010 | 48.545873 | 83.539093 |
| 13721 | World | WLD | 2011 | 48.058601 | 82.504609 |
| 13985 | World | WLD | 2012 | 47.571763 | 85.041356 |
| 14249 | World | WLD | 2013 | 47.093870 | 85.163456 |
| 14513 | World | WLD | 2014 | 46.623284 | 85.690892 |
| 14777 | World | WLD | 2015 | 46.160455 | 87.028468 |
| 15041 | World | WLD | 2016 | 45.706334 | 87.351269 |
| 15305 | World | WLD | 2017 | 45.261450 | NaN |
| 260 | Yemen, Rep. | YEM | 1960 | 90.900000 | NaN |
| 524 | Yemen, Rep. | YEM | 1961 | 90.541000 | NaN |
| 788 | Yemen, Rep. | YEM | 1962 | 90.169000 | NaN |
| 1052 | Yemen, Rep. | YEM | 1963 | 89.784000 | NaN |
| 1316 | Yemen, Rep. | YEM | 1964 | 89.386000 | NaN |
| 1580 | Yemen, Rep. | YEM | 1965 | 88.974000 | NaN |
| 1844 | Yemen, Rep. | YEM | 1966 | 88.549000 | NaN |
| 2108 | Yemen, Rep. | YEM | 1967 | 88.109000 | NaN |
| 2372 | Yemen, Rep. | YEM | 1968 | 87.653000 | NaN |
| 2636 | Yemen, Rep. | YEM | 1969 | 87.185000 | NaN |
| 2900 | Yemen, Rep. | YEM | 1970 | 86.700000 | NaN |
| 3164 | Yemen, Rep. | YEM | 1971 | 86.402000 | NaN |
| 3428 | Yemen, Rep. | YEM | 1972 | 86.099000 | NaN |
| 3692 | Yemen, Rep. | YEM | 1973 | 85.791000 | NaN |
| 3956 | Yemen, Rep. | YEM | 1974 | 85.476000 | NaN |
| 4220 | Yemen, Rep. | YEM | 1975 | 85.156000 | NaN |
| 4484 | Yemen, Rep. | YEM | 1976 | 84.829000 | NaN |
| 4748 | Yemen, Rep. | YEM | 1977 | 84.498000 | NaN |
| 5012 | Yemen, Rep. | YEM | 1978 | 84.160000 | NaN |
| 5276 | Yemen, Rep. | YEM | 1979 | 83.817000 | NaN |
| 5540 | Yemen, Rep. | YEM | 1980 | 83.466000 | NaN |
| 5804 | Yemen, Rep. | YEM | 1981 | 83.111000 | NaN |
| 6068 | Yemen, Rep. | YEM | 1982 | 82.749000 | NaN |
| 6332 | Yemen, Rep. | YEM | 1983 | 82.381000 | NaN |
| 6596 | Yemen, Rep. | YEM | 1984 | 82.007000 | NaN |
| 6860 | Yemen, Rep. | YEM | 1985 | 81.627000 | NaN |
| 7124 | Yemen, Rep. | YEM | 1986 | 81.192000 | NaN |
| 7388 | Yemen, Rep. | YEM | 1987 | 80.677000 | NaN |
| 7652 | Yemen, Rep. | YEM | 1988 | 80.151000 | NaN |
| 7916 | Yemen, Rep. | YEM | 1989 | 79.615000 | NaN |
| 8180 | Yemen, Rep. | YEM | 1990 | 79.069000 | 36.009098 |
| 8444 | Yemen, Rep. | YEM | 1991 | 78.511000 | 37.441071 |
| 8708 | Yemen, Rep. | YEM | 1992 | 77.942000 | 44.100000 |
| 8972 | Yemen, Rep. | YEM | 1993 | 77.364000 | 40.300938 |
| 9236 | Yemen, Rep. | YEM | 1994 | 76.775000 | 41.723221 |
| 9500 | Yemen, Rep. | YEM | 1995 | 76.240000 | 43.136330 |
| 9764 | Yemen, Rep. | YEM | 1996 | 75.751000 | 44.537205 |
| 10028 | Yemen, Rep. | YEM | 1997 | 75.257000 | 42.600000 |
| 10292 | Yemen, Rep. | YEM | 1998 | 74.756000 | 47.290001 |
| 10556 | Yemen, Rep. | YEM | 1999 | 74.248000 | 48.635811 |
| 10820 | Yemen, Rep. | YEM | 2000 | 73.733000 | 49.958664 |
| 11084 | Yemen, Rep. | YEM | 2001 | 73.213000 | 51.263111 |
| 11348 | Yemen, Rep. | YEM | 2002 | 72.685000 | 52.555210 |
| 11612 | Yemen, Rep. | YEM | 2003 | 72.151000 | 53.841026 |
| 11876 | Yemen, Rep. | YEM | 2004 | 71.610000 | 49.590000 |
| 12140 | Yemen, Rep. | YEM | 2005 | 71.064000 | 56.418056 |
| 12404 | Yemen, Rep. | YEM | 2006 | 70.513000 | 55.800335 |
| 12668 | Yemen, Rep. | YEM | 2007 | 69.958000 | 59.042709 |
| 12932 | Yemen, Rep. | YEM | 2008 | 69.398000 | 60.386539 |
| 13196 | Yemen, Rep. | YEM | 2009 | 68.835000 | 61.751400 |
| 13460 | Yemen, Rep. | YEM | 2010 | 68.268000 | 63.134281 |
| 13724 | Yemen, Rep. | YEM | 2011 | 67.698000 | 64.532181 |
| 13988 | Yemen, Rep. | YEM | 2012 | 67.126000 | 65.942101 |
| 14252 | Yemen, Rep. | YEM | 2013 | 66.550000 | 75.600000 |
| 14516 | Yemen, Rep. | YEM | 2014 | 65.973000 | 66.100000 |
| 14780 | Yemen, Rep. | YEM | 2015 | 65.394000 | 70.213905 |
| 15044 | Yemen, Rep. | YEM | 2016 | 64.813000 | 71.642349 |
| 15308 | Yemen, Rep. | YEM | 2017 | 64.231000 | NaN |
| 262 | Zambia | ZMB | 1960 | 81.855000 | NaN |
| 526 | Zambia | ZMB | 1961 | 81.049000 | NaN |
| 790 | Zambia | ZMB | 1962 | 80.215000 | NaN |
| 1054 | Zambia | ZMB | 1963 | 79.288000 | NaN |
| 1318 | Zambia | ZMB | 1964 | 77.985000 | NaN |
| 1582 | Zambia | ZMB | 1965 | 76.628000 | NaN |
| 1846 | Zambia | ZMB | 1966 | 75.211000 | NaN |
| 2110 | Zambia | ZMB | 1967 | 73.739000 | NaN |
| 2374 | Zambia | ZMB | 1968 | 72.209000 | NaN |
| 2638 | Zambia | ZMB | 1969 | 70.630000 | NaN |
| 2902 | Zambia | ZMB | 1970 | 69.649000 | NaN |
| 3166 | Zambia | ZMB | 1971 | 68.759000 | NaN |
| 3430 | Zambia | ZMB | 1972 | 67.854000 | NaN |
| 3694 | Zambia | ZMB | 1973 | 66.939000 | NaN |
| 3958 | Zambia | ZMB | 1974 | 66.008000 | NaN |
| 4222 | Zambia | ZMB | 1975 | 65.066000 | NaN |
| 4486 | Zambia | ZMB | 1976 | 64.110000 | NaN |
| 4750 | Zambia | ZMB | 1977 | 63.145000 | NaN |
| 5014 | Zambia | ZMB | 1978 | 62.168000 | NaN |
| 5278 | Zambia | ZMB | 1979 | 61.182000 | NaN |
| 5542 | Zambia | ZMB | 1980 | 60.185000 | NaN |
| 5806 | Zambia | ZMB | 1981 | 60.146000 | NaN |
| 6070 | Zambia | ZMB | 1982 | 60.195000 | NaN |
| 6334 | Zambia | ZMB | 1983 | 60.245000 | NaN |
| 6598 | Zambia | ZMB | 1984 | 60.295000 | NaN |
| 6862 | Zambia | ZMB | 1985 | 60.345000 | NaN |
| 7126 | Zambia | ZMB | 1986 | 60.394000 | NaN |
| 7390 | Zambia | ZMB | 1987 | 60.444000 | NaN |
| 7654 | Zambia | ZMB | 1988 | 60.494000 | NaN |
| 7918 | Zambia | ZMB | 1989 | 60.544000 | NaN |
| 8182 | Zambia | ZMB | 1990 | 60.593000 | 13.900000 |
| 8446 | Zambia | ZMB | 1991 | 61.011000 | 14.115426 |
| 8710 | Zambia | ZMB | 1992 | 61.486000 | 19.200000 |
| 8974 | Zambia | ZMB | 1993 | 61.958000 | 15.287503 |
| 9238 | Zambia | ZMB | 1994 | 62.428000 | 15.865894 |
| 9502 | Zambia | ZMB | 1995 | 62.896000 | 16.435108 |
| 9766 | Zambia | ZMB | 1996 | 63.362000 | 17.300000 |
| 10030 | Zambia | ZMB | 1997 | 63.824000 | 17.533768 |
| 10294 | Zambia | ZMB | 1998 | 64.284000 | 19.000000 |
| 10558 | Zambia | ZMB | 1999 | 64.742000 | 18.559008 |
| 10822 | Zambia | ZMB | 2000 | 65.198000 | 16.700000 |
| 11086 | Zambia | ZMB | 2001 | 65.042000 | 19.498520 |
| 11350 | Zambia | ZMB | 2002 | 64.631000 | 17.400000 |
| 11614 | Zambia | ZMB | 2003 | 64.219000 | 18.500000 |
| 11878 | Zambia | ZMB | 2004 | 63.804000 | 20.300000 |
| 12142 | Zambia | ZMB | 2005 | 63.388000 | 21.277885 |
| 12406 | Zambia | ZMB | 2006 | 62.969000 | 21.737333 |
| 12670 | Zambia | ZMB | 2007 | 62.548000 | 18.500000 |
| 12934 | Zambia | ZMB | 2008 | 62.125000 | 22.714685 |
| 13198 | Zambia | ZMB | 2009 | 61.701000 | 23.235649 |
| 13462 | Zambia | ZMB | 2010 | 61.275000 | 22.000000 |
| 13726 | Zambia | ZMB | 2011 | 60.847000 | 24.328644 |
| 13990 | Zambia | ZMB | 2012 | 60.413000 | 24.894667 |
| 14254 | Zambia | ZMB | 2013 | 59.973000 | 25.469702 |
| 14518 | Zambia | ZMB | 2014 | 59.528000 | 27.900000 |
| 14782 | Zambia | ZMB | 2015 | 59.078000 | 31.100000 |
| 15046 | Zambia | ZMB | 2016 | 58.621000 | 27.219337 |
| 15310 | Zambia | ZMB | 2017 | 58.160000 | NaN |
| 263 | Zimbabwe | ZWE | 1960 | 87.392000 | NaN |
| 527 | Zimbabwe | ZWE | 1961 | 87.179000 | NaN |
| 791 | Zimbabwe | ZWE | 1962 | 86.918000 | NaN |
| 1055 | Zimbabwe | ZWE | 1963 | 86.422000 | NaN |
| 1319 | Zimbabwe | ZWE | 1964 | 85.908000 | NaN |
| 1583 | Zimbabwe | ZWE | 1965 | 85.380000 | NaN |
| 1847 | Zimbabwe | ZWE | 1966 | 84.835000 | NaN |
| 2111 | Zimbabwe | ZWE | 1967 | 84.273000 | NaN |
| 2375 | Zimbabwe | ZWE | 1968 | 83.694000 | NaN |
| 2639 | Zimbabwe | ZWE | 1969 | 83.120000 | NaN |
| 2903 | Zimbabwe | ZWE | 1970 | 82.638000 | NaN |
| 3167 | Zimbabwe | ZWE | 1971 | 82.145000 | NaN |
| 3431 | Zimbabwe | ZWE | 1972 | 81.640000 | NaN |
| 3695 | Zimbabwe | ZWE | 1973 | 81.126000 | NaN |
| 3959 | Zimbabwe | ZWE | 1974 | 80.600000 | NaN |
| 4223 | Zimbabwe | ZWE | 1975 | 80.127000 | NaN |
| 4487 | Zimbabwe | ZWE | 1976 | 79.644000 | NaN |
| 4751 | Zimbabwe | ZWE | 1977 | 79.154000 | NaN |
| 5015 | Zimbabwe | ZWE | 1978 | 78.655000 | NaN |
| 5279 | Zimbabwe | ZWE | 1979 | 78.147000 | NaN |
| 5543 | Zimbabwe | ZWE | 1980 | 77.629000 | NaN |
| 5807 | Zimbabwe | ZWE | 1981 | 77.105000 | NaN |
| 6071 | Zimbabwe | ZWE | 1982 | 76.571000 | NaN |
| 6335 | Zimbabwe | ZWE | 1983 | 75.931000 | NaN |
| 6599 | Zimbabwe | ZWE | 1984 | 75.264000 | NaN |
| 6863 | Zimbabwe | ZWE | 1985 | 74.586000 | NaN |
| 7127 | Zimbabwe | ZWE | 1986 | 73.895000 | NaN |
| 7391 | Zimbabwe | ZWE | 1987 | 73.191000 | NaN |
| 7655 | Zimbabwe | ZWE | 1988 | 72.476000 | NaN |
| 7919 | Zimbabwe | ZWE | 1989 | 71.750000 | NaN |
| 8183 | Zimbabwe | ZWE | 1990 | 71.012000 | 30.357832 |
| 8447 | Zimbabwe | ZWE | 1991 | 70.262000 | 30.718805 |
| 8711 | Zimbabwe | ZWE | 1992 | 69.501000 | 28.200000 |
| 8975 | Zimbabwe | ZWE | 1993 | 69.060000 | 31.436678 |
| 9239 | Zimbabwe | ZWE | 1994 | 68.665000 | 28.100000 |
| 9503 | Zimbabwe | ZWE | 1995 | 68.268000 | 32.130077 |
| 9767 | Zimbabwe | ZWE | 1996 | 67.868000 | 32.459949 |
| 10031 | Zimbabwe | ZWE | 1997 | 67.466000 | 32.774529 |
| 10295 | Zimbabwe | ZWE | 1998 | 67.061000 | 33.070751 |
| 10559 | Zimbabwe | ZWE | 1999 | 66.653000 | 38.400000 |
| 10823 | Zimbabwe | ZWE | 2000 | 66.242000 | 33.597420 |
| 11087 | Zimbabwe | ZWE | 2001 | 65.830000 | 33.830868 |
| 11351 | Zimbabwe | ZWE | 2002 | 65.415000 | 34.200000 |
| 11615 | Zimbabwe | ZWE | 2003 | 65.521000 | 34.266785 |
| 11879 | Zimbabwe | ZWE | 2004 | 65.706000 | 34.481380 |
| 12143 | Zimbabwe | ZWE | 2005 | 65.890000 | 34.701820 |
| 12407 | Zimbabwe | ZWE | 2006 | 66.074000 | 37.200000 |
| 12671 | Zimbabwe | ZWE | 2007 | 66.257000 | 35.184479 |
| 12935 | Zimbabwe | ZWE | 2008 | 66.440000 | 35.457310 |
| 13199 | Zimbabwe | ZWE | 2009 | 66.622000 | 43.369082 |
| 13463 | Zimbabwe | ZWE | 2010 | 66.804000 | 36.063057 |
| 13727 | Zimbabwe | ZWE | 2011 | 66.985000 | 36.900000 |
| 13991 | Zimbabwe | ZWE | 2012 | 67.166000 | 36.728878 |
| 14255 | Zimbabwe | ZWE | 2013 | 67.346000 | 37.076813 |
| 14519 | Zimbabwe | ZWE | 2014 | 67.499000 | 32.300000 |
| 14783 | Zimbabwe | ZWE | 2015 | 67.624000 | 33.700000 |
| 15047 | Zimbabwe | ZWE | 2016 | 67.723000 | 38.145138 |
| 15311 | Zimbabwe | ZWE | 2017 | 67.793000 | NaN |
Cleaning data is a big topic. Every data set might have its own issues whether that involves missing values, duplicated entries, data entry mistakes, etc. In this exercise, you'll do some data cleaning on the World Bank projects and World Bank indicators data sets.
Currently, the projects data and the indicators data have different values for country names. Your task in this exercise is to clean both data sets so that they have consistent country names. This will allow you to join the two data sets together. Cleaning data, unfortunately, can be tedious and take a lot of your time as a data scientist.
Why might you want to join these data sets together? What if, for example, you wanted to run linear regression to try to predict project costs based on indicator data? Or you might want to analyze the types of projects that get approved versus the indicator data. For example, do countries with low rates of rural electrification have more rural themed projects?
Run the code cells below to import the data sets.
import pandas as pd
# read in the population data and drop the final column
df_indicator = pd.read_csv('population_data.csv', skiprows=4)
df_indicator.drop(['Unnamed: 62'], axis=1, inplace=True)
# read in the projects data set with all columns type string
df_projects = pd.read_csv('projects_data.csv', dtype=str)
df_projects.drop(['Unnamed: 56'], axis=1, inplace=True)
The next code cell outputs the unique country names and ISO abbreviations in the population indicator data set. You'll notice a few values that represent world regions such as 'East Asia & Pacific' and 'East Asia & Pacific (excluding high income)'.
df_indicator[['Country Name', 'Country Code']].drop_duplicates()
| Country Name | Country Code | |
|---|---|---|
| 0 | Aruba | ABW |
| 1 | Afghanistan | AFG |
| 2 | Angola | AGO |
| 3 | Albania | ALB |
| 4 | Andorra | AND |
| 5 | Arab World | ARB |
| 6 | United Arab Emirates | ARE |
| 7 | Argentina | ARG |
| 8 | Armenia | ARM |
| 9 | American Samoa | ASM |
| 10 | Antigua and Barbuda | ATG |
| 11 | Australia | AUS |
| 12 | Austria | AUT |
| 13 | Azerbaijan | AZE |
| 14 | Burundi | BDI |
| 15 | Belgium | BEL |
| 16 | Benin | BEN |
| 17 | Burkina Faso | BFA |
| 18 | Bangladesh | BGD |
| 19 | Bulgaria | BGR |
| 20 | Bahrain | BHR |
| 21 | Bahamas, The | BHS |
| 22 | Bosnia and Herzegovina | BIH |
| 23 | Belarus | BLR |
| 24 | Belize | BLZ |
| 25 | Bermuda | BMU |
| 26 | Bolivia | BOL |
| 27 | Brazil | BRA |
| 28 | Barbados | BRB |
| 29 | Brunei Darussalam | BRN |
| 30 | Bhutan | BTN |
| 31 | Botswana | BWA |
| 32 | Central African Republic | CAF |
| 33 | Canada | CAN |
| 34 | Central Europe and the Baltics | CEB |
| 35 | Switzerland | CHE |
| 36 | Channel Islands | CHI |
| 37 | Chile | CHL |
| 38 | China | CHN |
| 39 | Cote d'Ivoire | CIV |
| 40 | Cameroon | CMR |
| 41 | Congo, Dem. Rep. | COD |
| 42 | Congo, Rep. | COG |
| 43 | Colombia | COL |
| 44 | Comoros | COM |
| 45 | Cabo Verde | CPV |
| 46 | Costa Rica | CRI |
| 47 | Caribbean small states | CSS |
| 48 | Cuba | CUB |
| 49 | Curacao | CUW |
| 50 | Cayman Islands | CYM |
| 51 | Cyprus | CYP |
| 52 | Czech Republic | CZE |
| 53 | Germany | DEU |
| 54 | Djibouti | DJI |
| 55 | Dominica | DMA |
| 56 | Denmark | DNK |
| 57 | Dominican Republic | DOM |
| 58 | Algeria | DZA |
| 59 | East Asia & Pacific (excluding high income) | EAP |
| 60 | Early-demographic dividend | EAR |
| 61 | East Asia & Pacific | EAS |
| 62 | Europe & Central Asia (excluding high income) | ECA |
| 63 | Europe & Central Asia | ECS |
| 64 | Ecuador | ECU |
| 65 | Egypt, Arab Rep. | EGY |
| 66 | Euro area | EMU |
| 67 | Eritrea | ERI |
| 68 | Spain | ESP |
| 69 | Estonia | EST |
| 70 | Ethiopia | ETH |
| 71 | European Union | EUU |
| 72 | Fragile and conflict affected situations | FCS |
| 73 | Finland | FIN |
| 74 | Fiji | FJI |
| 75 | France | FRA |
| 76 | Faroe Islands | FRO |
| 77 | Micronesia, Fed. Sts. | FSM |
| 78 | Gabon | GAB |
| 79 | United Kingdom | GBR |
| 80 | Georgia | GEO |
| 81 | Ghana | GHA |
| 82 | Gibraltar | GIB |
| 83 | Guinea | GIN |
| 84 | Gambia, The | GMB |
| 85 | Guinea-Bissau | GNB |
| 86 | Equatorial Guinea | GNQ |
| 87 | Greece | GRC |
| 88 | Grenada | GRD |
| 89 | Greenland | GRL |
| 90 | Guatemala | GTM |
| 91 | Guam | GUM |
| 92 | Guyana | GUY |
| 93 | High income | HIC |
| 94 | Hong Kong SAR, China | HKG |
| 95 | Honduras | HND |
| 96 | Heavily indebted poor countries (HIPC) | HPC |
| 97 | Croatia | HRV |
| 98 | Haiti | HTI |
| 99 | Hungary | HUN |
| 100 | IBRD only | IBD |
| 101 | IDA & IBRD total | IBT |
| 102 | IDA total | IDA |
| 103 | IDA blend | IDB |
| 104 | Indonesia | IDN |
| 105 | IDA only | IDX |
| 106 | Isle of Man | IMN |
| 107 | India | IND |
| 108 | Not classified | INX |
| 109 | Ireland | IRL |
| 110 | Iran, Islamic Rep. | IRN |
| 111 | Iraq | IRQ |
| 112 | Iceland | ISL |
| 113 | Israel | ISR |
| 114 | Italy | ITA |
| 115 | Jamaica | JAM |
| 116 | Jordan | JOR |
| 117 | Japan | JPN |
| 118 | Kazakhstan | KAZ |
| 119 | Kenya | KEN |
| 120 | Kyrgyz Republic | KGZ |
| 121 | Cambodia | KHM |
| 122 | Kiribati | KIR |
| 123 | St. Kitts and Nevis | KNA |
| 124 | Korea, Rep. | KOR |
| 125 | Kuwait | KWT |
| 126 | Latin America & Caribbean (excluding high income) | LAC |
| 127 | Lao PDR | LAO |
| 128 | Lebanon | LBN |
| 129 | Liberia | LBR |
| 130 | Libya | LBY |
| 131 | St. Lucia | LCA |
| 132 | Latin America & Caribbean | LCN |
| 133 | Least developed countries: UN classification | LDC |
| 134 | Low income | LIC |
| 135 | Liechtenstein | LIE |
| 136 | Sri Lanka | LKA |
| 137 | Lower middle income | LMC |
| 138 | Low & middle income | LMY |
| 139 | Lesotho | LSO |
| 140 | Late-demographic dividend | LTE |
| 141 | Lithuania | LTU |
| 142 | Luxembourg | LUX |
| 143 | Latvia | LVA |
| 144 | Macao SAR, China | MAC |
| 145 | St. Martin (French part) | MAF |
| 146 | Morocco | MAR |
| 147 | Monaco | MCO |
| 148 | Moldova | MDA |
| 149 | Madagascar | MDG |
| 150 | Maldives | MDV |
| 151 | Middle East & North Africa | MEA |
| 152 | Mexico | MEX |
| 153 | Marshall Islands | MHL |
| 154 | Middle income | MIC |
| 155 | Macedonia, FYR | MKD |
| 156 | Mali | MLI |
| 157 | Malta | MLT |
| 158 | Myanmar | MMR |
| 159 | Middle East & North Africa (excluding high inc... | MNA |
| 160 | Montenegro | MNE |
| 161 | Mongolia | MNG |
| 162 | Northern Mariana Islands | MNP |
| 163 | Mozambique | MOZ |
| 164 | Mauritania | MRT |
| 165 | Mauritius | MUS |
| 166 | Malawi | MWI |
| 167 | Malaysia | MYS |
| 168 | North America | NAC |
| 169 | Namibia | NAM |
| 170 | New Caledonia | NCL |
| 171 | Niger | NER |
| 172 | Nigeria | NGA |
| 173 | Nicaragua | NIC |
| 174 | Netherlands | NLD |
| 175 | Norway | NOR |
| 176 | Nepal | NPL |
| 177 | Nauru | NRU |
| 178 | New Zealand | NZL |
| 179 | OECD members | OED |
| 180 | Oman | OMN |
| 181 | Other small states | OSS |
| 182 | Pakistan | PAK |
| 183 | Panama | PAN |
| 184 | Peru | PER |
| 185 | Philippines | PHL |
| 186 | Palau | PLW |
| 187 | Papua New Guinea | PNG |
| 188 | Poland | POL |
| 189 | Pre-demographic dividend | PRE |
| 190 | Puerto Rico | PRI |
| 191 | Korea, Dem. People’s Rep. | PRK |
| 192 | Portugal | PRT |
| 193 | Paraguay | PRY |
| 194 | West Bank and Gaza | PSE |
| 195 | Pacific island small states | PSS |
| 196 | Post-demographic dividend | PST |
| 197 | French Polynesia | PYF |
| 198 | Qatar | QAT |
| 199 | Romania | ROU |
| 200 | Russian Federation | RUS |
| 201 | Rwanda | RWA |
| 202 | South Asia | SAS |
| 203 | Saudi Arabia | SAU |
| 204 | Sudan | SDN |
| 205 | Senegal | SEN |
| 206 | Singapore | SGP |
| 207 | Solomon Islands | SLB |
| 208 | Sierra Leone | SLE |
| 209 | El Salvador | SLV |
| 210 | San Marino | SMR |
| 211 | Somalia | SOM |
| 212 | Serbia | SRB |
| 213 | Sub-Saharan Africa (excluding high income) | SSA |
| 214 | South Sudan | SSD |
| 215 | Sub-Saharan Africa | SSF |
| 216 | Small states | SST |
| 217 | Sao Tome and Principe | STP |
| 218 | Suriname | SUR |
| 219 | Slovak Republic | SVK |
| 220 | Slovenia | SVN |
| 221 | Sweden | SWE |
| 222 | Swaziland | SWZ |
| 223 | Sint Maarten (Dutch part) | SXM |
| 224 | Seychelles | SYC |
| 225 | Syrian Arab Republic | SYR |
| 226 | Turks and Caicos Islands | TCA |
| 227 | Chad | TCD |
| 228 | East Asia & Pacific (IDA & IBRD countries) | TEA |
| 229 | Europe & Central Asia (IDA & IBRD countries) | TEC |
| 230 | Togo | TGO |
| 231 | Thailand | THA |
| 232 | Tajikistan | TJK |
| 233 | Turkmenistan | TKM |
| 234 | Latin America & the Caribbean (IDA & IBRD coun... | TLA |
| 235 | Timor-Leste | TLS |
| 236 | Middle East & North Africa (IDA & IBRD countries) | TMN |
| 237 | Tonga | TON |
| 238 | South Asia (IDA & IBRD) | TSA |
| 239 | Sub-Saharan Africa (IDA & IBRD countries) | TSS |
| 240 | Trinidad and Tobago | TTO |
| 241 | Tunisia | TUN |
| 242 | Turkey | TUR |
| 243 | Tuvalu | TUV |
| 244 | Tanzania | TZA |
| 245 | Uganda | UGA |
| 246 | Ukraine | UKR |
| 247 | Upper middle income | UMC |
| 248 | Uruguay | URY |
| 249 | United States | USA |
| 250 | Uzbekistan | UZB |
| 251 | St. Vincent and the Grenadines | VCT |
| 252 | Venezuela, RB | VEN |
| 253 | British Virgin Islands | VGB |
| 254 | Virgin Islands (U.S.) | VIR |
| 255 | Vietnam | VNM |
| 256 | Vanuatu | VUT |
| 257 | World | WLD |
| 258 | Samoa | WSM |
| 259 | Kosovo | XKX |
| 260 | Yemen, Rep. | YEM |
| 261 | South Africa | ZAF |
| 262 | Zambia | ZMB |
| 263 | Zimbabwe | ZWE |
Run the next code cell to see the unique country names in the project data set. Notice that the projects data has two columns for country name. One is called 'countryname' and the other is called 'Country'. The 'Country' column only has NaN values.
Another thing of note: It would've been easier to join the two data sets together if the projects data had the ISO country abbreviations like the indicator data has. Unfortunately, the projects data does not have the ISO country abbreviations. To join these two data sets together, you essentially have two choices:
add a column of ISO 3 codes to the projects data set find the difference between the projects data country names and indicator data country names. Then clean the data so that they are the same. Run the code cell below to see what the project countries look like:
df_projects['countryname'].unique()
array(['World;World',
'Democratic Republic of the Congo;Democratic Republic of the Congo',
"People's Republic of Bangladesh;People's Republic of Bangladesh",
'Islamic Republic of Afghanistan;Islamic Republic of Afghanistan',
'Federal Republic of Nigeria;Federal Republic of Nigeria',
'Republic of Tunisia;Republic of Tunisia',
'Lebanese Republic;Lebanese Republic',
'Democratic Socialist Republic of Sri Lan;Democratic Socialist Republic of Sri Lan',
'Nepal;Nepal', 'Kyrgyz Republic;Kyrgyz Republic',
'Hashemite Kingdom of Jordan;Hashemite Kingdom of Jordan',
'Republic of the Union of Myanmar;Republic of the Union of Myanmar',
'Arab Republic of Egypt;Arab Republic of Egypt',
'United Republic of Tanzania;United Republic of Tanzania',
'Federal Democratic Republic of Ethiopia;Federal Democratic Republic of Ethiopia',
'Burkina Faso;Burkina Faso',
'Republic of Uzbekistan;Republic of Uzbekistan', 'Romania;Romania',
'Republic of Ghana;Republic of Ghana',
'Republic of Ecuador;Republic of Ecuador',
'Socialist Republic of Vietnam;Socialist Republic of Vietnam',
"People's Republic of China;People's Republic of China",
'Republic of Senegal;Republic of Senegal', 'Grenada;Grenada',
'Co-operative Republic of Guyana;Co-operative Republic of Guyana',
'Central Africa;Central Africa',
'Republic of Indonesia;Republic of Indonesia',
'Republic of Kenya;Republic of Kenya',
'Kingdom of Cambodia;Kingdom of Cambodia',
'Republic of Angola;Republic of Angola',
'Republic of India;Republic of India', 'Africa;Africa',
'Republic of Zambia;Republic of Zambia',
'Republic of Panama;Republic of Panama',
'Kingdom of Tonga;Kingdom of Tonga',
'Islamic Republic of Pakistan;Islamic Republic of Pakistan',
'Republic of Niger;Republic of Niger',
'Republic of Uganda;Republic of Uganda',
'Republic of Madagascar;Republic of Madagascar',
'Plurinational State of Bolivia;Plurinational State of Bolivia',
'Kingdom of Morocco;Kingdom of Morocco',
'Republic of Djibouti;Republic of Djibouti',
'Somali Democratic Republic;Somali Democratic Republic',
'Republic of Maldives;Republic of Maldives',
'Central African Republic;Central African Republic',
'Western Africa;Western Africa',
'Republic of Cabo Verde;Republic of Cabo Verde',
"Republic of Cote d'Ivoire;Republic of Cote d'Ivoire",
'Montenegro;Montenegro', 'West Bank and Gaza;West Bank and Gaza',
'Republic of Haiti;Republic of Haiti',
'Republic of Guinea-Bissau;Republic of Guinea-Bissau',
'Samoa;Samoa', 'Republic of Congo;Republic of Congo',
'Federated States of Micronesia;Federated States of Micronesia',
'Republic of the Marshall Islands;Republic of the Marshall Islands',
'Republic of Rwanda;Republic of Rwanda',
'Republic of Albania;Republic of Albania',
'Republic of Burundi;Republic of Burundi',
'Argentine Republic;Argentine Republic',
'Pacific Islands;Pacific Islands',
'Republic of Turkey;Republic of Turkey',
'Democratic Republic of Sao Tome and Prin;Democratic Republic of Sao Tome and Prin',
'Republic of The Gambia;Republic of The Gambia',
"Lao People's Democratic Republic;Lao People's Democratic Republic",
'Republic of Liberia;Republic of Liberia',
'Republic of Benin;Republic of Benin',
'Republic of Mozambique;Republic of Mozambique',
'Kingdom of Bhutan;Kingdom of Bhutan',
'Republic of Cameroon;Republic of Cameroon',
'Republic of Chad;Republic of Chad',
'Republic of Guinea;Republic of Guinea',
'Republic of Yemen;Republic of Yemen',
'Commonwealth of Dominica;Commonwealth of Dominica',
'Republic of Palau;Republic of Palau',
'Republic of Malawi;Republic of Malawi',
'Republic of Serbia;Republic of Serbia',
'Republic of Iraq;Republic of Iraq',
'Republic of the Philippines;Republic of the Philippines',
'Solomon Islands;Solomon Islands',
'Republic of Fiji;Republic of Fiji',
'United Mexican States;United Mexican States',
'Republic of Colombia;Republic of Colombia',
'Republic of Peru;Republic of Peru',
'Republic of Mali;Republic of Mali',
'Islamic Republic of Mauritania;Islamic Republic of Mauritania',
'Republic of Nicaragua;Republic of Nicaragua',
'Republic of Belarus;Republic of Belarus', 'Jamaica;Jamaica',
'Ukraine;Ukraine', 'Republic of Togo;Republic of Togo',
'Republic of Guatemala;Republic of Guatemala',
'Republic of Sierra Leone;Republic of Sierra Leone',
'Republic of Moldova;Republic of Moldova',
'Republic of Armenia;Republic of Armenia',
'Republic of Costa Rica;Republic of Costa Rica',
'Republic of Tajikistan;Republic of Tajikistan',
'Latin America;Latin America',
'Federative Republic of Brazil;Federative Republic of Brazil',
'Bosnia and Herzegovina;Bosnia and Herzegovina',
'Republic of Suriname;Republic of Suriname', 'Mongolia;Mongolia',
'Oriental Republic of Uruguay;Oriental Republic of Uruguay',
'Republic of Kiribati;Republic of Kiribati',
'Kingdom of Lesotho;Kingdom of Lesotho', 'Tuvalu;Tuvalu',
'Southern Africa;Southern Africa', 'Georgia;Georgia',
'Gabonese Republic;Gabonese Republic',
'Republic of Chile;Republic of Chile',
'Republic of Kosovo;Republic of Kosovo',
'Dominican Republic;Dominican Republic',
'Organization of Eastern Caribbean States;Organization of Eastern Caribbean States',
'Caribbean;Caribbean', 'Republic of Zimbabwe;Republic of Zimbabwe',
'Republic of Mauritius;Republic of Mauritius',
'The Independent State of Papua New Guine;The Independent State of Papua New Guine',
'Republic of Vanuatu;Republic of Vanuatu',
'Eastern Africa;Eastern Africa',
'St. Vincent and the Grenadines;St. Vincent and the Grenadines',
'Republic of Honduras;Republic of Honduras',
'Republic of South Sudan;Republic of South Sudan',
'Republic of Croatia;Republic of Croatia',
'Democratic Republic of Timor-Leste;Democratic Republic of Timor-Leste',
'Republic of South Africa;Republic of South Africa',
'Republic of Botswana;Republic of Botswana',
'Republic of Kazakhstan;Republic of Kazakhstan',
'Republic of Azerbaijan;Republic of Azerbaijan',
'Kingdom of Swaziland;Kingdom of Swaziland',
'Union of the Comoros;Union of the Comoros',
'Turkmenistan;Turkmenistan',
'Europe and Central Asia;Europe and Central Asia',
'South Asia;South Asia',
'Macedonia; former Yugoslav Republic of;Macedonia; former Yugoslav Republic of',
'St. Lucia;St. Lucia', 'Belize;Belize',
'Republic of Namibia;Republic of Namibia',
'Republic of the Sudan;Republic of the Sudan',
'Republic of Paraguay;Republic of Paraguay',
'Western Balkans;Western Balkans',
'East Asia and Pacific;East Asia and Pacific',
'Republic of Bulgaria;Republic of Bulgaria',
'Central Asia;Central Asia',
'Republic of Seychelles;Republic of Seychelles',
'Kingdom of Thailand;Kingdom of Thailand',
'Republic of Poland;Republic of Poland',
'Multi-Regional;Multi-Regional',
'Republic of El Salvador;Republic of El Salvador',
'Caucasus;Caucasus', 'Russian Federation;Russian Federation',
'Middle East and North Africa;Middle East and North Africa',
'Antigua and Barbuda;Antigua and Barbuda',
'Central America;Central America',
'Commonwealth of The Bahamas;Commonwealth of The Bahamas',
'Republic of Trinidad and Tobago;Republic of Trinidad and Tobago',
"Socialist People's Libyan Arab Jamahiriy;Socialist People's Libyan Arab Jamahiriy",
'Czech Republic;Czech Republic',
'Republic of Latvia;Republic of Latvia', 'Mekong;Mekong',
'American Samoa;American Samoa',
'Syrian Arab Republic;Syrian Arab Republic', 'Asia;Asia',
'Andean Countries;Andean Countries', 'Hungary;Hungary',
'Republic of Equatorial Guinea;Republic of Equatorial Guinea',
"People's Democratic Republic of Algeria;People's Democratic Republic of Algeria",
'Barbados;Barbados', 'Malaysia;Malaysia',
'State of Eritrea;State of Eritrea', 'Mercosur;Mercosur',
'Slovak Republic;Slovak Republic',
'Republica Bolivariana de Venezuela;Republica Bolivariana de Venezuela',
'Islamic Republic of Iran;Islamic Republic of Iran',
'Republic of Lithuania;Republic of Lithuania',
'St. Kitts and Nevis;St. Kitts and Nevis',
'Republic of Korea;Republic of Korea',
'Republic of Slovenia;Republic of Slovenia',
'Republic of Estonia;Republic of Estonia',
'Red Sea and Gulf of Aden;Red Sea and Gulf of Aden',
'Aral Sea;Aral Sea', 'Republic of Cyprus;Republic of Cyprus',
'Socialist Federal Republic of Yugoslavia;Socialist Federal Republic of Yugoslavia',
'Portuguese Republic;Portuguese Republic',
'Sultanate of Oman;Sultanate of Oman',
'Hellenic Republic;Hellenic Republic',
'Kingdom of Spain;Kingdom of Spain', 'Ireland;Ireland',
'Republic of Singapore;Republic of Singapore',
'State of Israel;State of Israel',
'Republic of Finland;Republic of Finland',
'Republic of Iceland;Republic of Iceland',
'New Zealand;New Zealand', 'Taiwan; China;Taiwan; China',
'EU Accession Countries;EU Accession Countries',
'Sint Maarten;Sint Maarten', 'Japan;Japan',
'Italian Republic;Italian Republic',
'Kingdom of Norway;Kingdom of Norway',
'Republic of Malta;Republic of Malta',
'Kingdom of Denmark;Kingdom of Denmark',
'Republic of Austria;Republic of Austria',
'Commonwealth of Australia;Commonwealth of Australia',
'Kingdom of Belgium;Kingdom of Belgium',
'Kingdom of the Netherlands;Kingdom of the Netherlands',
'Grand Duchy of Luxembourg;Grand Duchy of Luxembourg',
'French Republic;French Republic'], dtype=object)
Did you notice a pattern in the projects data country names? The entries are repeated and separated by a semi-colon like this:
'Kingdom of Spain;Kingdom of Spain'
'New Zealand;New Zealand'
The first step is to clean the country name column and get rid of the semi-colon. Do that below:
###
#
# TODO: In the df_projects dataframe, create a new column called 'Official Country Name' so that the country name only appears once.
# For example, `Republic of Malta;Republic of Malta` should be `Republic of Malta`.
#
# HINT: use the split() method - see https://pandas.pydata.org/pandas-docs/stable/text.html for examples
# HINT: with pandas, you can do all of this with just one line of code
###
df_projects['Official Country Name'] = df_projects['countryname'].apply(lambda x:x.split(';')[0])
It looks like the projects data set has official country names. Hence, this data set has an entry like "Kingdom of Spain" whereas the indicators data has just "Spain".
Luckily, someone has developed a Python library called pycountry. This library has country names, ISO abbreviations, and official country names. While you might not be able to clean all of the data with the help of this Python library, it will probably help.
Run the code cells below to install the pycountry library and see how it works.
# Run this code cell to install and import the pycountry library
!pip install pycountry
from pycountry import countries
Collecting pycountry
Downloading pycountry-19.8.18.tar.gz (10.0 MB)
|████████████████████████████████| 10.0 MB 5.3 MB/s eta 0:00:01
Building wheels for collected packages: pycountry
Building wheel for pycountry (setup.py) ... done
Created wheel for pycountry: filename=pycountry-19.8.18-py2.py3-none-any.whl size=10627361 sha256=1dc062a6c5de54c0fa5ec1140554bc114e02415d661164804e833e755b1ae3de
Stored in directory: /Users/xuhao3/Library/Caches/pip/wheels/00/77/65/5f318c3c30b046b450a385ecfc690125f8a270cdb0f3f483b4
Successfully built pycountry
Installing collected packages: pycountry
Successfully installed pycountry-19.8.18
# Run this code cell to see an example of how the library works
countries.get(name='Spain')
Country(alpha_2='ES', alpha_3='ESP', name='Spain', numeric='724', official_name='Kingdom of Spain')
# Run this code cell to see how you can also look up countries without specifying the key
countries.lookup('Kingdom of Spain').alpha_3
'ESP'
The goal is to add the ISO codes to the projects data set. To start, use the pycountry library to make a dictionary mapping the unique countries in 'Official Country Name' to the ISO code.
Iterate through the unique countries in df_projects['Official Country Name']. Create a dictionary mapping the 'Country Name' to the alpha_3 ISO abbreviations.
The dictionary should look like:
{'Kingdom of Spain':'ESP'}
If a country name cannot be found in the pycountry library, add it to a list called country_not_found.
# set up the libraries and variables
from collections import defaultdict
country_not_found = [] # stores countries not found in the pycountry library
project_country_abbrev_dict = defaultdict(str) # set up an empty dictionary of string values
# TODO: iterate through the country names in df_projects.
# Create a dictionary mapping the country name to the alpha_3 ISO code
for country in df_projects['Official Country Name'].drop_duplicates().sort_values():
try:
# TODO: look up the country name in the pycountry library
# store the country name as the dictionary key and the ISO-3 code as the value
project_country_abbrev_dict[country] = countries.lookup(country).alpha_3
except:
# If the country name is not in the pycountry library, then print out the country name
# And store the results in the country_not_found list
print(country, ' not found')
country_not_found.append(country)
Africa not found Andean Countries not found Aral Sea not found Asia not found Caribbean not found Caucasus not found Central Africa not found Central America not found Central Asia not found Co-operative Republic of Guyana not found Commonwealth of Australia not found Democratic Republic of Sao Tome and Prin not found Democratic Republic of the Congo not found Democratic Socialist Republic of Sri Lan not found EU Accession Countries not found East Asia and Pacific not found Eastern Africa not found Europe and Central Asia not found Islamic Republic of Afghanistan not found Kingdom of Swaziland not found Latin America not found Macedonia not found Mekong not found Mercosur not found Middle East and North Africa not found Multi-Regional not found Organization of Eastern Caribbean States not found Oriental Republic of Uruguay not found Pacific Islands not found Red Sea and Gulf of Aden not found Republic of Congo not found Republic of Cote d'Ivoire not found Republic of Korea not found Republic of Kosovo not found Republic of Niger not found Republic of Rwanda not found Republic of Togo not found Republic of the Union of Myanmar not found Republica Bolivariana de Venezuela not found Sint Maarten not found Socialist Federal Republic of Yugoslavia not found Socialist People's Libyan Arab Jamahiriy not found Socialist Republic of Vietnam not found Somali Democratic Republic not found South Asia not found Southern Africa not found St. Kitts and Nevis not found St. Lucia not found St. Vincent and the Grenadines not found State of Eritrea not found The Independent State of Papua New Guine not found West Bank and Gaza not found Western Africa not found Western Balkans not found World not found
Quite a few country names were not in the pycountry library. Some of these are regions like "South Asia" or "Southern Africa", so it makes sense that these would not show up in the pycountry library.
Perhaps some of these missing df_projects countries are already in the indicators data set. In the next cell, check if any of the countries in the country_not_found list are in the indicator list of countries.
# Run this code cell to
# iterate through the country_not_found list and check if the country name is in the df_indicator data set
indicator_countries = df_indicator[['Country Name', 'Country Code']].drop_duplicates().sort_values(by='Country Name')
for country in country_not_found:
if country in indicator_countries['Country Name'].tolist():
print(country)
South Asia St. Kitts and Nevis St. Lucia St. Vincent and the Grenadines West Bank and Gaza World
Unfortunately, there aren't too many country names that match between df_indicator and df_projects. This is where data cleaning becomes especially tedious, but in this case, we've done a lot of the work for you.
We've manually created a dictionary that maps all of the countries in country_not_found to the ISO-3 alpha codes. You could try to do this programatically using some sophisticated string matching rules. That might be worth your time for a larger data set. But in this case, it's probably faster to type out the dictionary.
# run this code cell to load the dictionary
country_not_found_mapping = {'Co-operative Republic of Guyana': 'GUY',
'Commonwealth of Australia':'AUS',
'Democratic Republic of Sao Tome and Prin':'STP',
'Democratic Republic of the Congo':'COD',
'Democratic Socialist Republic of Sri Lan':'LKA',
'East Asia and Pacific':'EAS',
'Europe and Central Asia': 'ECS',
'Islamic Republic of Afghanistan':'AFG',
'Latin America':'LCN',
'Caribbean':'LCN',
'Macedonia':'MKD',
'Middle East and North Africa':'MEA',
'Oriental Republic of Uruguay':'URY',
'Republic of Congo':'COG',
"Republic of Cote d'Ivoire":'CIV',
'Republic of Korea':'KOR',
'Republic of Niger':'NER',
'Republic of Kosovo':'XKX',
'Republic of Rwanda':'RWA',
'Republic of The Gambia':'GMB',
'Republic of Togo':'TGO',
'Republic of the Union of Myanmar':'MMR',
'Republica Bolivariana de Venezuela':'VEN',
'Sint Maarten':'SXM',
"Socialist People's Libyan Arab Jamahiriy":'LBY',
'Socialist Republic of Vietnam':'VNM',
'Somali Democratic Republic':'SOM',
'South Asia':'SAS',
'St. Kitts and Nevis':'KNA',
'St. Lucia':'LCA',
'St. Vincent and the Grenadines':'VCT',
'State of Eritrea':'ERI',
'The Independent State of Papua New Guine':'PNG',
'West Bank and Gaza':'PSE',
'World':'WLD'}
# Next, update the project_country_abbrev_dict variable with these new values.
# TODO: Update the project_country_abbrev_dict with the country_not_found_mapping dictionary
# HINT: This is relatively straightforward. Python dictionaries have a method called update(), which essentially
# appends a dictionary to another dictionary
project_country_abbrev_dict.update(country_not_found_mapping)
project_country_abbrev_dict
defaultdict(str,
{'American Samoa': 'ASM',
'Antigua and Barbuda': 'ATG',
'Arab Republic of Egypt': 'EGY',
'Argentine Republic': 'ARG',
'Barbados': 'BRB',
'Belize': 'BLZ',
'Bosnia and Herzegovina': 'BIH',
'Burkina Faso': 'BFA',
'Central African Republic': 'CAF',
'Commonwealth of Dominica': 'DMA',
'Commonwealth of The Bahamas': 'BHS',
'Czech Republic': 'CZE',
'Democratic Republic of Timor-Leste': 'TLS',
'Dominican Republic': 'DOM',
'Federal Democratic Republic of Ethiopia': 'ETH',
'Federal Republic of Nigeria': 'NGA',
'Federated States of Micronesia': 'FSM',
'Federative Republic of Brazil': 'BRA',
'French Republic': 'FRA',
'Gabonese Republic': 'GAB',
'Georgia': 'GEO',
'Grand Duchy of Luxembourg': 'LUX',
'Grenada': 'GRD',
'Hashemite Kingdom of Jordan': 'JOR',
'Hellenic Republic': 'GRC',
'Hungary': 'HUN',
'Ireland': 'IRL',
'Islamic Republic of Iran': 'IRN',
'Islamic Republic of Mauritania': 'MRT',
'Islamic Republic of Pakistan': 'PAK',
'Italian Republic': 'ITA',
'Jamaica': 'JAM',
'Japan': 'JPN',
'Kingdom of Belgium': 'BEL',
'Kingdom of Bhutan': 'BTN',
'Kingdom of Cambodia': 'KHM',
'Kingdom of Denmark': 'DNK',
'Kingdom of Lesotho': 'LSO',
'Kingdom of Morocco': 'MAR',
'Kingdom of Norway': 'NOR',
'Kingdom of Spain': 'ESP',
'Kingdom of Thailand': 'THA',
'Kingdom of Tonga': 'TON',
'Kingdom of the Netherlands': 'NLD',
'Kyrgyz Republic': 'KGZ',
"Lao People's Democratic Republic": 'LAO',
'Lebanese Republic': 'LBN',
'Malaysia': 'MYS',
'Mongolia': 'MNG',
'Montenegro': 'MNE',
'Nepal': 'NPL',
'New Zealand': 'NZL',
"People's Democratic Republic of Algeria": 'DZA',
"People's Republic of Bangladesh": 'BGD',
"People's Republic of China": 'CHN',
'Plurinational State of Bolivia': 'BOL',
'Portuguese Republic': 'PRT',
'Republic of Albania': 'ALB',
'Republic of Angola': 'AGO',
'Republic of Armenia': 'ARM',
'Republic of Austria': 'AUT',
'Republic of Azerbaijan': 'AZE',
'Republic of Belarus': 'BLR',
'Republic of Benin': 'BEN',
'Republic of Botswana': 'BWA',
'Republic of Bulgaria': 'BGR',
'Republic of Burundi': 'BDI',
'Republic of Cabo Verde': 'CPV',
'Republic of Cameroon': 'CMR',
'Republic of Chad': 'TCD',
'Republic of Chile': 'CHL',
'Republic of Colombia': 'COL',
'Republic of Costa Rica': 'CRI',
'Republic of Croatia': 'HRV',
'Republic of Cyprus': 'CYP',
'Republic of Djibouti': 'DJI',
'Republic of Ecuador': 'ECU',
'Republic of El Salvador': 'SLV',
'Republic of Equatorial Guinea': 'GNQ',
'Republic of Estonia': 'EST',
'Republic of Fiji': 'FJI',
'Republic of Finland': 'FIN',
'Republic of Ghana': 'GHA',
'Republic of Guatemala': 'GTM',
'Republic of Guinea': 'GIN',
'Republic of Guinea-Bissau': 'GNB',
'Republic of Haiti': 'HTI',
'Republic of Honduras': 'HND',
'Republic of Iceland': 'ISL',
'Republic of India': 'IND',
'Republic of Indonesia': 'IDN',
'Republic of Iraq': 'IRQ',
'Republic of Kazakhstan': 'KAZ',
'Republic of Kenya': 'KEN',
'Republic of Kiribati': 'KIR',
'Republic of Latvia': 'LVA',
'Republic of Liberia': 'LBR',
'Republic of Lithuania': 'LTU',
'Republic of Madagascar': 'MDG',
'Republic of Malawi': 'MWI',
'Republic of Maldives': 'MDV',
'Republic of Mali': 'MLI',
'Republic of Malta': 'MLT',
'Republic of Mauritius': 'MUS',
'Republic of Moldova': 'MDA',
'Republic of Mozambique': 'MOZ',
'Republic of Namibia': 'NAM',
'Republic of Nicaragua': 'NIC',
'Republic of Palau': 'PLW',
'Republic of Panama': 'PAN',
'Republic of Paraguay': 'PRY',
'Republic of Peru': 'PER',
'Republic of Poland': 'POL',
'Republic of Senegal': 'SEN',
'Republic of Serbia': 'SRB',
'Republic of Seychelles': 'SYC',
'Republic of Sierra Leone': 'SLE',
'Republic of Singapore': 'SGP',
'Republic of Slovenia': 'SVN',
'Republic of South Africa': 'ZAF',
'Republic of South Sudan': 'SSD',
'Republic of Suriname': 'SUR',
'Republic of Tajikistan': 'TJK',
'Republic of The Gambia': 'GMB',
'Republic of Trinidad and Tobago': 'TTO',
'Republic of Tunisia': 'TUN',
'Republic of Turkey': 'TUR',
'Republic of Uganda': 'UGA',
'Republic of Uzbekistan': 'UZB',
'Republic of Vanuatu': 'VUT',
'Republic of Yemen': 'YEM',
'Republic of Zambia': 'ZMB',
'Republic of Zimbabwe': 'ZWE',
'Republic of the Marshall Islands': 'MHL',
'Republic of the Philippines': 'PHL',
'Republic of the Sudan': 'SDN',
'Romania': 'ROU',
'Russian Federation': 'RUS',
'Samoa': 'WSM',
'Slovak Republic': 'SVK',
'Solomon Islands': 'SLB',
'State of Israel': 'ISR',
'Sultanate of Oman': 'OMN',
'Syrian Arab Republic': 'SYR',
'Taiwan': 'TWN',
'Turkmenistan': 'TKM',
'Tuvalu': 'TUV',
'Ukraine': 'UKR',
'Union of the Comoros': 'COM',
'United Mexican States': 'MEX',
'United Republic of Tanzania': 'TZA',
'Co-operative Republic of Guyana': 'GUY',
'Commonwealth of Australia': 'AUS',
'Democratic Republic of Sao Tome and Prin': 'STP',
'Democratic Republic of the Congo': 'COD',
'Democratic Socialist Republic of Sri Lan': 'LKA',
'East Asia and Pacific': 'EAS',
'Europe and Central Asia': 'ECS',
'Islamic Republic of Afghanistan': 'AFG',
'Latin America': 'LCN',
'Caribbean': 'LCN',
'Macedonia': 'MKD',
'Middle East and North Africa': 'MEA',
'Oriental Republic of Uruguay': 'URY',
'Republic of Congo': 'COG',
"Republic of Cote d'Ivoire": 'CIV',
'Republic of Korea': 'KOR',
'Republic of Niger': 'NER',
'Republic of Kosovo': 'XKX',
'Republic of Rwanda': 'RWA',
'Republic of Togo': 'TGO',
'Republic of the Union of Myanmar': 'MMR',
'Republica Bolivariana de Venezuela': 'VEN',
'Sint Maarten': 'SXM',
"Socialist People's Libyan Arab Jamahiriy": 'LBY',
'Socialist Republic of Vietnam': 'VNM',
'Somali Democratic Republic': 'SOM',
'South Asia': 'SAS',
'St. Kitts and Nevis': 'KNA',
'St. Lucia': 'LCA',
'St. Vincent and the Grenadines': 'VCT',
'State of Eritrea': 'ERI',
'The Independent State of Papua New Guine': 'PNG',
'West Bank and Gaza': 'PSE',
'World': 'WLD'})
Next, create a 'Country Code' column in the data_projects data frame. Use the project_country_abbrev_dict and df_projects['Country Name'] column to create a new columns called 'Country 'Code'.
# TODO: Use the project_country_abbrev_dict and the df_projects['Country Name'] column to make a new column
# of the alpha-3 country codes. This new column should be called 'Country Code'.
# HINT: Use the apply method and a lambda function
# HINT: The lambda function will use the project_country_abbrev_dict that maps the country name to the ISO code
# https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.apply.html
df_projects['Country Code'] = df_projects['Official Country Name'].apply(lambda x: project_country_abbrev_dict[x])
# Run this code cell to see which projects in the df_projects data frame still have no country code abbreviation.
# In other words, these projects do not have a matching population value in the df_indicator data frame.
df_projects[df_projects['Country Code'] == '']
| id | regionname | countryname | prodline | lendinginstr | lendinginstrtype | envassesmentcategorycode | supplementprojectflg | productlinetype | projectstatusdisplay | status | project_name | boardapprovaldate | board_approval_month | closingdate | lendprojectcost | ibrdcommamt | idacommamt | totalamt | grantamt | borrower | impagency | url | projectdoc | majorsector_percent | sector1 | sector2 | sector3 | sector4 | sector5 | sector | mjsector1 | mjsector2 | mjsector3 | mjsector4 | mjsector5 | mjsector | theme1 | theme2 | theme3 | theme4 | theme5 | theme | goal | financier | mjtheme1name | mjtheme2name | mjtheme3name | mjtheme4name | mjtheme5name | location | GeoLocID | GeoLocName | Latitude | Longitude | Country | Official Country Name | Country Code | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | P166648 | Africa | Central Africa;Central Africa | RE | Investment Project Financing | IN | B | N | L | Active | Active | Strengthening DRM Capacity in ECCAS | 2018-06-22T00:00:00Z | June | NaN | 1,270,000 | 0 | 0 | 0 | 1,270,000 | NaN | NaN | http://projects.worldbank.org/P166648?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central Africa | |
| 39 | P163752 | Africa | Africa;Africa | PE | Investment Project Financing | IN | A | N | L | Active | Active | AFCC2/RI-3A Tanzania-Zambia Transmission Inter... | 2018-06-18T00:00:00Z | June | 2024-06-28T00:00:00Z | 605,000,000 | 0 | 465,000,000 | 465,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P163752?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 58 | P164728 | Africa | Africa;Africa | PE | Investment Project Financing | IN | NaN | Y | L | Active | Active | Africa Region - Improved Investment Climate wi... | 2018-06-08T00:00:00Z | June | NaN | 15,000,000 | 0 | 15,000,000 | 15,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P164728?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 69 | P161329 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | West Africa Unique Identification for Regional... | 2018-06-05T00:00:00Z | June | 2024-07-03T00:00:00Z | 122,100,000 | 0 | 122,100,000 | 122,100,000 | 0 | NaN | NaN | http://projects.worldbank.org/P161329?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 103 | P164468 | East Asia and Pacific | Pacific Islands;Pacific Islands | PE | Investment Project Financing | IN | NaN | Y | L | Active | Active | Pacific Aviation Safety Office Reform Project ... | 2018-05-23T00:00:00Z | May | NaN | 3,550,000 | 0 | 3,550,000 | 3,550,000 | 0 | NaN | NaN | http://projects.worldbank.org/P164468?lang=en | NaN | NaN | Public Administration - Transportation!$!75!$!TF | Aviation!$!14!$!TV | ICT Infrastructure!$!11!$!CI | NaN | NaN | Public Administration - Transportation;Public ... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Transportation;I... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0002134431!$!Republic of Vanuatu!$!-16!$!167!$... | 0002134431;0002135171 | Republic of Vanuatu;Port-Vila | -16;-17.73381 | 167;168.32188 | VU;VU | Pacific Islands | |
| 123 | P161163 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Regional Disease Surveillance Systems Enhancem... | 2018-05-07T00:00:00Z | May | 2024-03-31T00:00:00Z | 120,000,000 | 0 | 120,000,000 | 120,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P161163?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | IDA62340;IDA62340;IDA62350;IDA62360;IDAD3120;I... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 124 | P161368 | Africa | Africa;Africa | PE | Investment Project Financing | IN | C | N | L | Active | Active | Strengthening the Capacity of Regional Financi... | 2018-05-04T00:00:00Z | May | 2023-07-04T00:00:00Z | 35,000,000 | 0 | 35,000,000 | 35,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P161368?lang=en | NaN | NaN | Public Administration - Financial Sector!$!9!$!FP | Banking Institutions!$!74!$!FA | Other Non-bank Financial Institutions!$!6!$!FL | Capital Markets!$!11!$!FK | NaN | Public Administration - Financial Sector;Publi... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector;Financial Se... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | IDA62290;IDA62290;IDAD3030 | NaN | NaN | NaN | NaN | NaN | 0000239880!$!Central African Republic!$!7!$!21... | 0000239880;0002233387;0002260494;0002309096;00... | Central African Republic;Republic of Cameroon;... | 7;6;-1;1.7;-1;15 | 21;12.5;15.5;10.5;11.75;19 | CF;CM;CG;GQ;GA;TD | Africa | |
| 139 | P161836 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | Y | L | Active | Active | Burkina Faso - West Africa Regional Communicat... | 2018-04-25T00:00:00Z | April | NaN | 20,990,000 | 0 | 20,000,000 | 20,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P161836?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 157 | P162337 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | A | N | L | Active | Active | West Africa Coastal Areas Resilience Investmen... | 2018-04-09T00:00:00Z | April | 2023-12-31T00:00:00Z | 221,700,000 | 0 | 190,000,000 | 190,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P162337?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | IDA62120;IDA62120;IDA62130;IDA62140;IDA62150;I... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 158 | P163945 | Africa | Western Africa;Western Africa | GE | Investment Project Financing | IN | NaN | Y | L | Active | Active | Investments towards Resilient Management of GCLME | 2018-04-09T00:00:00Z | April | NaN | NaN | 0 | 0 | 0 | 20,250,000 | NaN | NaN | http://projects.worldbank.org/P163945?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 228 | P160703 | Africa | Western Africa;Western Africa | RE | Investment Project Financing | IN | C | N | L | Active | Active | CLEAR Center for Francophone Africa Phase 2 | 2018-02-08T00:00:00Z | February | NaN | 1,340,000 | 0 | 0 | 0 | 1,340,000 | NaN | NaN | http://projects.worldbank.org/P160703?lang=en | NaN | NaN | Central Government (Central Agencies)!$!100!$!BC | NaN | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0002245662!$!Republic of Senegal!$!14.5!$!-14.... | 0002245662;0002253350;0002287781;0002395170;00... | Republic of Senegal;Dakar;Republic of Cote d'I... | 14.5;14.76667;8;9.5;18 | -14.25;-17.28333;-5.5;2.25;9 | SN;SN;CI;BJ;NE | Western Africa | |
| 229 | P162044 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Active | Active | Smart Africa Alliance/Korea Partnership | 2018-02-08T00:00:00Z | February | NaN | 700,000 | 0 | 0 | 0 | 700,000 | NaN | NaN | http://projects.worldbank.org/P162044?lang=en | NaN | NaN | ICT Services!$!100!$!CS | NaN | NaN | NaN | NaN | ICT Services;ICT Services | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0000049518!$!Republic of Rwanda!$!-2!$!30!$!RW... | 0000049518;0000192950;0000223816;0000226074;00... | Republic of Rwanda;Republic of Kenya;Republic ... | -2;1;11.83333;1.25;14.5;8;12.5;-1;10.83333;15;... | 30;38;42.5;32.5;-14.25;-5.5;-1.66667;11.75;-10... | RW;KE;DJ;UG;SN;CI;BF;GA;GN;TD;ML;AO;SS | Africa | |
| 298 | P154482 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | A | N | L | Active | Active | Sahel Irrigation Initiative Support Project | 2017-12-05T00:00:00Z | December | 2024-03-31T00:00:00Z | 197,250,000 | 0 | 170,000,000 | 170,000,000 | 0 | L | CILSS ITE | http://projects.worldbank.org/P154482?lang=en | NaN | NaN | Irrigation and Drainage!$!85!$!AI | ICT Infrastructure!$!4!$!CI | Public Administration - Agriculture; Fishing &... | NaN | NaN | Irrigation and Drainage;Irrigation and Drainag... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Water resource management!$!30!$!85 | Land administration and management!$!10!$!83 | Climate change!$!10!$!81 | Rural services and infrastructure!$!40!$!78 | Regional integration!$!10!$!47 | NaN | Global Public Goods Priorities|Millennium Deve... | IDA61590;IDA61590;IDA61600;IDA61610;IDA61620;I... | NaN | NaN | NaN | NaN | NaN | 0000242048!$!Salamat Region!$!11!$!20.5!$!TD;0... | 0000242048;0000242246;0000244877;0002245662;00... | Salamat Region;Ouaddai Region;Wadi Fira Region... | 11;13.5;15;14.5;13;12.75;11.33333;12.98333;12.... | 20.5;21.25;21.5;-14.25;-14.41667;-15.5;-4.25;-... | TD;TD;TD;SN;SN;SN;BF;BF;BF;MR;MR;MR;MR;MR;MR;M... | Western Africa | |
| 322 | P163033 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | NaN | Y | L | Active | Active | WAPP-APL4 (Phase 1): Côte d'Ivoire Liberi... | 2017-11-17T00:00:00Z | November | NaN | 126,980,000 | 0 | 122,380,000 | 122,380,000 | 0 | NaN | NaN | http://projects.worldbank.org/P163033?lang=en | NaN | NaN | Energy Transmission and Distribution!$!88!$!LT | Other Energy and Extractives!$!6!$!LZ | Renewable Energy Hydro!$!6!$!LH | NaN | NaN | Energy Transmission and Distribution;Energy Tr... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0002272790!$!New Yekepa!$!7.57944!$!-8.53778!$... | 0002272790;0002274895;0002275384;0002278158;00... | New Yekepa;Monrovia;Republic of Liberia;Buchan... | 7.57944;6.30054;6.5;5.88109;8;8.5;9.49689;9.04... | -8.53778;-10.7969;-9.5;-10.04472;-5.5;-11.5;-1... | LR;LR;LR;LR;CI;SL;SL;SL;GN;GN;SL;SL;SL;SL | Western Africa | |
| 328 | P163486 | Africa | Southern Africa;Southern Africa | RE | Investment Project Financing | IN | NaN | N | L | Active | Active | STRENGTHENING DRR COORDINATION; PLANNING AND ... | 2017-11-12T00:00:00Z | November | NaN | 1,250,000 | 0 | 0 | 0 | 1,250,000 | NaN | NaN | http://projects.worldbank.org/P163486?lang=en | NaN | NaN | Other Public Administration!$!100!$!BZ | NaN | NaN | NaN | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0000149590!$!United Republic of Tanzania!$!-6!... | 0000149590;0000203312;0000241170;0000878675;00... | United Republic of Tanzania;Democratic Republi... | -6;-2.5;-4.58333;-19;-14.33333;-12.23333;-13.5... | 35;23.5;55.66667;29.75;28.5;44.44553;34;28.25;... | TZ;CD;SC;ZW;ZM;KM;MW;LS;BW;MU;SZ;ZA;MZ;MG;AO;NA | Southern Africa | |
| 354 | P155642 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Third South West Indian Ocean Fisheries Govern... | 2017-09-29T00:00:00Z | September | 2023-06-30T00:00:00Z | 15,290,000 | 5,000,000 | 0 | 5,000,000 | 0 | EPULIC | IIST | http://projects.worldbank.org/P155642?lang=en | NaN | NaN | Fisheries!$!80!$!AF | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | Fisheries;Fisheries;Public Administration - Ag... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Micro; Small and Medium Enterprise support!$!2... | Climate change!$!10!$!81 | Other environment and natural resources manage... | Biodiversity!$!25!$!80 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IBRD87790;IBRD87790 | NaN | NaN | NaN | NaN | NaN | 0000241170!$!Republic of Seychelles!$!-4.58333... | 0000241170 | Republic of Seychelles | -4.58333 | 55.66667 | SC | Africa | |
| 355 | P158137 | Africa | Africa;Africa | GE | Investment Project Financing | IN | B | N | L | Active | Active | Third South West Indian Ocean Fisheries Govern... | 2017-09-29T00:00:00Z | September | 2023-06-30T00:00:00Z | NaN | 0 | 0 | 0 | 5,290,000 | EPULIC | IIST | http://projects.worldbank.org/P158137?lang=en | NaN | NaN | Fisheries!$!80!$!AF | Public Administration - Agriculture; Fishing &... | Tourism!$!16!$!YT | NaN | NaN | Fisheries;Fisheries;Public Administration - Ag... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Micro; Small and Medium Enterprise support!$!2... | Climate change!$!10!$!81 | Other environment and natural resources manage... | Biodiversity!$!25!$!80 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000241170!$!Republic of Seychelles!$!-4.58333... | 0000241170;0000241210 | Republic of Seychelles;Praslin Island | -4.58333;-4.32146 | 55.66667;55.72394 | SC;SC | Africa | |
| 359 | P163800 | Africa | Africa;Africa | GU | NaN | NaN | B | Y | L | Active | Active | SWIOFish3 (Seychelles) | 2017-09-29T00:00:00Z | September | NaN | 5,000,000 | 5,000,000 | 0 | 5,000,000 | 0 | IIST | IIST | http://projects.worldbank.org/P163800?lang=en | NaN | NaN | Fisheries!$!100!$!AF | NaN | NaN | NaN | NaN | Fisheries;Fisheries | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | IBRDG2530;IBRDG2530 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 365 | P161265 | Africa | Africa;Africa | RE | Investment Project Financing | IN | B | N | L | Active | Active | Engaging Private Sector for Green Growth in t... | 2017-09-28T00:00:00Z | September | 2019-12-31T00:00:00Z | 3,650,000 | 0 | 0 | 0 | 3,650,000 | NaN | NaN | http://projects.worldbank.org/P161265?lang=en | NaN | NaN | Other Industry; Trade and Services!$!88!$!YZ | Agricultural markets; commercialization and ag... | NaN | NaN | NaN | Other Industry; Trade and Services;Other Indus... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0000049518!$!Republic of Rwanda!$!-2!$!30!$!RW... | 0000049518;0000149590;0000192950;0000226074;00... | Republic of Rwanda;United Republic of Tanzania... | -2;-6;1;1.25;-3.5 | 30;35;38;32.5;30 | RW;TZ;KE;UG;BI | Africa | |
| 366 | P161658 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | F | N | L | Active | Active | WAEMU Affordable Housing Finance | 2017-09-28T00:00:00Z | September | 2022-12-31T00:00:00Z | 155,000,000 | 0 | 155,000,000 | 155,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P161658?lang=en | NaN | NaN | Housing Construction!$!9!$!YH | Other Non-bank Financial Institutions!$!39!$!FL | Capital Markets!$!26!$!FK | Banking Institutions!$!26!$!FA | NaN | Housing Construction;Housing Construction;Othe... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | IDA61410;IDA61410;IDAD2360 | NaN | NaN | NaN | NaN | NaN | 0002245662!$!Republic of Senegal!$!14.5!$!-14.... | 0002245662;0002287781;0002361809;0002363686;00... | Republic of Senegal;Republic of Cote d'Ivoire;... | 14.5;8;12.5;8.66667;12;9.5;18;18 | -14.25;-5.5;-1.66667;1.08333;-15;2.25;9;-2 | SN;CI;BF;TG;GW;BJ;NE;ML | Western Africa | |
| 370 | P159653 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | GE | Investment Project Financing | IN | B | N | L | Active | Active | Caribbean Regional Oceanscape Project | 2017-09-25T00:00:00Z | September | 2021-12-31T00:00:00Z | 6,300,000 | 0 | 0 | 0 | 6,300,000 | NaN | NaN | http://projects.worldbank.org/P159653?lang=en | NaN | NaN | Other Public Administration!$!100!$!BZ | NaN | NaN | NaN | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Other environment and natural resources manage... | Other economic management!$!40!$!24 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0003575174!$!Federation of Saint Kitts and Nev... | 0003575174;0003575830;0003576468;0003577815;00... | Federation of Saint Kitts and Nevis;Dominica;S... | 17.33333;15.5;13.88333;13.08333;12.11667 | -62.75;-61.33333;-60.96667;-61.2;-61.66667 | KN;DM;LC;VC;GD | Organization of Eastern Caribbean States | |
| 390 | P163187 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Active | Active | Regional Program of Cancer Registries | 2017-08-24T00:00:00Z | August | 2019-05-01T00:00:00Z | 500,000 | 0 | 0 | 0 | 500,000 | NaN | NaN | http://projects.worldbank.org/P163187?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 418 | P163895 | Africa | Central Africa;Central Africa | PE | Investment Project Financing | IN | C | Y | L | Active | Active | Great Lakes Region Displaced Persons and Borde... | 2017-07-25T00:00:00Z | July | NaN | 3,000,000 | 0 | 3,000,000 | 3,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P163895?lang=en | NaN | NaN | Social Protection!$!60!$!SA | Public Administration - Social Protection!$!40... | NaN | NaN | NaN | Social Protection;Social Protection;Public Adm... | NaN | NaN | NaN | NaN | NaN | Social Protection;Social Protection;Social Pro... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0000895949!$!Republic of Zambia!$!-14.33333!$!... | 0000895949 | Republic of Zambia | -14.33333 | 28.5 | ZM | Central Africa | |
| 532 | P163830 | Africa | Eastern Africa;Eastern Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Somalia Emergency Drought Response and Recover... | 2017-05-30T00:00:00Z | May | 2018-09-30T00:00:00Z | 50,000,000 | 0 | 50,000,000 | 50,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P163830?lang=en | NaN | NaN | Public Administration - Social Protection!$!7!... | Other Water Supply; Sanitation and Waste Manag... | Health!$!5!$!HG | Social Protection!$!44!$!SA | Other Agriculture; Fishing and Forestry!$!37!$!AZ | Public Administration - Social Protection;Publ... | NaN | NaN | NaN | NaN | NaN | Social Protection;Social Protection;Water; San... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | IDAD2110;IDAD2110;IDAD2120 | NaN | NaN | NaN | NaN | NaN | 0000050351!$!Xaafuun!$!10.4219!$!51.2549!$!SO;... | 0000050351;0000050360;0000050672;0000051537;00... | Xaafuun;Gobolka Woqooyi Galbeed;Wanlaweyn;Soma... | 10.4219;10;2.6185;6;1.83333;3;11.3539;9.50506;... | 51.2549;44.5;44.8938;48;44.41667;46;43.4731;49... | SO;SO;SO;SO;SO;SO;SO;SO;SO;SO;SO;SO;SO;SO;SO;S... | Eastern Africa | |
| 541 | P158958 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | PE | Investment Project Financing | IN | B | N | L | Active | Active | OECS Regional Agriculture Competitiveness Project | 2017-05-25T00:00:00Z | May | 2023-05-31T00:00:00Z | 9,660,000 | 1,800,000 | 6,500,000 | 8,300,000 | 0 | NaN | NaN | http://projects.worldbank.org/P158958?lang=en | NaN | NaN | Agricultural markets; commercialization and ag... | Agricultural Extension; Research; and Other Su... | Public Administration - Industry; Trade and Se... | NaN | NaN | Agricultural markets; commercialization and ag... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | Rural non-farm income generation!$!20!$!76 | Rural markets!$!30!$!75 | Rural services and infrastructure!$!20!$!78 | Micro; Small and Medium Enterprise support!$!2... | Trade facilitation and market access!$!10!$!49 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IBRD87580;IBRD87580;IDA60630;IDA60640 | NaN | NaN | NaN | NaN | NaN | 0003577815!$!Saint Vincent and the Grenadines!... | 0003577815;0003577818;0003577819;0003577821;00... | Saint Vincent and the Grenadines;Parish of Sai... | 13.08333;13.23333;13.16667;13.3;13.2;12.83333;... | -61.2;-61.23333;-61.2;-61.2;-61.23333;-61.25;-... | VC;VC;VC;VC;VC;VC;VC;GD;GD;GD;GD;GD;GD;GD;GD | Organization of Eastern Caribbean States | |
| 542 | P160488 | Africa | Eastern Africa;Eastern Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | LAKE VICTORIA TRANSPORT PROGRAM - SOP1; RWANDA | 2017-05-25T00:00:00Z | May | 2023-12-31T00:00:00Z | 104,000,000 | 0 | 81,000,000 | 81,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P160488?lang=en | NaN | NaN | Rural and Inter-Urban Roads!$!92!$!TI | Public Administration - Transportation!$!8!$!TF | NaN | NaN | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Transportation | Gender!$!5!$!59 | Climate change!$!5!$!81 | Regional integration!$!80!$!47 | Rural markets!$!10!$!75 | NaN | NaN | Corporate Advocacy Priorities|Millennium Devel... | IDA60430;IDA60430 | NaN | NaN | NaN | NaN | NaN | 0000202562!$!Ngeruka!$!-2.3001!$!30.128!$!RW;0... | 0000202562;0007016396;0007016806;0007320018;00... | Ngeruka;Ruhuha;Kigoma;Kibugabuga;Busoro;Mayang... | -2.3001;-2.6112;-2.5124;-1.548;-1.7444;-1.5485... | 30.128;29.5955;29.7355;29.7039;29.6332;30.2186... | RW;RW;RW;RW;RW;RW;RW;RW;RW;RW;RW;RW;RW;RW;RW;R... | Eastern Africa | |
| 557 | P147921 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | OMVS - TRANSMISSION EXPANSION PROJECT | 2017-05-12T00:00:00Z | May | 2020-12-31T00:00:00Z | 103,000,000 | 0 | 97,000,000 | 97,000,000 | 0 | ALI AU | AT | http://projects.worldbank.org/P147921?lang=en | NaN | NaN | Energy Transmission and Distribution!$!86!$!LT | Public Administration - Energy and Extractives... | NaN | NaN | NaN | Energy Transmission and Distribution;Energy Tr... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Regional integration!$!100!$!47 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA60330;IDA60330 | NaN | NaN | NaN | NaN | NaN | 0002244990!$!Tambacounda!$!13.91667!$!-13.25!$... | 0002244990;0002453866;0002455517 | Tambacounda;Republic of Mali;Kayes Region | 13.91667;18;13.9 | -13.25;-2;-10.1 | SN;ML;ML | Western Africa | |
| 558 | P158363 | Africa | Western Africa;Western Africa | RE | Investment Project Financing | IN | C | N | L | Active | Active | West African Medicines Regulatory Harmonization | 2017-05-12T00:00:00Z | May | 2020-05-14T00:00:00Z | 3,000,000 | 0 | 0 | 0 | 3,000,000 | NaN | NaN | http://projects.worldbank.org/P158363?lang=en | NaN | NaN | Health!$!67!$!HG | Public Administration - Health!$!33!$!HF | NaN | NaN | NaN | Health;Health;Public Administration - Health | NaN | NaN | NaN | NaN | NaN | Health;Health;Health | Health system performance!$!100!$!67 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0002245662!$!Republic of Senegal!$!14.5!$!-14.... | 0002245662;0002275384;0002287781;0002300660;00... | Republic of Senegal;Republic of Liberia;Republ... | 14.5;6.5;8;8.1;1.7;10;12.5;8.66667;12;9.5;8.5;... | -14.25;-9.5;-5.5;-1.2;10.5;8;-1.66667;1.08333;... | SN;LR;CI;GH;GQ;NG;BF;TG;GW;BJ;SL;GM;NE;ML;CV | Western Africa | |
| 568 | P163699 | East Asia and Pacific | Pacific Islands;Pacific Islands | PE | Investment Project Financing | IN | B | N | L | Active | Active | Pacific Resilience Project II under the Pacifi... | 2017-05-09T00:00:00Z | May | 2022-11-30T00:00:00Z | 4,000,000 | 0 | 4,000,000 | 4,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P163699?lang=en | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Other Public Administration!$!42!$!BZ | NaN | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | IDAD1820;IDAD1820 | NaN | NaN | NaN | NaN | NaN | 0002080185!$!Republic of the Marshall Islands!... | 0002080185;0002080283;0002080611;0007303505 | Republic of the Marshall Islands;Kwajalein Ato... | 7.113;9.182;8.78601;7.15 | 171.236;167.309;167.73647;171.2 | MH;MH;MH;MH | Pacific Islands | |
| 573 | P161781 | Africa | Eastern Africa;Eastern Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Great Lakes Regional Integrated Agriculture De... | 2017-05-05T00:00:00Z | May | NaN | 79,730,000 | 0 | 75,000,000 | 75,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P161781?lang=en | NaN | NaN | Public Administration - Agriculture; Fishing &... | Livestock!$!6!$!AL | Agricultural Extension; Research; and Other Su... | Other Agriculture; Fishing and Forestry!$!3!$!AZ | Agricultural markets; commercialization and ag... | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0000049518!$!Republic of Rwanda!$!-2!$!30!$!RW... | 0000049518;0000149590;0000422233;0000426699;00... | Republic of Rwanda;United Republic of Tanzania... | -2;-6;-4.16667;-3.45;-3.11667;-3.21667;-2.8833... | 30;35;29.75278;30.31667;29.4;29.33333;29.25;30... | RW;TZ;BI;BI;BI;BI;BI;BI;BI;BI | Eastern Africa | |
| 601 | P162304 | Africa | Eastern Africa;Eastern Africa | RE | Investment Project Financing | IN | A | Y | L | Active | Active | Nile Cooperation for Results Project (NCORE) -... | 2017-04-27T00:00:00Z | April | NaN | 8,500,000 | 0 | 0 | 0 | 8,500,000 | ILE ASI | ILE ASI | http://projects.worldbank.org/P162304?lang=en | NaN | NaN | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | NaN | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0000049518!$!Republic of Rwanda!$!-2!$!30!$!RW... | 0000049518;0000149590;0000192950;0000203312;00... | Republic of Rwanda;United Republic of Tanzania... | -2;-6;1;-2.5;1.25;9;15;27;16;-3.5;7.5 | 30;35;38;23.5;32.5;39.5;39;30;30;30;30 | RW;TZ;KE;CD;UG;ET;ER;EG;SD;BI;SS | Eastern Africa | |
| 607 | P161067 | Africa | Eastern Africa;Eastern Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Development Response to Displacement Impacts P... | 2017-04-26T00:00:00Z | April | 2022-04-29T00:00:00Z | 103,000,000 | 0 | 103,000,000 | 103,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P161067?lang=en | NaN | NaN | Social Protection!$!44!$!SA | Sub-National Government!$!3!$!BH | Other Agriculture; Fishing and Forestry!$!24!$!AZ | Other Energy and Extractives!$!2!$!LZ | Forestry!$!17!$!AT | Social Protection;Social Protection;Sub-Nation... | NaN | NaN | NaN | NaN | NaN | Social Protection;Social Protection;Public Adm... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | IDA60210;IDA60210;IDAD1840 | NaN | NaN | NaN | NaN | NaN | 0000178440!$!Wajir District!$!1.75!$!40.01667!... | 0000178440;0000178914;0000192950;0000197744;00... | Wajir District;Turkana District;Republic of Ke... | 1.75;3;1;-0.172;-0.42094 | 40.01667;35.5;38;40.041;40.22005 | KE;KE;KE;KE;KE | Eastern Africa | |
| 632 | P152117 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | PE | Investment Project Financing | IN | B | N | L | Active | Active | OECS Regional Tourism Competitiveness | 2017-04-06T00:00:00Z | April | 2023-09-01T00:00:00Z | 26,000,000 | 6,000,000 | 20,000,000 | 26,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P152117?lang=en | NaN | NaN | Public Administration - Industry; Trade and Se... | Tourism!$!36!$!YT | Ports/Waterways!$!3!$!TP | Public Administration - Transportation!$!3!$!TF | ICT Infrastructure!$!3!$!CI | Public Administration - Industry; Trade and Se... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | IBRD87340;IBRD87340;IDA60000;IDA60010 | NaN | NaN | NaN | NaN | NaN | 0003576468!$!Saint Lucia!$!13.88333!$!-60.9666... | 0003576468;0003576662;0003576810;0003577794;00... | Saint Lucia;Laborie;Castries;Union Island;Sain... | 13.88333;13.775;14.00986;12.6;13.08333;13.1587... | -60.96667;-61;-60.97721;-61.43333;-61.2;-61.22... | LC;LC;LC;VC;VC;VC;VC;GD;GD;GD;GD;VC | Organization of Eastern Caribbean States | |
| 656 | P153370 | Africa | Southern Africa;Southern Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Second South West Indian Ocean Fisheries Gover... | 2017-03-28T00:00:00Z | March | 2023-09-29T00:00:00Z | 84,150,000 | 0 | 74,000,000 | 74,000,000 | 0 | IIST | IIST | http://projects.worldbank.org/P153370?lang=en | NaN | NaN | Fisheries!$!41!$!AF | Public Administration - Agriculture; Fishing &... | Social Protection!$!20!$!SA | NaN | NaN | Fisheries;Fisheries;Public Administration - Ag... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Environmental policies and institutions!$!34!$!82 | Other environment and natural resources manage... | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA59870;IDA59870;IDAD1720 | NaN | NaN | NaN | NaN | NaN | 0007670842!$!Diana Region!$!-13.5!$!49!$!MG;00... | 0007670842;0007670848;0007670852;0007670908;00... | Diana Region;Analanjirofo Region;Melaky Region... | -13.5;-16.5;-17.6;-23.2;-24.75 | 49;49.5;44.8;47.4;45.5 | MG;MG;MG;MG;MG | Southern Africa | |
| 658 | P159562 | Africa | Southern Africa;Southern Africa | GE | Investment Project Financing | IN | NaN | N | L | Active | Active | Second South West Indian Ocean Fisheries Gover... | 2017-03-28T00:00:00Z | March | 2023-09-29T00:00:00Z | NaN | 0 | 0 | 0 | 6,420,000 | NaN | NaN | http://projects.worldbank.org/P159562?lang=en | NaN | NaN | Fisheries!$!57!$!AF | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | Fisheries;Fisheries;Public Administration - Ag... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Environmental policies and institutions!$!34!$!82 | Other environment and natural resources manage... | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0007670842!$!Diana Region!$!-13.5!$!49!$!MG;00... | 0007670842;0007670848;0007670852;0007670908;00... | Diana Region;Analanjirofo Region;Melaky Region... | -13.5;-16.5;-17.6;-23.2;-24.75 | 49;49.5;44.8;47.4;45.5 | MG;MG;MG;MG;MG | Southern Africa | |
| 662 | P155876 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | West Africa Regional Communications Infrastruc... | 2017-03-24T00:00:00Z | March | 2022-05-31T00:00:00Z | 35,000,000 | 0 | 35,000,000 | 35,000,000 | 0 | EET | NaN | http://projects.worldbank.org/P155876?lang=en | NaN | NaN | ICT Infrastructure!$!92!$!CI | Public Administration - Information and Commun... | NaN | NaN | NaN | ICT Infrastructure;ICT Infrastructure;Public A... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Regional integration!$!40!$!47 | Infrastructure services for private sector dev... | Regulation and competition policy!$!40!$!40 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA59970;IDA59970 | NaN | NaN | NaN | NaN | NaN | 0002098444!$!Dakar!$!-3.36667!$!143.55!$!PG;00... | 0002098444;0002275384;0002309096;0002369127;00... | Dakar;Republic of Liberia;Republic of Equatori... | -3.36667;6.5;1.7;11.78333;12;20.25;8.5;1 | 143.55;-9.5;10.5;-15.78333;-15;-10.5;-11.5;7 | PG;LR;GQ;GW;GW;MR;SL;ST | Western Africa | |
| 712 | P162380 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Active | Active | Regional Support for the Oversight of Extract... | 2017-03-07T00:00:00Z | March | 2019-06-30T00:00:00Z | 500,000 | 0 | 0 | 0 | 500,000 | NaN | NaN | http://projects.worldbank.org/P162380?lang=en | NaN | NaN | Public Administration - Energy and Extractives... | Oil and Gas!$!11!$!LC | Mining!$!11!$!LM | NaN | NaN | Public Administration - Energy and Extractives... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0000203312!$!Democratic Republic of the Congo!... | 0000203312;0002233387;0002400553;0002420477;00... | Democratic Republic of the Congo;Republic of C... | -2.5;6;-1;10.83333;18 | 23.5;12.5;11.75;-10.66667;9 | CD;CM;GA;GN;NE | Africa | |
| 717 | P159040 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Regional Disease Surveillance Systems Enhancem... | 2017-03-02T00:00:00Z | March | 2024-08-31T00:00:00Z | 147,000,000 | 0 | 147,000,000 | 147,000,000 | 0 | ECAS | EST AIC | http://projects.worldbank.org/P159040?lang=en | NaN | NaN | ICT Infrastructure!$!5!$!CI | Livestock!$!33!$!AL | Health Facilities and Construction!$!32!$!HQ | Public Administration - Health!$!30!$!HF | NaN | ICT Infrastructure;ICT Infrastructure;Livestoc... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Other communicable diseases!$!40!$!64 | Rural policies and institutions!$!5!$!77 | Rural services and infrastructure!$!15!$!78 | Health system performance!$!40!$!67 | NaN | NaN | Corporate Advocacy Priorities|Global Public Go... | IDA59670;IDA59670;IDA59680;IDA59690;IDA59700;I... | NaN | NaN | NaN | NaN | NaN | 0002245662!$!Republic of Senegal!$!14.5!$!-14.... | 0002245662;0002275384;0002328926;0002363686;00... | Republic of Senegal;Republic of Liberia;Federa... | 14.5;6.5;10;8.66667;12;18 | -14.25;-9.5;8;1.08333;-15;-2 | SN;LR;NG;TG;GW;ML | Western Africa | |
| 746 | P161533 | East Asia and Pacific | Pacific Islands;Pacific Islands | RE | Investment Project Financing | IN | C | N | L | Active | Active | PCRAFI : Furthering Disaster Risk Finance in t... | 2017-02-14T00:00:00Z | February | 2021-06-30T00:00:00Z | 29,730,000 | 0 | 0 | 0 | 29,730,000 | NaN | NaN | http://projects.worldbank.org/P161533?lang=en | NaN | NaN | Insurance and Pension!$!90!$!FD | Public Administration - Financial Sector!$!10!... | NaN | NaN | NaN | Insurance and Pension;Insurance and Pension;Pu... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector;Financial Se... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0001559582!$!Republic of Palau!$!7.503!$!134.6... | 0001559582;0002080185;0002081918;0002103350;00... | Republic of Palau;Republic of the Marshall Isl... | 7.503;7.113;6.924;-8;-8.51719;-0.517;-16;-18;1... | 134.621;171.236;158.162;159;179.14478;166.933;... | PW;MH;FM;SB;TV;NR;VU;FJ;KI;TO;AS | Pacific Islands | |
| 757 | P158983 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | Y | L | Active | Active | Additional Financing for West Africa Agricultu... | 2017-02-03T00:00:00Z | February | NaN | 68,000,000 | 0 | 68,000,000 | 68,000,000 | 0 | THE EPUL | IIST | http://projects.worldbank.org/P158983?lang=en | NaN | NaN | Agricultural Extension; Research; and Other Su... | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0002363686!$!Togolese Republic!$!8.66667!$!1.0... | 0002363686;0002395170;0002420477;0002440476 | Togolese Republic;Republic of Benin;Republic o... | 8.66667;9.5;10.83333;18 | 1.08333;2.25;-10.66667;9 | TG;BJ;GN;NE | Western Africa | |
| 781 | P152528 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Investment Project Financing | IN | C | N | L | Closed | Closed | IMPROVING PUBLIC SECTOR PERFORMANCE PROJECT | 2017-01-12T00:00:00Z | January | 2021-12-30T00:00:00Z | 25,000,000 | 25,000,000 | 0 | 25,000,000 | 0 | I | IIST | http://projects.worldbank.org/P152528?lang=en | NaN | NaN | Central Government (Central Agencies)!$!100!$!BC | NaN | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | IBRD86780;IBRD86780 | NaN | NaN | NaN | NaN | NaN | 0000934841!$!Kingdom of Swaziland!$!-26.5!$!31... | 0000934841 | Kingdom of Swaziland | -26.5 | 31.5 | SZ | Kingdom of Swaziland | |
| 793 | P156759 | Africa | Western Africa;Western Africa | GE | Investment Project Financing | IN | B | Y | L | Active | Active | West Africa Region Fisheries Program AF Guinea... | 2017-01-05T00:00:00Z | January | 2021-03-01T00:00:00Z | 20,150,000 | 0 | 0 | 0 | 10,000,000 | NaN | NaN | http://projects.worldbank.org/P156759?lang=en | NaN | NaN | Fisheries!$!89!$!AF | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | Fisheries;Fisheries;Public Administration - Ag... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Infrastructure services for private sector dev... | Environmental policies and institutions!$!60!$!82 | Other public sector governance!$!15!$!30 | Rural non-farm income generation!$!10!$!76 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0002275384!$!Republic of Liberia!$!6.5!$!-9.5!... | 0002275384;0002403846;0002420477 | Republic of Liberia;Republic of Sierra Leone;R... | 6.5;8.5;10.83333 | -9.5;-11.5;-10.66667 | LR;SL;GN | Western Africa | |
| 794 | P157635 | East Asia and Pacific | Pacific Islands;Pacific Islands | RE | Investment Project Financing | IN | C | Y | L | Active | Active | Pacific Aviation Safety Office Reform Project... | 2017-01-05T00:00:00Z | January | NaN | NaN | 0 | 0 | 0 | 950,000 | PACIIC A | PACIIC A | http://projects.worldbank.org/P157635?lang=en | NaN | NaN | Public Administration - Transportation!$!83!$!TF | Aviation!$!12!$!TV | ICT Services!$!3!$!CS | Public Administration - Information and Commun... | Other Information and Communications Technolog... | Public Administration - Transportation;Public ... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Transportation;I... | Administrative and civil service reform!$!44!$!25 | Regional integration!$!56!$!47 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Pacific Islands | |
| 834 | P158333 | Africa | Africa;Africa | PE | Development Policy Lending | AD | NaN | NaN | L | Closed | Closed | Second Regional Trade Facilitation Competitive... | 2016-12-13T00:00:00Z | December | 2017-12-31T00:00:00Z | 100,000,000 | 0 | 100,000,000 | 100,000,000 | 0 | EPULIC | IIST | http://projects.worldbank.org/P158333?lang=en | NaN | NaN | Other Transportation!$!45!$!TZ | Trade!$!44!$!YY | Ports/Waterways!$!11!$!TP | NaN | NaN | Other Transportation;Other Transportation;Trad... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Industry; Trade ... | Regulation and competition policy!$!25!$!40 | Export development and competitiveness!$!10!$!45 | Trade facilitation and market access!$!50!$!49 | Social Protection and Labor Policy & Systems!$... | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA59250;IDA59250;IDA59260 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 871 | P159132 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | Y | L | Active | Active | AFCC2/RI -Additnl. Financ. for the Support to ... | 2016-11-16T00:00:00Z | November | NaN | 1,750,000 | 0 | 0 | 0 | 1,750,000 | PCA | PCA | http://projects.worldbank.org/P159132?lang=en | NaN | NaN | Other Agriculture; Fishing and Forestry!$!100!... | NaN | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Land administration and management!$!50!$!83 | Climate change!$!20!$!81 | Environmental policies and institutions!$!20!$!82 | Water resource management!$!10!$!85 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 911 | P160770 | Africa | Africa;Africa | PE | Investment Project Financing | IN | C | Y | L | Active | Active | EAC Financial Sector Development and Regionali... | 2016-09-30T00:00:00Z | September | NaN | 10,500,000 | 0 | 10,500,000 | 10,500,000 | 0 | EAST AIC | EAC SECET | http://projects.worldbank.org/P160770?lang=en | NaN | NaN | Capital Markets!$!51!$!FK | Other Non-bank Financial Institutions!$!5!$!FL | Insurance and Pension!$!17!$!FD | Banking Institutions!$!17!$!FA | Public Administration - Financial Sector!$!10!... | Capital Markets;Capital Markets;Other Non-bank... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector;Financial Se... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0000049518!$!Republic of Rwanda!$!-2!$!30!$!RW... | 0000049518;0000149590;0000192950;0000226074;00... | Republic of Rwanda;United Republic of Tanzania... | -2;-6;1;1.25;-3.5 | 30;35;38;32.5;30 | RW;TZ;KE;UG;BI | Africa | |
| 978 | P158836 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | RE | Investment Project Financing | IN | NaN | N | L | Active | Active | Support to Implementation of the Regional Educ... | 2016-07-05T00:00:00Z | July | 2019-09-30T00:00:00Z | 2,000,000 | 0 | 0 | 0 | 2,000,000 | ECS CI | ECS CI | http://projects.worldbank.org/P158836?lang=en | NaN | NaN | Primary Education!$!86!$!EP | Public Administration - Education!$!14!$!EF | NaN | NaN | NaN | Primary Education;Primary Education;Public Adm... | NaN | NaN | NaN | NaN | NaN | Education;Education;Education | Education for all!$!100!$!65 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities|Millennium Devel... | NaN | NaN | NaN | NaN | NaN | NaN | 0003575174!$!Federation of Saint Kitts and Nev... | 0003575174;0003575830;0003576396;0003576468;00... | Federation of Saint Kitts and Nevis;Dominica;A... | 17.33333;15.5;17.05;13.88333;13.08333;16.75;12... | -62.75;-61.33333;-61.8;-60.96667;-61.2;-62.2;-... | KN;DM;AG;LC;VC;MS;GD | Organization of Eastern Caribbean States | |
| 995 | P154807 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Regional Disease Surveillance Systems Enhancem... | 2016-06-28T00:00:00Z | June | 2023-01-31T00:00:00Z | 114,060,000 | 0 | 110,000,000 | 110,000,000 | 0 | ECAS | EST AIC | http://projects.worldbank.org/P154807?lang=en | NaN | NaN | Public Administration - Health!$!48!$!HF | Health!$!41!$!HG | Agricultural Extension; Research; and Other Su... | Social Protection!$!3!$!SA | NaN | Public Administration - Health;Public Administ... | NaN | NaN | NaN | NaN | NaN | Health;Health;Health;Agriculture; Fishing and ... | Other communicable diseases!$!32!$!64 | Rural services and infrastructure!$!16!$!78 | Health system performance!$!52!$!67 | NaN | NaN | NaN | Corporate Advocacy Priorities|Global Public Go... | IDA58820;IDA58820;IDA58830;IDA58840;IDAD1290;I... | NaN | NaN | NaN | NaN | NaN | 0002245662!$!Republic of Senegal!$!14.5!$!-14.... | 0002245662;0002403846;0002420477 | Republic of Senegal;Republic of Sierra Leone;R... | 14.5;8.5;10.83333 | -14.25;-11.5;-10.66667 | SN;SL;GN | Western Africa | |
| 1009 | P153863 | Africa | Western Africa;Western Africa | RE | Investment Project Financing | IN | B | N | L | Active | Active | Senegal River Basin Integrated Water Resources... | 2016-06-23T00:00:00Z | June | 2019-10-31T00:00:00Z | 12,270,000 | 0 | 0 | 0 | 12,270,000 | S | AISATI | http://projects.worldbank.org/P153863?lang=en | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Public Administration - Water; Sanitation and ... | Health!$!20!$!HG | Irrigation and Drainage!$!10!$!AI | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Gender!$!5!$!59 | Other communicable diseases!$!20!$!64 | Water resource management!$!40!$!85 | Environmental policies and institutions!$!20!$!82 | Regional integration!$!15!$!47 | NaN | Corporate Advocacy Priorities|Millennium Devel... | NaN | NaN | NaN | NaN | NaN | NaN | 0002253350!$!Dakar!$!14.76667!$!-17.283331!$!S... | 0002253350;0002377449;0002422464;0002460594 | Dakar;District de Nouakchott;Conakry Region;Ba... | 14.76667;18.1;9.6070299;12.65 | -17.283331;-15.95;-13.597;-8 | SN;MR;GN;ML | Western Africa | |
| 1014 | P143307 | Africa | Africa;Africa | PE | Investment Project Financing | IN | A | N | L | Active | Active | AFCC2/RI-Regional Great Lakes Integrated Agric... | 2016-06-21T00:00:00Z | June | 2022-11-30T00:00:00Z | 152,700,000 | 0 | 150,000,000 | 150,000,000 | 0 | C I | EET | http://projects.worldbank.org/P143307?lang=en | NaN | NaN | Other Agriculture; Fishing and Forestry!$!43!$!AZ | Agricultural markets; commercialization and ag... | Rural and Inter-Urban Roads!$!13!$!TI | Public Administration - Agriculture; Fishing &... | Public Administration - Industry; Trade and Se... | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Regional integration!$!9!$!47 | Infrastructure services for private sector dev... | Nutrition and food security!$!22!$!68 | Rural services and infrastructure!$!18!$!78 | Regulation and competition policy!$!8!$!40 | NaN | Global Public Goods Priorities|Millennium Deve... | IDA58520;IDA58520;IDAD1810 | NaN | NaN | NaN | NaN | NaN | 0000204329!$!Zone de Walungu!$!-2.63333!$!28.6... | 0000204329;0000204330;0000204405;0000205253;00... | Zone de Walungu;Walungu;Uvira;Sous-Region du T... | -2.63333;-2.6214;-3.39534;-5.93333;-3.05786;-5... | 28.66667;28.66946;29.13779;29.2;29.252;28.4311... | CD;CD;CD;CD;CD;CD;CD;CD;CD;CD;CD;CD;CD;CD;CD;C... | Africa | |
| 1028 | P156774 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Active | Active | STRENGTHENING DRR COORDINATION; PLANNING AND ... | 2016-06-16T00:00:00Z | June | 2019-06-30T00:00:00Z | 1,290,000 | 0 | 0 | 0 | 1,290,000 | NaN | NaN | http://projects.worldbank.org/P156774?lang=en | NaN | NaN | Other Public Administration!$!54!$!BZ | Social Protection!$!22!$!SA | Other Water Supply; Sanitation and Waste Manag... | Other Transportation!$!4!$!TZ | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;So... | Natural disaster management!$!100!$!52 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0002352776!$!Federal Capital Territory!$!8.833... | 0002352776 | Federal Capital Territory | 8.8333302 | 7.1666698 | NG | Africa | |
| 1059 | P152822 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Development Response to Displacement Impacts P... | 2016-05-31T00:00:00Z | May | 2021-12-31T00:00:00Z | 175,000,000 | 0 | 175,000,000 | 175,000,000 | 0 | ETHIPIA | NaN | http://projects.worldbank.org/P152822?lang=en | NaN | NaN | Social Protection!$!66!$!SA | Other Agriculture; Fishing and Forestry!$!15!$!AZ | Public Administration - Social Protection!$!8!... | Sub-National Government!$!7!$!BH | Other Energy and Extractives!$!4!$!LZ | Social Protection;Social Protection;Other Agri... | NaN | NaN | NaN | NaN | NaN | Social Protection;Social Protection;Agricultur... | Conflict prevention and post-conflict reconstr... | Other social development!$!23!$!62 | Climate change!$!6!$!81 | Other environment and natural resources manage... | Decentralization!$!8!$!26 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA58210;IDA58210;IDA58320;IDA58330;IDAD1200 | NaN | NaN | NaN | NaN | NaN | 0000222596!$!Holhol!$!11.31028!$!42.92944!$!DJ... | 0000222596;0000225834;0000226579;0000226660;00... | Holhol;Dzaipi;Rushasha;Rugaga;Rigbo;Ngarama;Ki... | 11.31028;3.39263;-0.58333;-0.88333;3.0496;-0.9... | 42.92944;31.95588;30.51667;30.86667;31.42095;3... | DJ;UG;UG;UG;UG;UG;UG;ET;ET;ET;ET;ET;ET;ET;ET;E... | Africa | |
| 1060 | P154495 | Africa | Africa;Africa | RE | Investment Project Financing | IN | NaN | N | L | Active | Active | AFCC2/RI Second Energy Small &Medium Enterpris... | 2016-05-31T00:00:00Z | May | 2018-08-31T00:00:00Z | 3,230,000 | 0 | 0 | 0 | 3,230,000 | EP ITE | EP ITE | http://projects.worldbank.org/P154495?lang=en | NaN | NaN | Banking Institutions!$!19!$!FA | Other Non-bank Financial Institutions!$!6!$!FL | Health!$!25!$!HG | Renewable Energy Biomass!$!6!$!LB | Renewable Energy Geothermal!$!6!$!LI | Banking Institutions;Banking Institutions;Othe... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector;Financial Se... | Other social development!$!20!$!62 | Micro; Small and Medium Enterprise support!$!3... | Other environment and natural resources manage... | Rural services and infrastructure!$!25!$!78 | Other human development!$!15!$!70 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000160260!$!Dar es Salaam Region!$!-6.8352299... | 0000160260;0000184742;0000232422;0002253350 | Dar es Salaam Region;Nairobi Province;Kampala;... | -6.8352299;-1.28333;0.31628001;14.76667 | 39.195969;36.833328;32.582191;-17.283331 | TZ;KE;UG;SN | Africa | |
| 1068 | P152821 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2/RI-GLR: Displaced Persons & Border Commu... | 2016-05-27T00:00:00Z | May | 2021-12-31T00:00:00Z | 20,000,000 | 0 | 20,000,000 | 20,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P152821?lang=en | NaN | NaN | Social Protection!$!75!$!SA | Public Administration - Social Protection!$!25... | NaN | NaN | NaN | Social Protection;Social Protection;Public Adm... | NaN | NaN | NaN | NaN | NaN | Social Protection;Social Protection;Social Pro... | Other social protection and risk management!$!... | Conflict prevention and post-conflict reconstr... | Other social development!$!50!$!62 | Improving labor markets!$!5!$!51 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA58150;IDA58150;IDAD2300 | NaN | NaN | NaN | NaN | NaN | 0000896140!$!Western Province!$!-15!$!24!$!ZM;... | 0000896140;0000897041;0000898632;0000900594;00... | Western Province;Solwezi District;Shilenda;Nor... | -15;-12.39277;-12.4054;-13;-15.56667;-15.45;-1... | 24;26.04287;25.76152;25;23.5;23.66667;23.61667... | ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZM | Africa | |
| 1073 | P151847 | Africa | Eastern Africa;Eastern Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Eastern and Southern Africa Higher Education C... | 2016-05-26T00:00:00Z | May | 2022-12-31T00:00:00Z | 148,000,000 | 0 | 148,000,000 | 148,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P151847?lang=en | NaN | NaN | Tertiary Education!$!98!$!ET | Public Administration - Education!$!2!$!EF | NaN | NaN | NaN | Tertiary Education;Tertiary Education;Public A... | NaN | NaN | NaN | NaN | NaN | Education;Education;Education | Education for the knowledge economy!$!100!$!66 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities|Global Public Go... | IDA57940;IDA57940;IDA57960;IDA57970;IDA57980;I... | NaN | NaN | NaN | NaN | NaN | 0000153220!$!Morogoro!$!-6.82102!$!37.66122!$!... | 0000153220;0000161325;0000198629;0000200304;00... | Morogoro;Arusha;Eldoret;Bondo;Kigali;Mbarara;K... | -6.82102;-3.36667;0.52036;0.23861;-1.94995;-0.... | 37.66122;36.68333;35.26993;34.26944;30.05885;3... | TZ;TZ;KE;KE;RW;UG;UG;ET;ET;ZM;ZM;MW;MW;MZ;KE;UG | Eastern Africa | |
| 1076 | P155658 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2/RI-Southern Africa Tuberculosis and Heal... | 2016-05-26T00:00:00Z | May | 2021-12-31T00:00:00Z | 122,000,000 | 0 | 122,000,000 | 122,000,000 | 0 | LS | T E ETE | http://projects.worldbank.org/P155658?lang=en | NaN | NaN | Health!$!76!$!HG | Mining!$!15!$!LM | Public Administration - Energy and Extractives... | Public Administration - Health!$!3!$!HF | NaN | Health;Health;Mining;Public Administration - E... | NaN | NaN | NaN | NaN | NaN | Health;Health;Energy and Extractives;Energy an... | HIV/AIDS!$!10!$!88 | Tuberculosis!$!40!$!93 | Participation and civic engagement!$!10!$!57 | Health system performance!$!40!$!67 | NaN | NaN | Global Public Goods Priorities|Corporate Advoc... | IDA58220;IDA58220;IDA58230;IDA58630;IDA58640;I... | NaN | NaN | NaN | NaN | NaN | 0000175287!$!Pweto!$!-8.47058!$!28.89921!$!ZM;... | 0000175287;0000175908;0000175967;0000176146;00... | Pweto;Mukopa;Mporokoso;Mbala;Kawambwa;Katete;K... | -8.47058;-9.96667;-9.37273;-8.84024;-9.7915;-9... | 28.89921;30.45;30.12501;31.36587;29.07913;32.4... | ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZM;MW;MW;ZM;ZM;ZM;ZM;ZM;Z... | Africa | |
| 1093 | P158265 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | Y | L | Active | Active | WAAPP -2A - Support to Groundnut Value Chain i... | 2016-05-17T00:00:00Z | May | NaN | 20,000,000 | 0 | 20,000,000 | 20,000,000 | 0 | IISTEE | IIST | http://projects.worldbank.org/P158265?lang=en | NaN | NaN | Crops!$!63!$!AH | Agricultural markets; commercialization and ag... | Public Administration - Agriculture; Fishing &... | NaN | NaN | Crops;Crops;Agricultural markets; commercializ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Export development and competitiveness!$!25!$!45 | State-owned enterprise restructuring and priva... | Technology diffusion!$!64!$!48 | NaN | NaN | NaN | Global Public Goods Priorities|Corporate Advoc... | NaN | NaN | NaN | NaN | NaN | NaN | 0002243939!$!Ziguinchor!$!12.8!$!-16.36667!$!S... | 0002243939;0002244800;0002244990;0002245662;00... | Ziguinchor;Region de Thies;Tambacounda;Republi... | 12.8;14.86667;13.91667;14.5;16.33333;15.16667;... | -16.36667;-16.86667;-13.25;-14.25;-15;-13.6666... | SN;SN;SN;SN;SN;SN;SN;SN;SN;SN;SN;SN;SN;SN;SN | Africa | |
| 1103 | P145048 | Europe and Central Asia | Western Balkans;Western Balkans | GE | Investment Project Financing | IN | B | N | L | Active | Active | West Balkans Drina River Basin Management | 2016-05-09T00:00:00Z | May | 2020-10-31T00:00:00Z | NaN | 0 | 0 | 0 | 4,370,000 | NaN | NaN | http://projects.worldbank.org/P145048?lang=en | NaN | NaN | Other Public Administration!$!2!$!BZ | Other Transportation!$!2!$!TZ | Public Administration - Water; Sanitation and ... | Other Water Supply; Sanitation and Waste Manag... | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Tr... | Water resource management!$!100!$!85 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000786058!$!Sava!$!44.82208!$!20.44468!$!RS;0... | 0000786058;0000834644;0003186246;0003187000;00... | Sava;Loznica;Zvornik;Zabljak;Vlasenica;Tuzla;S... | 44.82208;43.14453;44.38605;42.31722;44.18183;4... | 20.44468;21.30507;19.10247;19.15861;18.94096;1... | RS;RS;BA;ME;BA;BA;BA;ME;RS;RS;BA;ME;ME;ME;RS;R... | Western Balkans | |
| 1121 | P155163 | Africa | Eastern Africa;Eastern Africa | RE | Investment Project Financing | IN | C | Y | L | Active | Active | Africa Medicine Regulatory Harmonization Project | 2016-04-21T00:00:00Z | April | NaN | 3,900,000 | 0 | 0 | 0 | 3,900,000 | EAST AIC | EAST AIC | http://projects.worldbank.org/P155163?lang=en | NaN | NaN | Health!$!100!$!HG | NaN | NaN | NaN | NaN | Health;Health | NaN | NaN | NaN | NaN | NaN | Health;Health | Health system performance!$!100!$!67 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Eastern Africa | |
| 1133 | P146512 | Africa | Africa;Africa | PE | Development Policy Lending | AD | NaN | N | L | Closed | Closed | APEI Regional DPO (RI) | 2016-04-07T00:00:00Z | April | 2017-03-31T00:00:00Z | 29,900,000 | 19,900,000 | 10,000,000 | 29,900,000 | 0 | EET | IISTIES | http://projects.worldbank.org/P146512?lang=en | NaN | NaN | Other Industry; Trade and Services!$!93!$!YZ | Agricultural markets; commercialization and ag... | NaN | NaN | NaN | Other Industry; Trade and Services;Other Indus... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | Export development and competitiveness!$!22!$!45 | Regulation and competition policy!$!7!$!40 | Trade facilitation and market access!$!50!$!49 | Regional integration!$!21!$!47 | NaN | NaN | Global Public Goods Priorities|Corporate Advoc... | IDA57850;IDA57850;IBRD86030;IBRD86040 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 1136 | P153702 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | C | N | L | Active | Active | REGIONAL PROGRAM TO HARMONIZE AND MODERNIZE LI... | 2016-04-06T00:00:00Z | April | 2021-12-31T00:00:00Z | 42,000,000 | 0 | 40,500,000 | 40,500,000 | 0 | NaN | NaN | http://projects.worldbank.org/P153702?lang=en | NaN | NaN | Central Government (Central Agencies)!$!100!$!BC | NaN | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Economic statistics; modeling and forecasting!... | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities;Global Public G... | IDAD1120;IDAD1120 | NaN | NaN | NaN | NaN | NaN | 0002245662!$!Republic of Senegal!$!14.5!$!-14.... | 0002245662;0002253354;0002287781;0002293538;00... | Republic of Senegal;Dakar;Republic of Cote d'I... | 14.5;14.6937;8;5.30966;12.36566;12.5;8.66667;6... | -14.25;-17.44406;-5.5;-4.01266;-1.53388;-1.666... | SN;SN;CI;CI;BF;BF;TG;TG;GW;GW;BJ;BJ;NE;NE;ML;ML | Western Africa | |
| 1163 | P155373 | Africa | Africa;Africa | RE | Investment Project Financing | IN | NaN | N | L | Active | Active | Pan-African Forest-Dependent Indigenous Peopl... | 2016-03-23T00:00:00Z | March | 2019-12-31T00:00:00Z | 770,000 | 0 | 0 | 0 | 770,000 | NaN | NaN | http://projects.worldbank.org/P155373?lang=en | NaN | NaN | Forestry!$!100!$!AT | NaN | NaN | NaN | NaN | Forestry;Forestry | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Participation and civic engagement!$!20!$!57 | Indigenous peoples!$!20!$!60 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 1164 | P155374 | Africa | Africa;Africa | RE | Investment Project Financing | IN | NaN | N | L | Active | Active | Pan-African Civil Society FCPF Capacity Build... | 2016-03-23T00:00:00Z | March | 2019-12-31T00:00:00Z | 360,000 | 0 | 0 | 0 | 360,000 | NaN | NaN | http://projects.worldbank.org/P155374?lang=en | NaN | NaN | Forestry!$!100!$!AT | NaN | NaN | NaN | NaN | Forestry;Forestry | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Other social development!$!20!$!62 | Participation and civic engagement!$!20!$!57 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 1183 | P153404 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | RE | Investment Project Financing | IN | NaN | N | L | Active | Active | Solar PV Demonstration & Scale Up Project | 2016-03-11T00:00:00Z | March | 2018-12-31T00:00:00Z | 2,300,000 | 0 | 0 | 0 | 1,800,000 | ECS E | ECS CI | http://projects.worldbank.org/P153404?lang=en | NaN | NaN | Renewable Energy Biomass!$!25!$!LB | Renewable Energy Geothermal!$!25!$!LI | Renewable Energy Solar!$!25!$!LU | Renewable Energy Wind!$!25!$!LW | NaN | Renewable Energy Biomass;Renewable Energy Biom... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Climate change!$!100!$!81 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0003576810!$!Castries!$!14.00986!$!-60.977211!... | 0003576810;0003577887;0003579925 | Castries;Kingstown;Saint George's | 14.00986;13.15872;12.05644 | -60.977211;-61.224751;-61.748489 | LC;VC;GD | Organization of Eastern Caribbean States | |
| 1276 | P157303 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | Y | L | Active | Active | Additional Financing to Eastern Recovery Project | 2015-12-11T00:00:00Z | December | NaN | 50,000,000 | 0 | 50,000,000 | 50,000,000 | 0 | ECATIC | SCIAL U | http://projects.worldbank.org/P157303?lang=en | NaN | NaN | Social Protection!$!53!$!SA | Rural and Inter-Urban Roads!$!19!$!TI | Other Agriculture; Fishing and Forestry!$!15!$!AZ | Other Education!$!7!$!EZ | Other Water Supply; Sanitation and Waste Manag... | Social Protection;Social Protection;Rural and ... | NaN | NaN | NaN | NaN | NaN | Social Protection;Social Protection;Transporta... | Improving labor markets!$!30!$!51 | Conflict prevention and post-conflict reconstr... | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000149590!$!United Republic of Tanzania!$!-6!... | 0000149590;0000203312;0000204704;0000205253;00... | United Republic of Tanzania;Democratic Republi... | -6;-2.5;0.23333;-5.93333;-3.16667;-8.46667;-0.... | 35;23.5;25.56667;29.2;28.25;28.9;28.75;27.3333... | TZ;CD;CD;CD;CD;CD;CD;CD;CD;CD;CD;CD;ZM;CD | Africa | |
| 1294 | P151433 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Investment Project Financing | IN | B | N | L | Closed | Closed | Swaziland Private Sector Competitiveness | 2015-11-30T00:00:00Z | November | 2021-03-31T00:00:00Z | 25,000,000 | 25,000,000 | 0 | 25,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P151433?lang=en | NaN | NaN | Other Industry; Trade and Services!$!40!$!YZ | Agricultural markets; commercialization and ag... | Public Administration - Industry; Trade and Se... | Banking Institutions!$!15!$!FA | Other Non-bank Financial Institutions!$!5!$!FL | Other Industry; Trade and Services;Other Indus... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | Micro; Small and Medium Enterprise support!$!2... | Export development and competitiveness!$!25!$!45 | Regulation and competition policy!$!25!$!40 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IBRD85500;IBRD85500 | NaN | NaN | NaN | NaN | NaN | 0000934841!$!Kingdom of Swaziland!$!-26.5!$!31... | 0000934841;0000934985 | Kingdom of Swaziland;Mbabane | -26.5;-26.31667 | 31.5;31.13333 | SZ;SZ | Kingdom of Swaziland | |
| 1313 | P151363 | Europe and Central Asia | Central Asia;Central Asia | PE | Investment Project Financing | IN | B | N | L | Active | Active | Climate Adaptation and Mitigation Program for ... | 2015-11-03T00:00:00Z | November | 2021-04-30T00:00:00Z | 44,780,000 | 0 | 38,000,000 | 38,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P151363?lang=en | NaN | NaN | Other Agriculture; Fishing and Forestry!$!57!$!AZ | Central Government (Central Agencies)!$!43!$!BC | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Climate change!$!33!$!81 | Environmental policies and institutions!$!37!$!82 | Other rural development!$!30!$!79 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA57410;IDA57410;IDA57420;IDAD0940 | NaN | NaN | NaN | NaN | NaN | 0000453752!$!Karakalpakstan!$!44.21636!$!58.82... | 0000453752;0001220409;0001484843;0001512440 | Karakalpakstan;Republic of Tajikistan;Xorazm V... | 44.21636;39;41.5;41.66667 | 58.82986;71;60.5;63.83333 | UZ;TJ;UZ;UZ | Central Asia | |
| 1349 | P152653 | East Asia and Pacific | Pacific Islands;Pacific Islands | RE | Investment Project Financing | IN | B | N | L | Active | Active | Regional Sustainable Energy Industry Developme... | 2015-09-29T00:00:00Z | September | 2020-08-31T00:00:00Z | 5,660,000 | 0 | 0 | 0 | 5,660,000 | PACIIC P | AE | http://projects.worldbank.org/P152653?lang=en | NaN | NaN | Other Energy and Extractives!$!24!$!LZ | Renewable Energy Biomass!$!19!$!LB | Renewable Energy Geothermal!$!19!$!LI | Renewable Energy Solar!$!19!$!LU | Renewable Energy Wind!$!19!$!LW | Other Energy and Extractives;Other Energy and ... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Other environment and natural resources manage... | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0002081918!$!Micronesia!$!6.9239998!$!158.162!... | 0002081918;0002088122;0002108502;0002110215;00... | Micronesia;Port Moresby;Honiara;Gilbert Island... | 6.9239998;-9.44314;-9.4333296;1.42;-8.51719;7.... | 158.162;147.17972;159.95;172.98399;179.13054;1... | FM;PG;SB;KI;TV;MH;VU;FJ;TO;WS;PW | Pacific Islands | |
| 1352 | P154403 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Active | Active | IGAD - Building Disaster Resilience to Disast... | 2015-09-27T00:00:00Z | September | 2019-12-31T00:00:00Z | 2,490,000 | 0 | 0 | 0 | 2,490,000 | IA | IA CLIA | http://projects.worldbank.org/P154403?lang=en | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Public Administration - Water; Sanitation and ... | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Other Education!$!20!$!EZ | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Other urban development!$!5!$!74 | Climate change!$!25!$!81 | Natural disaster management!$!60!$!52 | Social Protection and Labor Policy & Systems!$... | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000184742!$!Nairobi Province!$!-1.28333!$!36.... | 0000184742 | Nairobi Province | -1.28333 | 36.833328 | KE | Africa | |
| 1356 | P151083 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2/RI-Great Lakes Trade Facilitation | 2015-09-25T00:00:00Z | September | 2020-12-31T00:00:00Z | 79,000,000 | 0 | 79,000,000 | 79,000,000 | 0 | C UU | AIUS A | http://projects.worldbank.org/P151083?lang=en | NaN | NaN | Public Administration - Industry; Trade and Se... | Trade!$!50!$!YY | NaN | NaN | NaN | Public Administration - Industry; Trade and Se... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | Regional integration!$!25!$!47 | Rural markets!$!20!$!75 | Trade facilitation and market access!$!55!$!49 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA57210;IDA57210;IDA57220;IDA57240;IDAD0890 | NaN | NaN | NaN | NaN | NaN | 0000201634!$!Nyamasheke!$!-2.3396!$!29.0856!$!... | 0000201634;0000202061;0000202761;0000204405;00... | Nyamasheke;Kigali;Kivu;Uvira;Mahagi;Kasindi;Bu... | -2.3396;-1.94995;-2.6195;-3.39534;2.29993;-0.0... | 29.0856;30.05885;29.4887;29.13779;30.99181;29.... | RW;RW;RW;CD;CD;CD;CD;CD;UG;UG;UG;RW;ZM;CD;CD;R... | Africa | |
| 1370 | P156455 | Europe and Central Asia | Western Balkans;Western Balkans | RE | Investment Project Financing | IN | NaN | N | L | Active | Active | SEE Catastrophe Risk Insurance Facility TA SECO | 2015-09-14T00:00:00Z | September | 2020-06-30T00:00:00Z | 4,240,000 | 0 | 0 | 0 | 4,240,000 | EUPA EI | EUPA EI | http://projects.worldbank.org/P156455?lang=en | NaN | NaN | Insurance and Pension!$!100!$!FD | NaN | NaN | NaN | NaN | Insurance and Pension;Insurance and Pension | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Balkans | |
| 1374 | P153111 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | Y | L | Active | Active | Africa Higher Education Centers of Excellence ... | 2015-09-10T00:00:00Z | September | NaN | 30,000,000 | 0 | 15,000,000 | 15,000,000 | 0 | IIST | IIST | http://projects.worldbank.org/P153111?lang=en | NaN | NaN | Tertiary Education!$!100!$!ET | NaN | NaN | NaN | NaN | Tertiary Education;Tertiary Education | NaN | NaN | NaN | NaN | NaN | Education;Education | Education for the knowledge economy!$!100!$!66 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities|Global Public Go... | NaN | NaN | NaN | NaN | NaN | NaN | 0002220957!$!Yaounde!$!3.8666699!$!11.51667!$!... | 0002220957;0002251970;0002279755;0002287781;00... | Yaounde;Fann-Hok;Yamoussoukro;Republic of Cote... | 3.8666699;14.68054;6.82055;8;5.30966;8.1000004... | 11.51667;-17.4648;-5.2767401;-5.5;-4.01266;-1.... | CM;SN;CI;CI;CI;GH;NG;NG;NG;NG;NG;NG;NG;NG;BF;T... | Western Africa | |
| 1411 | P153713 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Closed | Closed | Pastoralism & Stability in the Sahel and Horn... | 2015-07-14T00:00:00Z | July | 2017-12-31T00:00:00Z | 2,800,000 | 0 | 0 | 0 | 2,800,000 | IA A C | IA A C | http://projects.worldbank.org/P153713?lang=en | NaN | NaN | Fisheries!$!35!$!AF | Livestock!$!35!$!AL | Other Agriculture; Fishing and Forestry!$!30!$!AZ | NaN | NaN | Fisheries;Fisheries;Livestock;Other Agricultur... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Conflict prevention and post-conflict reconstr... | Rural policies and institutions!$!50!$!77 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000051537!$!Somalia!$!6!$!48!$!SO;0000192950!... | 0000051537;0000192950;0000223816;0000226074;00... | Somalia;Republic of Kenya;Republic of Djibouti... | 6;1;11.83333;1.25;9;15;16;7.5 | 48;38;42.5;32.5;39.5;39;30;30 | SO;KE;DJ;UG;ET;ER;SD;SS | Africa | |
| 1419 | P153665 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | Y | L | Active | Active | AFCC2/RI-3A EA PH Laboratory Networking Proje... | 2015-07-07T00:00:00Z | July | NaN | 50,000,000 | 0 | 50,000,000 | 50,000,000 | 0 | EIAL P | NaN | http://projects.worldbank.org/P153665?lang=en | NaN | NaN | Health!$!91!$!HG | Public Administration - Health!$!9!$!HF | NaN | NaN | NaN | Health;Health;Public Administration - Health | NaN | NaN | NaN | NaN | NaN | Health;Health;Health | Other communicable diseases!$!34!$!64 | Health system performance!$!33!$!67 | Tuberculosis!$!33!$!93 | NaN | NaN | NaN | Corporate Advocacy Priorities|Global Public Go... | NaN | NaN | NaN | NaN | NaN | NaN | 0000148679!$!Kagera Region!$!-1.91667!$!31.25!... | 0000148679;0000148724;0000148725;0000148728;00... | Kagera Region;Zanzibar Urban/West Region;Zanzi... | -1.91667;-6.1666698;-5.9166698;-6.25;-6.92452;... | 31.25;39.25;39.283329;39.416672;39.421768;35;3... | TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;T... | Africa | |
| 1442 | P155039 | Africa | Africa;Africa | RE | Investment Project Financing | IN | B | N | L | Closed | Closed | SUPPORT TO THE REBUILDING OF THE AGRICULTURAL... | 2015-06-27T00:00:00Z | June | 2016-12-31T00:00:00Z | 3,000,000 | 0 | 0 | 0 | 3,000,000 | CAECA | CAECA | http://projects.worldbank.org/P155039?lang=en | NaN | NaN | Other Agriculture; Fishing and Forestry!$!100!... | NaN | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Other rural development!$!50!$!79 | Other social protection and risk management!$!... | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0002275384!$!Republic of Liberia!$!6.5!$!-9.5!... | 0002275384;0002403846;0002420477 | Republic of Liberia;Republic of Sierra Leone;R... | 6.5;8.5;10.83333 | -9.5;-11.5;-10.66667 | LR;SL;GN | Africa | |
| 1464 | P147839 | East Asia and Pacific | Pacific Islands;Pacific Islands | PE | Investment Project Financing | IN | B | N | L | Active | Active | Pacific Resilience Program | 2015-06-19T00:00:00Z | June | 2020-11-30T00:00:00Z | 9,470,000 | 0 | 3,680,000 | 3,680,000 | 0 | SECETAIA | ESCIECE | http://projects.worldbank.org/P147839?lang=en | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Natural disaster management!$!100!$!52 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAD0740;IDAD0740 | NaN | NaN | NaN | NaN | NaN | 0002198148!$!Suva!$!-18.141609!$!178.44148!$!FJ | 0002198148 | Suva | -18.141609 | 178.44148 | FJ | Pacific Islands | |
| 1471 | P155542 | East Asia and Pacific | Pacific Islands;Pacific Islands | PE | Investment Project Financing | IN | B | N | L | Active | Active | Pacific Resilience Program | 2015-06-19T00:00:00Z | June | 2020-11-30T00:00:00Z | 1,320,000 | 0 | 1,320,000 | 1,320,000 | 0 | PACIIC IS | PACIIC IS | http://projects.worldbank.org/P155542?lang=en | NaN | NaN | Public Administration - Water; Sanitation and ... | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Natural disaster management!$!100!$!52 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAD0750;IDAD0750 | NaN | NaN | NaN | NaN | NaN | 0002205272!$!Central Division!$!-18!$!178.3333... | 0002205272 | Central Division | -18 | 178.33333 | FJ | Pacific Islands | |
| 1479 | P129282 | Africa | Africa;Africa | PE | Development Policy Lending | AD | NaN | N | L | Closed | Closed | Regional Trade Facilitation and Competitivenes... | 2015-06-16T00:00:00Z | June | 2015-12-31T00:00:00Z | 100,000,000 | 0 | 100,000,000 | 100,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P129282?lang=en | NaN | NaN | Other Transportation!$!70!$!TZ | Other Industry; Trade and Services!$!30!$!YZ | NaN | NaN | NaN | Other Transportation;Other Transportation;Othe... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Industry; Trade ... | Improving labor markets!$!20!$!51 | Regulation and competition policy!$!25!$!40 | Trade facilitation and market access!$!50!$!49 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA56710;IDA56710;IDA56720 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 1485 | P148853 | Africa | Eastern Africa;Eastern Africa | PE | Investment Project Financing | IN | A | N | L | Active | Active | EA Regional Transport ; Trade and Development ... | 2015-06-11T00:00:00Z | June | 2021-12-31T00:00:00Z | 676,000,000 | 0 | 500,000,000 | 500,000,000 | 0 | EPULIC | IIST | http://projects.worldbank.org/P148853?lang=en | NaN | NaN | Rural and Inter-Urban Roads!$!85!$!TI | Public Administration - Transportation!$!8!$!TF | ICT Infrastructure!$!5!$!CI | Other Industry; Trade and Services!$!2!$!YZ | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Transportation;I... | Infrastructure services for private sector dev... | Trade facilitation and market access!$!52!$!49 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA56380;IDA56380 | NaN | NaN | NaN | NaN | NaN | 0000149854!$!Sirari!$!-1.25367!$!34.47596!$!TZ... | 0000149854;0000152224;0000152450;0000179090;00... | Sirari;Mwanza;Musoma;Toritu;Mombasa District;M... | -1.25367;-2.51667;-1.84608;-1.16667;-4.02;1.71... | 34.47596;32.9;33.58961;36.8;39.66667;35.35;35.... | TZ;TZ;TZ;KE;KE;KE;KE;KE;KE;KE;KE;KE;KE;KE;UG;U... | Eastern Africa | |
| 1486 | P149526 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Sahel Malaria and Neglected Tropical Diseases | 2015-06-11T00:00:00Z | June | 2019-12-31T00:00:00Z | 121,000,000 | 0 | 121,000,000 | 121,000,000 | 0 | EPULICS | HAPC | http://projects.worldbank.org/P149526?lang=en | NaN | NaN | Health!$!100!$!HG | NaN | NaN | NaN | NaN | Health;Health | NaN | NaN | NaN | NaN | NaN | Health;Health | Other communicable diseases!$!25!$!64 | Malaria!$!25!$!92 | Child health!$!20!$!63 | Health system performance!$!30!$!67 | NaN | NaN | Corporate Advocacy Priorities|Global Public Go... | IDA56670;IDA56670;IDA56680;IDA56690;IDAD0710 | NaN | NaN | NaN | NaN | NaN | 0002354176!$!Tougan!$!13.0725!$!-3.0694!$!BF;0... | 0002354176;0002354264;0002354349;0002355548;00... | Tougan;Toma;Titao;Sindou;Sebba;Ouahigouya;Noun... | 13.0725;13.1413;13.76667;10.66667;13.43641;13.... | -3.0694;-3.4523;-2.06667;-5.16667;0.53044;-2.4... | BF;BF;BF;BF;BF;BF;BF;BF;BF;BF;BF;BF;BF;BF;BF;B... | Western Africa | |
| 1514 | P147674 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Regional Sahel Pastoralism Support Project | 2015-05-26T00:00:00Z | May | 2021-12-31T00:00:00Z | 248,000,000 | 0 | 248,000,000 | 248,000,000 | 0 | E | CILSS | http://projects.worldbank.org/P147674?lang=en | NaN | NaN | Livestock!$!50!$!AL | Public Administration - Agriculture; Fishing &... | Agricultural markets; commercialization and ag... | NaN | NaN | Livestock;Livestock;Public Administration - Ag... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Land administration and management!$!16!$!83 | Rural services and infrastructure!$!38!$!78 | Rural policies and institutions!$!12!$!77 | Regional integration!$!18!$!47 | Water resource management!$!16!$!85 | NaN | Global Public Goods Priorities|Millennium Deve... | IDA56490;IDA56490;IDA56500;IDA56510;IDA56520;I... | NaN | NaN | NaN | NaN | NaN | 0002245662!$!Republic of Senegal!$!14.5!$!-14.... | 0002245662;0002361809;0002378080;0002434508;00... | Republic of Senegal;Burkina Faso;Islamic Repub... | 14.5;12.5;20.25;15;18;18 | -14.25;-1.66667;-10.5;19;9;-2 | SN;BF;MR;TD;NE;ML | Western Africa | |
| 1517 | P153466 | Africa | Africa;Africa | PE | Investment Project Financing | IN | A | Y | L | Closed | Closed | AFFC2/RI-Lake Victoria Environmental Managemen... | 2015-05-26T00:00:00Z | May | NaN | 22,000,000 | 0 | 22,000,000 | 22,000,000 | 0 | EAC | LAE ICT | http://projects.worldbank.org/P153466?lang=en | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Agricultural Extension; Research; and Other Su... | Sanitation!$!25!$!WA | Public Administration - Water; Sanitation and ... | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!40!$!85 | Other rural development!$!15!$!79 | Pollution management and environmental health!... | Land administration and management!$!15!$!83 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000148996!$!Lake Victoria!$!-1!$!33!$!TZ;0000... | 0000148996;0000152219;0000152223;0000154648;00... | Lake Victoria;Mwanza Region;Mwanza District;Ma... | -1;-2.75;-2.5;-2.68333;-1.5;-2.59381;-1.4157;-... | 33;33.08333;33;33.98333;34.55;33.40249;31.6453... | TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;UG;UG;UG;KE;KE;KE;TZ;T... | Africa | |
| 1519 | P130871 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Regional Communications Infrastructure Program... | 2015-05-22T00:00:00Z | May | 2022-02-28T00:00:00Z | 85,000,000 | 0 | 75,000,000 | 75,000,000 | 0 | EPULIC | ATIAL I | http://projects.worldbank.org/P130871?lang=en | NaN | NaN | Central Government (Central Agencies)!$!46!$!BC | ICT Infrastructure!$!45!$!CI | Public Administration - Information and Commun... | ICT Services!$!1!$!CS | Other Information and Communications Technolog... | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;In... | Infrastructure services for private sector dev... | Regulation and competition policy!$!3!$!40 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA56350;IDA56350 | NaN | NaN | NaN | NaN | NaN | 0000234594!$!Central Region!$!0.5!$!32!$!UG;00... | 0000234594;0000443339;0008260673;0008260674;00... | Central Region;Kampala District;Eastern Region... | 0.5;0.33508;0.96675003;2.7372999;-0.61179 | 32;32.58313;33.826221;31.88644;30.555731 | UG;UG;UG;UG;UG | Africa | |
| 1524 | P149969 | Africa | Western Africa;Western Africa | GE | Investment Project Financing | IN | B | N | L | Active | Active | Volta River Basin Strategic Action Programme I... | 2015-05-21T00:00:00Z | May | 2019-08-31T00:00:00Z | NaN | 0 | 0 | 0 | 7,200,000 | LTA ASI | LTA ASI | http://projects.worldbank.org/P149969?lang=en | NaN | NaN | Other Agriculture; Fishing and Forestry!$!39!$!AZ | Other Water Supply; Sanitation and Waste Manag... | Other Public Administration!$!22!$!BZ | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Water resource management!$!54!$!85 | Regional integration!$!18!$!47 | Environmental policies and institutions!$!28!$!82 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0002287781!$!Republic of Côte d’Ivoire!$!8!$!-... | 0002287781;0002294066;0002294234;0002294237;00... | Republic of Côte d’Ivoire;White Volta;Volta Re... | 8;9.16667;7;5.77385;6.15861;8.1;6.29892;8.6495... | -5.5;-1.25;0.5;0.67201;0.06261;-1.2;0.05854;-0... | CI;GH;GH;GH;GH;GH;GH;GH;TG;BF;TG;TG;BJ;ML;BF;B... | Western Africa | |
| 1557 | P145566 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Southern Africa Trade and Transport Facilitati... | 2015-04-29T00:00:00Z | April | 2021-12-31T00:00:00Z | 69,000,000 | 0 | 69,000,000 | 69,000,000 | 0 | EET | AS AUTH | http://projects.worldbank.org/P145566?lang=en | NaN | NaN | Rural and Inter-Urban Roads!$!60!$!TI | Other Industry; Trade and Services!$!19!$!YZ | Public Administration - Transportation!$!16!$!TF | Health!$!5!$!HG | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Industry; Trade ... | Injuries and non-communicable diseases!$!31!$!89 | Trade facilitation and market access!$!41!$!49 | Regional integration!$!23!$!47 | HIV/AIDS!$!5!$!88 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA56220;IDA56220 | NaN | NaN | NaN | NaN | NaN | 0000924591!$!Northern Region!$!-11!$!34!$!MW | 0000924591 | Northern Region | -11 | 34 | MW | Africa | |
| 1558 | P146830 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | OMVG Interconnection Project | 2015-04-29T00:00:00Z | April | 2022-06-30T00:00:00Z | 711,000,000 | 0 | 200,000,000 | 200,000,000 | 0 | EE | A | http://projects.worldbank.org/P146830?lang=en | NaN | NaN | Energy Transmission and Distribution!$!100!$!LT | NaN | NaN | NaN | NaN | Energy Transmission and Distribution;Energy Tr... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Climate change!$!20!$!81 | Regional integration!$!60!$!47 | Infrastructure services for private sector dev... | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA56590;IDA56590;IDA56600;IDA56610;IDA56620 | NaN | NaN | NaN | NaN | NaN | 0002244979!$!Tanaf!$!12.64972!$!-15.42611!$!SN... | 0002244979;0002244993;0002245662;0002246300;00... | Tanaf;Tambacounda Department;Republic of Seneg... | 12.64972;13.605;14.5;12.4267;14.05726;12.56389... | -15.42611;-13.647;-14.25;-12.1704;-16.07898;-1... | SN;SN;SN;SN;SN;SN;SN;GW;GW;GW;GW;GM;GM;GN;GN;G... | Western Africa | |
| 1572 | P154549 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | C | Y | L | Active | Active | SWEDD AF for Burkina Faso | 2015-04-23T00:00:00Z | April | NaN | 34,800,000 | 0 | 34,800,000 | 34,800,000 | 0 | EET | IIST | http://projects.worldbank.org/P154549?lang=en | NaN | NaN | Health!$!60!$!HG | Public Administration - Social Protection!$!20... | Central Government (Central Agencies)!$!10!$!BC | Sub-National Government!$!10!$!BH | NaN | Health;Health;Public Administration - Social P... | NaN | NaN | NaN | NaN | NaN | Health;Health;Social Protection;Public Adminis... | Gender!$!40!$!59 | Population and reproductive health!$!40!$!69 | Education for all!$!10!$!65 | Health system performance!$!10!$!67 | NaN | NaN | Corporate Advocacy Priorities|Millennium Devel... | NaN | NaN | NaN | NaN | NaN | NaN | 0000245785!$!Abeche!$!13.82916!$!20.8324!$!TD;... | 0000245785;0002287781;0002361809;0002376719;00... | Abeche;Republic of Côte d’Ivoire;Burkina Faso;... | 13.82916;8;12.5;15.15846;16.51378;16.61702;20.... | 20.8324;-5.5;-1.66667;-12.1843;-15.80503;-7.25... | TD;CI;BF;MR;MR;MR;MR;TD;TD;TD;NE;NE;NE;NE;NE;N... | Western Africa | |
| 1630 | P126773 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | West Africa Regional Fisheries Program SOP-C1 ... | 2015-03-16T00:00:00Z | March | 2020-12-15T00:00:00Z | 23,050,000 | 0 | 22,000,000 | 22,000,000 | 0 | EPULIC | IIST | http://projects.worldbank.org/P126773/west-afr... | NaN | NaN | Public Administration - Agriculture; Fishing &... | Fisheries!$!42!$!AF | NaN | NaN | NaN | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Other public sector governance!$!19!$!30 | Environmental policies and institutions!$!20!$!82 | Infrastructure services for private sector dev... | Rural non-farm income generation!$!12!$!76 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAD0390;IDAD0390;IDAD0400 | NaN | NaN | NaN | NaN | NaN | 0002377449!$!District de Nouakchott!$!18.1!$!-... | 0002377449;0008335085 | District de Nouakchott;Boke Region | 18.1;11.2 | -15.95;-13.70667 | MR;GN | Western Africa | |
| 1631 | P131327 | Africa | Western Africa;Western Africa | GE | Investment Project Financing | IN | B | Y | L | Active | Active | West Africa - Mauritania Fish. APL | 2015-03-16T00:00:00Z | March | 2020-12-15T00:00:00Z | NaN | 0 | 0 | 0 | 7,000,000 | EPULIC | IIST | http://projects.worldbank.org/P131327?lang=en | NaN | NaN | Public Administration - Agriculture; Fishing &... | Fisheries!$!1!$!AF | Livestock!$!1!$!AL | NaN | NaN | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Infrastructure services for private sector dev... | Other public sector governance!$!49!$!30 | Environmental policies and institutions!$!50!$!82 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 1647 | P143546 | Africa | Southern Africa;Southern Africa | RE | Investment Project Financing | IN | NaN | N | L | Active | Active | Zambezi River Basin Management Project | 2015-03-06T00:00:00Z | March | 2018-06-30T00:00:00Z | 4,000,000 | 0 | 0 | 0 | 4,000,000 | AEI A | AC SEC | http://projects.worldbank.org/P143546?lang=en | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Other Agriculture; Fishing and Forestry!$!10!$!AZ | Irrigation and Drainage!$!10!$!AI | Renewable Energy Hydro!$!10!$!LH | Public Administration - Water; Sanitation and ... | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Natural disaster management!$!20!$!52 | Water resource management!$!40!$!85 | Climate change!$!20!$!81 | Environmental policies and institutions!$!20!$!82 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Southern Africa | |
| 1658 | P132029 | Africa | Africa;Africa | GE | Investment Project Financing | IN | B | Y | L | Active | Active | AFCC2/RI-South West Indian Ocean Fisheries Gov... | 2015-02-27T00:00:00Z | February | 2021-09-30T00:00:00Z | NaN | 0 | 0 | 0 | 15,500,000 | CS | IISTIES | http://projects.worldbank.org/P132029?lang=en | NaN | NaN | Fisheries!$!50!$!AF | Livestock!$!50!$!AL | NaN | NaN | NaN | Fisheries;Fisheries;Livestock | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Water resource management!$!25!$!85 | Biodiversity!$!50!$!80 | Environmental policies and institutions!$!25!$!82 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 1659 | P132123 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2/RI-South West Indian Ocean Fisheries Gov... | 2015-02-27T00:00:00Z | February | 2021-09-30T00:00:00Z | 91,000,000 | 0 | 75,500,000 | 75,500,000 | 0 | CS | IISTIES | http://projects.worldbank.org/P132123/south-we... | NaN | NaN | Fisheries!$!75!$!AF | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | Fisheries;Fisheries;Public Administration - Ag... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Biodiversity!$!20!$!80 | Rural non-farm income generation!$!36!$!76 | Environmental policies and institutions!$!34!$!82 | Water resource management!$!10!$!85 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA55460;IDA55460;IDA55890;IDAD0110;IDAH9940;I... | NaN | NaN | NaN | NaN | NaN | 0000148724!$!Zanzibar Urban/West Region!$!-6.1... | 0000148724;0000149595;0000150602;0000150731;00... | Zanzibar Urban/West Region;Tanga Region;Coast ... | -6.1666698;-5.1999998;-7.25;-5.1500001;-9.5;-6... | 39.25;38.283329;38.833328;39.76667;38.5;39.195... | TZ;TZ;TZ;TZ;TZ;TZ;TZ;KM;KM;KM;MZ;MZ;MZ;MZ | Africa | |
| 1666 | P145634 | Europe and Central Asia | Central Asia;Central Asia | PE | Investment Project Financing | IN | B | N | L | Active | Active | Central Asia Road Links - Tajikistan | 2015-02-25T00:00:00Z | February | 2020-08-31T00:00:00Z | 54,000,000 | 0 | 45,000,000 | 45,000,000 | 0 | IIST | NaN | http://projects.worldbank.org/P145634?lang=en | NaN | NaN | Rural and Inter-Urban Roads!$!90!$!TI | Public Administration - Transportation!$!10!$!TF | NaN | NaN | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Transportation | Trade facilitation and market access!$!40!$!49 | Regional integration!$!20!$!47 | Rural services and infrastructure!$!40!$!78 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA55930;IDA55930;IDAD0300 | NaN | NaN | NaN | NaN | NaN | 0001221092!$!Viloyati Sughd!$!40!$!69!$!TJ | 0001221092 | Viloyati Sughd | 40 | 69 | TJ | Central Asia | |
| 1683 | P149714 | Africa | Western Africa;Western Africa | RE | Investment Project Financing | IN | B | N | L | Active | Active | Niger River Basin Management Project | 2015-01-28T00:00:00Z | January | 2019-12-31T00:00:00Z | 7,500,000 | 0 | 0 | 0 | 7,500,000 | IE ASI | IE ASI | http://projects.worldbank.org/P149714?lang=en | NaN | NaN | Renewable Energy Hydro!$!30!$!LH | Other Water Supply; Sanitation and Waste Manag... | Sub-National Government!$!20!$!BH | Agricultural Extension; Research; and Other Su... | NaN | Renewable Energy Hydro;Renewable Energy Hydro;... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Environmental policies and institutions!$!15!$!82 | Water resource management!$!35!$!85 | Regional integration!$!35!$!47 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0002233387!$!Republic of Cameroon!$!6!$!12.5!$... | 0002233387;0002287781;0002328926;0002335567;00... | Republic of Cameroon;Republic of Cote d'Ivoire... | 6;8;10;9.86667;9.13333;12.5;9.5;10.83333;10.51... | 12.5;-5.5;8;4.6;4.83333;-1.66667;2.25;-10.6666... | CM;CI;NG;NG;NG;BF;BJ;GN;GN;TD;NE;NE;ML;ML;ML;M... | Western Africa | |
| 1705 | P131655 | East Asia and Pacific | Pacific Islands;Pacific Islands | PE | Investment Project Financing | IN | B | N | L | Active | Active | Pacific Islands Regional Oceanscape Program Fo... | 2014-12-22T00:00:00Z | December | 2020-09-30T00:00:00Z | 3,970,000 | 0 | 3,970,000 | 3,970,000 | 0 | PACIIC IS | IISTIES | http://projects.worldbank.org/P131655?lang=en | NaN | NaN | Fisheries!$!50!$!AF | Livestock!$!50!$!AL | NaN | NaN | NaN | Fisheries;Fisheries;Livestock | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Regional integration!$!28!$!47 | Biodiversity!$!22!$!80 | Environmental policies and institutions!$!28!$!82 | Other environment and natural resources manage... | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDAD0230;IDAD0230 | NaN | NaN | NaN | NaN | NaN | 0002081175!$!State of Yap!$!9.538!$!138.097!$!... | 0002081175;0002081550;0002082036;0002082282;00... | State of Yap;State of Pohnpei;State of Kosrae;... | 9.538;6.964;5.325;7.454;-7.23247;-5.65545;-8.5... | 138.097;158.2056;162.981;151.805;177.15205;176... | FM;FM;FM;FM;TV;TV;TV;MH;MH;MH;MH;MH;MH;MH;MH;M... | Pacific Islands | |
| 1714 | P153429 | East Asia and Pacific | Pacific Islands;Pacific Islands | GE | Investment Project Financing | IN | B | Y | L | Active | Active | Pacfic Islands Regional Ocenscape Program Foru... | 2014-12-22T00:00:00Z | December | 2020-09-30T00:00:00Z | 6,160,000 | 0 | 0 | 0 | 2,190,000 | PACIIC IS | U ISH | http://projects.worldbank.org/P153429?lang=en | NaN | NaN | Other Agriculture; Fishing and Forestry!$!100!... | NaN | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!20!$!77 | Other public sector governance!$!20!$!30 | Other environment and natural resources manage... | Environmental policies and institutions!$!25!$!82 | Regional integration!$!15!$!47 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Pacific Islands | |
| 1720 | P150080 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | C | N | L | Active | Active | Sahel Women's Empowerment and Demographics Pro... | 2014-12-18T00:00:00Z | December | 2019-12-31T00:00:00Z | 172,200,000 | 0 | 170,200,000 | 170,200,000 | 0 | EPULICS | P IE | http://projects.worldbank.org/P150080?lang=en | NaN | NaN | Central Government (Central Agencies)!$!10!$!BC | Sub-National Government!$!10!$!BH | Secondary Education!$!20!$!ES | Health!$!60!$!HG | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Pu... | Gender!$!40!$!59 | Population and reproductive health!$!40!$!69 | Education for all!$!10!$!65 | Health system performance!$!10!$!67 | NaN | NaN | Corporate Advocacy Priorities|Millennium Devel... | IDA55690;IDA55690;IDA55700;IDAD0190;IDAD0200;I... | NaN | NaN | NaN | NaN | NaN | 0002287781!$!Republic of Cote d'Ivoire!$!8!$!-... | 0002287781;0002361809;0002378080;0002434508;00... | Republic of Cote d'Ivoire;Burkina Faso;Islamic... | 8;12.5;20.25;15;18;18 | -5.5;-1.66667;-10.5;19;9;-2 | CI;BF;MR;TD;NE;ML | Western Africa | |
| 1735 | P146515 | Africa | Africa;Africa | PE | Investment Project Financing | IN | A | N | L | Active | Active | Kariba Dam Rehabilitation Project (RI) | 2014-12-09T00:00:00Z | December | 2025-02-28T00:00:00Z | 294,200,000 | 0 | 75,000,000 | 75,000,000 | 0 | EPULIC | AEI I | http://projects.worldbank.org/P146515?lang=en | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Renewable Energy Hydro!$!14!$!LH | Other Transportation!$!2!$!TZ | Other Public Administration!$!2!$!BZ | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Natural disaster management!$!13!$!52 | Water resource management!$!87!$!85 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA55630;IDA55630 | NaN | NaN | NaN | NaN | NaN | 0000889215!$!Kariba!$!-16.51667!$!28.799999!$!... | 0000889215;0000898188 | Kariba;Siavonga | -16.51667;-16.538179 | 28.799999;28.708759 | ZW;ZM | Africa | |
| 1766 | P152980 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | Y | L | Active | Active | Ebola Emergency Response Project - Additional ... | 2014-11-18T00:00:00Z | November | NaN | 285,000,000 | 0 | 285,000,000 | 285,000,000 | 0 | EPULIC | AH | http://projects.worldbank.org/P152980?lang=en | NaN | NaN | Health!$!80!$!HG | Social Protection!$!20!$!SA | NaN | NaN | NaN | Health;Health;Social Protection | NaN | NaN | NaN | NaN | NaN | Health;Health;Social Protection | Other communicable diseases!$!80!$!64 | Other social protection and risk management!$!... | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities|Global Public Go... | NaN | NaN | NaN | NaN | NaN | NaN | 0002274890!$!Montserrado County!$!6.5!$!-10.56... | 0002274890;0002274895;0002275384;0002403846;00... | Montserrado County;Monrovia;Republic of Liberi... | 6.5;6.30054;6.5;8.5;8.484;10.83333;9.60703;6.55 | -10.56667;-10.7969;-9.5;-11.5;-13.22994;-10.66... | LR;LR;LR;SL;SL;GN;GN;LR | Western Africa | |
| 1774 | P126661 | Africa | Africa;Africa | PE | Investment Project Financing | IN | A | N | L | Active | Active | AFCC2/RI-SAPP-Program for Accelerating Regiona... | 2014-11-11T00:00:00Z | November | 2019-11-30T00:00:00Z | 20,000,000 | 0 | 20,000,000 | 20,000,000 | 0 | SAPP | SAPP | http://projects.worldbank.org/P126661?lang=en | NaN | NaN | Other Energy and Extractives!$!100!$!LZ | NaN | NaN | NaN | NaN | Other Energy and Extractives;Other Energy and ... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Infrastructure services for private sector dev... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH9890;IDAH9890 | NaN | NaN | NaN | NaN | NaN | 0000149590!$!United Republic of Tanzania!$!-6!... | 0000149590;0000203312;0000878675;0000895949;00... | United Republic of Tanzania;Democratic Republi... | -6;-2.5;-19;-14.33333;-13.5;-29.5;-22;-26.5;-2... | 35;23.5;29.75;28.5;34;28.25;24;31.5;24;35;18.5;17 | TZ;CD;ZW;ZM;MW;LS;BW;SZ;ZA;MZ;AO;NA | Africa | |
| 1798 | P150006 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | Y | L | Active | Active | AFCC2/RI-Regional Pastoral Livelihoods Resilience | 2014-10-21T00:00:00Z | October | NaN | 75,000,000 | 0 | 75,000,000 | 75,000,000 | 0 | EEAL I | IIST | http://projects.worldbank.org/P150006?lang=en | NaN | NaN | Livestock!$!60!$!AL | Public Administration - Agriculture; Fishing &... | Agricultural Extension; Research; and Other Su... | Agricultural markets; commercialization and ag... | NaN | Livestock;Livestock;Public Administration - Ag... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Natural disaster management!$!13!$!52 | Rural services and infrastructure!$!8!$!78 | Other rural development!$!45!$!79 | Rural markets!$!25!$!75 | Regional integration!$!9!$!47 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000178145!$!West Pokot District!$!1.75!$!35.2... | 0000178145;0000178440;0000178914;0000179585;00... | West Pokot District;Wajir District;Turkana Dis... | 1.75;1.75;3;-1.53333;1.33333;2.96667;3.36667;0... | 35.25;40.01667;35.5;39.41667;37.11667;37.6;40.... | KE;KE;KE;KE;KE;KE;KE;KE;KE;KE;KE;UG;ET;ET;ET;E... | Africa | |
| 1827 | P152570 | East Asia and Pacific | Pacific Islands;Pacific Islands | RE | Investment Project Financing | IN | C | Y | L | Active | Active | Pacific Catastrophe Risk Insurance Pilot | 2014-09-26T00:00:00Z | September | NaN | 1,000,000 | 0 | 0 | 0 | 1,000,000 | PATICIPAT | PATICIPAT | http://projects.worldbank.org/P152570?lang=en | NaN | NaN | Insurance and Pension!$!100!$!FD | NaN | NaN | NaN | NaN | Insurance and Pension;Insurance and Pension | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Climate change!$!20!$!81 | Natural disaster management!$!30!$!52 | Debt management and fiscal sustainability!$!30... | Other environment and natural resources manage... | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0002080185!$!Republic of the Marshall Islands!... | 0002080185;0002103350;0002134431;0004032283;00... | Republic of the Marshall Islands;Solomon Islan... | 7.113;-8;-16;-20;-13.8 | 171.236;159;167;-175;-172.13333 | MH;SB;VU;TO;WS | Pacific Islands | |
| 1842 | P152359 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Ebola Emergency Response Project | 2014-09-16T00:00:00Z | September | 2021-03-31T00:00:00Z | 105,000,000 | 0 | 105,000,000 | 105,000,000 | 0 | EPULIC | AH | http://projects.worldbank.org/P152359?lang=en | NaN | NaN | Health!$!49!$!HG | Social Protection!$!51!$!SA | NaN | NaN | NaN | Health;Health;Social Protection | NaN | NaN | NaN | NaN | NaN | Health;Health;Social Protection | Other communicable diseases!$!49!$!64 | Other social protection and risk management!$!... | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities|Global Public Go... | IDAD0070;IDAD0070;IDAD0090;IDAH9920;IDAD0080;I... | NaN | NaN | NaN | NaN | NaN | 0002275384!$!Republic of Liberia!$!6.5!$!-9.5!... | 0002275384;0002403846;0002420477 | Republic of Liberia;Republic of Sierra Leone;R... | 6.5;8.5;10.83333 | -9.5;-11.5;-10.66667 | LR;SL;GN | Western Africa | |
| 1864 | P144228 | Africa | Southern Africa;Southern Africa | RE | Technical Assistance Loan | IN | B | N | L | Closed | Closed | Lesotho Highlands - Botswana Water Transfer | 2014-08-14T00:00:00Z | August | 2017-09-30T00:00:00Z | 2,000,000 | 0 | 0 | 0 | 2,000,000 | IIST | EPATET | http://projects.worldbank.org/P144228?lang=en | NaN | NaN | Water Supply!$!60!$!WC | Other Water Supply; Sanitation and Waste Manag... | Public Administration - Water; Sanitation and ... | NaN | NaN | Water Supply;Water Supply;Other Water Supply; ... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!100!$!85 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Southern Africa | |
| 1877 | P148238 | East Asia and Pacific | Pacific Islands;Pacific Islands | PE | Investment Project Financing | IN | C | N | L | Active | Active | P4: Pacific Regional ICT Regulatory Developme... | 2014-07-30T00:00:00Z | July | 2019-07-31T00:00:00Z | 4,940,000 | 0 | 4,500,000 | 4,500,000 | 0 | UIESIT | UIESIT | http://projects.worldbank.org/P148238?lang=en | NaN | NaN | ICT Infrastructure!$!100!$!CI | NaN | NaN | NaN | NaN | ICT Infrastructure;ICT Infrastructure | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Infrastructure services for private sector dev... | Regulation and competition policy!$!75!$!40 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH9820;IDAH9820 | NaN | NaN | NaN | NaN | NaN | 0001559582!$!Republic of Palau!$!7.5029998!$!1... | 0001559582;0002080185;0002081986;0002088628;00... | Republic of Palau;Republic of the Marshall Isl... | 7.5029998;7.1129999;6.9247699;-6;-8;-8.51719;-... | 134.621;171.23599;158.16109;147;159;179.14478;... | PW;MH;PG;SB;TV;VU;KI;TO;WS | Pacific Islands | |
| 1891 | P132821 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2/RI-Central African Backbone SOP5 | 2014-07-16T00:00:00Z | July | 2019-12-31T00:00:00Z | 92,100,000 | 0 | 92,100,000 | 92,100,000 | 0 | IIST | IIST | http://projects.worldbank.org/P132821?lang=en | NaN | NaN | ICT Infrastructure!$!82!$!CI | Public Administration - Information and Commun... | ICT Services!$!3!$!CS | Other Information and Communications Technolog... | NaN | ICT Infrastructure;ICT Infrastructure;Public A... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | State-owned enterprise restructuring and priva... | Infrastructure services for private sector dev... | Regulation and competition policy!$!40!$!40 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH9810;IDAH9810 | NaN | NaN | NaN | NaN | NaN | 0000210959!$!Lubutu!$!-0.73333001!$!26.58333!$... | 0000210959;0000214973;0000217830;0000217833;00... | Lubutu;Kalemie;Bukavu;Bukama;Beni;Moanda;Kisan... | -0.73333001;-5.9333301;-2.5;-9.1999998;0.5;-5.... | 26.58333;29.200001;28.866671;25.85;29.466669;1... | CD;CD;CD;CD;CD;CD;CD;CD | Africa | |
| 1927 | P147218 | Africa | Africa;Africa | RE | Investment Project Financing | IN | B | Y | L | Active | Active | Additional Financing for Nile Cooperation for ... | 2014-06-27T00:00:00Z | June | NaN | 4,500,000 | 0 | 0 | 0 | 4,500,000 | ILE ASI | ILE ASI | http://projects.worldbank.org/P147218?lang=en | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!74!$!85 | Participation and civic engagement!$!10!$!57 | Environmental policies and institutions!$!16!$!82 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 1935 | P147489 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2/RI- Great Lakes Emergency Sexual and Gen... | 2014-06-26T00:00:00Z | June | 2019-12-31T00:00:00Z | 106,960,000 | 0 | 106,960,000 | 106,960,000 | 0 | NaN | NaN | http://projects.worldbank.org/P147489?lang=en | NaN | NaN | Health!$!61!$!HG | Social Protection!$!29!$!SA | Public Administration - Health!$!10!$!HF | NaN | NaN | Health;Health;Social Protection;Public Adminis... | NaN | NaN | NaN | NaN | NaN | Health;Health;Social Protection;Health | Health system performance!$!27!$!67 | Gender!$!36!$!59 | Conflict prevention and post-conflict reconstr... | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA55250;IDA55250;IDAH9780;IDAH9790;IDAH9800 | NaN | NaN | NaN | NaN | NaN | 0000201715!$!Nemba!$!-1.6316!$!29.7871!$!RW;00... | 0000201715;0000201837;0000202021;0000202071;00... | Nemba;Mugonero;Kilinda;Kibogora;Kibilizi;Kabay... | -1.6316;-2.1853001;-2.1863;-2.3211999;-2.64930... | 29.7871;29.277901;29.579901;29.130899;29.78039... | RW;RW;RW;RW;RW;RW;RW;RW;RW;RW;RW;CD;CD;CD;CD;C... | Africa | |
| 1942 | P151481 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | RE | Investment Project Financing | IN | C | N | L | Closed | Closed | SZ: TFF Customs Modernization | 2014-06-24T00:00:00Z | June | 2014-08-31T00:00:00Z | 300,000 | 0 | 0 | 0 | 300,000 | SAILA | SAILA | http://projects.worldbank.org/P151481?lang=en | NaN | NaN | Public Administration - Industry; Trade and Se... | NaN | NaN | NaN | NaN | Public Administration - Industry; Trade and Se... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | Trade facilitation and market access!$!100!$!49 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 1973 | P143921 | Europe and Central Asia | Western Balkans;Western Balkans | GE | Investment Project Financing | IN | B | N | L | Active | Active | Croatia & Bosnia & Herzegovina GEF Adriatic Se... | 2014-06-11T00:00:00Z | June | 2019-02-15T00:00:00Z | NaN | 0 | 0 | 0 | 6,770,000 | SIA C | CATIAH | http://projects.worldbank.org/P143921?lang=en | NaN | NaN | Central Government (Central Agencies)!$!3!$!BC | Waste Management!$!61!$!WB | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Wa... | Pollution management and environmental health!... | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0003186952!$!Zadar!$!44.11972!$!15.24222!$!HR;... | 0003186952;0003194828;0003197710 | Zadar;Mostar;Korcula | 44.11972;43.34333;42.962219 | 15.24222;17.80806;17.13694 | HR;BA;HR | Western Balkans | |
| 1978 | P149394 | Other | Multi-Regional;Multi-Regional | RE | Investment Project Financing | IN | C | N | L | Active | Active | Learning on SGBV in FCS Operations | 2014-06-10T00:00:00Z | June | NaN | 3,740,000 | 0 | 0 | 0 | 3,740,000 | L SCH | L SCH | http://projects.worldbank.org/P149394?lang=en | NaN | NaN | Law and Justice!$!20!$!BG | Health!$!20!$!HG | Mining!$!20!$!LM | Social Protection!$!40!$!SA | NaN | Law and Justice;Law and Justice;Health;Mining;... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;He... | Gender!$!60!$!59 | Conflict prevention and post-conflict reconstr... | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities|Millennium Devel... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Multi-Regional | |
| 2005 | P133380 | Africa | Africa;Africa | RE | Investment Project Financing | IN | A | N | L | Active | Active | AFCC2/RI-Zambezi River Basin Development Project | 2014-05-30T00:00:00Z | May | 2018-08-31T00:00:00Z | 6,000,000 | 0 | 0 | 0 | 6,000,000 | AEI I | AEI I | http://projects.worldbank.org/P133380?lang=en | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Renewable Energy Hydro!$!40!$!LH | Public Administration - Water; Sanitation and ... | Public Administration - Energy and Extractives... | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Environmental policies and institutions!$!10!$!82 | Infrastructure services for private sector dev... | Water resource management!$!50!$!85 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000896972!$!Southern Province!$!-16.5!$!27!$!ZM | 0000896972 | Southern Province | -16.5 | 27 | ZM | Africa | |
| 2019 | P113629 | Africa | Africa;Africa | RE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2/RI-Centre for Coordination of Agricultur... | 2014-05-28T00:00:00Z | May | 2018-12-31T00:00:00Z | 26,040,000 | 0 | 0 | 0 | 26,040,000 | CCAESA | CCAESA | http://projects.worldbank.org/P113629/caadp4-a... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Tertiary Education!$!10!$!ET | NaN | NaN | NaN | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural services and infrastructure!$!67!$!78 | Rural policies and institutions!$!33!$!77 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000933773!$!Gaborone!$!-24.65451!$!25.90859!$!BW | 0000933773 | Gaborone | -24.65451 | 25.90859 | BW | Africa | |
| 2035 | P148972 | Africa | Africa;Africa | PE | Investment Project Financing | IN | A | Y | L | Active | Active | AF - Kandadji Niger Basin Water Resources Prog... | 2014-05-22T00:00:00Z | May | NaN | 55,200,000 | 0 | 55,200,000 | 55,200,000 | 0 | EET | IE ASI | http://projects.worldbank.org/P148972?lang=en | NaN | NaN | Renewable Energy Hydro!$!80!$!LH | Public Administration - Water; Sanitation and ... | Irrigation and Drainage!$!5!$!AI | Social Protection!$!5!$!SA | Agricultural Extension; Research; and Other Su... | Renewable Energy Hydro;Renewable Energy Hydro;... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Municipal governance and institution building!... | Water resource management!$!30!$!85 | Rural services and infrastructure!$!20!$!78 | Regional integration!$!30!$!47 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 2037 | P131426 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | South Sudan- Eastern Africa Regional Transport... | 2014-05-20T00:00:00Z | May | 2019-12-30T00:00:00Z | 255,000,000 | 0 | 80,000,000 | 80,000,000 | 0 | EPULIC | IIST | http://projects.worldbank.org/P131426?lang=en | NaN | NaN | Rural and Inter-Urban Roads!$!59!$!TI | ICT Infrastructure!$!19!$!CI | Public Administration - Transportation!$!15!$!TF | Public Administration - Industry; Trade and Se... | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Information and ... | Infrastructure services for private sector dev... | Trade facilitation and market access!$!63!$!49 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA53630;IDA53630 | NaN | NaN | NaN | NaN | NaN | 0000184742!$!Nairobi!$!-1.28333!$!36.833328!$!... | 0000184742;0000184817;0000186298;0000187650;00... | Nairobi;Nadapal;Mombasa;Marich Pass;Lokichokio... | -1.28333;4.4379301;-4.02;1.52869;4.2077098;3.1... | 36.833328;34.262642;39.666672;35.429482;34.353... | KE;KE;KE;KE;KE;KE;KE;SS;SS;SS;SS;KE;SS | Africa | |
| 2068 | P126848 | Africa | Africa;Africa | PE | Investment Project Financing | IN | C | N | L | Active | Active | Support for Capacity Dev't of the AUC and othe... | 2014-05-06T00:00:00Z | May | 2018-12-31T00:00:00Z | 25,000,000 | 0 | 25,000,000 | 25,000,000 | 0 | AICA U | AICA U | http://projects.worldbank.org/P126848?lang=en | NaN | NaN | Other Public Administration!$!100!$!BZ | NaN | NaN | NaN | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Regional integration!$!30!$!47 | Other public sector governance!$!70!$!30 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDAH9390;IDAH9390 | NaN | NaN | NaN | NaN | NaN | 0000161322!$!Arusha Region!$!-3!$!36!$!TZ;0000... | 0000161322;0000444178;0000993800;0002413875 | Arusha Region;Adis Abeba Astedader;Johannesbur... | -3;9;-26.202271;13.45 | 36;38.75;28.043631;-16.58333 | TZ;ZA;GM | Africa | |
| 2091 | P149269 | Africa | Africa;Africa | RE | Investment Project Financing | IN | NaN | N | L | Closed | Closed | AFCC2/RI -Support to NPCA TerrAfrica Secretariat | 2014-04-29T00:00:00Z | April | 2018-06-15T00:00:00Z | 2,000,000 | 0 | 0 | 0 | 2,000,000 | PCA | PCA | http://projects.worldbank.org/P149269?lang=en | NaN | NaN | Other Agriculture; Fishing and Forestry!$!100!... | NaN | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Land administration and management!$!50!$!83 | Climate change!$!20!$!81 | Environmental policies and institutions!$!20!$!82 | Water resource management!$!10!$!85 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 2096 | P127086 | Africa | Africa;Africa | GE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2/RI-Sustainable Groundwater Management in... | 2014-04-24T00:00:00Z | April | 2019-06-30T00:00:00Z | NaN | 0 | 0 | 0 | 8,200,000 | SAC EE | SAC SECE | http://projects.worldbank.org/P127086/sustaina... | NaN | NaN | Public Administration - Water; Sanitation and ... | Water Supply!$!25!$!WC | Irrigation and Drainage!$!10!$!AI | NaN | NaN | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!45!$!85 | Climate change!$!20!$!81 | Other environment and natural resources manage... | Regional integration!$!15!$!47 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000933773!$!Gaborone!$!-24.65451!$!25.90859!$... | 0000933773;0001018725 | Gaborone;Bloemfontein | -24.65451;-29.121071 | 25.90859;26.214001 | BW;ZA | Africa | |
| 2105 | P132270 | Europe and Central Asia | Central Asia;Central Asia | PE | Investment Project Financing | IN | B | N | L | Active | Active | Central Asia Road Links - Kyrgyz Republic | 2014-04-22T00:00:00Z | April | 2019-04-30T00:00:00Z | 54,000,000 | 0 | 45,000,000 | 45,000,000 | 0 | IIST | IIST | http://projects.worldbank.org/P132270/central-... | NaN | NaN | Rural and Inter-Urban Roads!$!90!$!TI | Public Administration - Transportation!$!10!$!TF | NaN | NaN | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Transportation | Trade facilitation and market access!$!40!$!49 | Regional integration!$!20!$!47 | Rural services and infrastructure!$!40!$!78 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA54300;IDA54300;IDAH9340 | NaN | NaN | NaN | NaN | NaN | 0001528735!$!Batken!$!40.062592!$!70.819389!$!KG | 0001528735 | Batken | 40.062592 | 70.819389 | KG | Central Asia | |
| 2112 | P126974 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Africa Higher Education Centers of Excellence ... | 2014-04-15T00:00:00Z | April | 2019-12-31T00:00:00Z | 290,800,000 | 0 | 150,000,000 | 150,000,000 | 0 | AICA | ACE SECET | http://projects.worldbank.org/P126974/strength... | NaN | NaN | Tertiary Education!$!60!$!ET | Health!$!15!$!HG | Agricultural Extension; Research; and Other Su... | Oil and Gas!$!5!$!LC | Other Water Supply; Sanitation and Waste Manag... | Tertiary Education;Tertiary Education;Health;A... | NaN | NaN | NaN | NaN | NaN | Education;Education;Health;Agriculture; Fishin... | Health system performance!$!15!$!67 | Education for the knowledge economy!$!75!$!66 | Technology diffusion!$!10!$!48 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA54120;IDA54120;IDA54150;IDA54190;IDA54200;I... | NaN | NaN | NaN | NaN | NaN | 0002279755!$!Yamoussoukro!$!6.82055!$!-5.27674... | 0002279755;0002293538 | Yamoussoukro;Abidjan | 6.82055;5.30966 | -5.2767401;-4.01266 | CI;CI | Western Africa | |
| 2179 | P129408 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2/RI-Regional Pastoral Livelihoods Resilie... | 2014-03-18T00:00:00Z | March | 2019-12-31T00:00:00Z | 122,000,000 | 0 | 122,000,000 | 122,000,000 | 0 | EA UA | NaN | http://projects.worldbank.org/P129408/regional... | NaN | NaN | Livestock!$!60!$!AL | Public Administration - Agriculture; Fishing &... | Agricultural Extension; Research; and Other Su... | Agricultural markets; commercialization and ag... | NaN | Livestock;Livestock;Public Administration - Ag... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Natural disaster management!$!13!$!52 | Rural services and infrastructure!$!8!$!78 | Other rural development!$!45!$!79 | Rural markets!$!25!$!75 | Regional integration!$!9!$!47 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA53850;IDA53850;IDA53880;IDA55450;IDAH9190 | NaN | NaN | NaN | NaN | NaN | 0000178145!$!West Pokot!$!1.75!$!35.25!$!KE;00... | 0000178145;0000178440;0000178914;0000179585;00... | West Pokot;Wajir;Turkana;Tana River;Samburu;Ma... | 1.75;1.75;3;-1.53333;1.33333;2.96667;3.3666699... | 35.25;40.01667;35.5;39.416672;37.116669;37.599... | KE;KE;KE;KE;KE;KE;KE;KE;KE;KE;KE;UG;UG;UG;UG;U... | Africa | |
| 2218 | P147508 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Closed | Closed | CAADP MDTF: African Union Commission (AUC) Chi... | 2014-02-26T00:00:00Z | February | NaN | 2,000,000 | 0 | 0 | 0 | 2,000,000 | AICA U | AICA U | http://projects.worldbank.org/P147508?lang=en | NaN | NaN | Agricultural Extension; Research; and Other Su... | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Forestry!$!20!$!AT | Crops!$!20!$!AH | Fisheries!$!10!$!AF | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!20!$!77 | Climate change!$!20!$!81 | Rural markets!$!20!$!75 | Environmental policies and institutions!$!20!$!82 | Analysis of economic growth!$!20!$!20 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 2219 | P147509 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Closed | Closed | CAADP MDTF: NEPAD Planning and Coordinating Ag... | 2014-02-26T00:00:00Z | February | NaN | 4,500,000 | 0 | 0 | 0 | 4,500,000 | EPA PLA | EPA PLA | http://projects.worldbank.org/P147509?lang=en | NaN | NaN | Agricultural Extension; Research; and Other Su... | Crops!$!20!$!AH | Forestry!$!20!$!AT | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Fisheries!$!10!$!AF | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!20!$!77 | Climate change!$!20!$!81 | Rural markets!$!20!$!75 | Environmental policies and institutions!$!20!$!82 | Analysis of economic growth!$!20!$!20 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 2220 | P147510 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Closed | Closed | CAADP MDTF: Common Market for Eastern and Sout... | 2014-02-26T00:00:00Z | February | NaN | 1,700,000 | 0 | 0 | 0 | 1,700,000 | C A | C A | http://projects.worldbank.org/P147510?lang=en | NaN | NaN | Agricultural Extension; Research; and Other Su... | Crops!$!20!$!AH | Forestry!$!20!$!AT | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Fisheries!$!10!$!AF | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!20!$!77 | Climate change!$!20!$!81 | Rural markets!$!20!$!75 | Environmental policies and institutions!$!20!$!82 | Analysis of economic growth!$!20!$!20 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 2221 | P147511 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Active | Active | CAADP MDTF: Economic Community of Central Afri... | 2014-02-26T00:00:00Z | February | NaN | 2,000,000 | 0 | 0 | 0 | 2,000,000 | ECIC C | ECIC C | http://projects.worldbank.org/P147511?lang=en | NaN | NaN | Agricultural Extension; Research; and Other Su... | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Crops!$!20!$!AH | Forestry!$!20!$!AT | Fisheries!$!10!$!AF | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!20!$!77 | Climate change!$!20!$!81 | Rural markets!$!20!$!75 | Environmental policies and institutions!$!20!$!82 | Analysis of economic growth!$!20!$!20 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 2318 | P147000 | Africa | Western Africa;Western Africa | RE | Investment Project Financing | IN | C | Y | L | Active | Active | Forum for Agricultural Research in Africa MDTF... | 2013-12-13T00:00:00Z | December | NaN | 20,000,000 | 0 | 0 | 0 | 20,000,000 | AA | AA | http://projects.worldbank.org/P147000?lang=en | NaN | NaN | Agricultural Extension; Research; and Other Su... | Tertiary Education!$!10!$!ET | Workforce Development and Vocational Education... | Adult; Basic and Continuing Education!$!5!$!EL | NaN | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!50!$!77 | Rural services and infrastructure!$!50!$!78 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 2330 | P149309 | Africa | Africa;Africa | RE | Investment Project Financing | IN | NaN | N | L | Active | Active | CLEAR Center at the University of Wits | 2013-12-11T00:00:00Z | December | 2018-06-30T00:00:00Z | 3,000,000 | 0 | 0 | 0 | 3,000,000 | UIESIT | UIESIT | http://projects.worldbank.org/P149309?lang=en | NaN | NaN | Other Public Administration!$!100!$!BZ | NaN | NaN | NaN | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Other public sector governance!$!50!$!30 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 2331 | P132448 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Active | Active | Engaging Civil Society for Social and Climate ... | 2013-12-10T00:00:00Z | December | 2019-12-30T00:00:00Z | 1,500,000 | 0 | 0 | 0 | 1,500,000 | ILE ASI | ILE ASI | http://projects.worldbank.org/P132448?lang=en | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Natural disaster management!$!20!$!52 | Participation and civic engagement!$!60!$!57 | Water resource management!$!20!$!85 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000234594!$!Central Region!$!0.5!$!32!$!UG | 0000234594 | Central Region | 0.5 | 32 | UG | Africa | |
| 2338 | P127549 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | C | Y | L | Closed | Closed | ACBF Regional Capacity Building Project - SMTP 3 | 2013-12-05T00:00:00Z | December | NaN | 75,000,000 | 0 | 65,000,000 | 65,000,000 | 0 | AICA CA | AICA CA | http://projects.worldbank.org/P127549?lang=en | NaN | NaN | Other Public Administration!$!50!$!BZ | Central Government (Central Agencies)!$!50!$!BC | NaN | NaN | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Pu... | Poverty strategy; analysis and monitoring!$!25... | Other economic management!$!50!$!24 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 2339 | P131323 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | A | N | L | Active | Active | Senegal River Basin Climate Change Resilience ... | 2013-12-05T00:00:00Z | December | 2021-06-30T00:00:00Z | 212,500,000 | 0 | 212,500,000 | 212,500,000 | 0 | UIEA A | AISATI | http://projects.worldbank.org/P131323/senegal-... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!33!$!AZ | Other Public Administration!$!8!$!BZ | Health!$!17!$!HG | Ports/Waterways!$!3!$!TP | Other Water Supply; Sanitation and Waste Manag... | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Regional integration!$!1!$!47 | Other communicable diseases!$!8!$!64 | Water resource management!$!75!$!85 | Environmental policies and institutions!$!7!$!82 | Malaria!$!9!$!92 | NaN | Global Public Goods Priorities|Millennium Deve... | IDA53210;IDA53210;IDA53220;IDA53230;IDA53660 | NaN | NaN | NaN | NaN | NaN | 0002245662!$!Republic of Senegal!$!14.5!$!-14.... | 0002245662;0002246451;0002248753;0002378080;00... | Republic of Senegal;Saint-Louis;Matam;Islamic ... | 14.5;16.33333;15.16667;20.25;16;17.25;10.83333... | -14.25;-15;-13.66667;-10.5;-12.83333;-13.4;-10... | SN;SN;SN;MR;MR;MR;GN;ML;ML;GN | Western Africa | |
| 2340 | P131353 | Africa | Western Africa;Western Africa | GE | Investment Project Financing | IN | A | Y | L | Active | Active | Senegal River Basin Climate Change Resilience ... | 2013-12-05T00:00:00Z | December | 2021-06-30T00:00:00Z | NaN | 0 | 0 | 0 | 4,000,000 | UIEA A | AISATI | http://projects.worldbank.org/P131353?lang=en | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Other Public Administration!$!13!$!BZ | Central Government (Central Agencies)!$!5!$!BC | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Environmental policies and institutions!$!13!$!82 | Water resource management!$!87!$!85 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0002245662!$!Republic of Senegal!$!14.5!$!-14.... | 0002245662;0002378080;0002420477;0002453866 | Republic of Senegal;Islamic Republic of Maurit... | 14.5;20.25;10.83333;18 | -14.25;-10.5;-10.66667;-2 | SN;MR;GN;ML | Western Africa | |
| 2349 | P147833 | Europe and Central Asia | Caucasus;Caucasus | RE | Investment Project Financing | IN | NaN | N | L | Closed | Closed | ENPI East Countries FLEG II: Georgia and Armenia | 2013-11-28T00:00:00Z | November | 2017-12-31T00:00:00Z | 2,130,000 | 0 | 0 | 0 | 2,130,000 | IUC | IUC | http://projects.worldbank.org/P147833?lang=en | NaN | NaN | Forestry!$!52!$!AT | Public Administration - Agriculture; Fishing &... | ICT Infrastructure!$!8!$!CI | NaN | NaN | Forestry;Forestry;Public Administration - Agri... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Climate change!$!21!$!81 | Gender!$!16!$!59 | Rural policies and institutions!$!21!$!77 | Biodiversity!$!21!$!80 | Environmental policies and institutions!$!21!$!82 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Caucasus | |
| 2390 | P125018 | Africa | Western Africa;Western Africa | RE | Investment Project Financing | IN | NaN | N | L | Closed | Closed | West Africa Regional Disease Surveillance Cap... | 2013-10-22T00:00:00Z | October | 2017-06-30T00:00:00Z | 10,750,000 | 0 | 0 | 0 | 10,000,000 | ECAS | AH | http://projects.worldbank.org/P125018/west-afr... | NaN | NaN | Health!$!100!$!HG | NaN | NaN | NaN | NaN | Health;Health | NaN | NaN | NaN | NaN | NaN | Health;Health | Health system performance!$!100!$!67 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0002245662!$!Republic of Senegal!$!14.5!$!-14.... | 0002245662;0002275384;0002287781;0002300660;00... | Republic of Senegal;Republic of Liberia;Republ... | 14.5;6.5;8;8.1000004;10;12.5;8.6666698;12;9.5;... | -14.25;-9.5;-5.5;-1.2;8;-1.66667;1.08333;-15;2... | SN;LR;CI;GH;NG;BF;TG;GW;BJ;SL;GM;GN;NE;ML;CV | Western Africa | |
| 2412 | P145057 | East Asia and Pacific | Pacific Islands;Pacific Islands | PE | Investment Project Financing | IN | C | N | L | Active | Active | Pacific Aviation Safety Office Reform | 2013-09-30T00:00:00Z | September | 2021-12-31T00:00:00Z | 2,150,000 | 0 | 2,150,000 | 2,150,000 | 0 | PACIIC A | PACIIC A | http://projects.worldbank.org/P145057/pacific-... | NaN | NaN | Public Administration - Information and Commun... | ICT Services!$!3!$!CS | Other Information and Communications Technolog... | Public Administration - Transportation!$!83!$!TF | Aviation!$!12!$!TV | Public Administration - Information and Commun... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Administrative and civil service reform!$!44!$!25 | Regional integration!$!56!$!47 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAD3190;IDAD3190;IDAH8830 | NaN | NaN | NaN | NaN | NaN | 0002135171!$!Port-Vila!$!-17.73381!$!168.32188... | 0002135171 | Port-Vila | -17.73381 | 168.32188 | VU | Pacific Islands | |
| 2427 | P132686 | East Asia and Pacific | Pacific Islands;Pacific Islands | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | FSM and PW Telecoms & ICT TA Project | 2013-09-18T00:00:00Z | September | 2017-08-30T00:00:00Z | 500,000 | 0 | 0 | 0 | 500,000 | EPATET | EPATET | http://projects.worldbank.org/P132686?lang=en | NaN | NaN | ICT Infrastructure!$!100!$!CI | NaN | NaN | NaN | NaN | ICT Infrastructure;ICT Infrastructure | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Regulation and competition policy!$!70!$!40 | State-owned enterprise restructuring and priva... | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Pacific Islands | |
| 2434 | P118213 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | RCIP4 - Regional Communications Infrastructure... | 2013-09-10T00:00:00Z | September | 2019-12-31T00:00:00Z | 22,000,000 | 0 | 22,000,000 | 22,000,000 | 0 | UAAC | ELEAT | http://projects.worldbank.org/P118213/rcip4-re... | NaN | NaN | ICT Infrastructure!$!88!$!CI | Public Administration - Information and Commun... | NaN | NaN | NaN | ICT Infrastructure;ICT Infrastructure;Public A... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Infrastructure services for private sector dev... | Regulation and competition policy!$!14!$!40 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH8780;IDAH8780 | NaN | NaN | NaN | NaN | NaN | 0000921772!$!Moroni!$!-11.70216!$!43.255058!$!KM | 0000921772 | Moroni | -11.70216 | 43.255058 | KM | Africa | |
| 2435 | P132449 | East Asia and Pacific | Pacific Islands;Pacific Islands | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Pacific Catastrophe Risk Assessment and Financ... | 2013-09-10T00:00:00Z | September | 2016-08-31T00:00:00Z | 1,170,000 | 0 | 0 | 0 | 1,170,000 | SECETAIA | SECETAIA | http://projects.worldbank.org/P132449?lang=en | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Other Transportation!$!15!$!TZ | Other Public Administration!$!15!$!BZ | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Climate change!$!30!$!81 | Other environment and natural resources manage... | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0001559532!$!State of Ngatpang!$!7.4868999!$!1... | 0001559532;0001559630;0001559774;0001559776;00... | State of Ngatpang;State of Sonsorol;State of K... | 7.4868999;5.3309999;8.0769997;3.0090001;7.4450... | 134.51978;132.2206;134.69501;131.1236;134.4900... | PW;PW;PW;PW;PW;FM;FM;FM;FM;PG;PG;PG;PG;PG;PG;P... | Pacific Islands | |
| 2440 | P130888 | Africa | Western Africa;Western Africa | GE | Investment Project Financing | IN | C | N | L | Active | Active | Building Resilience through Innovation; Commun... | 2013-09-04T00:00:00Z | September | 2019-06-30T00:00:00Z | NaN | 0 | 0 | 0 | 4,630,000 | SS IUC | SS IUC | http://projects.worldbank.org/P130888/building... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Forestry!$!22!$!AT | Other Agriculture; Fishing and Forestry!$!22!$!AZ | ICT Infrastructure!$!11!$!CI | Other Water Supply; Sanitation and Waste Manag... | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Land administration and management!$!20!$!83 | Biodiversity!$!20!$!80 | Climate change!$!20!$!81 | Environmental policies and institutions!$!20!$!82 | Water resource management!$!20!$!85 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000337996!$!Federal Democratic Republic of Et... | 0000337996;0000366755;0002245662;0002300660;00... | Federal Democratic Republic of Ethiopia;Republ... | 9;16;14.5;8.1000004;10;12.5;8.6666698;20.25;9.... | 39.5;30;-14.25;-1.2;8;-1.66667;1.08333;-10.5;2... | ET;SD;SN;GH;NG;BF;TG;MR;BJ;NE;ML | Western Africa | |
| 2441 | P130640 | Africa | Africa;Africa | RE | Specific Investment Loan | IN | C | N | L | Closed | Closed | CAADP MDTF: SADC Secretariat Child Trust Fund | 2013-09-03T00:00:00Z | September | 2015-12-31T00:00:00Z | 3,900,000 | 0 | 0 | 0 | 3,900,000 | SUTHE A | SUTHE A | http://projects.worldbank.org/P130640?lang=en | NaN | NaN | Agricultural Extension; Research; and Other Su... | Forestry!$!20!$!AT | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Crops!$!20!$!AH | Fisheries!$!10!$!AF | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!20!$!77 | Climate change!$!20!$!81 | Rural markets!$!20!$!75 | Environmental policies and institutions!$!20!$!82 | Analysis of economic growth!$!20!$!20 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 2446 | P130576 | Africa | Africa;Africa | RE | Specific Investment Loan | IN | C | N | L | Closed | Closed | CAADP MTDF: ECONOMIC COMMUNITY OF WEST AFRICAN... | 2013-08-27T00:00:00Z | August | 2015-12-31T00:00:00Z | 4,900,000 | 0 | 0 | 0 | 4,900,000 | ECAS | ECAS C | http://projects.worldbank.org/P130576?lang=en | NaN | NaN | Agricultural Extension; Research; and Other Su... | Crops!$!20!$!AH | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Forestry!$!20!$!AT | Fisheries!$!10!$!AF | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!20!$!77 | Climate change!$!20!$!81 | Rural markets!$!20!$!75 | Environmental policies and institutions!$!20!$!82 | Analysis of economic growth!$!20!$!20 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 2450 | P143367 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Active | Active | AFCC2/RI-African Forum for Agricultural Adviso... | 2013-08-23T00:00:00Z | August | 2018-06-30T00:00:00Z | 7,500,000 | 0 | 0 | 0 | 6,500,000 | AAAS | AAAS | http://projects.worldbank.org/P143367/african-... | NaN | NaN | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!40!$!77 | Rural services and infrastructure!$!30!$!78 | Education for the knowledge economy!$!30!$!66 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000149590!$!United Republic of Tanzania!$!-6!... | 0000149590;0000192950;0000226074;0000927384;00... | United Republic of Tanzania;Republic of Kenya;... | -6;1;1.25;-13.5;9.5;8.5 | 35;38;32.5;34;2.25;-11.5 | TZ;KE;UG;MW;BJ;SL | Africa | |
| 2458 | P075941 | Africa | Eastern Africa;Eastern Africa | PE | Investment Project Financing | IN | A | N | L | Active | Active | AFCC2/RI-Regional Rusumo Falls Hydroelectric P... | 2013-08-06T00:00:00Z | August | 2020-12-31T00:00:00Z | 468,900,000 | 0 | 339,900,000 | 339,900,000 | 0 | UUI | NaN | http://projects.worldbank.org/P075941/nelsap-r... | NaN | NaN | Renewable Energy Hydro!$!97!$!LH | Social Protection!$!3!$!SA | NaN | NaN | NaN | Renewable Energy Hydro;Renewable Energy Hydro;... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Other social protection and risk management!$!... | Other urban development!$!86!$!74 | Pollution management and environmental health!... | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA52950;IDA52950;IDA52960;IDAH8720;IDAH8730 | NaN | NaN | NaN | NaN | NaN | 0000150387!$!Rusumo!$!-2.385!$!30.78583!$!TZ;0... | 0000150387;0007663184 | Rusumo;Kiyanzi | -2.385;-2.3673 | 30.78583;30.762569 | TZ;RW | Eastern Africa | |
| 2493 | P145160 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | Y | L | Active | Active | Additional Financing-West Africa Agricultural ... | 2013-06-28T00:00:00Z | June | NaN | 60,000,000 | 0 | 60,000,000 | 60,000,000 | 0 | EET | NaN | http://projects.worldbank.org/P145160/addition... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Public Administration - Agriculture; Fishing &... | Agricultural markets; commercialization and ag... | NaN | NaN | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Regional integration!$!25!$!47 | Technology diffusion!$!35!$!48 | Public expenditure; financial management and p... | Rural services and infrastructure!$!35!$!78 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 2568 | P123093 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | West Africa Regional Communications Infrastruc... | 2013-05-30T00:00:00Z | May | 2020-05-31T00:00:00Z | 81,500,000 | 0 | 60,000,000 | 60,000,000 | 0 | IISTIES | NaN | http://projects.worldbank.org/P123093/west-afr... | NaN | NaN | Other Public Administration!$!9!$!BZ | Public Administration - Information and Commun... | ICT Infrastructure!$!62!$!CI | Other Information and Communications Technolog... | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;In... | Regional integration!$!25!$!47 | Infrastructure services for private sector dev... | Regulation and competition policy!$!28!$!40 | Technology diffusion!$!20!$!48 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA52530;IDA52530;IDA52550 | NaN | NaN | NaN | NaN | NaN | 0002365267!$!Lome!$!6.1374798!$!1.21227!$!TG;0... | 0002365267;0002375742;0002377450;0002378903;00... | Lome;Wilaya du Trarza;Nouakchott;Inchiri;Hodh ... | 6.1374798;17.866501;18.08581;20;16.58333;18.88... | 1.21227;-14.65878;-15.9785;-15.08333;-9.833330... | TG;MR;MR;MR;MR;MR;MR;MR;MR;MR;MR | Western Africa | |
| 2573 | P145909 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Closed | Closed | Afrobarometer Governance Perception Surv | 2013-05-30T00:00:00Z | May | 2016-12-31T00:00:00Z | 3,210,000 | 0 | 0 | 0 | 3,210,000 | CETE | CETE | http://projects.worldbank.org/P145909?lang=en | NaN | NaN | Other Public Administration!$!100!$!BZ | NaN | NaN | NaN | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Other public sector governance!$!100!$!30 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 2587 | P120370 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Southern Africa Trade and Transport Facilitati... | 2013-05-21T00:00:00Z | May | 2018-12-31T00:00:00Z | 213,000,000 | 0 | 213,000,000 | 213,000,000 | 0 | TAAIA | TAAS | http://projects.worldbank.org/P120370/southern... | NaN | NaN | Rural and Inter-Urban Roads!$!84!$!TI | Public Administration - Transportation!$!11!$!TF | Public Administration - Health!$!5!$!HF | NaN | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Transportation;H... | Regional integration!$!23!$!47 | Trade facilitation and market access!$!68!$!49 | HIV/AIDS!$!2!$!88 | Other urban development!$!7!$!74 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA52480;IDA52480;IDAH8440 | NaN | NaN | NaN | NaN | NaN | 0000154375!$!Mbeya Region!$!-8.1999998!$!33.33... | 0000154375;0000155405 | Mbeya Region;Mafinga | -8.1999998;-7.25 | 33.333328;35.066669 | TZ;TZ | Africa | |
| 2690 | P094183 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2/RI Agricultural Productivity Program for... | 2013-03-14T00:00:00Z | March | 2020-01-31T00:00:00Z | 94,640,000 | 0 | 90,000,000 | 90,000,000 | 0 | ALAI | CCAESA A | http://projects.worldbank.org/P094183/agricult... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Public Administration - Agriculture; Fishing &... | Crops!$!3!$!AH | Irrigation and Drainage!$!3!$!AI | Other Agriculture; Fishing and Forestry!$!3!$!AZ | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural services and infrastructure!$!80!$!78 | Technology diffusion!$!10!$!48 | Regional integration!$!10!$!47 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA52030;IDA52030;IDA52040;IDA52050;IDAH8280 | NaN | NaN | NaN | NaN | NaN | 0000909129!$!Lusaka Province!$!-15.41667!$!29!... | 0000909129;0000931597;0000933851;0001040649 | Lusaka Province;Central Region;Central Distric... | -15.41667;-13.5;-22;-25.5 | 29;34;26;32.333328 | ZM;MW;BW;MZ | Africa | |
| 2755 | P130694 | Africa | Africa;Africa | RE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2/RI-Nile Cooperation for Results Project | 2012-12-26T00:00:00Z | December | 2020-11-30T00:00:00Z | 15,300,000 | 0 | 0 | 0 | 15,300,000 | ILE ASI | ILE ASI | http://projects.worldbank.org/P130694/nile-bas... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!74!$!85 | Participation and civic engagement!$!10!$!57 | Environmental policies and institutions!$!16!$!82 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000049518!$!Republic of Rwanda!$!-2!$!30!$!RW... | 0000049518;0000149590;0000192950;0000203312;00... | Republic of Rwanda;United Republic of Tanzania... | -2;-6;1;-2.5;1.25;9;27;16;-3.5;7.5 | 30;35;38;23.5;32.5;39.5;30;30;30;30 | RW;TZ;KE;CD;UG;ET;EG;SD;BI;SS | Africa | |
| 2817 | P133255 | East Asia and Pacific | Pacific Islands;Pacific Islands | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Pacific catastrophe risk insurance pilot program | 2012-11-09T00:00:00Z | November | 2016-01-31T00:00:00Z | 3,000,000 | 0 | 0 | 0 | 3,000,000 | PATICIPAT | PATICIPAT | http://projects.worldbank.org/P133255/pacific-... | NaN | NaN | Insurance and Pension!$!80!$!FD | Other Water Supply; Sanitation and Waste Manag... | Other Transportation!$!3!$!TZ | Other Public Administration!$!3!$!BZ | NaN | Insurance and Pension;Insurance and Pension;Ot... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector;Water; Sanit... | Climate change!$!20!$!81 | Natural disaster management!$!30!$!52 | Debt management and fiscal sustainability!$!30... | Other environment and natural resources manage... | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Pacific Islands | |
| 2826 | P132789 | Africa | Western Africa;Western Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | CLEAR Francophone Africa | 2012-11-05T00:00:00Z | November | 2016-05-30T00:00:00Z | 270,000 | 0 | 0 | 0 | 270,000 | CESA | CETE A | http://projects.worldbank.org/P132789?lang=en | NaN | NaN | Other Public Administration!$!100!$!BZ | NaN | NaN | NaN | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Other public sector governance!$!50!$!30 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 2855 | P130174 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | A | N | L | Active | Active | First Part of the Second Phase of the Niger Ba... | 2012-10-02T00:00:00Z | October | 2021-04-01T00:00:00Z | 785,040,000 | 0 | 203,000,000 | 203,000,000 | 0 | EET | IE ASI | http://projects.worldbank.org/P130174/first-pa... | NaN | NaN | Sub-National Government!$!25!$!BH | Irrigation and Drainage!$!25!$!AI | Renewable Energy Hydro!$!25!$!LH | Social Protection!$!15!$!SA | Agricultural Extension; Research; and Other Su... | Sub-National Government;Sub-National Governmen... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Ag... | Municipal governance and institution building!... | Water resource management!$!30!$!85 | Rural services and infrastructure!$!20!$!78 | Regional integration!$!30!$!47 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH8050;IDAH8050;IDAH9520;IDAH9530;IDA51650;I... | NaN | NaN | NaN | NaN | NaN | 0002595293!$!Tillaberi!$!14.33333!$!2.0833299!... | 0002595293 | Tillaberi | 14.33333 | 2.0833299 | NE | Western Africa | |
| 2911 | P125407 | Africa | Africa;Africa | RE | Learning and Innovation Loan | IN | C | N | L | Closed | Closed | WCO/World Bank Customs Capacity Enhancement (C... | 2012-08-01T00:00:00Z | August | 2014-10-31T00:00:00Z | 3,020,000 | 0 | 0 | 0 | 3,020,000 | L CUST | CAPACIT | http://projects.worldbank.org/P125407?lang=en | NaN | NaN | Other Industry; Trade and Services!$!50!$!YZ | Trade!$!25!$!YY | ICT Services!$!13!$!CS | Public Administration - Information and Commun... | Other Information and Communications Technolog... | Other Industry; Trade and Services;Other Indus... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | Trade facilitation and market access!$!50!$!49 | Other trade and integration!$!50!$!50 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 2921 | P130422 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | B | Y | L | Active | Active | CEMAC Transport and Transit Facilitation- Thir... | 2012-07-26T00:00:00Z | July | NaN | 125,000,000 | 0 | 125,000,000 | 125,000,000 | 0 | CETAL A | IIST | http://projects.worldbank.org/P130422?lang=en | NaN | NaN | Rural and Inter-Urban Roads!$!85!$!TI | Public Administration - Transportation!$!10!$!TF | Other Transportation!$!5!$!TZ | NaN | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Transportation;T... | Trade facilitation and market access!$!52!$!49 | HIV/AIDS!$!1!$!88 | Rural services and infrastructure!$!46!$!78 | Gender!$!1!$!59 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 2933 | P126579 | Africa | Africa;Africa | PE | Investment Project Financing | IN | A | N | L | Active | Active | AFCC2/RI-The Eastern Electricity Highway Proje... | 2012-07-12T00:00:00Z | July | 2019-06-30T00:00:00Z | 1,262,500,000 | 0 | 684,000,000 | 684,000,000 | 0 | EET | EET | http://projects.worldbank.org/P126579/regional... | NaN | NaN | Energy Transmission and Distribution!$!93!$!LT | Other Energy and Extractives!$!6!$!LZ | Central Government (Central Agencies)!$!1!$!BC | NaN | NaN | Energy Transmission and Distribution;Energy Tr... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Rural services and infrastructure!$!8!$!78 | Regional integration!$!87!$!47 | Infrastructure services for private sector dev... | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA51480;IDA51480;IDA51490 | NaN | NaN | NaN | NaN | NaN | 0000400741!$!Eastern Province!$!0!$!38!$!KE;00... | 0000400741;0000400742;0000400744;0000444185 | Eastern Province;Central Province;Rift Valley ... | 0;-0.75;0.5;8 | 38;37;36;39 | KE;KE;KE;ET | Africa | |
| 2935 | P130184 | Africa | Western Africa;Western Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | WARCIP APL 1C - Benin | 2012-07-12T00:00:00Z | July | 2017-06-10T00:00:00Z | 35,000,000 | 0 | 35,000,000 | 35,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P130184/warcip-a... | NaN | NaN | ICT Infrastructure!$!96!$!CI | Public Administration - Information and Commun... | NaN | NaN | NaN | ICT Infrastructure;ICT Infrastructure;Public A... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Infrastructure services for private sector dev... | Regional integration!$!40!$!47 | Regulation and competition policy!$!20!$!40 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA51430;IDA51430 | NaN | NaN | NaN | NaN | NaN | 0002394819!$!Cotonou!$!6.3653598!$!2.41833!$!BJ | 0002394819 | Cotonou | 6.3653598 | 2.41833 | BJ | Western Africa | |
| 2937 | P131488 | Africa | Eastern Africa;Eastern Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Piloting Virtual Incubation Services in East A... | 2012-07-12T00:00:00Z | July | 2013-06-30T00:00:00Z | 180,000 | 0 | 0 | 0 | 180,000 | AILAS | AILAS C | http://projects.worldbank.org/P131488?lang=en | NaN | NaN | Other Information and Communications Technolog... | NaN | NaN | NaN | NaN | Other Information and Communications Technolog... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Eastern Africa | |
| 2953 | P126421 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | A | Y | L | Closed | Closed | Second Additional Financing for Southern Afric... | 2012-06-28T00:00:00Z | June | NaN | 201,500,000 | 0 | 201,500,000 | 201,500,000 | 0 | ECATIC | SCIETE A | http://projects.worldbank.org/P126421/second-a... | NaN | NaN | Energy Transmission and Distribution!$!100!$!LT | NaN | NaN | NaN | NaN | Energy Transmission and Distribution;Energy Tr... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Export development and competitiveness!$!25!$!45 | Infrastructure services for private sector dev... | Regional integration!$!37!$!47 | NaN | NaN | NaN | Global Public Goods Priorities|Corporate Advoc... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 2965 | P126663 | Africa | Africa;Africa | PE | Investment Project Financing | IN | C | N | L | Active | Active | Improved Investment Climate within the Organiz... | 2012-06-26T00:00:00Z | June | 2022-12-30T00:00:00Z | 15,000,000 | 0 | 15,000,000 | 15,000,000 | 0 | HAA | HAA | http://projects.worldbank.org/P126663/improved... | NaN | NaN | Law and Justice!$!40!$!BG | Public Administration - Financial Sector!$!30!... | Public Administration - Industry; Trade and Se... | NaN | NaN | Law and Justice;Law and Justice;Public Adminis... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Fi... | Legal services!$!10!$!35 | Regulation and competition policy!$!31!$!40 | Judicial and other dispute resolution mechanis... | International financial standards and systems!... | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH7990;IDAH7990 | NaN | NaN | NaN | NaN | NaN | 0002220957!$!Yaounde!$!3.8666699!$!11.51667!$!CM | 0002220957 | Yaounde | 3.8666699 | 11.51667 | CM | Africa | |
| 2997 | P113266 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | A | N | L | Active | Active | WAPP APL4 (Phase 1) - Côte d'Ivoire; Sier... | 2012-05-31T00:00:00Z | May | 2020-12-15T00:00:00Z | 472,500,000 | 0 | 176,000,000 | 176,000,000 | 0 | CTE I | EST AIC | http://projects.worldbank.org/P113266/wapp-apl... | NaN | NaN | Energy Transmission and Distribution!$!53!$!LT | Public Administration - Energy and Extractives... | NaN | NaN | NaN | Energy Transmission and Distribution;Energy Tr... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Regulation and competition policy!$!25!$!40 | Infrastructure services for private sector dev... | Conflict prevention and post-conflict reconstr... | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA61480;IDA61480;IDA61500;IDAD2470;IDAH7700;I... | NaN | NaN | NaN | NaN | NaN | 0002275384!$!Republic of Liberia!$!6.5!$!-9.5!... | 0002275384;0002278324;0002287781;0002403068;00... | Republic of Liberia;Bomi County;Republic of Cô... | 6.5;6.7333298;8;8.3333302;8.5;10.83333;9.6070299 | -9.5;-10.81667;-5.5;-13.11667;-11.5;-10.66667;... | LR;CI;SL;GN;GN | Western Africa | |
| 2998 | P116323 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Abidjan-Lagos Trade and Transport Facilitatio... | 2012-05-31T00:00:00Z | May | 2019-03-29T00:00:00Z | 148,000,000 | 0 | 90,000,000 | 90,000,000 | 0 | EPULIC | IIST | http://projects.worldbank.org/P116323/abidjan-... | NaN | NaN | Rural and Inter-Urban Roads!$!89!$!TI | Ports/Waterways!$!3!$!TP | Public Administration - Industry; Trade and Se... | Trade!$!2!$!YY | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Transportation;I... | Injuries and non-communicable diseases!$!2!$!89 | Trade facilitation and market access!$!50!$!49 | Infrastructure services for private sector dev... | Regional integration!$!13!$!47 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH7870;IDAH7870 | NaN | NaN | NaN | NaN | NaN | 0002283307!$!Noe!$!5.29388!$!-2.78478!$!CI;000... | 0002283307;0002288115;0002293507 | Noe;Grand-Bassam;Aboisso | 5.29388;5.2118001;5.4677901 | -2.78478;-3.7388401;-3.2071099 | CI;CI;CI | Western Africa | |
| 3020 | P129565 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | West Africa Agricultural Productivity Program 2A | 2012-05-22T00:00:00Z | May | 2018-12-31T00:00:00Z | 135,000,000 | 0 | 120,000,000 | 120,000,000 | 0 | HAA AL | CAECA | http://projects.worldbank.org/P129565/west-afr... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Public Administration - Agriculture; Fishing &... | Agricultural markets; commercialization and ag... | NaN | NaN | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Regional integration!$!25!$!47 | Technology diffusion!$!35!$!48 | Public expenditure; financial management and p... | Rural services and infrastructure!$!35!$!78 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA51350;IDA51350;IDA52860;IDA58110;IDA51360 | NaN | NaN | NaN | NaN | NaN | 0002253350!$!Region de Dakar!$!14.76667!$!-17.... | 0002253350;0002300569;0002460594 | Region de Dakar;Greater Accra Region;Bamako Re... | 14.76667;5.75;12.65 | -17.283331;0;-8 | SN;GH;ML | Western Africa | |
| 3026 | P129551 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | B | Y | L | Active | Active | Burundi Public Health Laboratory Networking Pr... | 2012-05-17T00:00:00Z | May | NaN | 15,000,000 | 0 | 15,000,000 | 15,000,000 | 0 | IIST | NaN | http://projects.worldbank.org/P129551/burundi-... | NaN | NaN | Health!$!100!$!HG | NaN | NaN | NaN | NaN | Health;Health | NaN | NaN | NaN | NaN | NaN | Health;Health | Child health!$!18!$!63 | HIV/AIDS!$!18!$!88 | Malaria!$!18!$!92 | Health system performance!$!28!$!67 | Tuberculosis!$!18!$!93 | NaN | Corporate Advocacy Priorities|Millennium Devel... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 3029 | P129389 | Latin America and Caribbean | Central America;Central America | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Central American Private Sector Initiative | 2012-05-16T00:00:00Z | May | 2014-09-30T00:00:00Z | 400,000 | 0 | 0 | 0 | 400,000 | ICAE | ICAE | http://projects.worldbank.org/P129389/central-... | NaN | NaN | Other Industry; Trade and Services!$!100!$!YZ | NaN | NaN | NaN | NaN | Other Industry; Trade and Services;Other Indus... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | Other economic management!$!100!$!24 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central America | |
| 3034 | P124351 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | Kafue-Muzuma-Victoria Falls Regional Transmiss... | 2012-05-15T00:00:00Z | May | 2018-06-29T00:00:00Z | 110,000,000 | 0 | 60,000,000 | 60,000,000 | 0 | EPULIC | ESC LII | http://projects.worldbank.org/P124351/zambia-k... | NaN | NaN | Energy Transmission and Distribution!$!92!$!LT | Public Administration - Energy and Extractives... | NaN | NaN | NaN | Energy Transmission and Distribution;Energy Tr... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Infrastructure services for private sector dev... | Rural services and infrastructure!$!50!$!78 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA50900;IDA50900 | NaN | NaN | NaN | NaN | NaN | 0000909845!$!Luapula Province!$!-11!$!29!$!ZM | 0000909845 | Luapula Province | -11 | 29 | ZM | Africa | |
| 3167 | P130212 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | AFR 9: Strengthening Business Incubation Manag... | 2012-03-05T00:00:00Z | March | 2013-06-30T00:00:00Z | 50,000 | 0 | 0 | 0 | 50,000 | T E ETE | T E ETE | http://projects.worldbank.org/P130212?lang=en | NaN | NaN | Banking Institutions!$!75!$!FA | Other Non-bank Financial Institutions!$!25!$!FL | NaN | NaN | NaN | Banking Institutions;Banking Institutions;Othe... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector;Financial Se... | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 3212 | P126061 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Time Release Studies on Measuring and Benchmar... | 2012-01-17T00:00:00Z | January | 2013-02-28T00:00:00Z | 800,000 | 0 | 0 | 0 | 800,000 | CESA | CESA | http://projects.worldbank.org/P126061/time-rel... | NaN | NaN | Rural and Inter-Urban Roads!$!100!$!TI | NaN | NaN | NaN | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | Other trade and integration!$!50!$!50 | Regional integration!$!50!$!47 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 3291 | P123896 | Europe and Central Asia | Western Balkans;Western Balkans | GE | Specific Investment Loan | IN | C | Y | L | Closed | Closed | Southeast Europe and Caucasus Catastrophe Risk... | 2011-11-10T00:00:00Z | November | 2015-12-31T00:00:00Z | 27,000,000 | 0 | 0 | 0 | 5,500,000 | NaN | EUPA E | http://projects.worldbank.org/P123896/seec-cri... | NaN | NaN | Insurance and Pension!$!100!$!FD | NaN | NaN | NaN | NaN | Insurance and Pension;Insurance and Pension | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Climate change!$!20!$!81 | Natural disaster management!$!30!$!52 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000718075!$!Republic of Macedonia!$!41.666672... | 0000718075;0000783754;0006290252 | Republic of Macedonia;Republic of Albania;Serbia | 41.666672;41;44.81892 | 21.75;20;20.45998 | MK;AL;RS | Western Balkans | |
| 3307 | P128725 | East Asia and Pacific | Pacific Islands;Pacific Islands | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Regional Institutional Strengthening and Knowl... | 2011-10-25T00:00:00Z | October | 2015-06-30T00:00:00Z | 350,000 | 0 | 0 | 0 | 350,000 | UHAITAT | UHAITAT | http://projects.worldbank.org/P128725/regional... | NaN | NaN | Other Public Administration!$!100!$!BZ | NaN | NaN | NaN | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Other urban development!$!100!$!74 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Pacific Islands | |
| 3338 | P127949 | Africa | Africa;Africa | PE | Emergency Recovery Loan | IN | B | N | L | Closed | Closed | AFCC2/RI Horn of Africa Emergency Health and N... | 2011-09-15T00:00:00Z | September | 2013-03-29T00:00:00Z | 30,000,000 | 0 | 30,000,000 | 30,000,000 | 0 | UHC | UHC | http://projects.worldbank.org/P127949/horn-afr... | NaN | NaN | Health!$!56!$!HG | Sanitation!$!22!$!WA | Water Supply!$!22!$!WC | NaN | NaN | Health;Health;Sanitation;Water Supply | NaN | NaN | NaN | NaN | NaN | Health;Health;Water; Sanitation and Waste Mana... | Other communicable diseases!$!33!$!64 | Nutrition and food security!$!22!$!68 | Child health!$!45!$!63 | NaN | NaN | NaN | Corporate Advocacy Priorities|Global Public Go... | IDAH7350;IDAH7350 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 3360 | P126851 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Strengthening ICPAC as a regional centre of ex... | 2011-08-08T00:00:00Z | August | 2012-12-31T00:00:00Z | 410,000 | 0 | 0 | 0 | 410,000 | ICPAC | ICPAC | http://projects.worldbank.org/P126851/strength... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Other Water Supply; Sanitation and Waste Manag... | Other Transportation!$!8!$!TZ | Other Public Administration!$!8!$!BZ | NaN | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Water resource management!$!30!$!85 | Natural disaster management!$!40!$!52 | Climate change!$!30!$!81 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 3361 | P120185 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Cabo Verde Statistical Capacity Building | 2011-08-05T00:00:00Z | August | 2017-01-31T00:00:00Z | 290,000 | 0 | 0 | 0 | 290,000 | CA EE | ISTITUT | http://projects.worldbank.org/P120185/cape-ver... | NaN | NaN | Central Government (Central Agencies)!$!100!$!BC | NaN | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Economic statistics; modeling and forecasting!... | Poverty strategy; analysis and monitoring!$!50... | NaN | NaN | NaN | NaN | Global Public Goods Priorities;Global Public G... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 3362 | P103470 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | GE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Sustainable Financing & Management of Eastern ... | 2011-08-04T00:00:00Z | August | 2016-12-31T00:00:00Z | NaN | 0 | 0 | 0 | 8,750,000 | EIAL | THE ATUE | http://projects.worldbank.org/P103470/sustaina... | NaN | NaN | Public Administration - Water; Sanitation and ... | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Biodiversity!$!50!$!80 | Environmental policies and institutions!$!50!$!82 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0003575174!$!Federation of Saint Kitts and Nev... | 0003575174;0003575830;0003576396;0003576468;00... | Federation of Saint Kitts and Nevis;Dominica;A... | 17.33333;15.5;17.049999;13.88333;13.08333;12.1... | -62.75;-61.333328;-61.799999;-60.966671;-61.20... | KN;DM;AG;LC;VC;GD | Organization of Eastern Caribbean States | |
| 3388 | P124710 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | East African Community (EAC) Regional Statisti... | 2011-07-18T00:00:00Z | July | 2013-06-30T00:00:00Z | 280,000 | 0 | 0 | 0 | 280,000 | EAST AIC | EAST AIC | http://projects.worldbank.org/P124710/east-afr... | NaN | NaN | Central Government (Central Agencies)!$!100!$!BC | NaN | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Macroeconomic management!$!30!$!23 | Regional integration!$!30!$!47 | Poverty strategy; analysis and monitoring!$!40... | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 3392 | P113167 | Africa | Africa;Africa | GE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2/RI-Enhancing Institutional Capacities on... | 2011-07-14T00:00:00Z | July | 2018-07-31T00:00:00Z | 16,000,000 | 0 | 0 | 0 | 13,000,000 | C ASI | CIAC | http://projects.worldbank.org/P113167/enhancin... | NaN | NaN | Forestry!$!57!$!AT | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | Forestry;Forestry;Public Administration - Agri... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Participation and civic engagement!$!15!$!57 | Biodiversity!$!20!$!80 | Environmental policies and institutions!$!15!$!82 | Climate change!$!50!$!81 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000203312!$!Democratic Republic of the Congo!... | 0000203312;0000239880;0002233387;0002260494;00... | Democratic Republic of the Congo;Central Afric... | -2.5;7;6;-1;1.7;-1 | 23.5;21;12.5;15.5;10.5;11.75 | CD;CF;CM;CG;GQ;GA | Africa | |
| 3401 | P116805 | Africa | Africa;Africa | GM | Specific Investment Loan | IN | C | N | L | Closed | Closed | Capacity Building for Regional Coordination of... | 2011-07-11T00:00:00Z | July | 2014-12-31T00:00:00Z | 1,920,000 | 0 | 0 | 0 | 820,000 | EET | CIAC | http://projects.worldbank.org/P116805/capacity... | NaN | NaN | Forestry!$!70!$!AT | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | Forestry;Forestry;Agricultural Extension; Rese... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Biodiversity!$!10!$!80 | Land administration and management!$!10!$!83 | Other environment and natural resources manage... | Environmental policies and institutions!$!15!$!82 | Climate change!$!50!$!81 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0002220957!$!Yaounde!$!3.8666699!$!11.51667!$!3A | 0002220957 | Yaounde | 3.8666699 | 11.51667 | 3A | Africa | |
| 3415 | P116542 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | AFR:Central African Backbone - APL1B | 2011-06-30T00:00:00Z | June | 2012-12-17T00:00:00Z | 58,000,000 | 0 | 50,000,000 | 50,000,000 | 0 | EET | ELEAT | http://projects.worldbank.org/P116542/afrcentr... | NaN | NaN | ICT Infrastructure!$!92!$!CI | Public Administration - Information and Commun... | Social Protection!$!1!$!SA | NaN | NaN | ICT Infrastructure;ICT Infrastructure;Public A... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Infrastructure services for private sector dev... | Regulation and competition policy!$!10!$!40 | Regional integration!$!34!$!47 | Technology diffusion!$!8!$!48 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA49950;IDA49950;IDA49960;IDAH7220;IDAH7230 | NaN | NaN | NaN | NaN | NaN | 0000242246!$!Region du Ouaddai!$!13.5!$!21.25!... | 0000242246;0000245669;0002383650;0002383653;00... | Region du Ouaddai;Adre;Prefecture de l' Ouham-... | 13.5;13.46667;6.75;7;5.0833302;7.0616002;4.361... | 21.25;22.200001;16.08333;18;18;17.8291;18.5549... | 3A;3A;3A;3A;3A;3A;CF;TD;3A;3A;3A;3A;3A;3A;3A;3A | Africa | |
| 3424 | P094919 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | WAPP: The First Phase of the Inter-Zonal Trans... | 2011-06-29T00:00:00Z | June | 2018-12-31T00:00:00Z | 111,000,000 | 0 | 41,900,000 | 41,900,000 | 0 | UIA A | SAEL A | http://projects.worldbank.org/P094919/wapp-int... | NaN | NaN | Energy Transmission and Distribution!$!65!$!LT | Public Administration - Energy and Extractives... | ICT Infrastructure!$!10!$!CI | NaN | NaN | Energy Transmission and Distribution;Energy Tr... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Rural services and infrastructure!$!10!$!78 | Regional integration!$!80!$!47 | Other urban development!$!10!$!74 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA49710;IDA49710;IDAH7190 | NaN | NaN | NaN | NaN | NaN | 0002302821!$!Bolgatanga!$!10.78556!$!-0.85139!... | 0002302821;0002306462;0002353169;0002353430;00... | Bolgatanga;Abadzi;Province du Zoundweogo;Zagto... | 10.78556;5.1999998;11.58333;12.32944;12.36566;... | -0.85139;-1.08333;-1;-1.62528;-1.53388;-1.25;-... | 3A;3A;3A;3A;3A;3A;3A;3A;3A;3A;3A;3A | Western Africa | |
| 3427 | P114782 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | Y | L | Active | Active | Additonal Financing for the Regional and Domes... | 2011-06-28T00:00:00Z | June | NaN | 380,000,000 | 0 | 283,000,000 | 283,000,000 | 0 | ECATIC | SELIIS | http://projects.worldbank.org/P114782/additona... | NaN | NaN | Renewable Energy Hydro!$!52!$!LH | Energy Transmission and Distribution!$!39!$!LT | Public Administration - Energy and Extractives... | NaN | NaN | Renewable Energy Hydro;Renewable Energy Hydro;... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Climate change!$!13!$!81 | Infrastructure services for private sector dev... | Rural services and infrastructure!$!25!$!78 | Export development and competitiveness!$!24!$!45 | Regional integration!$!13!$!47 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0002312096!$!Ndolo!$!-4.3109899!$!15.32735!$!3... | 0002312096;0002312102;0002314291;0002314302;00... | Ndolo;Ndjili;Kinsuka;Kinshasa;Kimwenza;Kibanse... | -4.3109899;-4.4626799;-4.3338399;-4.32758;-4.4... | 15.32735;15.34701;15.2188;15.31357;15.28778;15... | 3A;3A;3A;3A;3A;3A;3A;3A | Africa | |
| 3431 | P124242 | Africa | Western Africa;Western Africa | RE | Adaptable Program Loan | IN | B | Y | L | Active | Active | West Africa Regional Fisheries Program APL A1 ... | 2011-06-28T00:00:00Z | June | 2016-09-30T00:00:00Z | 10,000,000 | 0 | 0 | 0 | 10,000,000 | SI | IISTIES | http://projects.worldbank.org/P124242?lang=en | NaN | NaN | Public Administration - Agriculture; Fishing &... | Fisheries!$!25!$!AF | Livestock!$!25!$!AL | NaN | NaN | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Other environment and natural resources manage... | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 3432 | P124844 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | Y | L | Closed | Closed | West Africa Regional Fisheries Program APL A1 ... | 2011-06-28T00:00:00Z | June | NaN | 12,000,000 | 0 | 2,000,000 | 2,000,000 | 0 | SUEI | SUEI | http://projects.worldbank.org/P124844/west-afr... | NaN | NaN | Public Administration - Agriculture; Fishing &... | Fisheries!$!25!$!AF | Livestock!$!25!$!AL | NaN | NaN | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Other environment and natural resources manage... | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0002274895!$!Monrovia!$!6.30054!$!-10.7969!$!3... | 0002274895;0002409306 | Monrovia;Freetown | 6.30054;8.4840002 | -10.7969;-13.22994 | 3A;3A | Africa | |
| 3443 | P117871 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | PE | Investment Project Financing | IN | B | N | L | Active | Active | Regional Disaster Vulnerability Reduction APL1... | 2011-06-23T00:00:00Z | June | 2018-12-31T00:00:00Z | 53,120,000 | 0 | 20,920,000 | 20,920,000 | 0 | EET | EET | http://projects.worldbank.org/P117871/oecs-dis... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Aviation!$!24!$!TV | Other Transportation!$!10!$!TZ | Other Public Administration!$!10!$!BZ | Public Administration - Water; Sanitation and ... | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Natural disaster management!$!65!$!52 | Water resource management!$!35!$!85 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA49850;IDA49850;IDA49860;IDA54500 | NaN | NaN | NaN | NaN | NaN | 0003577794!$!Union Island!$!12.6!$!-61.433331!... | 0003577794;0003577887;0003577900;0003577968;00... | Union Island;Kingstown;Georgetown;Arnos Vale;G... | 12.6;13.15872;13.2879;13.13333;12.16462;12.066... | -61.433331;-61.224751;-61.130199;-61.216671;-6... | 6O;6O;6O;6O;6O;6O;6O;6O;6O;6O;6O;6O | Organization of Eastern Caribbean States | |
| 3444 | P121354 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | A | Y | L | Closed | Closed | East Africa Trade and Transport Facilitation P... | 2011-06-23T00:00:00Z | June | NaN | 30,000,000 | 0 | 30,000,000 | 30,000,000 | 0 | IIST | IIST | http://projects.worldbank.org/P121354/east-afr... | NaN | NaN | Ports/Waterways!$!100!$!TP | NaN | NaN | NaN | NaN | Ports/Waterways;Ports/Waterways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | Trade facilitation and market access!$!40!$!49 | Regional integration!$!60!$!47 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000160263!$!Dar es Salaam!$!-6.8234901!$!39.2... | 0000160263;0000179525;0000186301;0000187661;00... | Dar es Salaam;Taveta;Mombasa;Mariakani;Kibera;... | -6.8234901;-3.3987899;-4.0546598;-3.8633201;-1... | 39.269508;37.683361;39.663589;39.473621;36.783... | 3A;3A;3A;3A;3A;3A;3A;3A;3A;3A;3A | Africa | |
| 3448 | P125915 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | B | Y | L | Active | Active | Africa: CEMAC Transport and Transit Facil - S... | 2011-06-23T00:00:00Z | June | NaN | 112,000,000 | 0 | 112,000,000 | 112,000,000 | 0 | EPULIC | CELLULE | http://projects.worldbank.org/P125915?lang=en | NaN | NaN | Rural and Inter-Urban Roads!$!95!$!TI | Public Administration - Transportation!$!5!$!TF | NaN | NaN | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Transportation | Regional integration!$!40!$!47 | Trade facilitation and market access!$!60!$!49 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0002220957!$!Yaounde!$!3.8666699!$!11.51667!$!... | 0002220957;0002221059;0002221489;0002222269;00... | Yaounde;Departement du Wouri;Tilde Logone;Depa... | 3.8666699;4;12.11834;4;10.59095;12.08333;4.199... | 11.51667;9.6666698;14.75933;10.33333;14.31593;... | 3A;3A;3A;3A;3A;3A;3A;3A;3A;3A;3A;3A;3A | Africa | |
| 3455 | P122402 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | West Africa Regional Communications Infrastruc... | 2011-06-21T00:00:00Z | June | 2021-06-30T00:00:00Z | 92,000,000 | 0 | 92,000,000 | 92,000,000 | 0 | A | ELEAT | http://projects.worldbank.org/P122402/west-afr... | NaN | NaN | Public Administration - Information and Commun... | ICT Infrastructure!$!78!$!CI | NaN | NaN | NaN | Public Administration - Information and Commun... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Regulation and competition policy!$!12!$!40 | Infrastructure services for private sector dev... | Regional integration!$!40!$!47 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA62220;IDA62220;IDAH7120;IDAH7130;IDAH7140 | NaN | NaN | NaN | NaN | NaN | 0002296181!$!Paga!$!10.99327!$!-1.1134!$!3A;00... | 0002296181;0002353169;0002357048;0002357548;00... | Paga;Province du Zoundweogo;Ouagadougou;Provin... | 10.99327;11.58333;12.36566;11.25;12.33333;11.9... | -1.1134;-1;-1.53388;-1.25;-1.5;-1.5;0.36349 | 3A;3A;BF;3A;3A;3A;BF | Western Africa | |
| 3462 | P101414 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | PE | Investment Project Financing | IN | C | N | L | Active | Active | Eastern Caribbean Energy Regulatory Authority ... | 2011-06-16T00:00:00Z | June | 2018-11-30T00:00:00Z | 5,600,000 | 0 | 5,600,000 | 5,600,000 | 0 | ECS CUT | ECS PE | http://projects.worldbank.org/P101414/eastern-... | NaN | NaN | Public Administration - Energy and Extractives... | NaN | NaN | NaN | NaN | Public Administration - Energy and Extractives... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Regulation and competition policy!$!50!$!40 | Trade facilitation and market access!$!50!$!49 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA49350;IDA49350;IDA49360 | NaN | NaN | NaN | NaN | NaN | 0003576812!$!Castries!$!13.9957!$!-61.006142!$!LC | 0003576812 | Castries | 13.9957 | -61.006142 | LC | Organization of Eastern Caribbean States | |
| 3467 | P112456 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | F | N | L | Closed | Closed | Regional Trade Facilitation Project II | 2011-06-14T00:00:00Z | June | 2015-06-30T00:00:00Z | 27,500,000 | 0 | 27,500,000 | 27,500,000 | 0 | ULTIPLE | AICA T | http://projects.worldbank.org/P112456/regional... | NaN | NaN | Other Non-bank Financial Institutions!$!100!$!FL | NaN | NaN | NaN | NaN | Other Non-bank Financial Institutions;Other No... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Trade facilitation and market access!$!33!$!49 | Other trade and integration!$!17!$!50 | Export development and competitiveness!$!17!$!45 | Regional integration!$!33!$!47 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA50070;IDA50070;IDAH7250 | NaN | NaN | NaN | NaN | NaN | 0000184745!$!Nairobi!$!-1.28333!$!36.816669!$!3A | 0000184745 | Nairobi | -1.28333 | 36.816669 | 3A | Africa | |
| 3472 | P118316 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Closed | Closed | AFCC2/RI-Lake Victoria Environmental Managemen... | 2011-06-13T00:00:00Z | June | 2017-12-31T00:00:00Z | 30,000,000 | 0 | 30,000,000 | 30,000,000 | 0 | EEE | NaN | http://projects.worldbank.org/P118316/lake-vic... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Other Agriculture; Fishing and Forestry!$!35!$!AZ | Public Administration - Water; Sanitation and ... | Public Administration - Agriculture; Fishing &... | Fisheries!$!6!$!AF | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Land administration and management!$!16!$!83 | Other rural development!$!10!$!79 | Pollution management and environmental health!... | Water resource management!$!33!$!85 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA49730;IDA49730;IDAH7100 | NaN | NaN | NaN | NaN | NaN | 0000148996!$!Lake Victoria!$!-1!$!33!$!3A;0000... | 0000148996;0000201674;0000201842;0000202061;00... | Lake Victoria;Nyabarongo;Lac Mugesera;Kigali;i... | -1;-2.3457999;-2.10833;-1.94995;-3.5;-3.426399... | 33;30.372999;30.308331;30.058849;29.950001;29.... | 3A;3A;3A;3A;BI;3A;BI;BI;3A;BI;RW;RW;RW;RW;RW;3... | Africa | |
| 3473 | P126399 | Latin America and Caribbean | Central America;Central America | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | INCAE Regional Public Sector Leadership Program | 2011-06-10T00:00:00Z | June | 2013-03-06T00:00:00Z | 300,000 | 0 | 0 | 0 | 300,000 | ICAE | ISTITUT | http://projects.worldbank.org/P126399/incae-re... | NaN | NaN | Central Government (Central Agencies)!$!100!$!BC | NaN | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central America | |
| 3517 | P120788 | Europe and Central Asia | Central Asia;Central Asia | PE | Investment Project Financing | IN | C | N | L | Active | Active | Central Asia Hydrometeorology Modernization Pr... | 2011-05-26T00:00:00Z | May | 2018-12-31T00:00:00Z | 27,700,000 | 0 | 20,700,000 | 20,700,000 | 0 | TAIISTA | T E ETE | http://projects.worldbank.org/P120788/central-... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Public Administration - Water; Sanitation and ... | Other Transportation!$!10!$!TZ | Other Public Administration!$!10!$!BZ | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Natural disaster management!$!100!$!52 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA49340;IDA49340;IDAH6770;IDAH6780;IDAH6790 | NaN | NaN | NaN | NaN | NaN | 0001220409!$!Republic of Tajikistan!$!39!$!71!... | 0001220409;0001512440;0001522867;0001527747 | Republic of Tajikistan;Republic of Uzbekistan;... | 39;41.666672;48;41.5 | 71;63.833328;68;75 | TJ;UZ;KZ;KG | Central Asia | |
| 3524 | P122398 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2/RI-Central African Backbone - APL3 - Rep... | 2011-05-25T00:00:00Z | May | 2019-12-31T00:00:00Z | 30,000,000 | 0 | 15,000,000 | 15,000,000 | 0 | EET | IIST | http://projects.worldbank.org/P122398/central-... | NaN | NaN | ICT Infrastructure!$!84!$!CI | Public Administration - Information and Commun... | NaN | NaN | NaN | ICT Infrastructure;ICT Infrastructure;Public A... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Infrastructure services for private sector dev... | Regulation and competition policy!$!10!$!40 | Regional integration!$!34!$!47 | Technology diffusion!$!8!$!48 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA49740;IDA49740;IDA59910 | NaN | NaN | NaN | NaN | NaN | 0002257389!$!Mbinda!$!-2.10778!$!12.87083!$!3A... | 0002257389;0002258261;0002260535;0007731853;00... | Mbinda;Dolisie;Brazzaville;Ouesso;Kinshasa;Nga... | -2.10778;-4.1983399;-4.26613;1.29211;-4.47223;... | 12.87083;12.66664;15.28318;15.93129;15.8836;15... | 3A;CG;3A;3A | Africa | |
| 3533 | P112623 | Africa | Western Africa;Western Africa | RE | Specific Investment Loan | IN | B | N | L | Closed | Closed | CORAF Trust Fund | 2011-05-19T00:00:00Z | May | 2016-12-30T00:00:00Z | 34,600,000 | 0 | 0 | 0 | 34,600,000 | CA | CA | http://projects.worldbank.org/P112623/coraf-tr... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Workforce Development and Vocational Education... | Agricultural markets; commercialization and ag... | Public Administration - Agriculture; Fishing &... | Tertiary Education!$!4!$!ET | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!67!$!77 | Rural services and infrastructure!$!33!$!78 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000203312!$!Democratic Republic of the Congo!... | 0000203312;0000239880;0002233387;0002245662;00... | Democratic Republic of the Congo;Central Afric... | -2.5;7;6;14.5;-1;6.5;8;8.1000004;10;12.5;8.666... | 23.5;21;12.5;-14.25;15.5;-9.5;-5.5;-1.2;8;-1.6... | CD;CM;SN;CG;LR;GH;NG;BF;TG;GW;MR;BJ;GA;SL;GM;G... | Western Africa | |
| 3596 | P108879 | Africa | Africa;Africa | GE | Specific Investment Loan | IN | B | N | L | Closed | Closed | AFCC2/RI-Nyika Transfrontier Conservation Area... | 2011-04-21T00:00:00Z | April | 2017-06-30T00:00:00Z | 11,090,000 | 0 | 0 | 0 | 4,820,000 | EET | IA TCA | http://projects.worldbank.org/P108879/nyika-tr... | NaN | NaN | Public Administration - Agriculture; Fishing &... | Other Agriculture; Fishing and Forestry!$!35!$!AZ | Social Protection!$!22!$!SA | Other Industry; Trade and Services!$!4!$!YZ | NaN | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Biodiversity!$!44!$!80 | Rural non-farm income generation!$!13!$!76 | Environmental policies and institutions!$!28!$!82 | Income Support for Old Age; Disability & Survi... | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000235749!$!Chitipa District!$!-9.9272699!$!3... | 0000235749;0000900059;0000909295;0000916666;00... | Chitipa District;Nyika National Park;Lundazi P... | -9.9272699;-10.64417;-10.91611;-10;-11.25;-10.... | 33.425411;33.69231;33.217751;33;32.833328;33.8... | 3A;3A;3A;3A;3A;3A;3A;3A;3A;3A | Africa | |
| 3609 | P125815 | Africa | Africa;Africa | RE | Specific Investment Loan | IN | C | N | L | Closed | Closed | Child Trust Fund Project under the TerrAfrica ... | 2011-04-15T00:00:00Z | April | 2013-12-31T00:00:00Z | 1,500,000 | 0 | 0 | 0 | 1,500,000 | PCA | PCA | http://projects.worldbank.org/P125815/child-tr... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!100!... | NaN | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Land administration and management!$!50!$!83 | Climate change!$!20!$!81 | Environmental policies and institutions!$!20!$!82 | Water resource management!$!10!$!85 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 3639 | P119380 | Africa | Western Africa;Western Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | GEF - Africa - 2nd phase fish. (GBissau) | 2011-03-31T00:00:00Z | March | 2017-09-29T00:00:00Z | 8,000,000 | 0 | 6,000,000 | 6,000,000 | 0 | EET | IISTIES | http://projects.worldbank.org/P119380/second-a... | NaN | NaN | Public Administration - Agriculture; Fishing &... | Fisheries!$!4!$!AF | Livestock!$!4!$!AL | NaN | NaN | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Export development and competitiveness!$!5!$!45 | Environmental policies and institutions!$!95!$!82 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities|Global Public Go... | IDAH6530;IDAH6530 | NaN | NaN | NaN | NaN | NaN | 0002373627!$!Ilha Caravela!$!11.53333!$!-16.33... | 0002373627;0002374294;0002374311;0002374583;00... | Ilha Caravela;Cacine;Cacheu;Bubaque;Bissau;Arq... | 11.53333;11.11667;12.27444;11.28333;11.86357;1... | -16.33333;-15.01667;-16.165279;-15.83333;-15.5... | 3A;3A;3A;3A;3A;3A | Western Africa | |
| 3644 | P122182 | Africa | Western Africa;Western Africa | GE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | GEF - Africa - 2nd phase fish. (GBissau) | 2011-03-31T00:00:00Z | March | 2017-09-29T00:00:00Z | 8,000,000 | 0 | 0 | 0 | 2,000,000 | HAA A | IISTIES | http://projects.worldbank.org/P122182/gef-afri... | NaN | NaN | Public Administration - Agriculture; Fishing &... | Fisheries!$!23!$!AF | Livestock!$!23!$!AL | NaN | NaN | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Environmental policies and institutions!$!100!... | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0002245662!$!Republic of Senegal!$!14.5!$!-14.... | 0002245662;0002275384;0002300660;0002372248;00... | Republic of Senegal;Republic of Liberia;Republ... | 14.5;6.5;8.1000004;12;20.25;8.5;13.5;10.83333;16 | -14.25;-9.5;-1.2;-15;-10.5;-11.5;-15.5;-10.666... | SN;LR;GH;GW;MR;SL;GM;GN;CV | Western Africa | |
| 3667 | P122065 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | West Africa Agricultural Productivity Program ... | 2011-03-24T00:00:00Z | March | 2019-12-31T00:00:00Z | 83,800,000 | 0 | 83,800,000 | 83,800,000 | 0 | IEEI | CAU | http://projects.worldbank.org/P122065/west-afr... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Agricultural markets; commercialization and ag... | Public Administration - Agriculture; Fishing &... | NaN | NaN | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Climate change!$!5!$!81 | Rural services and infrastructure!$!30!$!78 | Technology diffusion!$!27!$!48 | Regional integration!$!28!$!47 | Rural policies and institutions!$!10!$!77 | NaN | Global Public Goods Priorities|Millennium Deve... | IDA59530;IDA59530;IDA59540;IDA59550;IDA59520;I... | NaN | NaN | NaN | NaN | NaN | 0002367237!$!Region Centrale!$!8.6666698!$!1!$!TG | 0002367237 | Region Centrale | 8.6666698 | 1 | TG | Western Africa | |
| 3684 | P128332 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Closed | Closed | AFCC2/RI-African Medicines Regulatory Harmoniz... | 2011-03-21T00:00:00Z | March | 2017-12-29T00:00:00Z | 6,550,000 | 0 | 0 | 0 | 6,550,000 | THE EAST A | THE EAST A | http://projects.worldbank.org/P128332/african-... | NaN | NaN | Health!$!100!$!HG | NaN | NaN | NaN | NaN | Health;Health | NaN | NaN | NaN | NaN | NaN | Health;Health | Health system performance!$!100!$!67 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000049518!$!Republic of Rwanda!$!-2!$!30!$!RW... | 0000049518;0000149590;0000192950;0000226074;00... | Republic of Rwanda;United Republic of Tanzania... | -2;-6;1;1.25;-3.5 | 30;35;38;32.5;30 | RW;TZ;KE;UG;BI | Africa | |
| 3694 | P122478 | Africa | Africa;Africa | PE | Investment Project Financing | IN | C | N | L | Closed | Closed | AFCC2/RI-ACBF Regional Capacity Building Project | 2011-03-17T00:00:00Z | March | 2017-12-31T00:00:00Z | 76,600,000 | 0 | 25,000,000 | 25,000,000 | 0 | AICA CA | AICA CA | http://projects.worldbank.org/P122478/acbf-reg... | NaN | NaN | Central Government (Central Agencies)!$!50!$!BC | Other Public Administration!$!50!$!BZ | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Pu... | Other economic management!$!30!$!24 | Other rule of law!$!15!$!37 | Other social development!$!15!$!62 | Poverty strategy; analysis and monitoring!$!20... | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH8760;IDAH8760;IDAH6470 | NaN | NaN | NaN | NaN | NaN | 0000149590!$!United Republic of Tanzania!$!-6!... | 0000149590;0000226074;0000239880;0000344979;00... | United Republic of Tanzania;Republic of Uganda... | -6;1.25;7;9.0249701;-15.41667;14.5;14.6937;-1;... | 35;32.5;21;38.746891;29;-14.25;-17.444059;15.5... | TZ;UG;CF;ET;ZM;SN;SN;CG;CG;GH;GH;GW;TD | Africa | |
| 3708 | P110156 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Investment Project Financing | IN | B | N | L | Active | Active | Swaziland Health; HIV/AIDS and TB Project | 2011-03-10T00:00:00Z | March | 2018-09-30T00:00:00Z | 41,000,000 | 20,000,000 | 0 | 20,000,000 | 0 | I | IIST | http://projects.worldbank.org/P110156/swazilan... | NaN | NaN | Health!$!67!$!HG | Public Administration - Health!$!14!$!HF | Social Protection!$!8!$!SA | Public Administration - Social Protection!$!8!... | ICT Services!$!1!$!CS | Health;Health;Public Administration - Health;S... | NaN | NaN | NaN | NaN | NaN | Health;Health;Health;Social Protection;Social ... | Health system performance!$!16!$!67 | Social Safety Nets/Social Assistance & Social ... | Population and reproductive health!$!24!$!69 | Tuberculosis!$!25!$!93 | HIV/AIDS!$!16!$!88 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IBRD80190;IBRD80190 | NaN | NaN | NaN | NaN | NaN | 0000934850!$!Sitobela!$!-26.883329!$!31.6!$!SZ... | 0000934850;0000934851;0000934867;0000934985;00... | Sitobela;Siteki;Shiselweni District;Mbabane;Ma... | -26.883329;-26.450001;-27.049999;-26.316669;-2... | 31.6;31.950001;31.4;31.133329;31.25;31.380039;... | SZ;SZ;SZ;SZ;SZ;SZ;SZ;SZ | Kingdom of Swaziland | |
| 3716 | P125899 | Latin America and Caribbean | Central America;Central America | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Central America DRR & CCA Program | 2011-03-04T00:00:00Z | March | 2015-06-30T00:00:00Z | 690,000 | 0 | 0 | 0 | 690,000 | SICA | CEPEEAC | http://projects.worldbank.org/P125899/central-... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Other Transportation!$!15!$!TZ | Other Public Administration!$!15!$!BZ | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Natural disaster management!$!50!$!52 | Climate change!$!50!$!81 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central America | |
| 3717 | P110910 | Europe and Central Asia | Western Balkans;Western Balkans | PE | Adaptable Program Loan | IN | C | N | L | Closed | Closed | South East Europe and Caucasus Catastrophe Ris... | 2011-03-03T00:00:00Z | March | 2015-12-31T00:00:00Z | 10,000,000 | 10,000,000 | 0 | 10,000,000 | 0 | EIAL | EUPA E | http://projects.worldbank.org/P110910/south-ea... | NaN | NaN | Insurance and Pension!$!70!$!FD | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | Insurance and Pension;Insurance and Pension;Ot... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector;Water; Sanit... | Climate change!$!20!$!81 | Natural disaster management!$!30!$!52 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IBRD80300;IBRD80300;IBRD80310 | NaN | NaN | NaN | NaN | NaN | 0000718075!$!Republic of Macedonia!$!41.666672... | 0000718075;0000783754;0006290252 | Republic of Macedonia;Republic of Albania;Serbia | 41.666672;41;44.81892 | 21.75;20;20.45998 | MK;AL;RS | Western Balkans | |
| 3760 | P121611 | Africa | Africa;Africa | PE | Investment Project Financing | IN | C | N | L | Active | Active | Financial Sector Development & Regionalization... | 2011-01-31T00:00:00Z | January | 2019-09-30T00:00:00Z | 16,000,000 | 0 | 16,000,000 | 16,000,000 | 0 | EAC SECET | EAC SECET | http://projects.worldbank.org/P121611/financia... | NaN | NaN | Public Administration - Financial Sector!$!100... | NaN | NaN | NaN | NaN | Public Administration - Financial Sector;Publi... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Other trade and integration!$!31!$!50 | Regulation and competition policy!$!30!$!40 | Regional integration!$!31!$!47 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDAH6410;IDAH6410;IDAD1410 | NaN | NaN | NaN | NaN | NaN | 0000049518!$!Republic of Rwanda!$!-2!$!30!$!RW... | 0000049518;0000149590;0000192950;0000226074;00... | Republic of Rwanda;United Republic of Tanzania... | -2;-6;1;1.25;-3.5 | 30;35;38;32.5;30 | RW;TZ;KE;UG;BI | Africa | |
| 3766 | P095232 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Investment Project Financing | IN | B | N | L | Active | Active | Local Government Project (SLGP) | 2011-01-20T00:00:00Z | January | 2019-06-30T00:00:00Z | 33,760,000 | 26,900,000 | 0 | 26,900,000 | 0 | I | IIST | http://projects.worldbank.org/P095232/local-go... | NaN | NaN | Sub-National Government!$!59!$!BH | Urban Transport!$!27!$!TC | Other Water Supply; Sanitation and Waste Manag... | Other Transportation!$!2!$!TZ | Other Public Administration!$!2!$!BZ | Sub-National Government;Sub-National Governmen... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Tr... | Municipal finance!$!15!$!72 | Urban services and housing for the poor!$!16!$!71 | Municipal governance and institution building!... | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IBRD80030;IBRD80030 | NaN | NaN | NaN | NaN | NaN | 0000934851!$!Siteki!$!-26.450001!$!31.950001!$... | 0000934851;0000934881;0000934913;0000934985;00... | Siteki;Piggs Peak;Nhlangano;Mbabane;Matsapha;M... | -26.450001;-25.966669;-27.116671;-26.316669;-2... | 31.950001;31.25;31.200001;31.133329;31.307949;... | SZ;SZ;SZ;SZ;SZ;SZ;SZ;SZ;SZ;SZ;SZ;SZ;SZ;SZ;SZ;S... | Kingdom of Swaziland | |
| 3767 | P116273 | Africa | Western Africa;Western Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | West Africa Regional Communications Infrastruc... | 2011-01-20T00:00:00Z | January | 2017-06-30T00:00:00Z | 56,600,000 | 0 | 56,600,000 | 56,600,000 | 0 | ECAS E | NaN | http://projects.worldbank.org/P116273/west-afr... | NaN | NaN | ICT Infrastructure!$!49!$!CI | ICT Services!$!25!$!CS | Public Administration - Information and Commun... | Other Information and Communications Technolog... | NaN | ICT Infrastructure;ICT Infrastructure;ICT Serv... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Regional integration!$!40!$!47 | Infrastructure services for private sector dev... | Regulation and competition policy!$!40!$!40 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA48550;IDA48550;IDA48560 | NaN | NaN | NaN | NaN | NaN | 0002272491!$!Zwedru!$!6.06846!$!-8.1355896!$!3... | 0002272491;0002273435;0002273638;0002274129;00... | Zwedru;Tubmanburg;Fish Town;Sanniquellie;Rober... | 6.06846;6.8706398;5.1973901;7.3621502;6.753290... | -8.1355896;-10.8211;-7.8757901;-8.7132597;-11.... | 3A;3A;3A;3A;3A;3A;3A;3A;3A;3A;3A;3A;3A;3A;3A;3... | Western Africa | |
| 3769 | P117652 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | Central African Backbone - APL2 | 2011-01-20T00:00:00Z | January | 2014-12-31T00:00:00Z | 14,900,000 | 0 | 14,900,000 | 14,900,000 | 0 | EET | IIST | http://projects.worldbank.org/P117652/central-... | NaN | NaN | ICT Infrastructure!$!60!$!CI | Other Information and Communications Technolog... | Other Industry; Trade and Services!$!20!$!YZ | NaN | NaN | ICT Infrastructure;ICT Infrastructure;Other In... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Regulation and competition policy!$!10!$!40 | Infrastructure services for private sector dev... | Regional integration!$!50!$!47 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH6420;IDAH6420 | NaN | NaN | NaN | NaN | NaN | 0002410764!$!Sao Tome!$!0.25!$!6.5999999!$!ST | 0002410764 | Sao Tome | 0.25 | 6.5999999 | ST | Africa | |
| 3784 | P119952 | Africa | Africa;Africa | GM | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | SPWA - Scaling up the impacts of good practice... | 2011-01-11T00:00:00Z | January | 2015-02-28T00:00:00Z | 900,000 | 0 | 0 | 0 | 900,000 | EET | IUC EC | http://projects.worldbank.org/P119952/spwa-sca... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!100!... | NaN | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Biodiversity!$!100!$!80 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0002245662!$!Republic of Senegal!$!14.5!$!-14.... | 0002245662;0002275384;0002287781;0002300660;00... | Republic of Senegal;Republic of Liberia;Republ... | 14.5;6.5;8;8.1000004;10;12.5;8.6666698;12;9.5;... | -14.25;-9.5;-5.5;-1.2;8;-1.66667;1.08333;-15;2... | SN;LR;CI;GH;NG;BF;TG;GW;BJ;SL;GM;GN;ML;CV | Africa | |
| 3796 | P124106 | Europe and Central Asia | Central Asia;Central Asia | RE | Specific Investment Loan | IN | C | N | L | Closed | Closed | Regional One Health Project | 2010-12-22T00:00:00Z | December | 2011-09-30T00:00:00Z | 3,000,000 | 0 | 0 | 0 | 3,000,000 | EUASIA E | EIAL P | http://projects.worldbank.org/P124106/regional... | NaN | NaN | Health!$!40!$!HG | Social Protection!$!30!$!SA | Agro-industry!$!30!$!YB | NaN | NaN | Health;Health;Social Protection;Agro-industry | NaN | NaN | NaN | NaN | NaN | Health;Health;Social Protection;Industry; Trad... | Rural services and infrastructure!$!30!$!78 | Other communicable diseases!$!30!$!64 | Health system performance!$!40!$!67 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central Asia | |
| 3820 | P121914 | Africa | Africa;Africa | RE | Specific Investment Loan | IN | C | N | L | Closed | Closed | CAADP MDTF: NEPAD Planning and Coordinating Ag... | 2010-12-15T00:00:00Z | December | 2015-12-31T00:00:00Z | 3,500,000 | 0 | 0 | 0 | 3,500,000 | EPA PLA | EPA PLA | http://projects.worldbank.org/P121914/caadp-md... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Crops!$!20!$!AH | Forestry!$!20!$!AT | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Fisheries!$!10!$!AF | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!20!$!77 | Climate change!$!20!$!81 | Rural markets!$!20!$!75 | Environmental policies and institutions!$!20!$!82 | Analysis of economic growth!$!20!$!20 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0001105776!$!Midrand!$!-25.989531!$!28.128429!... | 0001105776 | Midrand | -25.989531 | 28.128429 | ZA | Africa | |
| 3870 | P124357 | East Asia and Pacific | Mekong;Mekong | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Enabling Women's Entrepreneurship in the Mekong | 2010-11-20T00:00:00Z | November | NaN | 470,000 | 0 | 0 | 0 | 470,000 | T E ETE | T E ETE | http://projects.worldbank.org/P124357/enabling... | NaN | NaN | Micro- and SME finance!$!100!$!FE | NaN | NaN | NaN | NaN | Micro- and SME finance;Micro- and SME finance | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Mekong | |
| 3899 | P124509 | Latin America and Caribbean | Central America;Central America | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Regional Strategy for the Development of Stati... | 2010-11-01T00:00:00Z | November | 2013-06-30T00:00:00Z | 180,000 | 0 | 0 | 0 | 180,000 | SICACET | EEAL SE | http://projects.worldbank.org/P124509/regional... | NaN | NaN | Other Public Administration!$!100!$!BZ | NaN | NaN | NaN | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Economic statistics; modeling and forecasting!... | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities;Global Public G... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central America | |
| 3903 | P121908 | Africa | Africa;Africa | RE | Specific Investment Loan | IN | C | N | L | Closed | Closed | CAADP MDTF: African Union Commission Child Tr... | 2010-10-22T00:00:00Z | October | 2015-12-31T00:00:00Z | 4,000,000 | 0 | 0 | 0 | 4,000,000 | AICA U | AICA U | http://projects.worldbank.org/P121908/caadp-md... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Crops!$!20!$!AH | Forestry!$!20!$!AT | Fisheries!$!10!$!AF | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!20!$!77 | Climate change!$!20!$!81 | Rural markets!$!20!$!75 | Environmental policies and institutions!$!20!$!82 | Analysis of economic growth!$!20!$!20 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 3927 | P117148 | Africa | Western Africa;Western Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | West Africa Agricultural Productivity Program ... | 2010-09-30T00:00:00Z | September | 2016-12-31T00:00:00Z | 119,000,000 | 0 | 90,000,000 | 90,000,000 | 0 | UIAC | CA PA | http://projects.worldbank.org/P117148/west-afr... | NaN | NaN | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | NaN | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Environmental policies and institutions!$!3!$!82 | Regional integration!$!8!$!47 | Trade facilitation and market access!$!5!$!49 | Technology diffusion!$!69!$!48 | Rural services and infrastructure!$!15!$!78 | NaN | Global Public Goods Priorities|Millennium Deve... | IDAH6260;IDAH6260;IDA48220;IDAH6270 | NaN | NaN | NaN | NaN | NaN | 0002352776!$!Abuja Federal Capital Territory!$... | 0002352776;0002597318;0006930701 | Abuja Federal Capital Territory;Region de l' A... | 8.8333302;6;12.47203 | 7.1666698;-4;-3.4730501 | NG;CI;BF | Western Africa | |
| 3966 | P121913 | Africa | Africa;Africa | RE | Specific Investment Loan | IN | C | N | L | Closed | Closed | CAADP MDTF: Economic Community of Central Afri... | 2010-09-09T00:00:00Z | September | 2015-12-31T00:00:00Z | 3,900,000 | 0 | 0 | 0 | 3,900,000 | ECIC C | ECIC C | http://projects.worldbank.org/P121913/caadp-md... | NaN | NaN | Crops!$!20!$!AH | Forestry!$!20!$!AT | Agricultural Extension; Research; and Other Su... | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Fisheries!$!10!$!AF | Crops;Crops;Forestry;Agricultural Extension; R... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!20!$!77 | Climate change!$!20!$!81 | Rural markets!$!20!$!75 | Environmental policies and institutions!$!20!$!82 | Analysis of economic growth!$!20!$!20 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 3967 | P121915 | Africa | Africa;Africa | RE | Specific Investment Loan | IN | C | N | L | Closed | Closed | CAADP MDTF: Conference of Ministers of Agricul... | 2010-09-09T00:00:00Z | September | 2012-03-31T00:00:00Z | 1,100,000 | 0 | 0 | 0 | 1,100,000 | CEECE | CEECE | http://projects.worldbank.org/P121915/caadp-md... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Crops!$!20!$!AH | Forestry!$!20!$!AT | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Fisheries!$!10!$!AF | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!20!$!77 | Climate change!$!20!$!81 | Rural markets!$!20!$!75 | Environmental policies and institutions!$!20!$!82 | Analysis of economic growth!$!20!$!20 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 3969 | P124081 | Africa | Eastern Africa;Eastern Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Mobile Applications Laboratory in Africa II | 2010-09-08T00:00:00Z | September | 2013-06-30T00:00:00Z | 350,000 | 0 | 0 | 0 | 350,000 | IHU CS | IHU CS | http://projects.worldbank.org/P124081/mobile-a... | NaN | NaN | Other Information and Communications Technolog... | Micro- and SME finance!$!50!$!FE | NaN | NaN | NaN | Other Information and Communications Technolog... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Technology diffusion!$!33!$!48 | Infrastructure services for private sector dev... | Micro; Small and Medium Enterprise support!$!3... | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Eastern Africa | |
| 3988 | P121899 | Africa | Africa;Africa | RE | Specific Investment Loan | IN | C | N | L | Closed | Closed | CAADP MDTF: Common Market for Eastern and Sout... | 2010-08-20T00:00:00Z | August | 2015-12-31T00:00:00Z | 4,500,000 | 0 | 0 | 0 | 4,500,000 | C A | C A | http://projects.worldbank.org/P121899/caadp-md... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Crops!$!20!$!AH | Forestry!$!20!$!AT | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Fisheries!$!10!$!AF | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!20!$!77 | Climate change!$!20!$!81 | Rural markets!$!20!$!75 | Environmental policies and institutions!$!20!$!82 | Analysis of economic growth!$!20!$!20 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4008 | P119316 | Other | Asia;Asia | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Opportunities and Constraints for Aid Delivery... | 2010-07-27T00:00:00Z | July | 2013-06-30T00:00:00Z | 1,950,000 | 0 | 0 | 0 | 1,950,000 | EIAL A | THE ASIA | http://projects.worldbank.org/P119316?lang=en | NaN | NaN | Social Protection!$!100!$!SA | NaN | NaN | NaN | NaN | Social Protection;Social Protection | NaN | NaN | NaN | NaN | NaN | Social Protection;Social Protection | Conflict prevention and post-conflict reconstr... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Asia | |
| 4193 | P055120 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | B | N | L | Closed | Closed | Tanzania-Transport Sector Support Project | 2010-05-27T00:00:00Z | May | 2017-06-20T00:00:00Z | 281,700,000 | 0 | 270,000,000 | 270,000,000 | 0 | TA | TAAS | http://projects.worldbank.org/P055120/transpor... | NaN | NaN | Rural and Inter-Urban Roads!$!72!$!TI | Aviation!$!21!$!TV | Public Administration - Transportation!$!7!$!TF | NaN | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Transportation;T... | Rural services and infrastructure!$!72!$!78 | Other public sector governance!$!2!$!30 | Infrastructure services for private sector dev... | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA49910;IDA49910;IDA47240 | NaN | NaN | NaN | NaN | NaN | 0000149606!$!Tanga!$!-5.0689301!$!39.098751!$!... | 0000149606;0000149879;0000150275;0000150276;00... | Tanga;Singida;Same District;Same;Rusumo;Njombe... | -5.0689301;-4.8162899;-4.2219901;-4.0666699;-2... | 39.098751;34.74358;37.882778;37.73333;30.78583... | TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;T... | Africa | |
| 4198 | P111556 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2/RI-East Africa Public Health Laboratory ... | 2010-05-25T00:00:00Z | May | 2020-03-30T00:00:00Z | 63,660,000 | 0 | 63,660,000 | 63,660,000 | 0 | EIAL P | NaN | http://projects.worldbank.org/P111556/east-afr... | NaN | NaN | Health!$!89!$!HG | ICT Services!$!5!$!CS | Public Administration - Information and Commun... | Other Information and Communications Technolog... | NaN | Health;Health;ICT Services;Public Administrati... | NaN | NaN | NaN | NaN | NaN | Health;Health;Information and Communications T... | Other communicable diseases!$!34!$!64 | Health system performance!$!33!$!67 | Tuberculosis!$!33!$!93 | NaN | NaN | NaN | Corporate Advocacy Priorities|Global Public Go... | IDAH7740;IDAH7740;IDA56140;IDA56150;IDA56160;I... | NaN | NaN | NaN | NaN | NaN | 0000422233!$!Makamba Province!$!-4.1666698!$!2... | 0000422233;0000423552;0000425378;0000430951;00... | Makamba Province;Rumonge;Bujumbura;Kayanza Pro... | -4.1666698;-3.97611;-3.3822;-3.0666699;-2.8333... | 29.752781;29.43944;29.364401;29.66667;30.33333... | BI;BI;BI;BI;BI | Africa | |
| 4271 | P116941 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | B | N | L | Closed | Closed | NELSAP Power Development Program | 2010-04-21T00:00:00Z | April | 2012-12-31T00:00:00Z | 3,800,000 | 0 | 0 | 0 | 3,800,000 | ILE ASI | IELSAP | http://projects.worldbank.org/P116941/nelsap-p... | NaN | NaN | Power!$!100!$!LD | NaN | NaN | NaN | NaN | Power;Power | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Trade facilitation and market access!$!40!$!49 | Water resource management!$!10!$!85 | Regional integration!$!50!$!47 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4309 | P120478 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Capacity Upgrading for West African Partners i... | 2010-04-01T00:00:00Z | April | 2012-09-30T00:00:00Z | 900,000 | 0 | 0 | 0 | 900,000 | UST A | UST A | http://projects.worldbank.org/P120478/capacity... | NaN | NaN | Renewable energy!$!100!$!LE | NaN | NaN | NaN | NaN | Renewable energy;Renewable energy | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Climate change!$!40!$!81 | Rural services and infrastructure!$!20!$!78 | Environmental policies and institutions!$!40!$!82 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4337 | P096407 | Africa | Western Africa;Western Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | Abidjan-Lagos Trade and Transport Facilitation... | 2010-03-23T00:00:00Z | March | 2017-06-30T00:00:00Z | 228,000,000 | 0 | 228,000,000 | 228,000,000 | 0 | EP H | IISTIES | http://projects.worldbank.org/P096407/abidjan-... | NaN | NaN | Rural and Inter-Urban Roads!$!80!$!TI | Trade!$!15!$!YY | Health!$!3!$!HG | Public Administration - Transportation!$!2!$!TF | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Industry; Trade ... | Regional integration!$!20!$!47 | Trade facilitation and market access!$!77!$!49 | HIV/AIDS!$!3!$!88 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDAH5490;IDAH5490;IDA46950;IDA46960 | NaN | NaN | NaN | NaN | NaN | 0002294914!$!Takoradi Bay!$!4.9000001!$!-1.716... | 0002294914;0002300660;0002363686;0002394819;00... | Takoradi Bay;Republic of Ghana;Togolese Republ... | 4.9000001;8.1000004;8.6666698;6.3653598;9.5 | -1.71667;-1.2;1.08333;2.41833;2.25 | GH;GH;TG;BJ;BJ | Western Africa | |
| 4380 | P121026 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Defining Africas Emerging Urban Agenda Central... | 2010-02-24T00:00:00Z | February | 2014-12-31T00:00:00Z | 590,000 | 0 | 0 | 0 | 590,000 | ACC S AI | AICA CE | http://projects.worldbank.org/P121026/defining... | NaN | NaN | Sub-National Government!$!35!$!BH | Other Water Supply; Sanitation and Waste Manag... | Central Government (Central Agencies)!$!15!$!BC | Banking Institutions!$!10!$!FA | Other Non-bank Financial Institutions!$!10!$!FL | Sub-National Government;Sub-National Governmen... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Wa... | Urban services and housing for the poor!$!50!$!71 | Other urban development!$!30!$!74 | Municipal governance and institution building!... | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4405 | P116392 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | B | N | L | Closed | Closed | NELSAP Water Resources Development Program | 2010-02-04T00:00:00Z | February | 2012-12-31T00:00:00Z | 3,500,000 | 0 | 0 | 0 | 3,500,000 | ILE ASI | ELSAP C | http://projects.worldbank.org/P116392/nelsap-w... | NaN | NaN | Irrigation and Drainage!$!39!$!AI | Water Supply!$!30!$!WC | Other Water Supply; Sanitation and Waste Manag... | Other Transportation!$!5!$!TZ | Other Public Administration!$!5!$!BZ | Irrigation and Drainage;Irrigation and Drainag... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Water resource management!$!100!$!85 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4431 | P119725 | Latin America and Caribbean | Andean Countries;Andean Countries | GE | Specific Investment Loan | IN | B | Y | L | Closed | Closed | Adaptation to the Impact of Rapid Glacier Retr... | 2010-01-12T00:00:00Z | January | NaN | 450,000 | 0 | 0 | 0 | 450,000 | CUIA | CUIA | http://projects.worldbank.org/P119725/adaptati... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Other Agriculture; Fishing and Forestry!$!27!$!AZ | Other Public Administration!$!21!$!BZ | Water Supply!$!12!$!WC | Forestry!$!4!$!AT | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Climate change!$!67!$!81 | Biodiversity!$!33!$!80 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0003652461!$!Cantón Quito!$!-0.21667001!$!-78.... | 0003652461;0003652559;0003653449;0003660593;00... | Cantón Quito;RÃo Quijos;RÃo Papallacta;RÃo Ant... | -0.21667001;-0.15117;-0.43768001;-0.77495003;-... | -78.5;-77.384468;-77.969643;-78.03186;-67.2577... | 6A;6A;6A;6A;BO;BO;BO;6A | Andean Countries | |
| 4438 | P119406 | Africa | Africa;Africa | RE | Learning and Innovation Loan | IN | C | N | L | Closed | Closed | Extending Mobile Applications in Africa throug... | 2010-01-08T00:00:00Z | January | 2011-03-31T00:00:00Z | 160,000 | 0 | 0 | 0 | 160,000 | ILE | ILE | http://projects.worldbank.org/P119406/extendin... | NaN | NaN | ICT Infrastructure!$!100!$!CI | NaN | NaN | NaN | NaN | ICT Infrastructure;ICT Infrastructure | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Micro; Small and Medium Enterprise support!$!5... | Technology diffusion!$!50!$!48 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4439 | P120802 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Implementation of the African Charter on Stati... | 2010-01-08T00:00:00Z | January | 2011-12-30T00:00:00Z | 220,000 | 0 | 0 | 0 | 220,000 | AICA U | AICA U | http://projects.worldbank.org/P120802/implemen... | NaN | NaN | Central Government (Central Agencies)!$!100!$!BC | NaN | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Poverty strategy; analysis and monitoring!$!50... | Regional integration!$!50!$!47 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4477 | P117087 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | PE | Adaptable Program Loan | IN | C | N | L | Closed | Closed | OECS E-Government for Regional Integration - S... | 2009-12-15T00:00:00Z | December | 2014-02-28T00:00:00Z | 2,300,000 | 0 | 2,300,000 | 2,300,000 | 0 | EET | ECS SECE | http://projects.worldbank.org/P117087/oecs-e-g... | NaN | NaN | Central Government (Central Agencies)!$!40!$!BC | ICT Services!$!30!$!CS | Public Administration - Information and Commun... | Other Information and Communications Technolog... | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;In... | Regional integration!$!25!$!47 | Trade facilitation and market access!$!13!$!49 | Tax policy and administration!$!13!$!28 | Administrative and civil service reform!$!25!$!25 | Public expenditure; financial management and p... | NaN | Global Public Goods Priorities|Millennium Deve... | IDA46500;IDA46500 | NaN | NaN | NaN | NaN | NaN | 0003577819!$!Parish of Saint George!$!13.16667... | 0003577819 | Parish of Saint George | 13.16667 | -61.200001 | VC | Organization of Eastern Caribbean States | |
| 4481 | P119877 | Africa | Eastern Africa;Eastern Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | GFDRR Recipient Grant for IGAD in Eastern Afri... | 2009-12-11T00:00:00Z | December | 2012-06-01T00:00:00Z | 100,000 | 0 | 0 | 0 | 100,000 | IA I EA | ITEE | http://projects.worldbank.org/P119877/gfdrr-re... | NaN | NaN | Other Industry; Trade and Services!$!100!$!YZ | NaN | NaN | NaN | NaN | Other Industry; Trade and Services;Other Indus... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | Natural disaster management!$!100!$!52 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Eastern Africa | |
| 4508 | P115414 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | NELSAP Regional Agricultural Trade and Product... | 2009-11-20T00:00:00Z | November | 2012-12-31T00:00:00Z | 7,120,000 | 0 | 0 | 0 | 7,000,000 | ILE ASI | ELSAP C | http://projects.worldbank.org/P115414/nelsap-r... | NaN | NaN | Public Administration - Agriculture; Fishing &... | Agricultural markets; commercialization and ag... | Other Agriculture; Fishing and Forestry!$!18!$!AZ | Irrigation and Drainage!$!17!$!AI | NaN | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Water resource management!$!32!$!85 | Regional integration!$!68!$!47 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000425378!$!Bujumbura!$!-3.3822!$!29.364401!$!3A | 0000425378 | Bujumbura | -3.3822 | 29.364401 | 3A | Africa | |
| 4524 | P117593 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | Y | L | Closed | Closed | UGANDA- EASTERN AFRICA AGRICULTURAL PRODUCTIVI... | 2009-11-12T00:00:00Z | November | NaN | 30,000,000 | 0 | 30,000,000 | 30,000,000 | 0 | UAA | UAA | http://projects.worldbank.org/P117593/uganda--... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Crops!$!12!$!AH | Public Administration - Agriculture; Fishing &... | Fisheries!$!4!$!AF | Livestock!$!4!$!AL | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!40!$!77 | Rural services and infrastructure!$!54!$!78 | Regional integration!$!6!$!47 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4532 | P115259 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | B | Y | L | Active | Active | CEMAC Transport Transit Facilitation - 1st Add... | 2009-11-05T00:00:00Z | November | NaN | 237,000,000 | 0 | 217,000,000 | 217,000,000 | 0 | CETAL A | IIST | http://projects.worldbank.org/P115259?lang=en | NaN | NaN | Rural and Inter-Urban Roads!$!75!$!TI | Railways!$!20!$!TW | Central Government (Central Agencies)!$!5!$!BC | NaN | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Transportation;P... | Trade facilitation and market access!$!58!$!49 | Other environment and natural resources manage... | Environmental policies and institutions!$!1!$!82 | Regional integration!$!34!$!47 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0002220957!$!Yaounde!$!3.8666699!$!11.51667!$!... | 0002220957;0002229336;0002231835;0002232593;00... | Yaounde;Littoral Region;East Region;Douala;Cen... | 3.8666699;4.2666702;3.8333299;4.0482702;4.75;4... | 11.51667;10.13333;14.16667;9.7042799;11.83333;... | CM;CM;CM;CM;CM;CM;CF;TD | Africa | |
| 4533 | P104670 | Europe and Central Asia | Central Asia;Central Asia | GE | Specific Investment Loan | IN | B | N | L | Closed | Closed | TIEN SHAN ECOSYSTEM DEVELOPMENT PROJECT | 2009-11-03T00:00:00Z | November | NaN | 22,870,000 | 0 | 0 | 0 | 3,350,000 | EPULIC | EIE | http://projects.worldbank.org/P104670/tien-sha... | NaN | NaN | Public Administration - Agriculture; Fishing &... | Forestry!$!31!$!AT | NaN | NaN | NaN | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Environmental policies and institutions!$!33!$!82 | Land administration and management!$!33!$!83 | Biodiversity!$!34!$!80 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0001346798!$!Osh Oblasty!$!40!$!73!$!7C;000152... | 0001346798;0001521378;0001527005;0001527297;00... | Osh Oblasty;Tole Bi Audany;Ysyk-Kol;Talas Obla... | 40;42.25;42.416672;42.333328;41.433331;41.4286... | 73;70.25;77.25;72;75.966667;75.991112;72.5;77.... | 7C;7C;7C;7C;7C;7C;7C;7C;7C;7C;7C;7C;7C | Central Asia | |
| 4545 | P116643 | East Asia and Pacific | Pacific Islands;Pacific Islands | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Pacific Survey Program | 2009-10-29T00:00:00Z | October | 2012-10-31T00:00:00Z | 400,000 | 0 | 0 | 0 | 400,000 | SECETAIA | SECETAIA | http://projects.worldbank.org/P116643/pacific-... | NaN | NaN | Central Government (Central Agencies)!$!100!$!BC | NaN | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Economic statistics; modeling and forecasting!... | Social analysis and monitoring!$!17!$!61 | Poverty strategy; analysis and monitoring!$!33... | NaN | NaN | NaN | Global Public Goods Priorities;Global Public G... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Pacific Islands | |
| 4550 | P106063 | Africa | Western Africa;Western Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | West Africa Regional Fisheries Program | 2009-10-20T00:00:00Z | October | 2016-09-15T00:00:00Z | 46,300,000 | 0 | 45,000,000 | 45,000,000 | 0 | EET | IISTIES | http://projects.worldbank.org/P106063/west-afr... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!96!$!AZ | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Environmental policies and institutions!$!3!$!82 | Social Safety Nets/Social Assistance & Social ... | Micro; Small and Medium Enterprise support!$!1... | Trade facilitation and market access!$!2!$!49 | Other environment and natural resources manage... | NaN | Global Public Goods Priorities|Millennium Deve... | IDAH7290;IDAH7290;IDAH5240;IDA46650;IDA46620;I... | NaN | NaN | NaN | NaN | NaN | 0002245662!$!Republic of Senegal!$!14.5!$!-14.... | 0002245662;0002275384;0002300660;0002372248;00... | Republic of Senegal;Republic of Liberia;Republ... | 14.5;6.5;8.1000004;12;20.25;8.5;13.5;10.83333;16 | -14.25;-9.5;-1.2;-15;-10.5;-11.5;-15.5;-10.666... | SN;LR;GH;GW;MR;SL;GM;GN;CV | Western Africa | |
| 4551 | P108941 | Africa | Western Africa;Western Africa | GE | Adaptable Program Loan | IN | B | Y | L | Closed | Closed | West Africa Regional Fisheries Program | 2009-10-20T00:00:00Z | October | 2016-09-15T00:00:00Z | 56,300,000 | 0 | 0 | 0 | 10,000,000 | EET | IISTIES | http://projects.worldbank.org/P108941/west-afr... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!91!$!AZ | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Other environment and natural resources manage... | Environmental policies and institutions!$!14!$!82 | Micro; Small and Medium Enterprise support!$!2... | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0003374333!$!Praia!$!14.93152!$!-23.512541!$! | 0003374333 | Praia | 14.93152 | -23.512541 | NaN | Western Africa | |
| 4578 | P108368 | Africa | Western Africa;Western Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | Central African Backbone - APL1A | 2009-09-24T00:00:00Z | September | 2016-03-15T00:00:00Z | 26,730,000 | 0 | 26,200,000 | 26,200,000 | 0 | EET | ELEAT | http://projects.worldbank.org/P108368/central-... | NaN | NaN | ICT Infrastructure!$!61!$!CI | Public Administration - Information and Commun... | Other Industry; Trade and Services!$!13!$!YZ | Social Protection!$!13!$!SA | NaN | ICT Infrastructure;ICT Infrastructure;Public A... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Infrastructure services for private sector dev... | Other social development!$!19!$!62 | Regulation and competition policy!$!27!$!40 | Regional integration!$!27!$!47 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH5150;IDAH5150;IDAH5160;IDA46470 | NaN | NaN | NaN | NaN | NaN | 0000239880!$!Central African Republic!$!7!$!21... | 0000239880;0000366755;0002233387;0002260494;00... | Central African Republic;Republic of the Sudan... | 7;16;6;-1;1.7;10;-1;1;15;18 | 21;30;12.5;15.5;10.5;8;11.75;7;19;9 | CF;SD;CM;CG;GQ;NG;GA;ST;TD;NE | Western Africa | |
| 4589 | P114467 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | B | N | L | Closed | Closed | Sio-Malaba-Malakisi River Basin Management Pro... | 2009-09-22T00:00:00Z | September | 2012-12-31T00:00:00Z | 1,750,000 | 0 | 0 | 0 | 1,750,000 | ILE ASI | ELSAP C | http://projects.worldbank.org/P114467/sio-mala... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!100!$!85 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4590 | P114469 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | B | N | L | Closed | Closed | Mara River Basin Management Project | 2009-09-22T00:00:00Z | September | 2012-12-31T00:00:00Z | 1,750,000 | 0 | 0 | 0 | 1,750,000 | ILE ASI | ELSAP C | http://projects.worldbank.org/P114469/mara-riv... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!100!$!85 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4595 | P117069 | Europe and Central Asia | Western Balkans;Western Balkans | RE | Investment Project Financing | IN | C | N | L | Active | Active | Swiss SECO for South East and Central Europe C... | 2009-09-22T00:00:00Z | September | NaN | 2,500,000 | 0 | 0 | 0 | 0 | SECE CI | EUPA E | http://projects.worldbank.org/P117069/swiss-se... | NaN | NaN | Insurance and Pension!$!80!$!FD | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | Insurance and Pension;Insurance and Pension;Ot... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector;Water; Sanit... | Natural disaster management!$!33!$!52 | Social Protection and Labor Policy & Systems!$... | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Balkans | |
| 4601 | P116745 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | B | Y | L | Closed | Closed | SVP-Additional Grant Financing Regional Power ... | 2009-09-16T00:00:00Z | September | 2011-12-31T00:00:00Z | 4,110,000 | 0 | 0 | 0 | 4,110,000 | ILE ASI | ILE ASI | http://projects.worldbank.org/P116745/svp-addi... | NaN | NaN | Power!$!100!$!LD | NaN | NaN | NaN | NaN | Power;Power | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Trade facilitation and market access!$!40!$!49 | Regional integration!$!40!$!47 | Infrastructure services for private sector dev... | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4609 | P114466 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | B | N | L | Closed | Closed | Kagera River Basin Management Project | 2009-09-10T00:00:00Z | September | 2012-12-31T00:00:00Z | 3,370,000 | 0 | 0 | 0 | 3,370,000 | ILE ASI | ELSAP C | http://projects.worldbank.org/P114466/kagera-r... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Irrigation and Drainage!$!25!$!AI | NaN | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Other environment and natural resources manage... | Environmental policies and institutions!$!25!$!82 | Water resource management!$!50!$!85 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4614 | P103639 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Eastern Nile Planning Model | 2009-09-01T00:00:00Z | September | 2012-12-31T00:00:00Z | 7,100,000 | 0 | 0 | 0 | 6,500,000 | IET | ET E | http://projects.worldbank.org/P103639/eastern-... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Environmental policies and institutions!$!3!$!82 | Water resource management!$!97!$!85 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000344979!$!Addis Ababa!$!9.0249701!$!38.7468... | 0000344979;0007874610;0007874611;0007874612 | Addis Ababa;Cairo University;Addis Ababa Unive... | 9.0249701;30.02733;9.04667;15.61222 | 38.746891;31.20797;38.759171;32.542221 | 3A;3A;3A;3A | Africa | |
| 4615 | P116595 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | B | N | L | Closed | Closed | Eastern Nile First Joint Multipurpose Program ... | 2009-09-01T00:00:00Z | September | 2012-12-31T00:00:00Z | 7,600,000 | 0 | 0 | 0 | 7,000,000 | ILE ASI | EASTE I | http://projects.worldbank.org/P116595/eastern-... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Irrigation and Drainage!$!30!$!AI | Power!$!30!$!LD | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!67!$!85 | Regional integration!$!33!$!47 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4623 | P114935 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | A | Y | L | Closed | Closed | Additional Financing for the Felou Hydroelectr... | 2009-08-27T00:00:00Z | August | NaN | 116,000,000 | 0 | 85,000,000 | 85,000,000 | 0 | EET | SE | http://projects.worldbank.org/P114935/addition... | NaN | NaN | Renewable Energy Hydro!$!93!$!LH | Other Public Administration!$!7!$!BZ | NaN | NaN | NaN | Renewable Energy Hydro;Renewable Energy Hydro;... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Trade facilitation and market access!$!17!$!49 | Regulation and competition policy!$!33!$!40 | Regional integration!$!33!$!47 | Water resource management!$!17!$!85 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0002253354!$!Dakar!$!14.6937!$!-17.444059!$!SN... | 0002253354;0002377450;0002455517;0002455518;00... | Dakar;Nouakchott;Region de Kayes;Kayes;Bamako | 14.6937;18.08581;13.9;14.44693;12.65 | -17.444059;-15.9785;-10.1;-11.44448;-8 | SN;MR;ML;ML;ML | Africa | |
| 4692 | P105654 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | A | Y | L | Closed | Closed | Additional Financing for Southern Africa Power... | 2009-06-30T00:00:00Z | June | NaN | 252,500,000 | 0 | 180,620,000 | 180,620,000 | 0 | THE EC | SCIETE A | http://projects.worldbank.org/P105654/addition... | NaN | NaN | Energy Transmission and Distribution!$!85!$!LT | Other Energy and Extractives!$!15!$!LZ | NaN | NaN | NaN | Energy Transmission and Distribution;Energy Tr... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Export development and competitiveness!$!25!$!45 | Infrastructure services for private sector dev... | Regional integration!$!37!$!47 | NaN | NaN | NaN | Global Public Goods Priorities|Corporate Advoc... | NaN | NaN | NaN | NaN | NaN | NaN | 0000205703!$!Province du Katanga!$!-9!$!26!$!Z... | 0000205703;0000214138;0000214139;0000901459;00... | Province du Katanga;Province du Kasai-Oriental... | -9;-6.1833301;-5.3333302;-12.51667;-14.11481;-... | 26;23.51667;21.58333;27.866671;30.14171;28;27.... | ZR;ZR;ZR;ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZR;ZR;ZR | Africa | |
| 4709 | P111432 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Closed | Closed | AFCC2/RI-RCIP3 - Regional Communications Infra... | 2009-06-25T00:00:00Z | June | 2017-12-31T00:00:00Z | 151,000,000 | 0 | 151,000,000 | 151,000,000 | 0 | AIUE | ELEAT | http://projects.worldbank.org/P111432/rcip3-re... | NaN | NaN | ICT Infrastructure!$!60!$!CI | Public Administration - Information and Commun... | ICT Services!$!10!$!CS | Other Information and Communications Technolog... | Health!$!2!$!HG | ICT Infrastructure;ICT Infrastructure;Public A... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Rural services and infrastructure!$!23!$!78 | Regulation and competition policy!$!1!$!40 | Administrative and civil service reform!$!37!$!25 | Infrastructure services for private sector dev... | Health system performance!$!2!$!67 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA46140;IDA46140;IDA46010;IDA46020 | NaN | NaN | NaN | NaN | NaN | 0000149590!$!United Republic of Tanzania!$!-6!... | 0000149590;0000927384;0001036973 | United Republic of Tanzania;Republic of Malawi... | -6;-13.5;-18.25 | 35;34;35 | TZ;MW;MZ | Africa | |
| 4730 | P117091 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | Y | L | Closed | Closed | GVEP Energy SME Support in SSA | 2009-06-19T00:00:00Z | June | NaN | 5,000,000 | 0 | 0 | 0 | 5,000,000 | EP ITE | EP ITE | http://projects.worldbank.org/P117091/gvep-ene... | NaN | NaN | Renewable energy!$!50!$!LE | Power!$!50!$!LD | NaN | NaN | NaN | Renewable energy;Renewable energy;Power | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000049518!$!Republic of Rwanda!$!-2!$!30!$!RW... | 0000049518;0000149590;0000192950;0000226074;00... | Republic of Rwanda;United Republic of Tanzania... | -2;-6;1;1.25;-22;14.5;11.86357;13.5;10.83333;18 | 30;35;38;32.5;24;-14.25;-15.59767;-15.5;-10.66... | RW;TZ;KE;UG;BW;SN;GW;GM;GN;ML | Africa | |
| 4739 | P117496 | Africa | Africa;Africa | RE | Adaptable Program Loan | IN | C | N | L | Closed | Closed | African National Statistical Offices communica... | 2009-06-17T00:00:00Z | June | 2011-06-30T00:00:00Z | 320,000 | 0 | 0 | 0 | 320,000 | AICA A | AISTAT | http://projects.worldbank.org/P117496/african-... | NaN | NaN | Central Government (Central Agencies)!$!100!$!BC | NaN | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Technology diffusion!$!40!$!48 | Economic statistics; modeling and forecasting!... | Poverty strategy; analysis and monitoring!$!30... | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4748 | P117371 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | RE | Technical Assistance Loan | IN | C | Y | L | Closed | Closed | TFSCB Grant - Statistical Development for the ... | 2009-06-15T00:00:00Z | June | 2012-07-28T00:00:00Z | 350,000 | 0 | 0 | 0 | 350,000 | AIATI | AIATI | http://projects.worldbank.org/P117371/tfscb-gr... | NaN | NaN | Central Government (Central Agencies)!$!60!$!BC | Other Public Administration!$!40!$!BZ | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Pu... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Organization of Eastern Caribbean States | |
| 4753 | P112688 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | AFCC2/RI-East Africa Agricultural Productivity... | 2009-06-11T00:00:00Z | June | 2015-12-31T00:00:00Z | 90,000,000 | 0 | 90,000,000 | 90,000,000 | 0 | EA UA | EA UA | http://projects.worldbank.org/P112688/east-afr... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Agricultural markets; commercialization and ag... | Public Administration - Agriculture; Fishing &... | NaN | NaN | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural services and infrastructure!$!60!$!78 | Regional integration!$!17!$!47 | Rural policies and institutions!$!23!$!77 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA45670;IDA45670;IDA45680;IDA45690;IDA46720 | NaN | NaN | NaN | NaN | NaN | 0000149590!$!United Republic of Tanzania!$!-6!... | 0000149590;0000192950;0000337996 | United Republic of Tanzania;Republic of Kenya;... | -6;1;9 | 35;38;39.5 | TZ;KE;ET | Africa | |
| 4771 | P117195 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | ESMAP Support to GVEP International Operations... | 2009-06-05T00:00:00Z | June | 2010-04-29T00:00:00Z | 430,000 | 0 | 0 | 0 | 430,000 | EP ITE | EP ITE | http://projects.worldbank.org/P117195/esmap-su... | NaN | NaN | Renewable energy!$!50!$!LE | Power!$!50!$!LD | NaN | NaN | NaN | Renewable energy;Renewable energy;Power | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4829 | P117202 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | 2009 Grant to the Association for the Developm... | 2009-05-13T00:00:00Z | May | 2011-11-30T00:00:00Z | 1,800,000 | 0 | 0 | 0 | 1,800,000 | AICA E | ASSCIATI | http://projects.worldbank.org/P117202/2009-gra... | NaN | NaN | Primary Education!$!75!$!EP | Secondary Education!$!25!$!ES | NaN | NaN | NaN | Primary Education;Primary Education;Secondary ... | NaN | NaN | NaN | NaN | NaN | Education;Education;Education | Education for all!$!100!$!65 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities|Millennium Devel... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4836 | P112132 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | SoftStart Business & Technology Incubator (SBTI) | 2009-05-12T00:00:00Z | May | 2010-03-30T00:00:00Z | 130,000 | 0 | 0 | 0 | 130,000 | STSTAT | STSTAT | http://projects.worldbank.org/P112132/softstar... | NaN | NaN | Other Information and Communications Technolog... | NaN | NaN | NaN | NaN | Other Information and Communications Technolog... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 4852 | P111330 | Africa | Africa;Africa | GE | Specific Investment Loan | IN | B | N | L | Closed | Closed | Eastern Nile Watershed Management Project | 2009-04-30T00:00:00Z | April | 2015-12-31T00:00:00Z | 35,400,000 | 0 | 0 | 0 | 8,700,000 | SUA E | EASTE I | http://projects.worldbank.org/P111330/eastern-... | NaN | NaN | Public Administration - Water; Sanitation and ... | Other Agriculture; Fishing and Forestry!$!30!$!AZ | Forestry!$!20!$!AT | Other Water Supply; Sanitation and Waste Manag... | NaN | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Environmental policies and institutions!$!14!$!82 | Water resource management!$!52!$!85 | Other rural development!$!9!$!79 | Land administration and management!$!15!$!83 | Regional integration!$!10!$!47 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000351036!$!Nile River!$!30.16667!$!31.1!$!3A... | 0000351036;0000369104;0000369348;0000371513;00... | Nile River;Lake Nubia;Lake Nasser;Lau;Ingessan... | 30.16667;21.5;23.162201;6.7291002;11.45;11.333... | 31.1;31;32.785542;30.41032;33.98333;34.066669;... | 3A;SD;3A;SD;SD;SD | Africa | |
| 4905 | P131548 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | RE | Specific Investment Loan | IN | B | N | L | Closed | Closed | Delivering Maternal Child Health Care to Vulne... | 2009-03-27T00:00:00Z | March | 2014-02-05T00:00:00Z | 2,570,000 | 0 | 0 | 0 | 2,570,000 | I | IIST | http://projects.worldbank.org/P131548/deliveri... | NaN | NaN | Health!$!50!$!HG | Social Protection!$!50!$!SA | NaN | NaN | NaN | Health;Health;Social Protection | NaN | NaN | NaN | NaN | NaN | Health;Health;Social Protection | Population and reproductive health!$!100!$!69 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities|Millennium Devel... | NaN | NaN | NaN | NaN | NaN | NaN | 0000934994!$!Manzini District!$!-26.58333!$!31... | 0000934994;0000935042;0000935085 | Manzini District;Lubombo District;Hhohho District | -26.58333;-26.5;-26.08333 | 31.25;31.870001;31.33333 | SZ;SZ;SZ | Kingdom of Swaziland | |
| 4919 | P116318 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | SVP-Additional Grant Financing for the Water R... | 2009-03-20T00:00:00Z | March | 2012-12-31T00:00:00Z | 11,200,000 | 0 | 0 | 0 | 11,200,000 | ILE ASI | ILE ASI | http://projects.worldbank.org/P116318/svp-addi... | NaN | NaN | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | NaN | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Environmental policies and institutions!$!5!$!82 | Water resource management!$!95!$!85 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000233508!$!Entebbe!$!0.06444!$!32.44694!$!3A... | 0000233508;0000344979 | Entebbe;Addis Ababa | 0.06444;9.0249701 | 32.44694;38.746891 | 3A;3A | Africa | |
| 4925 | P115401 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Energy Small and Medium Size Enterprise | 2009-03-19T00:00:00Z | March | 2014-10-31T00:00:00Z | 30,000,000 | 0 | 0 | 0 | 30,000,000 | EP I A | SELECTE | http://projects.worldbank.org/P115401/energy-s... | NaN | NaN | Renewable energy!$!39!$!LE | Power!$!39!$!LD | Public Administration - Energy and Extractives... | NaN | NaN | Renewable energy;Renewable energy;Power;Public... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Rural services and infrastructure!$!10!$!78 | Micro; Small and Medium Enterprise support!$!3... | Infrastructure services for private sector dev... | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000049518!$!Republic of Rwanda!$!-2!$!30!$!RW... | 0000049518;0000149590;0000192950;0000226074;00... | Republic of Rwanda;United Republic of Tanzania... | -2;-6;1;1.25;14.5 | 30;35;38;32.5;-14.25 | RW;TZ;KE;UG;SN | Africa | |
| 4939 | P100406 | Africa | Africa;Africa | PE | Investment Project Financing | IN | A | N | L | Closed | Closed | AFCC2/RI-Lake Victoria Environmental Managemen... | 2009-03-03T00:00:00Z | March | 2017-12-31T00:00:00Z | 105,800,000 | 0 | 90,000,000 | 90,000,000 | 0 | EA TA | LAE ICT | http://projects.worldbank.org/P100406/lake-vic... | NaN | NaN | Forestry!$!21!$!AT | Sanitation!$!32!$!WA | Public Administration - Water; Sanitation and ... | Other Water Supply; Sanitation and Waste Manag... | NaN | Forestry;Forestry;Sanitation;Public Administra... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Water resource management!$!40!$!85 | Other rural development!$!15!$!79 | Pollution management and environmental health!... | Land administration and management!$!15!$!83 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA45310;IDA45310;IDA45320;IDA56340;IDAD0560;I... | NaN | NaN | NaN | NaN | NaN | 0000149899!$!Simiyu River!$!-2.55!$!33.416672!... | 0000149899;0000152221;0000152224;0000152451;00... | Simiyu River;Mwanza Gulf;Mwanza;Musoma;Bukoba;... | -2.55;-2.5833299;-2.51667;-1.5;-1.33167;0.1066... | 33.416672;32.849998;32.900002;33.799999;31.812... | TZ;TZ;TZ;TZ;TZ;KE;KE;KE;KE;KE;KE;KE;KE;UG;UG;U... | Africa | |
| 4940 | P103298 | Africa | Africa;Africa | GE | Adaptable Program Loan | IN | B | Y | L | Closed | Closed | AFCC2/RI-Lake Victoria Environmental Managemen... | 2009-03-03T00:00:00Z | March | 2015-06-30T00:00:00Z | NaN | 0 | 0 | 0 | 7,000,000 | EA TA | EACLC | http://projects.worldbank.org/P103298/lake-vic... | NaN | NaN | Public Administration - Water; Sanitation and ... | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Biodiversity!$!27!$!80 | Environmental policies and institutions!$!29!$!82 | Other environment and natural resources manage... | Water resource management!$!36!$!85 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000148679!$!Kagera Region!$!-1.91667!$!31.25!... | 0000148679;0000149899;0000152221;0000152224;00... | Kagera Region;Simiyu River;Mwanza Gulf;Mwanza;... | -1.91667;-2.55;-2.5833299;-2.51667;-1.5;-1.833... | 31.25;33.416672;32.849998;32.900002;33.799999;... | TZ;TZ;TZ;TZ;TZ;TZ;TZ;KE;KE;KE;KE;KE;KE;UG;UG;U... | Africa | |
| 4943 | P108583 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | C | N | L | Closed | Closed | 3A W/C Africa Air Transport Phase II-B | 2009-02-25T00:00:00Z | February | 2012-12-31T00:00:00Z | 18,000,000 | 0 | 16,000,000 | 16,000,000 | 0 | E | E | http://projects.worldbank.org/P108583/3a-wc-af... | NaN | NaN | Public Administration - Transportation!$!82!$!TF | Aviation!$!18!$!TV | NaN | NaN | NaN | Public Administration - Transportation;Public ... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Transportation | Trade facilitation and market access!$!70!$!49 | Regional integration!$!30!$!47 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDAH4400;IDAH4400;IDA45380 | NaN | NaN | NaN | NaN | NaN | 0002243974!$!Yof!$!14.73333!$!-17.48333!$!SN;0... | 0002243974;0002245662;0002253354;0002394819;00... | Yof;Republic of Senegal;Dakar;Cotonou;Leopold ... | 14.73333;14.5;14.6937;6.3653598;14.73971;6.357... | -17.48333;-14.25;-17.444059;2.41833;-17.490219... | SN;SN;SN;BJ;SN;BJ | Africa | |
| 4969 | P112108 | Other | Asia;Asia | GM | Specific Investment Loan | IN | B | N | L | Closed | Closed | Tiger Futures: Mainstreaming Conservation in L... | 2009-02-02T00:00:00Z | February | 2011-06-30T00:00:00Z | 2,800,000 | 0 | 0 | 0 | 950,000 | LAL | ILLIE C | http://projects.worldbank.org/P112108/tiger-fu... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!100!... | NaN | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Biodiversity!$!100!$!80 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Asia | |
| 4976 | P115674 | Latin America and Caribbean | Central America;Central America | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Central America Mitch +10 Report and Summit | 2009-01-29T00:00:00Z | January | 2010-01-29T00:00:00Z | 160,000 | 0 | 0 | 0 | 160,000 | CEPEEAC | CEPEEAC | http://projects.worldbank.org/P115674/central-... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Other Transportation!$!15!$!TZ | Other Public Administration!$!15!$!BZ | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Natural disaster management!$!100!$!52 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central America | |
| 4977 | P115788 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | A | N | L | Closed | Closed | Development Marketplace for the African Diaspo... | 2009-01-27T00:00:00Z | January | 2011-01-31T00:00:00Z | 810,000 | 0 | 0 | 0 | 810,000 | ULTIPLE | ULTIPLE | http://projects.worldbank.org/P115788/developm... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!100!... | NaN | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Other financial and private sector development... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 5005 | P114086 | Africa | Eastern Africa;Eastern Africa | RE | Learning and Innovation Loan | IN | C | N | L | Closed | Closed | Lights for life in Sub-Saharan Africa | 2008-12-30T00:00:00Z | December | 2010-04-29T00:00:00Z | 200,000 | 0 | 0 | 0 | 200,000 | LIHTS | LIHTS | http://projects.worldbank.org/P114086/lights-l... | NaN | NaN | Renewable energy!$!100!$!LE | NaN | NaN | NaN | NaN | Renewable energy;Renewable energy | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Rural services and infrastructure!$!33!$!78 | Infrastructure services for private sector dev... | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Eastern Africa | |
| 5057 | P099833 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | C | N | L | Closed | Closed | Economic & Monetary Community of Central Afric... | 2008-12-04T00:00:00Z | December | 2016-02-29T00:00:00Z | 64,300,000 | 0 | 50,000,000 | 50,000,000 | 0 | EAC | EAC | http://projects.worldbank.org/P099833/economic... | NaN | NaN | Other Non-bank Financial Institutions!$!36!$!FL | Banking Institutions!$!30!$!FA | Public Administration - Financial Sector!$!30!... | Services!$!4!$!YS | NaN | Other Non-bank Financial Institutions;Other No... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector;Financial Se... | Macroeconomic management!$!15!$!23 | Regulation and competition policy!$!10!$!40 | Other trade and integration!$!25!$!50 | Regional integration!$!35!$!47 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH4340;IDAH4340;IDA45290 | NaN | NaN | NaN | NaN | NaN | 0000239880!$!Central African Republic!$!7!$!21... | 0000239880;0002233387;0002260494;0002434508 | Central African Republic;Republic of Cameroon;... | 7;6;-1;15 | 21;12.5;15.5;19 | CF;CM;CG;TD | Africa | |
| 5059 | P112684 | Africa | Western Africa;Western Africa | RE | Investment Project Financing | IN | B | N | L | Active | Active | Forum for Agricultural Research in Africa (FAR... | 2008-12-04T00:00:00Z | December | 2018-12-31T00:00:00Z | 50,000,000 | 0 | 0 | 0 | 50,000,000 | AA | AA | http://projects.worldbank.org/P112684/forum-ag... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Tertiary Education!$!10!$!ET | Workforce Development and Vocational Education... | Adult; Basic and Continuing Education!$!5!$!EL | NaN | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!50!$!77 | Rural services and infrastructure!$!50!$!78 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000192950!$!Republic of Kenya!$!1!$!38!$!KE;0... | 0000192950;0000203312;0000239880;0002233387;00... | Republic of Kenya;Democratic Republic of the C... | 1;-2.5;7;6;8.1000004;-1;10.83333;15 | 38;23.5;21;12.5;-1.2;11.75;-10.66667;19 | KE;CD;CM;GH;GA;GN | Western Africa | |
| 5109 | P110616 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | B | N | L | Closed | Closed | Nile Basin Initiative Institutional Strengthen... | 2008-10-21T00:00:00Z | October | 2012-12-31T00:00:00Z | 33,760,000 | 0 | 0 | 0 | 24,020,000 | ILE ASI | I SEC E | http://projects.worldbank.org/P110616/nile-bas... | NaN | NaN | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | NaN | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!45!$!85 | Environmental policies and institutions!$!45!$!82 | Participation and civic engagement!$!10!$!57 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000344979!$!Addis Ababa!$!9.0249701!$!38.7468... | 0000344979;0007874627;0007874628 | Addis Ababa;Nile Basin Initiative - Office of ... | 9.0249701;0.0496;-1.95609 | 38.746891;32.47061;30.117081 | 3A;3A;3A | Africa | |
| 5136 | P106369 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | Regional Communications Infrastructure Program... | 2008-09-30T00:00:00Z | September | 2015-07-31T00:00:00Z | 24,000,000 | 0 | 24,000,000 | 24,000,000 | 0 | SEC PHA | ELEAT | http://projects.worldbank.org/P106369/regional... | NaN | NaN | ICT Infrastructure!$!79!$!CI | Public Administration - Information and Commun... | NaN | NaN | NaN | ICT Infrastructure;ICT Infrastructure;Public A... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Regulation and competition policy!$!17!$!40 | Infrastructure services for private sector dev... | Regional integration!$!33!$!47 | Administrative and civil service reform!$!17!$!25 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH4260;IDAH4260 | NaN | NaN | NaN | NaN | NaN | 0000202061!$!Kigali!$!-1.94995!$!30.058849!$!RW | 0000202061 | Kigali | -1.94995 | 30.058849 | RW | Africa | |
| 5218 | P112600 | Africa | Africa;Africa | RE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2-RI-Association for Strengthening Agricul... | 2008-07-15T00:00:00Z | July | 2018-12-31T00:00:00Z | 50,000,000 | 0 | 0 | 0 | 50,000,000 | ASAECA | ASAECA | http://projects.worldbank.org/P112600/associat... | NaN | NaN | Public Administration - Agriculture; Fishing &... | Agricultural Extension; Research; and Other Su... | Tertiary Education!$!11!$!ET | NaN | NaN | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!50!$!77 | Rural services and infrastructure!$!50!$!78 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000049518!$!Republic of Rwanda!$!-2!$!30!$!RW... | 0000049518;0000149590;0000192950;0000203312;00... | Republic of Rwanda;United Republic of Tanzania... | -2;-6;1;-2.5;1.25;9;15;16;-3.5;-20;7.5 | 30;35;38;23.5;32.5;39.5;39;30;30;47;30 | RW;TZ;KE;CD;UG;ET;ER;SD;BI;MG;SS | Africa | |
| 5219 | P112830 | Africa | Eastern Africa;Eastern Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Climate Observations and Regional Modeling in ... | 2008-07-15T00:00:00Z | July | 2011-05-30T00:00:00Z | 400,000 | 0 | 0 | 0 | 400,000 | NaN | NaN | http://projects.worldbank.org/P112830/climate-... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Other Water Supply; Sanitation and Waste Manag... | Other Transportation!$!3!$!TZ | Other Public Administration!$!3!$!BZ | NaN | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Natural disaster management!$!33!$!52 | Climate change!$!67!$!81 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Eastern Africa | |
| 5273 | P079749 | Africa | Western Africa;Western Africa | PE | Sector Investment and Maintenance Loan | IN | B | N | L | Closed | Closed | West Africa Regional Transport and Transit Fac... | 2008-06-19T00:00:00Z | June | 2015-06-30T00:00:00Z | 197,200,000 | 0 | 190,000,000 | 190,000,000 | 0 | HAA U | HAA U | http://projects.worldbank.org/P079749/west-afr... | NaN | NaN | Rural and Inter-Urban Roads!$!81!$!TI | Central Government (Central Agencies)!$!10!$!BC | Other Transportation!$!7!$!TZ | Social Protection!$!1!$!SA | Health!$!1!$!HG | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Public Administr... | Trade facilitation and market access!$!33!$!49 | Regional integration!$!67!$!47 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA44350;IDA44350;IDA44380;IDA44390 | NaN | NaN | NaN | NaN | NaN | 0002253354!$!Dakar!$!14.6937!$!-17.444059!$!3A... | 0002253354;0002294700;0002294727;0002294877;00... | Dakar;Tema;Techiman;Tamale;Paga;Kintampo;Buipe... | 14.6937;5.6697998;7.5861702;9.4007902;10.99327... | -17.444059;-0.01657;-1.94137;-0.83929998;-1.11... | 3A;GH;GH;GH;GH;GH;GH;GH;BF;BF;BF;BF;BF;ML;ML;M... | Western Africa | |
| 5315 | P112167 | Other | Asia;Asia | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | PSG-Science & Technology Entrepreneurial Park ... | 2008-06-09T00:00:00Z | June | 2010-01-30T00:00:00Z | 150,000 | 0 | 0 | 0 | 150,000 | PSSCIEC | PSSCIEC | http://projects.worldbank.org/P112167/psg-scie... | NaN | NaN | Other Information and Communications Technolog... | NaN | NaN | NaN | NaN | Other Information and Communications Technolog... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Asia | |
| 5316 | P111570 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | U | N | L | Closed | Closed | COMESA Technical Assistance and Capacity: Afri... | 2008-06-06T00:00:00Z | June | 2011-08-31T00:00:00Z | 2,250,000 | 0 | 0 | 0 | 2,250,000 | CESA | ACTESA | http://projects.worldbank.org/P111570/comesa-t... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!50!$!AZ | Agricultural markets; commercialization and ag... | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!40!$!77 | Regional integration!$!20!$!47 | Rural markets!$!20!$!75 | Other economic management!$!20!$!24 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 5339 | P097136 | Africa | Africa;Africa | GM | Specific Investment Loan | IN | B | N | L | Closed | Closed | Open Africa North-South Tourism Corridor Project | 2008-05-30T00:00:00Z | May | 2012-05-31T00:00:00Z | 1,170,000 | 0 | 0 | 0 | 540,000 | PE A | PE A | http://projects.worldbank.org/P097136/open-afr... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!60!$!AZ | Other Industry; Trade and Services!$!40!$!YZ | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Biodiversity!$!50!$!80 | Rural non-farm income generation!$!50!$!76 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000896140!$!Western Province!$!-15!$!24!$!ZM;... | 0000896140;0000896972;0000897325;0000898905;00... | Western Province;Southern Province;Sioma;Seshe... | -15;-16.5;-16.66667;-17.475929;-13;-12.11108;-... | 24;27;23.533331;24.296841;25;32.105621;22.85;3... | ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZM;ZM;Z... | Africa | |
| 5340 | P084608 | Europe and Central Asia | Western Balkans;Western Balkans | GE | Specific Investment Loan | IN | B | N | L | Closed | Closed | Neretva and Trebisnjica River Basin Management... | 2008-05-29T00:00:00Z | May | 2015-06-30T00:00:00Z | 21,270,000 | 0 | 0 | 0 | 8,000,000 | IH A E | H IIST | http://projects.worldbank.org/P084608/neretva-... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Sanitation!$!26!$!WA | Central Government (Central Agencies)!$!11!$!BC | Social Protection!$!5!$!SA | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Biodiversity!$!14!$!80 | Pollution management and environmental health!... | Environmental policies and institutions!$!14!$!82 | Water resource management!$!29!$!85 | Land administration and management!$!14!$!83 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0003188891!$!Trebisnjica!$!42.928249!$!17.8366... | 0003188891;0003188893;0003194075;0003194510;00... | Trebisnjica;Trebinje;Opuzen;Nevesinje;Usce Ner... | 42.928249;42.711971;43.015282;43.25861;43.0191... | 17.836611;18.34362;17.565559;18.113331;17.4438... | 7B;7B;7B;7B;7B;7B;7B;7B;7B;7B;7B;7B;7B;7B;7B;7... | Western Balkans | |
| 5357 | P114410 | Africa | Western Africa;Western Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | WAEMU grant for capacity building | 2008-05-28T00:00:00Z | May | 2010-06-30T00:00:00Z | 300,000 | 0 | 0 | 0 | 300,000 | AEU C | UIT ESP | http://projects.worldbank.org/P114410/waemu-gr... | NaN | NaN | Other Public Administration!$!100!$!BZ | NaN | NaN | NaN | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Poverty strategy; analysis and monitoring!$!10... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 5359 | P084605 | Europe and Central Asia | Western Balkans;Western Balkans | GE | Specific Investment Loan | IN | B | N | L | Closed | Closed | ALBANIA/MONTENEGRO LAKE SKHODER INTEGRATED ECO... | 2008-05-27T00:00:00Z | May | 2012-12-31T00:00:00Z | 19,760,000 | 0 | 0 | 0 | 4,550,000 | AL | IISTIES | http://projects.worldbank.org/P084605/albaniam... | NaN | NaN | Central Government (Central Agencies)!$!50!$!BC | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Other Industry; Trade and Services!$!20!$!YZ | Sanitation!$!10!$!WA | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Ag... | Environmental policies and institutions!$!33!$!82 | Water resource management!$!33!$!85 | Pollution management and environmental health!... | Biodiversity!$!17!$!80 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000781913!$!Rrethi i Pukes!$!42.083328!$!20!$... | 0000781913;0003184083;0003187353;0003189077;00... | Rrethi i Pukes;Rrethi i Shkodres;Vranjina;Opst... | 42.083328;42.166672;42.278061;42.5;42.400002;4... | 20;19.58333;19.134439;19.33333;18.91972;19.166... | 7B;7B;7B;7B;7B;7B;7B;7B | Western Balkans | |
| 5362 | P098248 | Latin America and Caribbean | Andean Countries;Andean Countries | GE | Specific Investment Loan | IN | B | N | L | Closed | Closed | Adaptation to the Impact of Rapid Glacier Retr... | 2008-05-27T00:00:00Z | May | 2014-03-31T00:00:00Z | 35,520,000 | 0 | 0 | 0 | 7,490,000 | CUIA | CUIA | http://projects.worldbank.org/P098248/adaptati... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Other Agriculture; Fishing and Forestry!$!27!$!AZ | Other Public Administration!$!21!$!BZ | Water Supply!$!12!$!WC | Forestry!$!4!$!AT | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Climate change!$!67!$!81 | Biodiversity!$!33!$!80 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0003652461!$!Cantón Quito!$!-0.21667001!$!-78.... | 0003652461;0003652462;0003652559;0003653224;00... | Cantón Quito;Quito;RÃo Quijos;Provincia de Pic... | -0.21667001;-0.22984999;-0.15117;-0.08333;-0.4... | -78.5;-78.524948;-77.384468;-78.5;-77.969643;-... | 6A;6A;6A;EC;6A;EC;6A;6A;6A;6A;6A;BO;BO;6A;BO;B... | Andean Countries | |
| 5366 | P100635 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | PE | Adaptable Program Loan | IN | C | N | L | Closed | Closed | OECS E-Government for Regional Integration Pro... | 2008-05-27T00:00:00Z | May | 2014-02-28T00:00:00Z | 7,200,000 | 0 | 7,200,000 | 7,200,000 | 0 | EET | ECS SECE | http://projects.worldbank.org/P100635/oecs-e-g... | NaN | NaN | Central Government (Central Agencies)!$!100!$!BC | NaN | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Regional integration!$!25!$!47 | Trade facilitation and market access!$!13!$!49 | Tax policy and administration!$!13!$!28 | Administrative and civil service reform!$!25!$!25 | Public expenditure; financial management and p... | NaN | Global Public Goods Priorities|Millennium Deve... | IDA44510;IDA44510;IDA44520;IDA44530 | NaN | NaN | NaN | NaN | NaN | 0003575830!$!Dominica!$!15.5!$!-61.333328!$!DM... | 0003575830;0003576468;0003577815;0003580239 | Dominica;Saint Lucia;Saint Vincent and the Gre... | 15.5;13.88333;13.08333;12.11667 | -61.333328;-60.966671;-61.200001;-61.666672 | DM;LC;VC;GD | Organization of Eastern Caribbean States | |
| 5454 | P108906 | Africa | Eastern Africa;Eastern Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | NELSAP Regional Agricultural Trade and Product... | 2008-04-14T00:00:00Z | April | 2009-09-30T00:00:00Z | 1,000,000 | 0 | 0 | 0 | 1,000,000 | ILE ASI | ELSAP C | http://projects.worldbank.org/P108906/nelsap-r... | NaN | NaN | Agricultural markets; commercialization and ag... | Trade!$!25!$!YY | Agro-industry!$!25!$!YB | NaN | NaN | Agricultural markets; commercialization and ag... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | Trade facilitation and market access!$!40!$!49 | Export development and competitiveness!$!20!$!45 | Regional integration!$!20!$!47 | Rural services and infrastructure!$!20!$!78 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Eastern Africa | |
| 5505 | P113571 | Africa | Africa;Africa | RE | Specific Investment Loan | IN | C | N | L | Closed | Closed | UIS Building Sustainable Reporting Systems for... | 2008-02-28T00:00:00Z | February | 2009-12-31T00:00:00Z | 220,000 | 0 | 0 | 0 | 220,000 | UESC IS | UESC IS | http://projects.worldbank.org/P113571/uis-buil... | NaN | NaN | Other Education!$!100!$!EZ | NaN | NaN | NaN | NaN | Other Education;Other Education | NaN | NaN | NaN | NaN | NaN | Education;Education | Education for all!$!100!$!65 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities|Millennium Devel... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 5593 | P111823 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Capacity Building for African Regional Schools... | 2007-12-06T00:00:00Z | December | 2010-12-31T00:00:00Z | 230,000 | 0 | 0 | 0 | 230,000 | AICA E | AISTAT | http://projects.worldbank.org/P111823/capacity... | NaN | NaN | Central Government (Central Agencies)!$!100!$!BC | NaN | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Economic statistics; modeling and forecasting!... | Poverty strategy; analysis and monitoring!$!33... | NaN | NaN | NaN | NaN | Global Public Goods Priorities;Global Public G... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 5621 | P096058 | Africa | Africa;Africa | GE | Adaptable Program Loan | IN | B | Y | L | Closed | Closed | West Africa Regional Biosafety | 2007-11-13T00:00:00Z | November | 2013-06-30T00:00:00Z | 7,500,000 | 0 | 0 | 0 | 5,400,000 | IISTIES | CAECA | http://projects.worldbank.org/P096058/west-afr... | NaN | NaN | Central Government (Central Agencies)!$!93!$!BC | Crops!$!7!$!AH | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Ag... | Environmental policies and institutions!$!33!$!82 | Biodiversity!$!67!$!80 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 5622 | P105140 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | B | N | L | Closed | Closed | West Africa Regional Biosafety | 2007-11-13T00:00:00Z | November | 2014-05-30T00:00:00Z | 3,900,000 | 0 | 3,900,000 | 3,900,000 | 0 | IIST | PAASP | http://projects.worldbank.org/P105140/west-afr... | NaN | NaN | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Environmental policies and institutions!$!33!$!82 | Biodiversity!$!67!$!80 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA43680;IDA43680 | NaN | NaN | NaN | NaN | NaN | 0002357048!$!Ouagadougou!$!12.36566!$!-1.53388... | 0002357048 | Ouagadougou | 12.36566 | -1.53388 | BF | Africa | |
| 5652 | P100785 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | West and Central Africa Air Transport Safety &... | 2007-10-02T00:00:00Z | October | 2013-05-31T00:00:00Z | 46,650,000 | 0 | 46,650,000 | 46,650,000 | 0 | UP T SIX | ECAS UE | http://projects.worldbank.org/P100785/west-cen... | NaN | NaN | Aviation!$!94!$!TV | Central Government (Central Agencies)!$!6!$!BC | NaN | NaN | NaN | Aviation;Aviation;Central Government (Central ... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Public Administr... | Regulation and competition policy!$!14!$!40 | Trade facilitation and market access!$!28!$!49 | Infrastructure services for private sector dev... | Regional integration!$!29!$!47 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA43640;IDA43640 | NaN | NaN | NaN | NaN | NaN | 0002324774!$!Port Harcourt!$!4.77742!$!7.01340... | 0002324774;0002328926;0002332459;0002335204;00... | Port Harcourt;Federal Republic of Nigeria;Lago... | 4.77742;10;6.4540701;12.00012;9.0578499 | 7.0134001;8;3.39467;8.5167198;7.49508 | NG;NG;NG;NG;NG | Africa | |
| 5667 | P107572 | Latin America and Caribbean | Central America;Central America | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Regional Process for Forest Law Enforcement an... | 2007-09-14T00:00:00Z | September | 2008-12-31T00:00:00Z | 500,000 | 0 | 0 | 0 | 440,000 | CCACIS | CCACIS | http://projects.worldbank.org/P107572/regional... | NaN | NaN | Forestry!$!100!$!AT | NaN | NaN | NaN | NaN | Forestry;Forestry | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!100!$!77 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central America | |
| 5721 | P104225 | Africa | Africa;Africa | GM | Specific Investment Loan | IN | C | N | L | Closed | Closed | Strategic Partnership for Fisheries in Africa | 2007-07-19T00:00:00Z | July | 2011-08-31T00:00:00Z | 1,330,000 | 0 | 0 | 0 | 1,000,000 | NaN | AICA U | http://projects.worldbank.org/P104225/strategi... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!100!... | NaN | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural non-farm income generation!$!33!$!76 | Other environment and natural resources manage... | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 5740 | P093806 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | A | N | L | Closed | Closed | Niger Basin Water Resources Development and Su... | 2007-07-03T00:00:00Z | July | 2017-12-31T00:00:00Z | 233,200,000 | 0 | 186,000,000 | 186,000,000 | 0 | IE ASI | IE ASI | http://projects.worldbank.org/P093806/niger-ba... | NaN | NaN | Renewable Energy Hydro!$!59!$!LH | Other Water Supply; Sanitation and Waste Manag... | Central Government (Central Agencies)!$!12!$!BC | Irrigation and Drainage!$!5!$!AI | Other Agriculture; Fishing and Forestry!$!5!$!AZ | Renewable Energy Hydro;Renewable Energy Hydro;... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Other rural development!$!25!$!79 | Environmental policies and institutions!$!25!$!82 | Water resource management!$!50!$!85 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH3210;IDAH3210;IDA43420;IDA43430;IDA43480;I... | NaN | NaN | NaN | NaN | NaN | 0002324433!$!Rivers State!$!4.7497401!$!6.8276... | 0002324433;0002328925;0002328926;0002328928;00... | Rivers State;Niger State;Federal Republic of N... | 4.7497401;10;10;5.3015599;8.5;5.5;7.3333302;6.... | 6.8276601;6;8;6.4168;5;7.1666698;8.75;7;3.4062... | NG;NG;NG;NG;NG;NG;NG;NG;BJ;BJ;BJ;BJ;BJ;BJ;GN;G... | Western Africa | |
| 5753 | P099312 | Africa | Africa;Africa | CN | Investment Project Financing | IN | A | N | L | Active | Active | OMVS Felou Hydroelectric Project | 2007-06-29T00:00:00Z | June | 2019-12-31T00:00:00Z | 5,060,000 | 0 | 0 | 0 | 5,060,000 | T S | SE | http://projects.worldbank.org/P099312/omvs-fel... | NaN | NaN | Power!$!50!$!LD | Renewable energy!$!50!$!LE | NaN | NaN | NaN | Power;Power;Renewable energy | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Climate change!$!40!$!81 | Regional integration!$!40!$!47 | Water resource management!$!20!$!85 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0002457501!$!Chutes du Felou!$!14.3564!$!-11.3... | 0002457501 | Chutes du Felou | 14.3564 | -11.34515 | 3A | Africa | |
| 5767 | P104523 | Africa | Africa;Africa | RE | Specific Investment Loan | IN | B | N | L | Closed | Closed | AFCC2/RI-IGAD Regional HIV/AIDS Partnership Pr... | 2007-06-28T00:00:00Z | June | 2015-06-30T00:00:00Z | 15,000,000 | 0 | 0 | 0 | 15,000,000 | ITEE | ITEE | http://projects.worldbank.org/P104523/igad-reg... | NaN | NaN | Social Protection!$!100!$!SA | NaN | NaN | NaN | NaN | Social Protection;Social Protection | NaN | NaN | NaN | NaN | NaN | Social Protection;Social Protection | HIV/AIDS!$!67!$!88 | Regional integration!$!33!$!47 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Corporate Advoc... | NaN | NaN | NaN | NaN | NaN | NaN | 0000051537!$!Somalia!$!6!$!48!$!SO;0000192950!... | 0000051537;0000192950;0000223816;0000226074;00... | Somalia;Republic of Kenya;Republic of Djibouti... | 6;1;11.83333;1.25;9;16;7.5 | 48;38;42.5;32.5;39.5;30;30 | SO;KE;DJ;UG;ET;SD;SS | Africa | |
| 5772 | P072202 | Africa | Africa;Africa | GE | Specific Investment Loan | IN | C | N | L | Closed | Closed | AFCC2/RI South West Indian Ocean Fisheries Pro... | 2007-06-28T00:00:00Z | June | 2013-03-31T00:00:00Z | 29,240,000 | 0 | 0 | 0 | 12,720,000 | EET | EA AI | http://projects.worldbank.org/P072202/south-we... | NaN | NaN | Central Government (Central Agencies)!$!61!$!BC | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Ag... | Biodiversity!$!40!$!80 | Environmental policies and institutions!$!40!$!82 | Other rural development!$!20!$!79 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000160260!$!Dar es Salaam Region!$!-6.8352299... | 0000160260;0000241428;0000400740;0000921882;00... | Dar es Salaam Region;Beau Vallon;Coast Provinc... | -6.8352299;-4.6201401;-3;-11.58333;-18.37538;-... | 39.195969;55.431599;39.5;43.333328;41.264648;5... | TZ;SC;KE;KM;MU;ZA;3A;MG;MZ;SO;RE | Africa | |
| 5778 | P079736 | Africa | Central Africa;Central Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | CEMAC - Transport-Transit Facilitation | 2007-06-26T00:00:00Z | June | 2019-01-31T00:00:00Z | 276,000,000 | 0 | 201,000,000 | 201,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P079736?lang=en | NaN | NaN | Central Government (Central Agencies)!$!10!$!BC | Rural and Inter-Urban Roads!$!59!$!TI | Ports/Waterways!$!3!$!TP | Railways!$!25!$!TW | Other Transportation!$!3!$!TZ | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Tr... | Regional integration!$!14!$!47 | Trade facilitation and market access!$!29!$!49 | Injuries and non-communicable diseases!$!14!$!89 | Infrastructure services for private sector dev... | Tax policy and administration!$!14!$!28 | NaN | Global Public Goods Priorities|Millennium Deve... | IDA43370;IDA43370;IDA46590;IDA49870;IDA51460;I... | NaN | NaN | NaN | NaN | NaN | 0000240604!$!Bambari!$!5.7679501!$!20.67565!$!... | 0000240604;0000244175;0002220957;0002221110;00... | Bambari;Ere;Yaounde;Garou;Ngaoundere;Meiganga;... | 5.7679501;14.31667;3.8666699;11.3975;7.3276501... | 20.67565;21.66667;11.51667;14.55528;13.58472;1... | CF;TD;CM;CM;CM;CM;CM;CM;CM;CM;CM;CM;CM;CM;CM;C... | Central Africa | |
| 5826 | P105711 | Africa | Africa;Africa | GE | Adaptable Program Loan | IN | A | N | L | Closed | Closed | Africa Stockpiles Programme - P1 Ethiopia | 2007-06-19T00:00:00Z | June | 2013-06-28T00:00:00Z | 9,090,000 | 0 | 0 | 0 | 2,620,000 | EET | IIST | http://projects.worldbank.org/P105711/africa-s... | NaN | NaN | Central Government (Central Agencies)!$!40!$!BC | Waste Management!$!33!$!WB | Other Industry; Trade and Services!$!27!$!YZ | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Wa... | Law reform!$!17!$!33 | Pollution management and environmental health!... | Other social protection and risk management!$!... | Other environment and natural resources manage... | Environmental policies and institutions!$!17!$!82 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000344979!$!Addis Ababa!$!9.0249701!$!38.7468... | 0000344979 | Addis Ababa | 9.0249701 | 38.746891 | ET | Africa | |
| 5845 | P098423 | East Asia and Pacific | Pacific Islands;Pacific Islands | GE | Investment Project Financing | IN | C | N | L | Active | Active | Sustainable Energy Finance Project | 2007-06-12T00:00:00Z | June | 2018-09-30T00:00:00Z | NaN | 0 | 0 | 0 | 9,480,000 | NaN | NaN | http://projects.worldbank.org/P098423/sustaina... | NaN | NaN | Renewable Energy Biomass!$!22!$!LB | Renewable Energy Geothermal!$!20!$!LI | Renewable Energy Solar!$!22!$!LU | Renewable Energy Wind!$!22!$!LW | Central Government (Central Agencies)!$!9!$!BC | Renewable Energy Biomass;Renewable Energy Biom... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Climate change!$!100!$!81 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0002080185!$!Republic of the Marshall Islands!... | 0002080185;0002088628;0002103350;0002134431;00... | Republic of the Marshall Islands;Independent S... | 7.1129999;-6;-8;-16;-18 | 171.23599;147;159;167;178 | MH;PG;SB;VU;FJ | Pacific Islands | |
| 5887 | P097201 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Active | Active | AFCC2/RI-Regional and Domestic Power Markets D... | 2007-05-29T00:00:00Z | May | 2018-06-30T00:00:00Z | 500,700,000 | 0 | 296,700,000 | 296,700,000 | 0 | ECACTI | SEL | http://projects.worldbank.org/P097201/regional... | NaN | NaN | Central Government (Central Agencies)!$!8!$!BC | Renewable Energy Hydro!$!67!$!LH | Energy Transmission and Distribution!$!25!$!LT | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;En... | Export development and competitiveness!$!25!$!45 | Rural services and infrastructure!$!24!$!78 | Infrastructure services for private sector dev... | Corporate governance!$!13!$!38 | Regional integration!$!13!$!47 | NaN | Global Public Goods Priorities|Corporate Advoc... | IDAH2960;IDAH2960;IDAH7080 | NaN | NaN | NaN | NaN | NaN | 0000205703!$!Province du Katanga!$!-9!$!26!$!Z... | 0000205703;0002255459;0002314302;0002314869;00... | Province du Katanga;Mpasa;Kinshasa;Kibanseke I... | -9;-1.45583;-4.32758;-4.4310999;-5.65064;-4.42... | 26;15.88972;15.31357;15.37999;13.64694;15.36583 | ZR;CG;ZR;ZR;ZR;ZR | Africa | |
| 5907 | P103518 | Africa | Africa;Africa | RE | Specific Investment Loan | IN | C | N | L | Closed | Closed | Eastern Nile Flood Prevention and Early Warnin... | 2007-05-23T00:00:00Z | May | 2010-12-31T00:00:00Z | 4,080,000 | 0 | 0 | 0 | 3,480,000 | ET | ET | http://projects.worldbank.org/P103518/eastern-... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Other Transportation!$!8!$!TZ | Other Public Administration!$!8!$!BZ | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Natural disaster management!$!67!$!52 | Water resource management!$!33!$!85 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 5925 | P078643 | Africa | Africa;Africa | GE | Specific Investment Loan | IN | C | N | L | Closed | Closed | GEF-Western Indian Ocean Marine Highway Develo... | 2007-05-22T00:00:00Z | May | 2012-12-31T00:00:00Z | 26,000,000 | 0 | 0 | 0 | 11,000,000 | I C I | T | http://projects.worldbank.org/P078643/gef-west... | NaN | NaN | Central Government (Central Agencies)!$!80!$!BC | Ports/Waterways!$!20!$!TP | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Tr... | Biodiversity!$!14!$!80 | Pollution management and environmental health!... | Regional integration!$!14!$!47 | Environmental policies and institutions!$!29!$!82 | Law reform!$!14!$!33 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000148724!$!Zanzibar Urban/West Region!$!-6.1... | 0000148724;0000148725;0000148728;0000149595;00... | Zanzibar Urban/West Region;Zanzibar North Regi... | -6.1666698;-5.9166698;-6.25;-5.1999998;-7.25;-... | 39.25;39.283329;39.416672;38.283329;38.833328;... | TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;TZ;3A;KE;TZ;3A;MZ;MZ;M... | Africa | |
| 5941 | P107046 | Latin America and Caribbean | Central America;Central America | RE | Specific Investment Loan | IN | C | N | L | Closed | Closed | Carbon Finance Assist (Central America) | 2007-05-02T00:00:00Z | May | 2009-06-30T00:00:00Z | 170,000 | 0 | 0 | 0 | 170,000 | CCA | CCA | http://projects.worldbank.org/P107046/carbon-f... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Other Energy and Extractives!$!20!$!LZ | Other Transportation!$!20!$!TZ | Other Water Supply; Sanitation and Waste Manag... | Other Industry; Trade and Services!$!20!$!YZ | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Climate change!$!100!$!81 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central America | |
| 5976 | P094084 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | West Africa Agricultural Productivity Program ... | 2007-03-29T00:00:00Z | March | 2013-12-31T00:00:00Z | 51,000,000 | 0 | 45,000,000 | 45,000,000 | 0 | SEEALA | CAEST | http://projects.worldbank.org/P094084/west-afr... | NaN | NaN | Agricultural Extension; Research; and Other Su... | Central Government (Central Agencies)!$!16!$!BC | Other Public Administration!$!4!$!BZ | NaN | NaN | Agricultural Extension; Research; and Other Su... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Regional integration!$!14!$!47 | Trade facilitation and market access!$!14!$!49 | Rural services and infrastructure!$!29!$!78 | Export development and competitiveness!$!14!$!45 | Technology diffusion!$!29!$!48 | NaN | Global Public Goods Priorities|Millennium Deve... | IDA42860;IDA42860;IDA42870;IDA42880 | NaN | NaN | NaN | NaN | NaN | 0002253350!$!Region de Dakar!$!14.76667!$!-17.... | 0002253350;0002304116;0002460594 | Region de Dakar;Ashanti Region;District de Bamako | 14.76667;6.75;12.65 | -17.283331;-1.5;-8 | SN;GH;ML | Africa | |
| 5977 | P094103 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | AFCC2/RI-Regional Communications Infrastructur... | 2007-03-29T00:00:00Z | March | 2016-12-31T00:00:00Z | 201,900,000 | 0 | 164,500,000 | 164,500,000 | 0 | IST PHAS | ELEAT | http://projects.worldbank.org/P094103/regional... | NaN | NaN | ICT Infrastructure!$!75!$!CI | Other Industry; Trade and Services!$!9!$!YZ | Central Government (Central Agencies)!$!9!$!BC | Other Information and Communications Technolog... | NaN | ICT Infrastructure;ICT Infrastructure;Other In... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Regulation and competition policy!$!14!$!40 | Trade facilitation and market access!$!14!$!49 | Infrastructure services for private sector dev... | Administrative and civil service reform!$!14!$!25 | Regional integration!$!29!$!47 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH2830;IDAH2830;IDA54080;IDA50920;IDA42840;I... | NaN | NaN | NaN | NaN | NaN | 0000184742!$!Nairobi Province!$!-1.28333!$!36.... | 0000184742;0007303939;0007670851 | Nairobi Province;Bujumbura Mairie;Alaotra-Mangoro | -1.28333;-3.3801999;-17.9 | 36.833328;29.3547;48.400002 | KE;BI;MG | Africa | |
| 6017 | P094539 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | PE | Specific Investment Loan | IN | C | N | L | Closed | Closed | OECS-Catastrophe Insurance | 2007-03-08T00:00:00Z | March | 2010-12-31T00:00:00Z | 14,200,000 | 0 | 14,200,000 | 14,200,000 | 0 | ECS EE | IISTIES | http://projects.worldbank.org/P094539/oecs-cat... | NaN | NaN | Insurance and Pension!$!100!$!FD | NaN | NaN | NaN | NaN | Insurance and Pension;Insurance and Pension | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Natural disaster management!$!100!$!52 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA42690;IDA42690;IDA42700;IDA42710;IDA42720 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Organization of Eastern Caribbean States | |
| 6054 | P105346 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Accelerated Data Program | 2007-01-31T00:00:00Z | January | NaN | 200,000 | 0 | 0 | 0 | 200,000 | ULTICU | ATL | http://projects.worldbank.org/P105346/accelera... | NaN | NaN | ICT Services!$!50!$!CS | Public Administration - Information and Commun... | Other Information and Communications Technolog... | NaN | NaN | ICT Services;ICT Services;Public Administratio... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Economic statistics; modeling and forecasting!... | Social analysis and monitoring!$!20!$!61 | Poverty strategy; analysis and monitoring!$!40... | NaN | NaN | NaN | Global Public Goods Priorities;Global Public G... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 6089 | P104455 | Latin America and Caribbean | Mercosur;Mercosur | RE | Emergency Recovery Loan | IN | C | N | L | Closed | Closed | Stregthening of the Southern Agricultural Coun... | 2006-12-22T00:00:00Z | December | 2010-03-31T00:00:00Z | 500,000 | 0 | 0 | 0 | 500,000 | IICA | IICA | http://projects.worldbank.org/P104455/stregthe... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!50!$!AZ | Fisheries!$!25!$!AF | Livestock!$!25!$!AL | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Trade facilitation and market access!$!33!$!49 | Other rural development!$!67!$!79 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Mercosur | |
| 6188 | P069786 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | ENSAP (Eastern Nile Subsidiary Action Program)... | 2006-10-12T00:00:00Z | October | 2008-12-31T00:00:00Z | 2,580,000 | 0 | 0 | 0 | 2,580,000 | I | ET | http://projects.worldbank.org/P069786/ensap-ea... | NaN | NaN | Other Transportation!$!40!$!TZ | Other Non-bank Financial Institutions!$!30!$!FL | Central Government (Central Agencies)!$!30!$!BC | NaN | NaN | Other Transportation;Other Transportation;Othe... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Financial Sector... | Public expenditure; financial management and p... | Infrastructure services for private sector dev... | Regional integration!$!50!$!47 | NaN | NaN | NaN | Global Public Goods Priorities|Corporate Advoc... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 6264 | P103910 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | GW-Donor Harmonization & PRSP (LICUS TF) | 2006-07-06T00:00:00Z | July | NaN | 100,000 | 0 | 0 | 0 | 100,000 | EPULIC | IIST | http://projects.worldbank.org/P103910/gw-donor... | NaN | NaN | Other Public Administration!$!50!$!BZ | Central Government (Central Agencies)!$!50!$!BC | NaN | NaN | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Pu... | Macroeconomic management!$!50!$!23 | Public expenditure; financial management and p... | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 6279 | P094916 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | A | N | L | Closed | Closed | WAPP APL 2 - OMVS Felou Hydroelectric Project | 2006-06-29T00:00:00Z | June | 2014-12-31T00:00:00Z | 125,000,000 | 0 | 75,000,000 | 75,000,000 | 0 | T S | SE | http://projects.worldbank.org/P094916/wapp-apl... | NaN | NaN | Renewable Energy Hydro!$!93!$!LH | Other Public Administration!$!7!$!BZ | NaN | NaN | NaN | Renewable Energy Hydro;Renewable Energy Hydro;... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Trade facilitation and market access!$!17!$!49 | Regulation and competition policy!$!33!$!40 | Regional integration!$!33!$!47 | Water resource management!$!17!$!85 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA46450;IDA46450;IDA46460;IDA42150;IDA42160;I... | NaN | NaN | NaN | NaN | NaN | 0002453812!$!Manantali!$!13.2076!$!-10.462!$!M... | 0002453812;0002455518 | Manantali;Kayes | 13.2076;14.44693 | -10.462;-11.44448 | ML;ML | Africa | |
| 6280 | P094917 | Africa | Western Africa;Western Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | WAPP APL 1 (2nd Phase - COASTAL TRANSMISSION ... | 2006-06-29T00:00:00Z | June | 2016-06-30T00:00:00Z | 75,000,000 | 0 | 60,000,000 | 60,000,000 | 0 | EET | LTA IE | http://projects.worldbank.org/P094917/wapp-apl... | NaN | NaN | Energy Transmission and Distribution!$!45!$!LT | Other Energy and Extractives!$!45!$!LZ | Renewable Energy Hydro!$!5!$!LH | Other Public Administration!$!5!$!BZ | NaN | Energy Transmission and Distribution;Energy Tr... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Trade facilitation and market access!$!33!$!49 | Regional integration!$!67!$!47 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA42130;IDA42130;IDA42140 | NaN | NaN | NaN | NaN | NaN | 0002294700!$!Tema!$!5.6697998!$!-0.01657!$!GH;... | 0002294700;0002294938;0002296606;0002297313;00... | Tema;Tafo;Obuasi;Nkawkaw;Kumasi;Kpong;Konongo;... | 5.6697998;6.73453;6.2060199;6.5512099;6.688479... | -0.01657;-1.6127501;-1.6619101;-0.76620001;-1.... | GH;GH;GH;GH;GH;GH;GH;GH;GH;GH;GH;TG;TG;BJ;BJ;BJ | Western Africa | |
| 6338 | P085488 | Latin America and Caribbean | Central America;Central America | GE | Specific Investment Loan | IN | B | N | L | Closed | Closed | Corazon Transboundary Biosphere Reserve Project | 2006-06-13T00:00:00Z | June | 2012-12-15T00:00:00Z | 34,350,000 | 0 | 0 | 0 | 12,000,000 | CCA | CCA AE | http://projects.worldbank.org/P085488/corazon-... | NaN | NaN | Central Government (Central Agencies)!$!37!$!BC | Other Agriculture; Fishing and Forestry!$!23!$!AZ | Forestry!$!22!$!AT | Sub-National Government!$!12!$!BH | Social Protection!$!6!$!SA | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Ag... | Indigenous peoples!$!33!$!60 | Environmental policies and institutions!$!17!$!82 | Other rural development!$!17!$!79 | Biodiversity!$!33!$!80 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0003604249!$!Departamento de Olancho!$!14.8333... | 0003604249;0003609583;0003617458;0003617763;00... | Departamento de Olancho;Departamento de Gracia... | 14.83333;15.25;13.7;12.13282;13.75;14;13.44305 | -86;-84.333328;-86.166672;-86.250397;-85.58332... | HN;HN;NI;NI;NI;NI;NI | Central America | |
| 6350 | P093826 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | A | N | L | Closed | Closed | Senegal River Basin Multi-purpose Water Resour... | 2006-06-08T00:00:00Z | June | 2013-03-31T00:00:00Z | 142,170,000 | 0 | 110,000,000 | 110,000,000 | 0 | UIEA A | AISATI | http://projects.worldbank.org/P093826/senegal-... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Health!$!22!$!HG | Irrigation and Drainage!$!22!$!AI | Fisheries!$!11!$!AF | Livestock!$!11!$!AL | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Pollution management and environmental health!... | Water resource management!$!29!$!85 | Administrative and civil service reform!$!14!$!25 | Land administration and management!$!14!$!83 | Regional integration!$!29!$!47 | NaN | Global Public Goods Priorities|Millennium Deve... | IDAH2310;IDAH2310;IDA41820;IDA41830;IDA41840 | NaN | NaN | NaN | NaN | NaN | 0002246451!$!Region de Saint-Louis!$!16.33333!... | 0002246451;0002248753;0002253376;0002375742;00... | Region de Saint-Louis;Region de Matam;Dagana;W... | 16.33333;15.16667;16.334;17.866501;16;17.25;10... | -15;-13.66667;-15.839;-14.65878;-12.83333;-13.... | SN;SN;SN;MR;MR;MR;GN;GN;GN;ML;ML;ML | Africa | |
| 6412 | P083751 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | West and Central Africa Air Transport Safety &... | 2006-04-27T00:00:00Z | April | 2014-06-30T00:00:00Z | 33,570,000 | 0 | 33,570,000 | 33,570,000 | 0 | UIA A | ECAS | http://projects.worldbank.org/P083751/west-cen... | NaN | NaN | Aviation!$!94!$!TV | Central Government (Central Agencies)!$!6!$!BC | NaN | NaN | NaN | Aviation;Aviation;Central Government (Central ... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Public Administr... | Regulation and competition policy!$!17!$!40 | Trade facilitation and market access!$!33!$!49 | Infrastructure services for private sector dev... | Regional integration!$!33!$!47 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH2140;IDAH2140;IDAH2150;IDA41630;IDA41640 | NaN | NaN | NaN | NaN | NaN | 0002220957!$!Yaounde!$!3.8666699!$!11.51667!$!... | 0002220957;0002232593;0002422465;0006296409;00... | Yaounde;Douala;Conakry;Ouagadougou Airport;Bam... | 3.8666699;4.0482702;9.5379496;12.35319;12.53333 | 11.51667;9.7042799;-13.67729;-1.5124201;-7.949... | CM;CM;GN;BF;ML | Africa | |
| 6504 | P079734 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | A | N | L | Closed | Closed | AFCC2/RI-East Africa Trade and Transport Facil... | 2006-01-24T00:00:00Z | January | 2015-09-30T00:00:00Z | 281,670,000 | 0 | 199,020,000 | 199,020,000 | 0 | EA UA | IISTIES | http://projects.worldbank.org/P079734/east-afr... | NaN | NaN | Other Transportation!$!38!$!TZ | Railways!$!37!$!TW | Other Public Administration!$!13!$!BZ | Ports/Waterways!$!12!$!TP | NaN | Other Transportation;Other Transportation;Rail... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Transportation;P... | Regulation and competition policy!$!14!$!40 | Trade facilitation and market access!$!29!$!49 | Income Support for Old Age; Disability & Survi... | Improving labor markets!$!14!$!51 | Regional integration!$!29!$!47 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA49770;IDA49770;IDA41470;IDA41480;IDA41490;I... | NaN | NaN | NaN | NaN | NaN | 0000049518!$!Republic of Rwanda!$!-2!$!30!$!RW... | 0000049518;0000149590;0000158027;0000159045;00... | Republic of Rwanda;United Republic of Tanzania... | -2;-6;-6.7666702;-3.9000001;-6.8234901;-3.3987... | 30;35;38.916672;32.933331;39.269508;37.683361;... | RW;TZ;TZ;TZ;TZ;KE;KE;KE;KE;KE;KE;KE;KE;KE;KE;K... | Africa | |
| 6507 | P098770 | Africa | Africa;Africa | GU | NaN | NaN | B | Y | L | Closed | Closed | AFCC2/RI East Africa Trade and Transport Facil... | 2006-01-24T00:00:00Z | January | NaN | 60,000,000 | 0 | 55,000,000 | 55,000,000 | 0 | UAA A | IISTIES | http://projects.worldbank.org/P098770/east-afr... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | State-owned enterprise restructuring and priva... | Regulation and competition policy!$!50!$!40 | Income Support for Old Age; Disability & Survi... | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAB0090;IDAB0090;IDAB0100 | NaN | NaN | NaN | NaN | NaN | 0000192950!$!Republic of Kenya!$!1!$!38!$!KE;0... | 0000192950;0000226074 | Republic of Kenya;Republic of Uganda | 1;1.25 | 38;32.5 | KE;UG | Africa | |
| 6526 | P079281 | Europe and Central Asia | Caucasus;Caucasus | RE | Technical Assistance Loan | IN | U | N | L | Closed | Closed | TRANS CAUCASUS TOURISM INITIATIVE (AZ-AM-GE) | 2005-12-30T00:00:00Z | December | 2005-11-15T00:00:00Z | 860,000 | 0 | 0 | 0 | 70,000 | T A | T A | http://projects.worldbank.org/P079281/trans-ca... | NaN | NaN | Other Industry; Trade and Services!$!100!$!YZ | NaN | NaN | NaN | NaN | Other Industry; Trade and Services;Other Indus... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | Municipal governance and institution building!... | Participation and civic engagement!$!50!$!57 | Rural non-farm income generation!$!25!$!76 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Caucasus | |
| 6629 | P092746 | Latin America and Caribbean | Andean Countries;Andean Countries | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Strategic Plans for the Statistical Developmen... | 2005-10-04T00:00:00Z | October | 2008-07-03T00:00:00Z | 400,000 | 0 | 0 | 0 | 400,000 | SECETAIA | SECETAIA | http://projects.worldbank.org/P092746/strategi... | NaN | NaN | Other Public Administration!$!100!$!BZ | NaN | NaN | NaN | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Poverty strategy; analysis and monitoring!$!10... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Andean Countries | |
| 6631 | P073460 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | ENSAP Multipurpose Program | 2005-09-28T00:00:00Z | September | 2009-05-31T00:00:00Z | 1,140,000 | 0 | 0 | 0 | 1,140,000 | I | ET | http://projects.worldbank.org/P073460/ensap-mu... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Other Agriculture; Fishing and Forestry!$!25!$!AZ | Power!$!25!$!LD | Other Transportation!$!4!$!TZ | Other Public Administration!$!4!$!BZ | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!40!$!85 | Regional integration!$!40!$!47 | Other environment and natural resources manage... | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 6651 | P103189 | Africa | Africa;Africa | GE | Adaptable Program Loan | IN | A | N | L | Closed | Closed | Africa Stockpiles Programme - Project 1 (Mali;... | 2005-09-08T00:00:00Z | September | 2013-05-31T00:00:00Z | 16,500,000 | 0 | 0 | 0 | 13,400,000 | ALI | CUT P | http://projects.worldbank.org/P103189/africa-s... | NaN | NaN | Central Government (Central Agencies)!$!40!$!BC | Waste Management!$!33!$!WB | Other Industry; Trade and Services!$!27!$!YZ | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Wa... | Law reform!$!17!$!33 | Pollution management and environmental health!... | Other social protection and risk management!$!... | Other environment and natural resources manage... | Environmental policies and institutions!$!17!$!82 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0000153214!$!Morogoro Region!$!-7.9166698!$!37... | 0000153214;0000160263 | Morogoro Region;Dar es Salaam | -7.9166698;-6.8234901 | 37.25;39.269508 | TZ;TZ | Africa | |
| 6652 | P075776 | Africa | Africa;Africa | GE | Specific Investment Loan | IN | A | N | L | Closed | Closed | Africa Stockpiles Programme - Project 1 | 2005-09-08T00:00:00Z | September | 2012-06-30T00:00:00Z | 60,000,000 | 0 | 0 | 0 | 21,740,000 | AICA C | CUT P | http://projects.worldbank.org/P075776/africa-s... | NaN | NaN | Central Government (Central Agencies)!$!40!$!BC | Waste Management!$!33!$!WB | Other Industry; Trade and Services!$!27!$!YZ | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Wa... | Pollution management and environmental health!... | Other environment and natural resources manage... | Environmental policies and institutions!$!25!$!82 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 6721 | P075994 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | WAPP APL 1 (1st Phase - COASTAL TRANSMISSION B... | 2005-06-30T00:00:00Z | June | 2013-06-30T00:00:00Z | 83,000,000 | 0 | 40,000,000 | 40,000,000 | 0 | EET | LTA IE | http://projects.worldbank.org/P075994/wapp-apl... | NaN | NaN | Energy Transmission and Distribution!$!100!$!LT | NaN | NaN | NaN | NaN | Energy Transmission and Distribution;Energy Tr... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Infrastructure services for private sector dev... | Regional integration!$!67!$!47 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA40920;IDA40920 | NaN | NaN | NaN | NaN | NaN | 0002294076!$!Western Region!$!5.5!$!-2.5!$!GH;... | 0002294076;0002294234;0002294700;0002300569;00... | Western Region;Volta Region;Tema;Greater Accra... | 5.5;7;5.6697998;5.75;5.5;4.9728699 | -2.5;0.5;-0.01657;0;-1;-1.64732 | GH;GH;GH;GH;GH;GH | Africa | |
| 6732 | P100981 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | African EA&M Services | 2005-06-27T00:00:00Z | June | 2006-12-31T00:00:00Z | 190,000 | 0 | 0 | 0 | 190,000 | SAIEA | SAIEA | http://projects.worldbank.org/P100981/african-... | NaN | NaN | Other Industry; Trade and Services!$!30!$!YZ | Other Energy and Extractives!$!30!$!LZ | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Other Transportation!$!20!$!TZ | NaN | Other Industry; Trade and Services;Other Indus... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | Other public sector governance!$!33!$!30 | Environmental policies and institutions!$!67!$!82 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 6766 | P070547 | Africa | Africa;Africa | GE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Groundwater and Drought Management in SADC Pro... | 2005-06-14T00:00:00Z | June | 2011-10-31T00:00:00Z | 13,320,000 | 0 | 0 | 0 | 7,000,000 | ELEAT S | SAC ATE | http://projects.worldbank.org/P070547/groundwa... | NaN | NaN | Central Government (Central Agencies)!$!100!$!BC | NaN | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Environmental policies and institutions!$!33!$!82 | Water resource management!$!67!$!85 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000886747!$!Matabeleland South Province!$!-20... | 0000886747;0000886761;0000933043;0000933044;00... | Matabeleland South Province;Masvingo Province;... | -20.9;-20.6;-25;-25;-21;-24;-24.25;-25;-22;-25... | 28.799999;31.4;25;25.75;27.5;25;26.5;22;26;33.... | ZW;ZW;3A;3A;3A;3A;3A;3A;3A;ZA;MZ;MZ;MZ;3A;3A;3... | Africa | |
| 6798 | P089100 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | F | Y | L | Closed | Closed | Regional Trade Facilitation Project (ATI) Supp... | 2005-05-31T00:00:00Z | May | NaN | 12,500,000 | 0 | 12,500,000 | 12,500,000 | 0 | AICA T | AICA T | http://projects.worldbank.org/P089100/regional... | NaN | NaN | Insurance and Pension!$!100!$!FD | NaN | NaN | NaN | NaN | Insurance and Pension;Insurance and Pension | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Trade facilitation and market access!$!33!$!49 | International financial architecture!$!17!$!46 | Export development and competitiveness!$!17!$!45 | Regional integration!$!33!$!47 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 6827 | P088448 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | PE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Telecommunications & ICT Development Project | 2005-05-12T00:00:00Z | May | 2011-12-31T00:00:00Z | 2,700,000 | 1,350,000 | 1,350,000 | 2,700,000 | 0 | EET | ECS SECE | http://projects.worldbank.org/P088448/telecomm... | NaN | NaN | ICT Infrastructure!$!80!$!CI | Central Government (Central Agencies)!$!15!$!BC | Law and Justice!$!5!$!BG | NaN | NaN | ICT Infrastructure;ICT Infrastructure;Central ... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Regulation and competition policy!$!17!$!40 | Regional integration!$!17!$!47 | Infrastructure services for private sector dev... | Judicial and other dispute resolution mechanis... | Legal institutions for a market economy!$!16!$!34 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IBRD47750;IBRD47750;IBRD47770;IBRD47780;IDA405... | NaN | NaN | NaN | NaN | NaN | 0003575551!$!Basseterre!$!17.29484!$!-62.72610... | 0003575551;0003575830;0003576468;0003577815;00... | Basseterre;Dominica;Saint Lucia;Saint Vincent ... | 17.29484;15.5;13.88333;13.08333;12.11667 | -62.726101;-61.333328;-60.966671;-61.200001;-6... | KN;DM;LC;VC;GD | Organization of Eastern Caribbean States | |
| 6869 | P082243 | Latin America and Caribbean | Central America;Central America | PE | Specific Investment Loan | IN | B | N | L | Closed | Closed | Central America HIV/AIDS Project | 2005-03-29T00:00:00Z | March | 2010-11-30T00:00:00Z | 8,000,000 | 0 | 8,000,000 | 8,000,000 | 0 | CETAL A | CETAL A | http://projects.worldbank.org/P082243/central-... | NaN | NaN | Health!$!75!$!HG | Central Government (Central Agencies)!$!25!$!BC | NaN | NaN | NaN | Health;Health;Central Government (Central Agen... | NaN | NaN | NaN | NaN | NaN | Health;Health;Public Administration | Health system performance!$!17!$!67 | HIV/AIDS!$!33!$!88 | Personal and property rights!$!17!$!36 | Population and reproductive health!$!33!$!69 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH1540;IDAH1540 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central America | |
| 6890 | P075947 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | SVP: Efficient Water Use for Agricultural Pro... | 2005-03-17T00:00:00Z | March | 2009-06-30T00:00:00Z | 4,830,000 | 0 | 0 | 0 | 4,830,000 | ILE ASI | ILE ASI | http://projects.worldbank.org/P075947/svp-effi... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!70!$!AZ | Water Supply!$!30!$!WC | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Water resource management!$!67!$!85 | Rural policies and institutions!$!33!$!77 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 6891 | P080413 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | N | L | Closed | Closed | Great Lakes Initiative on HIV/AIDS (GLIA) Support | 2005-03-15T00:00:00Z | March | 2010-12-31T00:00:00Z | 20,000,000 | 0 | 20,000,000 | 20,000,000 | 0 | EAT LAE | EAT LAE | http://projects.worldbank.org/P080413/great-la... | NaN | NaN | Social Protection!$!60!$!SA | Central Government (Central Agencies)!$!40!$!BC | NaN | NaN | NaN | Social Protection;Social Protection;Central Go... | NaN | NaN | NaN | NaN | NaN | Social Protection;Social Protection;Public Adm... | Health system performance!$!17!$!67 | HIV/AIDS!$!33!$!88 | Gender!$!17!$!59 | Tuberculosis!$!17!$!93 | Population and reproductive health!$!16!$!69 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH1500;IDAH1500 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 6894 | P087003 | Europe and Central Asia | Central Asia;Central Asia | PE | Specific Investment Loan | IN | C | N | L | Closed | Closed | Central Asia AIDS Control Project | 2005-03-15T00:00:00Z | March | 2011-12-31T00:00:00Z | 32,160,000 | 0 | 25,000,000 | 25,000,000 | 0 | EET | AIS T | http://projects.worldbank.org/P087003/central-... | NaN | NaN | Health!$!65!$!HG | Central Government (Central Agencies)!$!25!$!BC | Social Protection!$!7!$!SA | Law and Justice!$!3!$!BG | NaN | Health;Health;Central Government (Central Agen... | NaN | NaN | NaN | NaN | NaN | Health;Health;Public Administration;Social Pro... | Health system performance!$!20!$!67 | HIV/AIDS!$!40!$!88 | Tuberculosis!$!20!$!93 | Personal and property rights!$!20!$!36 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH1490;IDAH1490 | NaN | NaN | NaN | NaN | NaN | 0001512569!$!Tashkent!$!41.264648!$!69.21627!$... | 0001512569;0001526384 | Tashkent;Almaty | 41.264648;43.256538 | 69.21627;76.928482 | 7C;7C | Central Asia | |
| 6925 | P075952 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | SVP: Socio-economic Development and Benefit S... | 2005-02-03T00:00:00Z | February | 2009-06-30T00:00:00Z | 4,220,000 | 0 | 0 | 0 | 4,220,000 | ILE ASI | ILE ASI | http://projects.worldbank.org/P075952/svp-soci... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Other Agriculture; Fishing and Forestry!$!20!$!AZ | Other Energy and Extractives!$!20!$!LZ | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Natural disaster management!$!20!$!52 | Water resource management!$!40!$!85 | Regional integration!$!20!$!47 | Conflict prevention and post-conflict reconstr... | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 6933 | P069785 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | NBI (Nile Basin Initiative) Facilitation | 2005-01-25T00:00:00Z | January | 2005-06-30T00:00:00Z | 200,000 | 0 | 0 | 0 | 200,000 | ILE ASI | I SECET | http://projects.worldbank.org/P069785/nbi-nile... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!100!$!85 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 6940 | P093809 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Statistical Capacity Building for Poverty Redu... | 2005-01-05T00:00:00Z | January | 2006-12-31T00:00:00Z | 390,000 | 0 | 0 | 0 | 390,000 | AICA UL | SAC | http://projects.worldbank.org/P093809/statisti... | NaN | NaN | Other Public Administration!$!100!$!BZ | NaN | NaN | NaN | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Poverty strategy; analysis and monitoring!$!10... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 6943 | P076899 | Africa | Southern Africa;Southern Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Statistical Capacity Building for Poverty Redu... | 2004-12-31T00:00:00Z | December | 2004-12-31T00:00:00Z | 390,000 | 0 | 0 | 0 | 390,000 | SUTHE A | SUTHE A | http://projects.worldbank.org/P076899/statisti... | NaN | NaN | Central Government (Central Agencies)!$!100!$!BC | NaN | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Poverty strategy; analysis and monitoring!$!10... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Southern Africa | |
| 6959 | P092473 | Africa | Africa;Africa | PE | Emergency Recovery Loan | IN | B | N | L | Closed | Closed | Africa Emergency Locust Project | 2004-12-16T00:00:00Z | December | 2011-05-31T00:00:00Z | 72,870,000 | 0 | 59,500,000 | 59,500,000 | 0 | SEA | SEA | http://projects.worldbank.org/P092473/africa-e... | NaN | NaN | Crops!$!50!$!AH | Central Government (Central Agencies)!$!30!$!BC | Agricultural Extension; Research; and Other Su... | Social Protection!$!10!$!SA | NaN | Crops;Crops;Central Government (Central Agenci... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Social Safety Nets/Social Assistance & Social ... | Natural disaster management!$!33!$!52 | Regional integration!$!16!$!47 | Pollution management and environmental health!... | Other rural development!$!17!$!79 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA40190;IDA40190;IDA40200;IDA40220;IDA40230;I... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 6962 | P075219 | Latin America and Caribbean | Central America;Central America | GE | Specific Investment Loan | IN | B | N | L | Closed | Closed | Integrated Ecosystem Management in Indigenous ... | 2004-12-16T00:00:00Z | December | 2010-07-01T00:00:00Z | 11,500,000 | 0 | 0 | 0 | 4,000,000 | CE A I | CE A I | http://projects.worldbank.org/P075219/integrat... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!40!$!AZ | Social Protection!$!40!$!SA | Agricultural markets; commercialization and ag... | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Land administration and management!$!13!$!83 | Participation and civic engagement!$!13!$!57 | Indigenous peoples!$!25!$!60 | Biodiversity!$!25!$!80 | Rural non-farm income generation!$!24!$!76 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central America | |
| 7004 | P082502 | Africa | Africa;Africa | GU | NaN | NaN | A | N | L | Closed | Closed | 3A-West African Gas Pipeline (IDA S/UP) | 2004-11-23T00:00:00Z | November | NaN | 590,000,000 | 0 | 50,000,000 | 50,000,000 | 0 | HAA UA | EST AIC | http://projects.worldbank.org/P082502/3a-west-... | NaN | NaN | Oil and Gas!$!100!$!LC | NaN | NaN | NaN | NaN | Oil and Gas;Oil and Gas | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Infrastructure services for private sector dev... | Pollution management and environmental health!... | Regional integration!$!34!$!47 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAB0060;IDAB0060 | NaN | NaN | NaN | NaN | NaN | 0002363255!$!Gulf of Guinea!$!2!$!2.5!$!3A | 0002363255 | Gulf of Guinea | 2 | 2.5 | 3A | Africa | |
| 7029 | P075946 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | SVP: Water Resources Planning & Management | 2004-10-15T00:00:00Z | October | 2009-04-30T00:00:00Z | 12,810,000 | 0 | 0 | 0 | 12,810,000 | ILE ASI | ILE ASI | http://projects.worldbank.org/P075946/svp-wate... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!50!$!85 | Other environment and natural resources manage... | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7033 | P085782 | Africa | Africa;Africa | GM | Specific Investment Loan | IN | C | Y | L | Closed | Closed | Lake Victoria Transboundary Proj. (GEF) | 2004-10-14T00:00:00Z | October | 2006-12-31T00:00:00Z | 1,000,000 | 0 | 0 | 0 | 1,000,000 | EAC | EAC | http://projects.worldbank.org/P085782/lake-vic... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!100!$!85 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7047 | P080406 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | C | N | L | Closed | Closed | African Regional Capacity Building Network for... | 2004-09-22T00:00:00Z | September | 2010-04-30T00:00:00Z | 10,000,000 | 0 | 10,000,000 | 10,000,000 | 0 | UITE EP | ICE | http://projects.worldbank.org/P080406/african-... | NaN | NaN | Health!$!85!$!HG | Central Government (Central Agencies)!$!15!$!BC | NaN | NaN | NaN | Health;Health;Central Government (Central Agen... | NaN | NaN | NaN | NaN | NaN | Health;Health;Public Administration | HIV/AIDS!$!100!$!88 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Corporate Advoc... | IDAH1290;IDAH1290 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7085 | P088475 | Africa | Africa;Africa | GM | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Supporting Capacity Building for the Elaborati... | 2004-08-10T00:00:00Z | August | 2005-06-30T00:00:00Z | 1,800,000 | 0 | 0 | 0 | 900,000 | AICA | IA | http://projects.worldbank.org/P088475/supporti... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!50!$!AZ | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Land administration and management!$!100!$!83 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7126 | P090276 | Africa | Western Africa;Western Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | CAPAF Phase II | 2004-07-07T00:00:00Z | July | NaN | 2,600,000 | 0 | 0 | 0 | 2,600,000 | AIUS | CATHLIC | http://projects.worldbank.org/P090276/capaf-ph... | NaN | NaN | Micro- and SME finance!$!100!$!FE | NaN | NaN | NaN | NaN | Micro- and SME finance;Micro- and SME finance | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 7127 | P090386 | Europe and Central Asia | Central Asia;Central Asia | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Central Asian Microfinance Center | 2004-07-07T00:00:00Z | July | NaN | 670,000 | 0 | 0 | 0 | 670,000 | C | C | http://projects.worldbank.org/P090386/central-... | NaN | NaN | Micro- and SME finance!$!100!$!FE | NaN | NaN | NaN | NaN | Micro- and SME finance;Micro- and SME finance | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central Asia | |
| 7176 | P082613 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | B | N | L | Closed | Closed | Regional HIV/AIDS Treatment Acceleration Project | 2004-06-17T00:00:00Z | June | 2008-09-30T00:00:00Z | 59,800,000 | 0 | 59,800,000 | 59,800,000 | 0 | EIAL | NaN | http://projects.worldbank.org/P082613/regional... | NaN | NaN | Health!$!65!$!HG | Central Government (Central Agencies)!$!35!$!BC | NaN | NaN | NaN | Health;Health;Central Government (Central Agen... | NaN | NaN | NaN | NaN | NaN | Health;Health;Public Administration | HIV/AIDS!$!33!$!88 | Nutrition and food security!$!17!$!68 | Tuberculosis!$!17!$!93 | Population and reproductive health!$!17!$!69 | Income Support for Old Age; Disability & Survi... | NaN | Global Public Goods Priorities|Corporate Advoc... | IDAH1080;IDAH1080;IDAH1090;IDAH1040;IDAH1050;I... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7241 | P070256 | Africa | Africa;Africa | GE | Specific Investment Loan | IN | B | N | L | Closed | Closed | Reversing Land and Water Degradation Trends in... | 2004-05-20T00:00:00Z | May | 2011-02-28T00:00:00Z | 42,640,000 | 0 | 0 | 0 | 13,000,000 | IE ASI | TECHICAL | http://projects.worldbank.org/P070256/reversin... | NaN | NaN | Central Government (Central Agencies)!$!100!$!BC | NaN | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Environmental policies and institutions!$!13!$!82 | Regional integration!$!24!$!47 | Water resource management!$!25!$!85 | Land administration and management!$!25!$!83 | Biodiversity!$!13!$!80 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7242 | P073267 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | GE | Specific Investment Loan | IN | B | N | L | Closed | Closed | OECS Protected Areas and Associated Livelihood... | 2004-05-20T00:00:00Z | May | 2011-07-31T00:00:00Z | 7,570,000 | 0 | 0 | 0 | 3,700,000 | AIATI | AIATI | http://projects.worldbank.org/P073267/oecs-pro... | NaN | NaN | Central Government (Central Agencies)!$!55!$!BC | Other Agriculture; Fishing and Forestry!$!27!$!AZ | Social Protection!$!10!$!SA | Other Industry; Trade and Services!$!8!$!YZ | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Ag... | Regional integration!$!17!$!47 | Participation and civic engagement!$!17!$!57 | Rural non-farm income generation!$!17!$!76 | Environmental policies and institutions!$!16!$!82 | Biodiversity!$!33!$!80 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0003575164!$!Saint Thomas Middle Island!$!17.3... | 0003575164;0003575626;0003576016;0003576090;00... | Saint Thomas Middle Island;Saint John;Parish o... | 17.35;15.58333;17.1;17.08333;13.75;12.63381;12... | -62.799999;-61.450001;-61.76667;-61.783329;-60... | KN;DM;AG;6O;LC;VC;GD | Organization of Eastern Caribbean States | |
| 7266 | P075945 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | SVP: Regional Power Trade | 2004-05-05T00:00:00Z | May | 2009-06-30T00:00:00Z | 5,710,000 | 0 | 0 | 0 | 5,710,000 | ILE ASI | ILE ASI | http://projects.worldbank.org/P075945/svp-regi... | NaN | NaN | Power!$!100!$!LD | NaN | NaN | NaN | NaN | Power;Power | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Trade facilitation and market access!$!40!$!49 | Regional integration!$!40!$!47 | Infrastructure services for private sector dev... | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7318 | P075948 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | SVP: Confidence Building and Stakeholder Invol... | 2004-03-17T00:00:00Z | March | 2009-12-30T00:00:00Z | 10,360,000 | 0 | 0 | 0 | 10,360,000 | ILE ASI | ILE ASI | http://projects.worldbank.org/P075948/svp-conf... | NaN | NaN | Other Information and Communications Technolog... | NaN | NaN | NaN | NaN | Other Information and Communications Technolog... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | Natural disaster management!$!17!$!52 | Regional integration!$!17!$!47 | Water resource management!$!33!$!85 | Other environment and natural resources manage... | Conflict prevention and post-conflict reconstr... | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7339 | P089120 | Africa | Africa;Africa | GU | NaN | NaN | F | Y | L | Closed | Closed | GU- WAEMU CAPITAL MARKET DEVELOPMENT PROJECT | 2004-02-26T00:00:00Z | February | NaN | 70,000,000 | 0 | 70,000,000 | 70,000,000 | 0 | A | A | http://projects.worldbank.org/P089120/gu--waem... | NaN | NaN | Rural and Inter-Urban Roads!$!42!$!TI | NaN | NaN | NaN | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | Other financial and private sector development... | Regional integration!$!67!$!47 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7342 | P074525 | Africa | Africa;Africa | PE | Financial Intermediary Loan | IN | F | N | L | Closed | Closed | WAEMU CAPITAL MARKET DEVELOPMENT PROJECT | 2004-02-26T00:00:00Z | February | 2012-06-30T00:00:00Z | 408,690,000 | 0 | 96,390,000 | 96,390,000 | 0 | A | A | http://projects.worldbank.org/P074525/waemu-ca... | NaN | NaN | Capital Markets!$!58!$!FK | Rural and Inter-Urban Roads!$!42!$!TI | NaN | NaN | NaN | Capital Markets;Capital Markets;Rural and Inte... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector;Transportation | Regional integration!$!67!$!47 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA38630;IDA38630;IDAB0050 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7355 | P075949 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | SVP: Applied Training | 2004-02-12T00:00:00Z | February | 2009-12-31T00:00:00Z | 18,610,000 | 0 | 0 | 0 | 18,610,000 | ILE ASI | ILE ASI | http://projects.worldbank.org/P075949/svp-appl... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!100!$!85 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7367 | P083066 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | 3A-ECOWAS Spport for NEPAD Implemention (USAID... | 2004-01-28T00:00:00Z | January | 2007-03-31T00:00:00Z | 480,000 | 0 | 0 | 0 | 480,000 | ECAS C | ECAS C | http://projects.worldbank.org/P083066/3a-ecowa... | NaN | NaN | Other Transportation!$!100!$!TZ | NaN | NaN | NaN | NaN | Other Transportation;Other Transportation | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | Macroeconomic management!$!67!$!23 | Decentralization!$!33!$!26 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7427 | P086242 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | TRN MicroSave Africa III | 2003-11-19T00:00:00Z | November | NaN | 1,500,000 | 0 | 0 | 0 | 1,500,000 | EAATS | EAATS | http://projects.worldbank.org/P086242/trn-micr... | NaN | NaN | Micro- and SME finance!$!100!$!FE | NaN | NaN | NaN | NaN | Micro- and SME finance;Micro- and SME finance | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7432 | P074850 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | B | N | L | Closed | Closed | HIV/AIDS PROJECT FOR ABIDJAN - LAGOS TRANSPORT... | 2003-11-13T00:00:00Z | November | 2007-12-31T00:00:00Z | 17,900,000 | 0 | 16,600,000 | 16,600,000 | 0 | EET | EXECUTIE | http://projects.worldbank.org/P074850/hivaids-... | NaN | NaN | Health!$!41!$!HG | Social Protection!$!32!$!SA | Central Government (Central Agencies)!$!27!$!BC | NaN | NaN | Health;Health;Social Protection;Central Govern... | NaN | NaN | NaN | NaN | NaN | Health;Health;Social Protection;Public Adminis... | HIV/AIDS!$!33!$!88 | Regional integration!$!17!$!47 | Other communicable diseases!$!17!$!64 | Income Support for Old Age; Disability & Survi... | Trade facilitation and market access!$!16!$!49 | NaN | Global Public Goods Priorities|Corporate Advoc... | IDAH0660;IDAH0660 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7435 | P069258 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | A | N | L | Closed | Closed | AFCC2/RI-3A-Southern Afr Power Mrkt APL 1 (FY04) | 2003-11-11T00:00:00Z | November | 2016-09-30T00:00:00Z | 200,190,000 | 0 | 178,600,000 | 178,600,000 | 0 | ULTIPLE | ULTIPLE A | http://projects.worldbank.org/P069258/3a-south... | NaN | NaN | Energy Transmission and Distribution!$!100!$!LT | NaN | NaN | NaN | NaN | Energy Transmission and Distribution;Energy Tr... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Regulation and competition policy!$!28!$!40 | Infrastructure services for private sector dev... | Export development and competitiveness!$!14!$!45 | Regional integration!$!29!$!47 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDAH8010;IDAH8010;IDAH5000;IDA38310;IDA38320 | NaN | NaN | NaN | NaN | NaN | 0000205703!$!Province du Katanga!$!-9!$!26!$!Z... | 0000205703;0000909868;0000909874;0000914467;00... | Province du Katanga;Luano Valley;Luano;Kamenza... | -9;-14.83333;-14.11481;-12.36667;-13;-14;-11.0... | 26;29.58333;30.14171;27.83333;28;29;26.72578;2... | ZR;ZM;ZM;ZM;ZM;ZM;ZR;ZR;ZR;ZR;ZR;ZR;ZR;ZR | Africa | |
| 7444 | P064573 | Africa | Africa;Africa | GE | Specific Investment Loan | IN | B | N | L | Closed | Closed | Senegal River Basin Water and Environmental Ma... | 2003-10-28T00:00:00Z | October | 2008-07-31T00:00:00Z | 21,200,000 | 0 | 0 | 0 | 5,260,000 | S | AISATI | http://projects.worldbank.org/P064573/senegal-... | NaN | NaN | Central Government (Central Agencies)!$!75!$!BC | Other Agriculture; Fishing and Forestry!$!15!$!AZ | Other Water Supply; Sanitation and Waste Manag... | Tertiary Education!$!2!$!ET | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Ag... | Participation and civic engagement!$!11!$!57 | Water resource management!$!23!$!85 | Regional integration!$!22!$!47 | Land administration and management!$!22!$!83 | Environmental policies and institutions!$!22!$!82 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7655 | P074628 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | NBI-ISP NELSAP-CU Institutional Strengthening ... | 2003-04-22T00:00:00Z | April | 2010-06-30T00:00:00Z | 3,990,000 | 0 | 0 | 0 | 3,990,000 | I | IELSAP | http://projects.worldbank.org/P074628/nbi-isp-... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!25!$!AZ | Ports/Waterways!$!25!$!TP | Renewable energy!$!25!$!LE | Other Public Administration!$!25!$!BZ | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Water resource management!$!40!$!85 | Regional integration!$!40!$!47 | Other environment and natural resources manage... | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7656 | P076499 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | SVP (Shared Vision Program) Facilitation | 2003-04-22T00:00:00Z | April | 2008-12-31T00:00:00Z | 11,600,000 | 0 | 0 | 0 | 11,600,000 | I | I SECET | http://projects.worldbank.org/P076499/svp-shar... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!50!$!85 | Other environment and natural resources manage... | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7664 | P070073 | Africa | Africa;Africa | GE | Specific Investment Loan | IN | C | N | L | Closed | Closed | Nile Transboundary Environmental Action Project | 2003-04-08T00:00:00Z | April | 2009-12-31T00:00:00Z | 43,600,000 | 0 | 0 | 0 | 8,000,000 | ILE ASI | ILE ASI | http://projects.worldbank.org/P070073/nile-tra... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Pollution management and environmental health!... | Water resource management!$!25!$!85 | Environmental policies and institutions!$!25!$!82 | Biodiversity!$!25!$!80 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7718 | P082825 | Africa | Africa;Africa | RE | Specific Investment Loan | IN | C | Y | L | Closed | Closed | 3A-EAC Power Master Plan | 2003-01-29T00:00:00Z | January | 2006-02-28T00:00:00Z | NaN | 0 | 0 | 0 | 9,000,000 | EAST AIC | EAST AIC | http://projects.worldbank.org/P082825/3a-eac-p... | NaN | NaN | Power!$!70!$!LD | Other Energy and Extractives!$!30!$!LZ | NaN | NaN | NaN | Power;Power;Other Energy and Extractives | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Export development and competitiveness!$!33!$!45 | Regional integration!$!67!$!47 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Corporate Advoc... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7724 | P070252 | Africa | Africa;Africa | GE | Technical Assistance Loan | IN | B | N | L | Closed | Closed | Reversal of Land and Water Degradation Trends ... | 2003-01-21T00:00:00Z | January | 2008-12-20T00:00:00Z | 18,930,000 | 0 | 0 | 0 | 2,900,000 | LAE CHA | PECT A | http://projects.worldbank.org/P070252/reversal... | NaN | NaN | Central Government (Central Agencies)!$!50!$!BC | Irrigation and Drainage!$!25!$!AI | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Ag... | Land administration and management!$!50!$!83 | Water resource management!$!50!$!85 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7781 | P077249 | Africa | Africa;Africa | GM | UNIDENTIFIED | XX | C | N | L | Closed | Closed | Regional (MG;NE;ET) Institututional Strengthen... | 2002-10-10T00:00:00Z | October | 2008-02-28T00:00:00Z | 1,300,000 | 0 | 0 | 0 | 1,300,000 | IE A | IISTIES | http://projects.worldbank.org/P077249/regional... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!100!... | NaN | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Other environment and natural resources manage... | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7783 | P082566 | Africa | Eastern Africa;Eastern Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | FSD CIDR East Africa Initiative | 2002-10-01T00:00:00Z | October | NaN | 970,000 | 0 | 0 | 0 | 970,000 | CI | CI | http://projects.worldbank.org/P082566/fsd-cidr... | NaN | NaN | Micro- and SME finance!$!100!$!FE | NaN | NaN | NaN | NaN | Micro- and SME finance;Micro- and SME finance | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Eastern Africa | |
| 7808 | P077371 | Africa | Africa;Africa | GM | UNIDENTIFIED | XX | C | N | L | Closed | Closed | Climate; Water and Agriculture: Impacts on and... | 2002-08-12T00:00:00Z | August | 2005-12-31T00:00:00Z | 1,320,000 | 0 | 0 | 0 | 700,000 | NaN | NaN | http://projects.worldbank.org/P077371/climate-... | NaN | NaN | Forestry!$!30!$!AT | Agricultural Extension; Research; and Other Su... | Law and Justice!$!25!$!BG | Crops!$!15!$!AH | NaN | Forestry;Forestry;Agricultural Extension; Rese... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural services and infrastructure!$!100!$!78 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7823 | P072881 | Africa | Africa;Africa | PE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | BEAC Regional Payment System Project | 2002-07-30T00:00:00Z | July | 2009-06-30T00:00:00Z | 22,600,000 | 0 | 14,500,000 | 14,500,000 | 0 | EAC | EAC | http://projects.worldbank.org/P072881/beac-reg... | NaN | NaN | Banking Institutions!$!40!$!FA | Other Non-bank Financial Institutions!$!26!$!FL | Services!$!26!$!YS | ICT Infrastructure!$!6!$!CI | Law and Justice!$!2!$!BG | Banking Institutions;Banking Institutions;Othe... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector;Financial Se... | Technology diffusion!$!13!$!48 | Regional integration!$!24!$!47 | Other financial and private sector development... | Infrastructure services for private sector dev... | Legal institutions for a market economy!$!13!$!34 | NaN | Millennium Development Goals|Global Public Goo... | IDA37040;IDA37040 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 7954 | P078454 | Other | Asia;Asia | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | CGAP - SEWA Insurance | 2002-05-01T00:00:00Z | May | NaN | 720,000 | 0 | 0 | 0 | 720,000 | SEA | SEA | http://projects.worldbank.org/P078454/cgap-sew... | NaN | NaN | Insurance and Pension!$!70!$!FD | Micro- and SME finance!$!30!$!FE | NaN | NaN | NaN | Insurance and Pension;Insurance and Pension;Mi... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector;Financial Se... | Micro; Small and Medium Enterprise support!$!3... | Other financial and private sector development... | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Asia | |
| 8075 | P073939 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | CAPAF (Capacity Building; Francophone Africa) | 2001-11-30T00:00:00Z | November | NaN | 2,400,000 | 0 | 0 | 0 | 2,400,000 | AICA | ES THE | http://projects.worldbank.org/P073939/capaf-ca... | NaN | NaN | Micro- and SME finance!$!100!$!FE | NaN | NaN | NaN | NaN | Micro- and SME finance;Micro- and SME finance | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 8109 | P076209 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | AFR Regional Forest Program - Link to TF | 2001-09-14T00:00:00Z | September | 2004-05-30T00:00:00Z | 160,000 | 0 | 0 | 0 | 160,000 | C ASI | NaN | http://projects.worldbank.org/P076209/afr-regi... | NaN | NaN | Forestry!$!100!$!AT | NaN | NaN | NaN | NaN | Forestry;Forestry | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Regulation and competition policy!$!14!$!40 | Other rural development!$!14!$!79 | Rural policies and institutions!$!29!$!77 | Environmental policies and institutions!$!29!$!82 | Land administration and management!$!14!$!83 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 8114 | P076827 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | DID Internal Control and External Audits of Cr... | 2001-09-12T00:00:00Z | September | NaN | 180,000 | 0 | 0 | 0 | 180,000 | I | I | http://projects.worldbank.org/P076827/internal... | NaN | NaN | Micro- and SME finance!$!100!$!FE | NaN | NaN | NaN | NaN | Micro- and SME finance;Micro- and SME finance | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 8180 | P087666 | Africa | Africa;Africa | RE | Learning and Innovation Loan | IN | A | N | L | Closed | Closed | Africa Virtual University | 2001-06-26T00:00:00Z | June | 2005-06-30T00:00:00Z | 2,480,000 | 0 | 0 | 0 | 0 | AICA E | I | http://projects.worldbank.org/P087666/africa-v... | NaN | NaN | Tertiary Education!$!100!$!ET | NaN | NaN | NaN | NaN | Tertiary Education;Tertiary Education | NaN | NaN | NaN | NaN | NaN | Education;Education | Education for the knowledge economy!$!100!$!66 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities|Global Public Go... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 8190 | P052301 | Africa | Africa;Africa | RE | Learning and Innovation Loan | IN | A | N | L | Closed | Closed | African Virtual University | 2001-06-26T00:00:00Z | June | 2005-10-31T00:00:00Z | 14,100,000 | 0 | 0 | 0 | 0 | AICA E | I | http://projects.worldbank.org/P052301/african-... | NaN | NaN | Tertiary Education!$!50!$!ET | Other Education!$!50!$!EZ | NaN | NaN | NaN | Tertiary Education;Tertiary Education;Other Ed... | NaN | NaN | NaN | NaN | NaN | Education;Education;Education | Education for all!$!100!$!65 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities|Millennium Devel... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 8254 | P074815 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Performance Evaluation of African MFIs by ADA | 2001-06-01T00:00:00Z | June | NaN | 70,000 | 0 | 0 | 0 | 70,000 | AICA | AA | http://projects.worldbank.org/P074815/performa... | NaN | NaN | Micro- and SME finance!$!100!$!FE | NaN | NaN | NaN | NaN | Micro- and SME finance;Micro- and SME finance | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 8268 | P053349 | Latin America and Caribbean | Central America;Central America | GE | Specific Investment Loan | IN | B | N | L | Closed | Closed | Mesoamerican Barrier Reef System (GEF) | 2001-05-22T00:00:00Z | May | 2007-06-30T00:00:00Z | 24,200,000 | 0 | 0 | 0 | 11,030,000 | EXIC H | CETAL A | http://projects.worldbank.org/P053349/mesoamer... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!50!$!AZ | Central Government (Central Agencies)!$!21!$!BC | Other Education!$!13!$!EZ | Other Industry; Trade and Services!$!8!$!YZ | Fisheries!$!4!$!AF | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Export development and competitiveness!$!25!$!45 | Water resource management!$!25!$!85 | Environmental policies and institutions!$!25!$!82 | Biodiversity!$!25!$!80 | NaN | NaN | Global Public Goods Priorities|Corporate Advoc... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central America | |
| 8294 | P063683 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | F | N | L | Closed | Closed | Regional Trade Facilitation Project I | 2001-04-03T00:00:00Z | April | 2011-06-30T00:00:00Z | 6,150,000 | 0 | 5,000,000 | 5,000,000 | 0 | AICA T | AICA T | http://projects.worldbank.org/P063683/regional... | NaN | NaN | Insurance and Pension!$!100!$!FD | NaN | NaN | NaN | NaN | Insurance and Pension;Insurance and Pension | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Trade facilitation and market access!$!33!$!49 | International financial architecture!$!17!$!46 | Export development and competitiveness!$!17!$!45 | Regional integration!$!33!$!47 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA34880;IDA34880;IDA34881 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 8363 | P073861 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Accion International II (Africa) | 2001-01-19T00:00:00Z | January | NaN | 500,000 | 0 | 0 | 0 | 500,000 | ACCI IT | ACCI IT | http://projects.worldbank.org/P073861/accion-i... | NaN | NaN | Micro- and SME finance!$!100!$!FE | NaN | NaN | NaN | NaN | Micro- and SME finance;Micro- and SME finance | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 8372 | P063917 | Africa | Africa;Africa | GM | UNIDENTIFIED | XX | C | N | L | Closed | Closed | Indian Ocean Coral reef Monitoring project | 2001-01-09T00:00:00Z | January | 2005-07-31T00:00:00Z | 1,000,000 | 0 | 0 | 0 | 1,000,000 | IIA CE | IIA CE | http://projects.worldbank.org/P063917/indian-o... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!100!... | NaN | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Biodiversity!$!100!$!80 | NaN | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 8445 | P054884 | Africa | Africa;Africa | PE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | BCEAO REGIONAL PAYMENT SYSTEMS PROJECT | 2000-10-19T00:00:00Z | October | 2005-07-31T00:00:00Z | 19,260,000 | 0 | 9,400,000 | 9,400,000 | 0 | CEA | NaN | http://projects.worldbank.org/P054884/bceao-re... | NaN | NaN | Other Non-bank Financial Institutions!$!28!$!FL | Services!$!29!$!YS | Banking Institutions!$!22!$!FA | ICT Infrastructure!$!21!$!CI | NaN | Other Non-bank Financial Institutions;Other No... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector;Industry; Tr... | Regional integration!$!17!$!47 | International financial standards and systems!... | Legal institutions for a market economy!$!17!$!34 | Other financial and private sector development... | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | IDA34240;IDA34240 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 8453 | P072596 | Africa | Africa;Africa | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | CGAP - MicroSave Africa II | 2000-09-28T00:00:00Z | September | NaN | 1,410,000 | 0 | 0 | 0 | 1,410,000 | ICSAE | ICSAE | http://projects.worldbank.org/P072596/cgap-mic... | NaN | NaN | Micro- and SME finance!$!100!$!FE | NaN | NaN | NaN | NaN | Micro- and SME finance;Micro- and SME finance | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Micro; Small and Medium Enterprise support!$!1... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 8674 | P045864 | East Asia and Pacific | Mekong;Mekong | GE | Specific Investment Loan | IN | C | N | L | Closed | Closed | Mekong River Water Utilization Project | 2000-02-03T00:00:00Z | February | 2008-06-30T00:00:00Z | 16,300,000 | 0 | 0 | 0 | 11,000,000 | E I | E I | http://projects.worldbank.org/P045864/mekong-r... | NaN | NaN | Central Government (Central Agencies)!$!90!$!BC | Law and Justice!$!10!$!BG | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Pu... | Other rule of law!$!33!$!37 | Water resource management!$!34!$!85 | Biodiversity!$!33!$!80 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Mekong | |
| 8802 | P042573 | Europe and Central Asia | Central Asia;Central Asia | GE | Specific Investment Loan | IN | C | N | L | Closed | Closed | Central Asia Biodiversity GEF Project | 1999-06-22T00:00:00Z | June | 2006-06-30T00:00:00Z | 13,600,000 | 0 | 0 | 0 | 10,150,000 | T | IIST | http://projects.worldbank.org/P042573/central-... | NaN | NaN | Forestry!$!47!$!AT | Central Government (Central Agencies)!$!22!$!BC | Other Education!$!12!$!EZ | Other Industry; Trade and Services!$!10!$!YZ | Social Protection!$!9!$!SA | Forestry;Forestry;Central Government (Central ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Law reform!$!11!$!33 | Biodiversity!$!23!$!80 | Rural non-farm income generation!$!22!$!76 | Participation and civic engagement!$!22!$!57 | Environmental policies and institutions!$!22!$!82 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central Asia | |
| 8973 | P063717 | Middle East and North Africa | Red Sea and Gulf of Aden;Red Sea and Gulf of Aden | GE | Specific Investment Loan | IN | C | N | L | Closed | Closed | Regional Project for the Implmentation of the ... | 1999-02-23T00:00:00Z | February | 2005-06-30T00:00:00Z | 5,610,000 | 0 | 0 | 0 | 5,610,000 | IUTIE | PESAE | http://projects.worldbank.org/P063717/regional... | NaN | NaN | Central Government (Central Agencies)!$!61!$!BC | Ports/Waterways!$!39!$!TP | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Tr... | Pollution management and environmental health!... | Participation and civic engagement!$!13!$!57 | Water resource management!$!25!$!85 | Environmental policies and institutions!$!24!$!82 | Biodiversity!$!13!$!80 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Red Sea and Gulf of Aden | |
| 9016 | P036037 | Africa | Africa;Africa | GE | Specific Investment Loan | IN | C | N | L | Closed | Closed | Oil Spill Response Project | 1998-12-17T00:00:00Z | December | 2004-06-30T00:00:00Z | 3,550,000 | 0 | 0 | 0 | 3,150,000 | CSA | IIA CE | http://projects.worldbank.org/P036037/oil-spil... | NaN | NaN | Central Government (Central Agencies)!$!86!$!BC | Law and Justice!$!14!$!BG | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Pu... | Regional integration!$!20!$!47 | Environmental policies and institutions!$!20!$!82 | Pollution management and environmental health!... | Law reform!$!20!$!33 | Water resource management!$!20!$!85 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 9171 | P008326 | Europe and Central Asia | Aral Sea;Aral Sea | GE | Specific Investment Loan | IN | C | N | L | Closed | Closed | Aral Sea Water & Environmental Management GEF ... | 1998-06-11T00:00:00Z | June | 2003-06-30T00:00:00Z | 21,200,000 | 0 | 0 | 0 | 12,200,000 | ECIAS | ECIAS | http://projects.worldbank.org/P008326/aral-sea... | NaN | NaN | Central Government (Central Agencies)!$!56!$!BC | Social Protection!$!23!$!SA | Other Agriculture; Fishing and Forestry!$!17!$!AZ | Irrigation and Drainage!$!4!$!AI | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;So... | Water resource management!$!23!$!85 | Biodiversity!$!11!$!80 | Participation and civic engagement!$!22!$!57 | Conflict prevention and post-conflict reconstr... | Environmental policies and institutions!$!22!$!82 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Aral Sea | |
| 9174 | P042042 | Europe and Central Asia | Western Balkans;Western Balkans | GE | Specific Investment Loan | IN | B | N | L | Closed | Closed | Lake Ohrid Conservation GEF Project (Albania/F... | 1998-06-11T00:00:00Z | June | 2004-12-31T00:00:00Z | 4,400,000 | 0 | 0 | 0 | 4,100,000 | TS A | IISTIES | http://projects.worldbank.org/P042042/lake-ohr... | NaN | NaN | Central Government (Central Agencies)!$!65!$!BC | Social Protection!$!32!$!SA | Other Education!$!3!$!EZ | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;So... | Biodiversity!$!20!$!80 | Participation and civic engagement!$!20!$!57 | Environmental policies and institutions!$!20!$!82 | Pollution management and environmental health!... | Water resource management!$!20!$!85 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Balkans | |
| 9184 | P035730 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | PE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | OECS: Telecommunication Reform | 1998-06-04T00:00:00Z | June | 2004-12-31T00:00:00Z | 10,000,000 | 3,600,000 | 2,400,000 | 6,000,000 | 0 | EET | ECS SECE | http://projects.worldbank.org/P035730/oecs-tel... | NaN | NaN | Central Government (Central Agencies)!$!90!$!BC | Workforce Development and Vocational Education... | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Ed... | Infrastructure services for private sector dev... | Education for the knowledge economy!$!20!$!66 | Regulation and competition policy!$!40!$!40 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IBRD43360;IBRD43360;IDA30860;IDA30870;IDA30880... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Organization of Eastern Caribbean States | |
| 9326 | P000003 | Africa | Africa;Africa | GE | Specific Investment Loan | IN | C | N | L | Closed | Closed | REIMP(CEN.ENV.INFO) | 1997-12-18T00:00:00Z | December | 2003-06-30T00:00:00Z | 19,700,000 | 0 | 0 | 0 | 4,100,000 | ASSC PU | ASSC PU | http://projects.worldbank.org/P000003/reimpcen... | NaN | NaN | Other Public Administration!$!70!$!BZ | Other Information and Communications Technolog... | Social Protection!$!10!$!SA | NaN | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;In... | Environmental policies and institutions!$!33!$!82 | Land administration and management!$!33!$!83 | Biodiversity!$!34!$!80 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 9674 | P058281 | Europe and Central Asia | Aral Sea;Aral Sea | RE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Aral Sea Basin Program Technical Assistance & ... | 1996-10-28T00:00:00Z | October | 2000-06-30T00:00:00Z | 100,000 | 0 | 0 | 0 | 100,000 | EXECUTIE | EXECUTIE | http://projects.worldbank.org/P058281/aral-sea... | NaN | NaN | Other Public Administration!$!25!$!BZ | Other Agriculture; Fishing and Forestry!$!25!$!AZ | Other Industry; Trade and Services!$!25!$!YZ | Other Energy and Extractives!$!25!$!LZ | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;Ag... | Other public sector governance!$!33!$!30 | Other economic management!$!34!$!24 | Other financial and private sector development... | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Aral Sea | |
| 10006 | P000001 | Africa | Africa;Africa | GE | Specific Investment Loan | IN | B | N | L | Closed | Closed | West Africa Pilot Community-based Natural Reso... | 1995-09-14T00:00:00Z | September | 2004-06-30T00:00:00Z | 7,000,000 | 0 | 0 | 0 | 4,400,000 | T U | T | http://projects.worldbank.org/P000001/west-afr... | NaN | NaN | Sub-National Government!$!26!$!BH | Social Protection!$!26!$!SA | Other Agriculture; Fishing and Forestry!$!22!$!AZ | Roads and highways!$!22!$!TA | Other Water Supply; Sanitation and Waste Manag... | Sub-National Government;Sub-National Governmen... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;So... | Land administration and management!$!13!$!83 | Participation and civic engagement!$!24!$!57 | Environmental policies and institutions!$!25!$!82 | Biodiversity!$!25!$!80 | Rural services and infrastructure!$!13!$!78 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 10132 | P006957 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | GE | Specific Investment Loan | IN | A | Y | L | Closed | Closed | GEF 6O-OECS SHIP WASTE MGMT | 1995-05-04T00:00:00Z | May | 2003-06-30T00:00:00Z | 12,500,000 | 0 | 0 | 0 | 12,500,000 | ECS EE | ECS EE | http://projects.worldbank.org/P006957/gef-6o-o... | NaN | NaN | Waste Management!$!54!$!WB | Central Government (Central Agencies)!$!44!$!BC | Social Protection!$!2!$!SA | NaN | NaN | Waste Management;Waste Management;Central Gove... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!22!$!85 | Biodiversity!$!11!$!80 | Environmental policies and institutions!$!22!$!82 | Pollution management and environmental health!... | Administrative and civil service reform!$!22!$!25 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Organization of Eastern Caribbean States | |
| 10133 | P006970 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | PE | Sector Investment and Maintenance Loan | IN | A | N | L | Closed | Closed | OECS Ship-Generated Waste Management Project | 1995-05-04T00:00:00Z | May | 2003-06-30T00:00:00Z | 50,500,000 | 6,800,000 | 4,700,000 | 11,500,000 | 0 | ECS EE | ECS | http://projects.worldbank.org/P006970/oecs-shi... | NaN | NaN | Waste Management!$!87!$!WB | Central Government (Central Agencies)!$!13!$!BC | NaN | NaN | NaN | Waste Management;Waste Management;Central Gove... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Water resource management!$!22!$!85 | Environmental policies and institutions!$!22!$!82 | Pollution management and environmental health!... | Regional integration!$!11!$!47 | Administrative and civil service reform!$!22!$!25 | NaN | Global Public Goods Priorities|Millennium Deve... | IBRD38790;IBRD38790;IBRD38820;IBRD38810;IBRD38... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Organization of Eastern Caribbean States | |
| 10273 | P002669 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Specific Investment Loan | IN | B | N | L | Closed | Closed | Swaziland Urban Development Project | 1994-11-15T00:00:00Z | November | 2005-03-31T00:00:00Z | 51,500,000 | 29,000,000 | 0 | 29,000,000 | 0 | T | I HU | http://projects.worldbank.org/P002669/swazilan... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Roads and highways!$!14!$!TA | Central Government (Central Agencies)!$!11!$!BC | Sub-National Government!$!4!$!BH | Power!$!1!$!LD | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Participation and civic engagement!$!13!$!57 | Land administration and management!$!24!$!83 | Urban services and housing for the poor!$!25!$!71 | Municipal governance and institution building!... | Other urban development!$!25!$!74 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IBRD38070;IBRD38070;IBRD3807S;IBRD3807A | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 10968 | P000017 | Africa | Africa;Africa | PE | Technical Assistance Loan | IN | C | N | L | Closed | Closed | Engineering and Technical Assistance Project | 1992-05-19T00:00:00Z | May | 1999-12-31T00:00:00Z | 6,100,000 | 0 | 5,500,000 | 5,500,000 | 0 | CCT | CE | http://projects.worldbank.org/P000017/engineer... | NaN | NaN | Power!$!100!$!LD | NaN | NaN | NaN | NaN | Power;Power | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Infrastructure services for private sector dev... | Legal institutions for a market economy!$!17!$!34 | Pollution management and environmental health!... | Regional integration!$!33!$!47 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | IDA23670;IDA23670;IDA23660 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 11166 | P009285 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | A | N | L | Closed | Closed | Kolubara B Thermal Power & Lignite Mine Project | 1991-06-25T00:00:00Z | June | 1997-06-30T00:00:00Z | 300,000,000 | 300,000,000 | 0 | 300,000,000 | 0 | EPS ROA (ZEP) | EPS | http://projects.worldbank.org/P009285/kolubara... | NaN | NaN | Power!$!44!$!LD | Renewable Energy Biomass!$!56!$!LB | NaN | NaN | NaN | Power;Power;Renewable Energy Biomass | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Rural services and infrastructure!$!33!$!78 | Infrastructure services for private sector dev... | Urban services and housing for the poor!$!33!$!71 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 11410 | P009231 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | B | N | L | Closed | Closed | Highway Sector Loan Project (03) | 1990-06-20T00:00:00Z | June | 1994-12-31T00:00:00Z | 292,000,000 | 292,000,000 | 0 | 292,000,000 | 0 | ALL SIX ROAD ORGANIZATIONS | FARP | http://projects.worldbank.org/P009231/highway-... | NaN | NaN | Roads and highways!$!100!$!TA | NaN | NaN | NaN | NaN | Roads and highways;Roads and highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | Export development and competitiveness!$!25!$!45 | Pollution management and environmental health!... | Infrastructure services for private sector dev... | NaN | NaN | NaN | Global Public Goods Priorities|Corporate Advoc... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 11479 | P009219 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Structural Adjustment Loan | AD | C | N | L | Closed | Closed | Structural Adjustment Loan Project (02) | 1990-04-12T00:00:00Z | April | 1991-09-30T00:00:00Z | 400,000,000 | 400,000,000 | 0 | 400,000,000 | 0 | NBY | NBY | http://projects.worldbank.org/P009219/structur... | NaN | NaN | Other Industry; Trade and Services!$!38!$!YZ | Banking Institutions!$!36!$!FA | Central Government (Central Agencies)!$!12!$!BC | Other industry!$!7!$!YW | Other social services!$!7!$!JB | Other Industry; Trade and Services;Other Indus... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | Macroeconomic management!$!33!$!23 | International financial standards and systems!... | Other public sector governance!$!17!$!30 | Trade facilitation and market access!$!16!$!49 | Other economic management!$!17!$!24 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 11533 | P000010 | Africa | Africa;Africa | PE | Financial Intermediary Loan | IN | B | N | L | Closed | Closed | Regional Development Project (03) | 1990-02-01T00:00:00Z | February | 1997-12-31T00:00:00Z | 55,000,000 | 15,000,000 | 40,000,000 | 55,000,000 | 0 | BOAD | NaN | http://projects.worldbank.org/P000010/regional... | NaN | NaN | Banking Institutions!$!2!$!FA | Other Agriculture; Fishing and Forestry!$!25!$!AZ | Other Transportation!$!25!$!TZ | Telecommunications!$!24!$!CT | Other Energy and Extractives!$!24!$!LZ | Banking Institutions;Banking Institutions;Othe... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector;Agriculture;... | Other financial and private sector development... | Regional integration!$!40!$!47 | Environmental policies and institutions!$!20!$!82 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 11694 | P009225 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | C | N | L | Closed | Closed | Railway Project (07) | 1989-05-23T00:00:00Z | May | 1992-12-31T00:00:00Z | 138,000,000 | 138,000,000 | 0 | 138,000,000 | 0 | RTO BELGRADE; RE LJUBLJANA; RTO NOVI SAD | BORROWER | http://projects.worldbank.org/P009225/railway-... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 11695 | P009275 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Istria Water Supply & Sewerage Project | 1989-05-23T00:00:00Z | May | 1997-12-31T00:00:00Z | 60,000,000 | 60,000,000 | 0 | 60,000,000 | 0 | RIZANA WW; ISTRIAN WW & PULA WW | BUTONIGA WW AND RIZANA WW | http://projects.worldbank.org/P009275/istria-w... | NaN | NaN | (Historic)Urban water supply!$!100!$!WU | NaN | NaN | NaN | NaN | (Historic)Urban water supply;(Historic)Urban w... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 11866 | P009242 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | C | N | L | Closed | Closed | Export Oriented Industries Project | 1988-06-29T00:00:00Z | June | 1994-06-30T00:00:00Z | 120,000,000 | 120,000,000 | 0 | 120,000,000 | 0 | LOCAL COMMERCIAL BANKS | BORROWERS | http://projects.worldbank.org/P009242/export-o... | NaN | NaN | (Historic)Other finance!$!100!$!FY | NaN | NaN | NaN | NaN | (Historic)Other finance;(Historic)Other finance | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 12060 | P009265 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | C | N | L | Closed | Closed | Highway Sector Project (02) | 1987-10-13T00:00:00Z | October | 1992-12-31T00:00:00Z | 68,000,000 | 68,000,000 | 0 | 68,000,000 | 0 | ROAD ORG. OF KOS;MAC;MON;VODJ;CRO . | ABOVE ORGANIZATION | http://projects.worldbank.org/P009265/highway-... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 12225 | P009217 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | C | N | L | Closed | Closed | Energy Conservation & Substitution Project | 1987-03-31T00:00:00Z | March | 1994-06-30T00:00:00Z | 90,000,000 | 90,000,000 | 0 | 90,000,000 | 0 | LJUBLJANSKA BANKA LJUBLJANA (LBL) | BORROWERS | http://projects.worldbank.org/P009217/energy-c... | NaN | NaN | (Historic)Other finance!$!100!$!FY | NaN | NaN | NaN | NaN | (Historic)Other finance;(Historic)Other finance | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 12227 | P038996 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | C | Y | L | Closed | Closed | IND.ENERGY EFFIC. I | 1987-03-31T00:00:00Z | March | NaN | 0 | 0 | 0 | 0 | 0 | LJUBLJANSKA BANKA LJUBLJANA (LBL) | BORROWERS | http://projects.worldbank.org/P038996/indenerg... | NaN | NaN | (Historic)Other finance!$!100!$!FY | NaN | NaN | NaN | NaN | (Historic)Other finance;(Historic)Other finance | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 12375 | P009215 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | C | N | L | Closed | Closed | Highway Sector Project | 1986-06-10T00:00:00Z | June | 1991-12-31T00:00:00Z | 121,500,000 | 121,500,000 | 0 | 121,500,000 | 0 | ROADS ORGANIZATIONS & PARTICIPATING REP. | ROADS ORGANIZATIONS & PARTICIPATING REPUBLICS. | http://projects.worldbank.org/P009215/highway-... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 12521 | P003000 | Africa | Western Africa;Western Africa | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Regional Management School Project | 1985-11-26T00:00:00Z | November | 1991-10-31T00:00:00Z | 5,500,000 | 0 | 5,500,000 | 5,500,000 | 0 | GOVT OF SENEGAL | CEAO (WEST AFRICA ECONOMIC COMMUNITY) | http://projects.worldbank.org/P003000/regional... | NaN | NaN | Tertiary Education!$!100!$!ET | NaN | NaN | NaN | NaN | Tertiary Education;Tertiary Education | NaN | NaN | NaN | NaN | NaN | Education;Education | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 12577 | P009212 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | C | N | L | Closed | Closed | Petroleum Sector Project | 1985-06-27T00:00:00Z | June | 1992-12-31T00:00:00Z | 92,500,000 | 92,500,000 | 0 | 92,500,000 | 0 | INA NAFTAPLIN; NAFTA-GAS & P.B.S. | NAFTAPLIN; NAFTA-GAS & EXPL | http://projects.worldbank.org/P009212/petroleu... | NaN | NaN | (Historic)Oil and gas exploration and developm... | NaN | NaN | NaN | NaN | (Historic)Oil and gas exploration and developm... | NaN | NaN | NaN | NaN | NaN | (Historic)Oil & Gas;(Historic)Oil & Gas | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 12617 | P009211 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Bosnia Herzegovina Forestry Project | 1985-06-06T00:00:00Z | June | 1990-12-31T00:00:00Z | 35,000,000 | 35,000,000 | 0 | 35,000,000 | 0 | PRIVREDNA BANKA SARAJEVO | SELECTED FORESTRY; BOALS ASSOCIATED IN SIPAD &... | http://projects.worldbank.org/P009211/bosnia-h... | NaN | NaN | Forestry!$!100!$!AT | NaN | NaN | NaN | NaN | Forestry;Forestry | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 12671 | P009205 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Adjustment Loan | AD | NaN | N | L | Closed | Closed | Fertilizer Sector Loan Project | 1985-05-03T00:00:00Z | May | 1988-07-31T00:00:00Z | 90,000,000 | 90,000,000 | 0 | 90,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009205/fertiliz... | NaN | NaN | (Historic)Agriculture adjustment!$!100!$!AA | NaN | NaN | NaN | NaN | (Historic)Agriculture adjustment;(Historic)Agr... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 12677 | P009214 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Visegrad Hydroelectric Project | 1985-04-30T00:00:00Z | April | 1990-12-31T00:00:00Z | 125,000,000 | 125,000,000 | 0 | 125,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009214/visegrad... | NaN | NaN | (Historic)Hydro!$!100!$!PH | NaN | NaN | NaN | NaN | (Historic)Hydro;(Historic)Hydro | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 12751 | P002661 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Emergency Recovery Loan | IN | NaN | N | L | Closed | Closed | Cyclone Reconstruction (Roads) Project | 1985-02-05T00:00:00Z | February | 1990-12-31T00:00:00Z | 8,600,000 | 8,600,000 | 0 | 8,600,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002661/cyclone-... | NaN | NaN | (Historic)Transportation adjustment!$!100!$!TT | NaN | NaN | NaN | NaN | (Historic)Transportation adjustment;(Historic)... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 12809 | P009210 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Montenegro Regional Development Project | 1984-07-31T00:00:00Z | July | 1992-06-30T00:00:00Z | 40,000,000 | 40,000,000 | 0 | 40,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009210/monteneg... | NaN | NaN | (Historic)Agriculture adjustment!$!100!$!AA | NaN | NaN | NaN | NaN | (Historic)Agriculture adjustment;(Historic)Agr... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 12818 | P002999 | Africa | Western Africa;Western Africa | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Nangbeto Hydroelectric Project | 1984-06-28T00:00:00Z | June | 1992-06-30T00:00:00Z | 30,000,000 | 0 | 30,000,000 | 30,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002999/nangbeto... | NaN | NaN | (Historic)Hydro!$!100!$!PH | NaN | NaN | NaN | NaN | (Historic)Hydro;(Historic)Hydro | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 12915 | P002660 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Specific Investment Loan | IN | NaN | Y | L | Closed | Closed | POWER III SUPPLEMENT | 1984-04-24T00:00:00Z | April | NaN | 5,600,000 | 5,600,000 | 0 | 5,600,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002660/power-ii... | NaN | NaN | (Historic)Thermal!$!100!$!PT | NaN | NaN | NaN | NaN | (Historic)Thermal;(Historic)Thermal | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 13004 | P000631 | Africa | Eastern Africa;Eastern Africa | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Ruzizi Regional Hydroelectric Power Project (02) | 1983-12-06T00:00:00Z | December | 1989-12-31T00:00:00Z | 45,000,000 | 0 | 45,000,000 | 45,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P000631/ruzizi-r... | NaN | NaN | (Historic)Hydro!$!100!$!PH | NaN | NaN | NaN | NaN | (Historic)Hydro;(Historic)Hydro | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Eastern Africa | |
| 13041 | P009207 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | MOSTAR POWER(SAP) | 1983-08-02T00:00:00Z | August | NaN | 61,000,000 | 61,000,000 | 0 | 61,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009207/mostar-p... | NaN | NaN | (Historic)Hydro!$!100!$!PH | NaN | NaN | NaN | NaN | (Historic)Hydro;(Historic)Hydro | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13046 | P009206 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Industrial Credit Project (07) | 1983-07-26T00:00:00Z | July | 1989-12-31T00:00:00Z | 70,000,000 | 70,000,000 | 0 | 70,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009206/industri... | NaN | NaN | (Historic)Financial sector development!$!100!$!FS | NaN | NaN | NaN | NaN | (Historic)Financial sector development;(Histor... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13047 | P009208 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | C | N | L | Closed | Closed | Power Transmission Project (03) Energy Managem... | 1983-07-26T00:00:00Z | July | 1993-12-31T00:00:00Z | 120,000,000 | 120,000,000 | 0 | 120,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009208/power-tr... | NaN | NaN | (Historic)Distribution and transmission!$!100!... | NaN | NaN | NaN | NaN | (Historic)Distribution and transmission;(Histo... | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13053 | P009209 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | C | N | L | Closed | Closed | Railway Project (06) | 1983-07-19T00:00:00Z | July | 1991-06-30T00:00:00Z | 110,000,000 | 110,000,000 | 0 | 110,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009209/railway-... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13071 | P009203 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Structural Adjustment Loan | AD | NaN | N | L | Closed | Closed | Structural Adjustment Loan Project (01) | 1983-06-28T00:00:00Z | June | 1985-06-30T00:00:00Z | 275,000,000 | 275,000,000 | 0 | 275,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009203/structur... | NaN | NaN | (Historic)Economic management!$!100!$!ME | NaN | NaN | NaN | NaN | (Historic)Economic management;(Historic)Econom... | NaN | NaN | NaN | NaN | NaN | (Historic)Multisector;(Historic)Multisector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13098 | P009201 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Kosovo Regional Development Project | 1983-06-09T00:00:00Z | June | 1989-03-31T00:00:00Z | 79,000,000 | 79,000,000 | 0 | 79,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009201/kosovo-r... | NaN | NaN | (Historic)Agriculture adjustment!$!100!$!AA | NaN | NaN | NaN | NaN | (Historic)Agriculture adjustment;(Historic)Agr... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13099 | P009202 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Serbia Regional Development Project | 1983-06-09T00:00:00Z | June | 1991-08-31T00:00:00Z | 136,000,000 | 136,000,000 | 0 | 136,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009202/serbia-r... | NaN | NaN | (Historic)Agricultural credit!$!100!$!AC | NaN | NaN | NaN | NaN | (Historic)Agricultural credit;(Historic)Agricu... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13209 | P002998 | Africa | Western Africa;Western Africa | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Banque Ouest Africaine de Developpment Project... | 1983-03-08T00:00:00Z | March | 1991-03-29T00:00:00Z | 20,100,000 | 6,100,000 | 14,000,000 | 20,100,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002998/banque-o... | NaN | NaN | (Historic)Agricultural credit!$!100!$!AC | NaN | NaN | NaN | NaN | (Historic)Agricultural credit;(Historic)Agricu... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 13231 | P009204 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Tuzla Region Water Supply & Environment Project | 1983-01-25T00:00:00Z | January | 1988-12-31T00:00:00Z | 30,000,000 | 30,000,000 | 0 | 30,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009204/tuzla-re... | NaN | NaN | (Historic)Urban water supply!$!100!$!WU | NaN | NaN | NaN | NaN | (Historic)Urban water supply;(Historic)Urban w... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13365 | P009198 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Semberija Drainage Project | 1982-05-27T00:00:00Z | May | 1987-09-30T00:00:00Z | 34,600,000 | 34,600,000 | 0 | 34,600,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009198/semberij... | NaN | NaN | Irrigation and Drainage!$!100!$!AI | NaN | NaN | NaN | NaN | Irrigation and Drainage;Irrigation and Drainage | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13402 | P009197 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Bosnia Herzegovina Agriculture Development Pro... | 1982-05-04T00:00:00Z | May | 1988-03-31T00:00:00Z | 35,000,000 | 35,000,000 | 0 | 35,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009197/bosnia-h... | NaN | NaN | (Historic)Agro-industry and marketing!$!100!$!AM | NaN | NaN | NaN | NaN | (Historic)Agro-industry and marketing;(Histori... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13412 | P009199 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Industrial Credit Project (06) | 1982-04-27T00:00:00Z | April | 1988-12-31T00:00:00Z | 66,000,000 | 66,000,000 | 0 | 66,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009199/industri... | NaN | NaN | (Historic)Financial sector development!$!100!$!FS | NaN | NaN | NaN | NaN | (Historic)Financial sector development;(Histor... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13526 | P009200 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Kosovo Water Supply Project | 1981-11-10T00:00:00Z | November | 1986-04-30T00:00:00Z | 41,000,000 | 41,000,000 | 0 | 41,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009200/kosovo-w... | NaN | NaN | (Historic)Urban water supply!$!100!$!WU | NaN | NaN | NaN | NaN | (Historic)Urban water supply;(Historic)Urban w... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13555 | P009196 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Macedonia Agriculture Development Project (03) | 1981-07-14T00:00:00Z | July | 1987-06-30T00:00:00Z | 80,000,000 | 80,000,000 | 0 | 80,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009196/macedoni... | NaN | NaN | (Historic)Agriculture adjustment!$!100!$!AA | NaN | NaN | NaN | NaN | (Historic)Agriculture adjustment;(Historic)Agr... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13602 | P002659 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Power Project (03) | 1981-05-28T00:00:00Z | May | 1986-12-31T00:00:00Z | 10,000,000 | 10,000,000 | 0 | 10,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002659/power-pr... | NaN | NaN | (Historic)Hydro!$!100!$!PH | NaN | NaN | NaN | NaN | (Historic)Hydro;(Historic)Hydro | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 13629 | P009193 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Kosovo Agriculture Development Project | 1981-05-14T00:00:00Z | May | 1988-06-30T00:00:00Z | 90,000,000 | 90,000,000 | 0 | 90,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009193/kosovo-a... | NaN | NaN | (Historic)Agricultural credit!$!100!$!AC | NaN | NaN | NaN | NaN | (Historic)Agricultural credit;(Historic)Agricu... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13647 | P009195 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Kosovo Railway Project | 1981-04-28T00:00:00Z | April | 1986-12-31T00:00:00Z | 34,000,000 | 34,000,000 | 0 | 34,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009195/kosovo-r... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13706 | P009192 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Morava Regional Development Project (02) | 1981-03-03T00:00:00Z | March | 1986-12-31T00:00:00Z | 87,000,000 | 87,000,000 | 0 | 87,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009192/morava-r... | NaN | NaN | (Historic)Agro-industry and marketing!$!100!$!AM | NaN | NaN | NaN | NaN | (Historic)Agro-industry and marketing;(Histori... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13773 | P009194 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Industrial Credit Project (05) | 1980-10-28T00:00:00Z | October | 1986-10-31T00:00:00Z | 110,000,000 | 110,000,000 | 0 | 110,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009194/industri... | NaN | NaN | (Historic)Financial sector development!$!100!$!FS | NaN | NaN | NaN | NaN | (Historic)Financial sector development;(Histor... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13937 | P009188 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Highway Project (11) | 1980-03-25T00:00:00Z | March | 1985-06-30T00:00:00Z | 125,000,000 | 125,000,000 | 0 | 125,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009188/highway-... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13966 | P009186 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Agriculture Credit Project (03) | 1980-02-26T00:00:00Z | February | 1986-03-31T00:00:00Z | 86,000,000 | 86,000,000 | 0 | 86,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009186/agricult... | NaN | NaN | (Historic)Agricultural credit!$!100!$!AC | NaN | NaN | NaN | NaN | (Historic)Agricultural credit;(Historic)Agricu... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 13986 | P002658 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Education Project (03) | 1980-01-15T00:00:00Z | January | 1985-12-31T00:00:00Z | 10,100,000 | 10,100,000 | 0 | 10,100,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002658/educatio... | NaN | NaN | Primary Education!$!100!$!EP | NaN | NaN | NaN | NaN | Primary Education;Primary Education | NaN | NaN | NaN | NaN | NaN | Education;Education | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 13995 | P002997 | Africa | Western Africa;Western Africa | PE | Technical Assistance Loan | IN | NaN | N | L | Closed | Closed | Project Preparation Credit | 1979-12-27T00:00:00Z | December | 1987-12-31T00:00:00Z | 3,000,000 | 0 | 3,000,000 | 3,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002997/project-... | NaN | NaN | (Historic)Financial adjustment!$!100!$!FF | NaN | NaN | NaN | NaN | (Historic)Financial adjustment;(Historic)Finan... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 14024 | P009190 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Emergency Recovery Loan | IN | NaN | N | L | Closed | Closed | Montenegro Earthquake Rehabilitation Port of B... | 1979-11-27T00:00:00Z | November | 1984-06-30T00:00:00Z | 50,000,000 | 50,000,000 | 0 | 50,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009190/monteneg... | NaN | NaN | (Historic)Transportation adjustment!$!100!$!TT | NaN | NaN | NaN | NaN | (Historic)Transportation adjustment;(Historic)... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14025 | P009191 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Emergency Recovery Loan | IN | NaN | N | L | Closed | Closed | Montenegro Earthquake Rehabilitation Railway P... | 1979-11-27T00:00:00Z | November | 1984-06-30T00:00:00Z | 14,000,000 | 14,000,000 | 0 | 14,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009191/monteneg... | NaN | NaN | (Historic)Transportation adjustment!$!100!$!TT | NaN | NaN | NaN | NaN | (Historic)Transportation adjustment;(Historic)... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14043 | P009189 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Emergency Recovery Loan | IN | NaN | N | L | Closed | Closed | Montenegro Earthquake Rehabilitation Highway P... | 1979-09-18T00:00:00Z | September | 1982-12-31T00:00:00Z | 21,000,000 | 21,000,000 | 0 | 21,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009189/monteneg... | NaN | NaN | (Historic)Transportation adjustment!$!100!$!TT | NaN | NaN | NaN | NaN | (Historic)Transportation adjustment;(Historic)... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14049 | P009187 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Croatia Sava Drainage Project | 1979-09-04T00:00:00Z | September | 1986-06-30T00:00:00Z | 51,000,000 | 51,000,000 | 0 | 51,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009187/croatia-... | NaN | NaN | Irrigation and Drainage!$!100!$!AI | NaN | NaN | NaN | NaN | Irrigation and Drainage;Irrigation and Drainage | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14182 | P009185 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Highway Project (10) | 1979-03-27T00:00:00Z | March | 1985-06-30T00:00:00Z | 148,000,000 | 148,000,000 | 0 | 148,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009185/highway-... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14274 | P009181 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Bosanska Krajina Agriculture and Agro Industry... | 1978-10-05T00:00:00Z | October | 1985-12-31T00:00:00Z | 55,000,000 | 55,000,000 | 0 | 55,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009181/bosanska... | NaN | NaN | (Historic)Agricultural credit!$!100!$!AC | NaN | NaN | NaN | NaN | (Historic)Agricultural credit;(Historic)Agricu... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14280 | P002657 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Highway Project (03) | 1978-09-05T00:00:00Z | September | 1983-12-31T00:00:00Z | 11,000,000 | 11,000,000 | 0 | 11,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002657/highway-... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 14285 | P009182 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Macedonia Irrigation Project | 1978-08-08T00:00:00Z | August | 1982-09-30T00:00:00Z | 82,000,000 | 82,000,000 | 0 | 82,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009182/macedoni... | NaN | NaN | Irrigation and Drainage!$!100!$!AI | NaN | NaN | NaN | NaN | Irrigation and Drainage;Irrigation and Drainage | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14295 | P009183 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Industrial Credit Project (03) | 1978-07-11T00:00:00Z | July | 1983-12-31T00:00:00Z | 40,000,000 | 40,000,000 | 0 | 40,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009183/industri... | NaN | NaN | (Historic)Financial sector development!$!100!$!FS | NaN | NaN | NaN | NaN | (Historic)Financial sector development;(Histor... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14296 | P009184 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Industrial Credit Project (04) | 1978-07-11T00:00:00Z | July | 1983-12-31T00:00:00Z | 60,000,000 | 60,000,000 | 0 | 60,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009184/industri... | NaN | NaN | (Historic)Financial sector development!$!100!$!FS | NaN | NaN | NaN | NaN | (Historic)Financial sector development;(Histor... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14390 | P009178 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Middle Neretva Hydropower Project | 1978-05-02T00:00:00Z | May | 1989-06-30T00:00:00Z | 73,000,000 | 73,000,000 | 0 | 73,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009178/middle-n... | NaN | NaN | (Historic)Hydro!$!100!$!PH | NaN | NaN | NaN | NaN | (Historic)Hydro;(Historic)Hydro | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14429 | P009179 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Highway Project (09) | 1978-03-23T00:00:00Z | March | 1983-12-31T00:00:00Z | 80,000,000 | 80,000,000 | 0 | 80,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009179/highway-... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14430 | P009180 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Railway Project (05) | 1978-03-23T00:00:00Z | March | 1984-05-31T00:00:00Z | 100,000,000 | 100,000,000 | 0 | 100,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009180/railway-... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14534 | P002656 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Education Project (02) | 1977-07-05T00:00:00Z | July | 1981-12-31T00:00:00Z | 4,000,000 | 4,000,000 | 0 | 4,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002656/educatio... | NaN | NaN | Secondary Education!$!100!$!ES | NaN | NaN | NaN | NaN | Secondary Education;Secondary Education | NaN | NaN | NaN | NaN | NaN | Education;Education | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 14537 | P009177 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Agriculture Credit Project (02) | 1977-07-05T00:00:00Z | July | 1983-08-31T00:00:00Z | 75,000,000 | 75,000,000 | 0 | 75,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009177/agricult... | NaN | NaN | (Historic)Agricultural credit!$!100!$!AC | NaN | NaN | NaN | NaN | (Historic)Agricultural credit;(Historic)Agricu... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14549 | P009175 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Power Transmission Project (02) | 1977-06-28T00:00:00Z | June | 1982-12-31T00:00:00Z | 80,000,000 | 80,000,000 | 0 | 80,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009175/power-tr... | NaN | NaN | (Historic)Distribution and transmission!$!100!... | NaN | NaN | NaN | NaN | (Historic)Distribution and transmission;(Histo... | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14628 | P002655 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | National Industrial Development Corporation of... | 1977-04-21T00:00:00Z | April | 1982-01-15T00:00:00Z | 5,000,000 | 5,000,000 | 0 | 5,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002655/national... | NaN | NaN | (Historic)Financial sector development!$!100!$!FS | NaN | NaN | NaN | NaN | (Historic)Financial sector development;(Histor... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 14665 | P009176 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Highway Project (08) | 1977-03-15T00:00:00Z | March | 1981-03-31T00:00:00Z | 56,000,000 | 56,000,000 | 0 | 56,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009176/highway-... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14666 | P002654 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Rural Development Project (01) | 1977-03-08T00:00:00Z | March | 1983-11-30T00:00:00Z | 4,000,000 | 4,000,000 | 0 | 4,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002654/rural-de... | NaN | NaN | (Historic)Agriculture adjustment!$!100!$!AA | NaN | NaN | NaN | NaN | (Historic)Agriculture adjustment;(Historic)Agr... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 14674 | P009173 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Montenegro Agriculture and Agro Industry Project | 1977-02-22T00:00:00Z | February | 1983-06-30T00:00:00Z | 26,000,000 | 26,000,000 | 0 | 26,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009173/monteneg... | NaN | NaN | (Historic)Agro-industry and marketing!$!100!$!AM | NaN | NaN | NaN | NaN | (Historic)Agro-industry and marketing;(Histori... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14689 | P009172 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Metohija Multipurpose Project | 1977-01-11T00:00:00Z | January | 1984-12-31T00:00:00Z | 54,000,000 | 54,000,000 | 0 | 54,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009172/metohija... | NaN | NaN | Irrigation and Drainage!$!100!$!AI | NaN | NaN | NaN | NaN | Irrigation and Drainage;Irrigation and Drainage | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14805 | P009166 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Industrial Credit Project (02) | 1976-05-28T00:00:00Z | May | 1981-12-31T00:00:00Z | 50,000,000 | 50,000,000 | 0 | 50,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009166/industri... | NaN | NaN | (Historic)Financial sector development!$!100!$!FS | NaN | NaN | NaN | NaN | (Historic)Financial sector development;(Histor... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14815 | P009169 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | Sarajevo Air Pollution Control Project | 1976-05-25T00:00:00Z | May | 1982-06-30T00:00:00Z | 38,000,000 | 38,000,000 | 0 | 38,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009169/sarajevo... | NaN | NaN | (Historic)Pollution control / waste management... | NaN | NaN | NaN | NaN | (Historic)Pollution control / waste management... | NaN | NaN | NaN | NaN | NaN | (Historic)Environment;(Historic)Environment | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14816 | P009171 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | Sarajevo Water Supply and Sewerage Project | 1976-05-25T00:00:00Z | May | 1982-12-31T00:00:00Z | 45,000,000 | 45,000,000 | 0 | 45,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009171/sarajevo... | NaN | NaN | (Historic)Urban water supply!$!100!$!WU | NaN | NaN | NaN | NaN | (Historic)Urban water supply;(Historic)Urban w... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14818 | P009170 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | Morava Region Development Water Supply and Sew... | 1976-05-20T00:00:00Z | May | 1982-12-31T00:00:00Z | 20,000,000 | 20,000,000 | 0 | 20,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009170/morava-r... | NaN | NaN | (Historic)Urban water supply!$!100!$!WU | NaN | NaN | NaN | NaN | (Historic)Urban water supply;(Historic)Urban w... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14895 | P000629 | Africa | Africa;Africa | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | East Africa Development Bank Project (02) | 1976-02-03T00:00:00Z | February | 1983-06-30T00:00:00Z | 15,000,000 | 15,000,000 | 0 | 15,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P000629/east-afr... | NaN | NaN | (Historic)Financial sector development!$!100!$!FS | NaN | NaN | NaN | NaN | (Historic)Financial sector development;(Histor... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 14945 | P009167 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Yugoslavia Oil Pipeline Project | 1975-11-04T00:00:00Z | November | 1980-12-30T00:00:00Z | 49,000,000 | 49,000,000 | 0 | 49,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009167/yugoslav... | NaN | NaN | (Historic)Oil and gas transportation!$!100!$!GP | NaN | NaN | NaN | NaN | (Historic)Oil and gas transportation;(Historic... | NaN | NaN | NaN | NaN | NaN | (Historic)Oil & Gas;(Historic)Oil & Gas | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 14981 | P009168 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Highway Project (07) | 1975-07-08T00:00:00Z | July | 1979-12-31T00:00:00Z | 40,000,000 | 40,000,000 | 0 | 40,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009168/highway-... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15022 | P009161 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Agriculture Credit Project | 1975-06-05T00:00:00Z | June | 1980-12-31T00:00:00Z | 50,000,000 | 50,000,000 | 0 | 50,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009161/agricult... | NaN | NaN | (Historic)Agricultural credit!$!100!$!AC | NaN | NaN | NaN | NaN | (Historic)Agricultural credit;(Historic)Agricu... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15023 | P009162 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Buk Bijela Hydropower Project | 1975-06-05T00:00:00Z | June | 1981-12-31T00:00:00Z | 70,000,000 | 70,000,000 | 0 | 70,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009162/buk-bije... | NaN | NaN | (Historic)Hydro!$!100!$!PH | NaN | NaN | NaN | NaN | (Historic)Hydro;(Historic)Hydro | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15063 | P002652 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Highway Project (02) | 1975-04-22T00:00:00Z | April | 1979-12-31T00:00:00Z | 7,000,000 | 7,000,000 | 0 | 7,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002652/highway-... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 15120 | P009165 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | Dubrovnik Water Supply and Waste Water Project | 1974-12-19T00:00:00Z | December | 1981-12-31T00:00:00Z | 6,000,000 | 6,000,000 | 0 | 6,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009165/dubrovni... | NaN | NaN | (Historic)Urban water supply!$!100!$!WU | NaN | NaN | NaN | NaN | (Historic)Urban water supply;(Historic)Urban w... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15134 | P002651 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Education Project (01) | 1974-11-26T00:00:00Z | November | 1981-12-31T00:00:00Z | 5,000,000 | 0 | 5,000,000 | 5,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002651/educatio... | NaN | NaN | Vocational training!$!100!$!EV | NaN | NaN | NaN | NaN | Vocational training;Vocational training | NaN | NaN | NaN | NaN | NaN | Education;Education | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 15135 | P002653 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Water Supply and Sewerage Project | 1974-11-26T00:00:00Z | November | 1979-12-31T00:00:00Z | 3,500,000 | 3,500,000 | 0 | 3,500,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002653/water-su... | NaN | NaN | (Historic)Urban water supply!$!100!$!WU | NaN | NaN | NaN | NaN | (Historic)Urban water supply;(Historic)Urban w... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 15136 | P009163 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Port of Bar Project | 1974-11-26T00:00:00Z | November | 1981-12-31T00:00:00Z | 44,000,000 | 44,000,000 | 0 | 44,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009163/port-bar... | NaN | NaN | Ports/Waterways!$!100!$!TP | NaN | NaN | NaN | NaN | Ports/Waterways;Ports/Waterways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15182 | P009164 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Railway Project (04) | 1974-07-02T00:00:00Z | July | 1981-06-30T00:00:00Z | 93,000,000 | 93,000,000 | 0 | 93,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009164/railway-... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15214 | P009156 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | Industrial Credit Macedonia Kosovo Project | 1974-06-06T00:00:00Z | June | 1980-12-31T00:00:00Z | 50,000,000 | 50,000,000 | 0 | 50,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009156/industri... | NaN | NaN | (Historic)Financial sector development!$!100!$!FS | NaN | NaN | NaN | NaN | (Historic)Financial sector development;(Histor... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15238 | P009160 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Highway Project (06) | 1974-05-21T00:00:00Z | May | 1979-06-30T00:00:00Z | 30,000,000 | 30,000,000 | 0 | 30,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009160/highway-... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15273 | P009158 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | FOB Iron Foundry Project | 1974-02-19T00:00:00Z | February | 1977-12-31T00:00:00Z | 15,000,000 | 15,000,000 | 0 | 15,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009158/fob-iron... | NaN | NaN | (Historic)Other industry!$!100!$!IY | NaN | NaN | NaN | NaN | (Historic)Other industry;(Historic)Other industry | NaN | NaN | NaN | NaN | NaN | (Historic)Industry;(Historic)Industry | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15274 | P009159 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | IMT Tractor Expansion Project | 1974-02-19T00:00:00Z | February | 1977-12-31T00:00:00Z | 18,500,000 | 18,500,000 | 0 | 18,500,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009159/imt-trac... | NaN | NaN | (Historic)Other industry!$!100!$!IY | NaN | NaN | NaN | NaN | (Historic)Other industry;(Historic)Other industry | NaN | NaN | NaN | NaN | NaN | (Historic)Industry;(Historic)Industry | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15314 | P009157 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Kikinda Iron Foundry Project | 1973-11-20T00:00:00Z | November | 1978-03-31T00:00:00Z | 14,500,000 | 14,500,000 | 0 | 14,500,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009157/kikinda-... | NaN | NaN | (Historic)Other industry!$!100!$!IY | NaN | NaN | NaN | NaN | (Historic)Other industry;(Historic)Other industry | NaN | NaN | NaN | NaN | NaN | (Historic)Industry;(Historic)Industry | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15388 | P009155 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Naftagas Pipelines Project | 1973-06-19T00:00:00Z | June | 1985-06-30T00:00:00Z | 59,400,000 | 59,400,000 | 0 | 59,400,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009155/naftagas... | NaN | NaN | (Historic)Oil and gas transportation!$!100!$!GP | NaN | NaN | NaN | NaN | (Historic)Oil and gas transportation;(Historic... | NaN | NaN | NaN | NaN | NaN | (Historic)Oil & Gas;(Historic)Oil & Gas | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15409 | P000627 | Africa | Africa;Africa | PE | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | Telecommunications Project (03) | 1973-05-29T00:00:00Z | May | NaN | 32,500,000 | 32,500,000 | 0 | 32,500,000 | 0 | NaN | NaN | http://projects.worldbank.org/P000627/telecomm... | NaN | NaN | (Historic)Telecommunications and informatics!$... | NaN | NaN | NaN | NaN | (Historic)Telecommunications and informatics;(... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 15417 | P043718 | Africa | Africa;Africa | PE | Sector Investment and Maintenance Loan | IN | NaN | Y | L | Closed | Closed | EAC POST & TELECOM III | 1973-05-29T00:00:00Z | May | 1979-12-31T00:00:00Z | 0 | 0 | 0 | 0 | 0 | NaN | NaN | http://projects.worldbank.org/P043718/eac-post... | NaN | NaN | (Historic)Telecommunications and informatics!$... | NaN | NaN | NaN | NaN | (Historic)Telecommunications and informatics;(... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 15434 | P009154 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Agriculture Industries Project | 1973-05-15T00:00:00Z | May | 1981-06-30T00:00:00Z | 31,000,000 | 31,000,000 | 0 | 31,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009154/agricult... | NaN | NaN | (Historic)Agro-industry and marketing!$!100!$!AM | NaN | NaN | NaN | NaN | (Historic)Agro-industry and marketing;(Histori... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15504 | P000628 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | East Africa Harbours Project (03) | 1972-11-21T00:00:00Z | November | NaN | 26,500,000 | 26,500,000 | 0 | 26,500,000 | 0 | NaN | NaN | http://projects.worldbank.org/P000628/east-afr... | NaN | NaN | Ports/Waterways!$!100!$!TP | NaN | NaN | NaN | NaN | Ports/Waterways;Ports/Waterways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 15509 | P043702 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | NaN | Y | L | Closed | Closed | EAST AFRICAN RAILWAYS III | 1972-11-21T00:00:00Z | November | 1978-06-30T00:00:00Z | 0 | 0 | 0 | 0 | 0 | NaN | NaN | http://projects.worldbank.org/P043702/east-afr... | NaN | NaN | Ports/Waterways!$!100!$!TP | NaN | NaN | NaN | NaN | Ports/Waterways;Ports/Waterways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 15536 | P000626 | Africa | Africa;Africa | PE | Financial Intermediary Loan | IN | NaN | N | L | Closed | Closed | East Africa Development Bank Project (01) | 1972-06-27T00:00:00Z | June | 1977-06-30T00:00:00Z | 8,000,000 | 8,000,000 | 0 | 8,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P000626/east-afr... | NaN | NaN | (Historic)Financial sector development!$!100!$!FS | NaN | NaN | NaN | NaN | (Historic)Financial sector development;(Histor... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 15563 | P009153 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Power Transmission Project | 1972-06-13T00:00:00Z | June | 1979-06-30T00:00:00Z | 75,000,000 | 75,000,000 | 0 | 75,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009153/power-tr... | NaN | NaN | (Historic)Distribution and transmission!$!100!... | NaN | NaN | NaN | NaN | (Historic)Distribution and transmission;(Histo... | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15683 | P009149 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | Babin Kuk Tourism Project | 1971-06-17T00:00:00Z | June | 1979-12-31T00:00:00Z | 20,000,000 | 20,000,000 | 0 | 20,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009149/babin-ku... | NaN | NaN | (Historic)Other urban development!$!100!$!UY | NaN | NaN | NaN | NaN | (Historic)Other urban development;(Historic)Ot... | NaN | NaN | NaN | NaN | NaN | (Historic)Urban Development;(Historic)Urban De... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15684 | P009150 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | Bernardin Tourism Project | 1971-06-17T00:00:00Z | June | 1977-06-30T00:00:00Z | 10,000,000 | 10,000,000 | 0 | 10,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009150/bernardi... | NaN | NaN | (Historic)Other urban development!$!100!$!UY | NaN | NaN | NaN | NaN | (Historic)Other urban development;(Historic)Ot... | NaN | NaN | NaN | NaN | NaN | (Historic)Urban Development;(Historic)Urban De... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15694 | P009151 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Highway Project (05) | 1971-06-10T00:00:00Z | June | 1977-12-31T00:00:00Z | 35,000,000 | 35,000,000 | 0 | 35,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009151/highway-... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15695 | P009152 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | Ibar Multipurpose Water Supply Project | 1971-06-10T00:00:00Z | June | 1981-12-31T00:00:00Z | 45,000,000 | 45,000,000 | 0 | 45,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009152/ibar-mul... | NaN | NaN | (Historic)Urban water supply!$!100!$!WU | NaN | NaN | NaN | NaN | (Historic)Urban water supply;(Historic)Urban w... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15832 | P000623 | Africa | Africa;Africa | PE | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | Telecommunications Project (02) | 1970-05-19T00:00:00Z | May | NaN | 10,400,000 | 10,400,000 | 0 | 10,400,000 | 0 | NaN | NaN | http://projects.worldbank.org/P000623/telecomm... | NaN | NaN | (Historic)Telecommunications and informatics!$... | NaN | NaN | NaN | NaN | (Historic)Telecommunications and informatics;(... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 15835 | P009148 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Highway Project (04) | 1970-05-19T00:00:00Z | May | 1975-12-31T00:00:00Z | 40,000,000 | 40,000,000 | 0 | 40,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009148/highway-... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15840 | P043710 | Africa | Africa;Africa | PE | Sector Investment and Maintenance Loan | IN | NaN | Y | L | Closed | Closed | EAC POST & TELECOM II | 1970-05-19T00:00:00Z | May | 1975-12-31T00:00:00Z | 0 | 0 | 0 | 0 | 0 | NaN | NaN | http://projects.worldbank.org/P043710/eac-post... | NaN | NaN | (Historic)Telecommunications and informatics!$... | NaN | NaN | NaN | NaN | (Historic)Telecommunications and informatics;(... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 15864 | P000625 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | East Africa Railway Project (03) | 1970-03-24T00:00:00Z | March | NaN | 42,400,000 | 42,400,000 | 0 | 42,400,000 | 0 | NaN | NaN | http://projects.worldbank.org/P000625/east-afr... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 15870 | P043714 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | NaN | Y | L | Closed | Closed | EAC - RAILWAYS III | 1970-03-24T00:00:00Z | March | 1978-06-30T00:00:00Z | 0 | 0 | 0 | 0 | 0 | NaN | NaN | http://projects.worldbank.org/P043714/eac-rail... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 15879 | P009146 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | Telecommunications Project | 1970-02-17T00:00:00Z | February | 1976-03-31T00:00:00Z | 40,000,000 | 40,000,000 | 0 | 40,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009146/telecomm... | NaN | NaN | (Historic)Telecommunications and informatics!$... | NaN | NaN | NaN | NaN | (Historic)Telecommunications and informatics;(... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15885 | P009147 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | Industrial Modernization Project (03) | 1970-01-27T00:00:00Z | January | 1974-07-31T00:00:00Z | 18,500,000 | 18,500,000 | 0 | 18,500,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009147/industri... | NaN | NaN | (Historic)Financial sector development!$!100!$!FS | NaN | NaN | NaN | NaN | (Historic)Financial sector development;(Histor... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 15929 | P082499 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | C | N | L | Dropped | Dropped | Market Integration & Trade Surveillance | NaN | NaN | NaN | 11,000,000 | 0 | 10,000,000 | 10,000,000 | 0 | EST AIC | AEU CA | http://projects.worldbank.org/P082499/market-i... | NaN | NaN | Agricultural markets; commercialization and ag... | Agro-industry!$!25!$!YB | NaN | NaN | NaN | Agricultural markets; commercialization and ag... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | Rural policies and institutions!$!40!$!77 | Trade facilitation and market access!$!40!$!49 | Regional integration!$!20!$!47 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16002 | P091099 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | B | N | L | Dropped | Dropped | ENSAP: Water Shed Project | NaN | NaN | NaN | 81,000,000 | 0 | 0 | 0 | 0 | EASTE | EASTE | http://projects.worldbank.org/P091099/ensap-wa... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!60!$!AZ | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Other environment and natural resources manage... | Other rural development!$!67!$!79 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16007 | P091970 | Africa | Africa;Africa | GE | Specific Investment Loan | IN | C | N | L | Dropped | Dropped | Equatorial Africa Deposition Network (EADN) | NaN | NaN | NaN | 7,000,000 | 0 | 0 | 0 | 3,500,000 | NaN | NaN | http://projects.worldbank.org/P091970/equatori... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!100!... | NaN | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Land administration and management!$!50!$!83 | Pollution management and environmental health!... | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16022 | P094062 | Latin America and Caribbean | Central America;Central America | GE | Specific Investment Loan | IN | B | N | L | Dropped | Dropped | Conservation and Sustainable Use of Neotropica... | NaN | NaN | NaN | 20,000,000 | 0 | 0 | 0 | 10,000,000 | ULTICU | CIAT A I | http://projects.worldbank.org/P094062/conserva... | NaN | NaN | Crops!$!49!$!AH | Other Agriculture; Fishing and Forestry!$!25!$!AZ | Agricultural Extension; Research; and Other Su... | ICT Services!$!8!$!CS | Public Administration - Information and Commun... | Crops;Crops;Other Agriculture; Fishing and For... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!14!$!77 | Biodiversity!$!29!$!80 | Environmental policies and institutions!$!14!$!82 | Technology diffusion!$!14!$!48 | Regional integration!$!29!$!47 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central America | |
| 16027 | P094268 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | B | Y | L | Dropped | Dropped | Flood Preparedness and Early Warning in the Ea... | NaN | NaN | NaN | 55,000,000 | 5,000,000 | 35,000,000 | 40,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P094268/flood-pr... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Other Transportation!$!9!$!TZ | Other Public Administration!$!9!$!BZ | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Land administration and management!$!17!$!83 | Natural disaster management!$!33!$!52 | Social Protection and Labor Policy & Systems!$... | Water resource management!$!17!$!85 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16028 | P094410 | Europe and Central Asia | EU Accession Countries;EU Accession Countries | PE | Adaptable Program Loan | IN | C | N | L | Dropped | Dropped | EU Accession E-GOVT TA (SIDEM APL #2) | NaN | NaN | NaN | 4,500,000 | 4,500,000 | 0 | 4,500,000 | 0 | EPULIC | IIST | http://projects.worldbank.org/P094410/eu-acces... | NaN | NaN | Other Public Administration!$!49!$!BZ | ICT Services!$!25!$!CS | Public Administration - Information and Commun... | Other Information and Communications Technolog... | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration;In... | Other public sector governance!$!67!$!30 | Other economic management!$!33!$!24 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | EU Accession Countries | |
| 16031 | P094746 | Africa | Africa;Africa | CN | Financial Intermediary Loan | IN | F | N | L | Dropped | Dropped | DBSA Regional Carbon Finance Operation | NaN | NaN | NaN | 20,000,000 | 0 | 0 | 0 | 20,000,000 | EELPE | EELPE | http://projects.worldbank.org/P094746/dbsa-reg... | NaN | NaN | Renewable energy!$!100!$!LE | NaN | NaN | NaN | NaN | Renewable energy;Renewable energy | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Infrastructure services for private sector dev... | Climate change!$!67!$!81 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16081 | P099293 | Africa | Western Africa;Western Africa | PE | Technical Assistance Loan | IN | C | N | L | Dropped | Dropped | West African Gas Pipeline - Phase II | NaN | NaN | NaN | 14,000,000 | 0 | 12,000,000 | 12,000,000 | 0 | EPULICS | EET | http://projects.worldbank.org/P099293/west-afr... | NaN | NaN | Oil and Gas!$!100!$!LC | NaN | NaN | NaN | NaN | Oil and Gas;Oil and Gas | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Infrastructure services for private sector dev... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 16094 | P100203 | Africa | Africa;Africa | GE | Adaptable Program Loan | IN | B | N | L | Dropped | Dropped | African Rift Geothermal Development Program (A... | NaN | NaN | NaN | 17,750,000 | 0 | 0 | 0 | 13,000,000 | T I | UEP | http://projects.worldbank.org/P100203/african-... | NaN | NaN | Renewable Energy Biomass!$!25!$!LB | Renewable Energy Geothermal!$!25!$!LI | Renewable Energy Solar!$!25!$!LU | Renewable Energy Wind!$!25!$!LW | NaN | Renewable Energy Biomass;Renewable Energy Biom... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Infrastructure services for private sector dev... | Climate change!$!67!$!81 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16178 | P107255 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | N | L | Dropped | Dropped | Southern Africa Technical Advisory Services | NaN | NaN | NaN | 21,000,000 | 0 | 21,000,000 | 21,000,000 | 0 | ALAI | EET | http://projects.worldbank.org/P107255/southern... | NaN | NaN | Other Energy and Extractives!$!35!$!LZ | Other Transportation!$!35!$!TZ | Renewable Energy Biomass!$!30!$!LB | NaN | NaN | Other Energy and Extractives;Other Energy and ... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Infrastructure services for private sector dev... | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16195 | P108934 | Africa | Southern Africa;Southern Africa | PE | Adaptable Program Loan | IN | NaN | N | L | Dropped | Dropped | Regional Transmission Development APL (RI) | NaN | NaN | NaN | 500,000,000 | 0 | 150,000,000 | 150,000,000 | 0 | EET | ELECTICI | http://projects.worldbank.org/P108934/regional... | NaN | NaN | Other Energy and Extractives!$!70!$!LZ | Trade!$!30!$!YY | NaN | NaN | NaN | Other Energy and Extractives;Other Energy and ... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Infrastructure services for private sector dev... | Regional integration!$!33!$!47 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Southern Africa | |
| 16225 | P113138 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | B | N | L | Dropped | Dropped | Lake Malawi/Niassa/Nyasa Conservation and Dev... | NaN | NaN | NaN | 42,000,000 | 0 | 36,000,000 | 36,000,000 | 0 | EET | PLAIE | http://projects.worldbank.org/P113138/lake-mal... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!70!$!AZ | Water Supply!$!20!$!WC | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Pollution management and environmental health!... | Water resource management!$!25!$!85 | Environmental policies and institutions!$!24!$!82 | Rural non-farm income generation!$!13!$!76 | Biodiversity!$!13!$!80 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16238 | P115063 | Africa | Africa;Africa | PE | Investment Project Financing | IN | A | N | L | Dropped | Dropped | WAPP (Phase 3) Adjarala Hydroelectric Project | NaN | NaN | NaN | 450,000,000 | 0 | 120,000,000 | 120,000,000 | 0 | EET | CUAUT | http://projects.worldbank.org/P115063/wapp-apl... | NaN | NaN | Renewable Energy Hydro!$!100!$!LH | NaN | NaN | NaN | NaN | Renewable Energy Hydro;Renewable Energy Hydro | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Infrastructure services for private sector dev... | Regional integration!$!67!$!47 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0002392276!$!Ounkémé Monoto!$!6.8677001!$!1.60... | 0002392276 | Ounkémé Monoto | 6.8677001 | 1.60116 | BJ | Africa | |
| 16244 | P115914 | Africa | Africa;Africa | GE | Specific Investment Loan | IN | B | Y | L | Dropped | Dropped | Regional Project for Lake Basin Conservation a... | NaN | NaN | NaN | 52,000,000 | 0 | 0 | 0 | 10,000,000 | EET | NaN | http://projects.worldbank.org/P115914/regional... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!60!$!AZ | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Water resource management!$!24!$!85 | Rural non-farm income generation!$!13!$!76 | Other environment and natural resources manage... | Environmental policies and institutions!$!25!$!82 | Biodiversity!$!25!$!80 | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16249 | P116533 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | B | N | L | Dropped | Dropped | Africa Mineral Governance Project APL1 | NaN | NaN | NaN | 31,000,000 | 0 | 31,000,000 | 31,000,000 | 0 | PHASE L | ELEAT | http://projects.worldbank.org/P116533/africa-m... | NaN | NaN | Mining!$!100!$!LM | NaN | NaN | NaN | NaN | Mining;Mining | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives | Other public sector governance!$!100!$!30 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16302 | P122040 | Africa | Africa;Africa | PE | Technical Assistance Loan | IN | C | N | L | Dropped | Dropped | Southern Africa Trade and Transport Facilitati... | NaN | NaN | NaN | 6,600,000 | 0 | 6,500,000 | 6,500,000 | 0 | A ES SAL | A ES SAL | http://projects.worldbank.org/P122040/southern... | NaN | NaN | Rural and Inter-Urban Roads!$!50!$!TI | Public Administration - Transportation!$!20!$!TF | Other Industry; Trade and Services!$!20!$!YZ | Railways!$!10!$!TW | NaN | Rural and Inter-Urban Roads;Rural and Inter-Ur... | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation;Transportation;I... | Regional integration!$!40!$!47 | Trade facilitation and market access!$!60!$!49 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16338 | P125056 | Africa | Africa;Africa | PE | Technical Assistance Loan | IN | C | N | L | Dropped | Dropped | Strengthening the Capacity of the Economic; So... | NaN | NaN | NaN | 8,000,000 | 0 | 8,000,000 | 8,000,000 | 0 | AUC | ECSCC | http://projects.worldbank.org/P125056/strength... | NaN | NaN | Other Public Administration!$!100!$!BZ | NaN | NaN | NaN | NaN | Other Public Administration;Other Public Admin... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Other public sector governance!$!100!$!30 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16357 | P126745 | East Asia and Pacific | Pacific Islands;Pacific Islands | PE | Adaptable Program Loan | IN | B | N | L | Dropped | Dropped | Pacific Aviation Investment Project | NaN | NaN | NaN | 72,910,000 | 0 | 61,970,000 | 61,970,000 | 0 | EET | IISTIES | http://projects.worldbank.org/P126745/pacific-... | NaN | NaN | Aviation!$!100!$!TV | NaN | NaN | NaN | NaN | Aviation;Aviation | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | Administrative and civil service reform!$!20!$!25 | Infrastructure services for private sector dev... | Trade facilitation and market access!$!35!$!49 | Regional integration!$!35!$!47 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Pacific Islands | |
| 16402 | P144210 | East Asia and Pacific | Pacific Islands;Pacific Islands | RE | Specific Investment Loan | IN | C | N | L | Dropped | Dropped | Economic Assessment of Disasters in the Pacific | NaN | NaN | NaN | 1,090,000 | 0 | 0 | 0 | 650,000 | PACIIC IS | SECETAIA | http://projects.worldbank.org/P144210?lang=en | NaN | NaN | Public Administration - Water; Sanitation and ... | Other Water Supply; Sanitation and Waste Manag... | Other Transportation!$!3!$!TZ | Other Public Administration!$!3!$!BZ | NaN | Public Administration - Water; Sanitation and ... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Other social development!$!50!$!62 | Other public sector governance!$!50!$!30 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Pacific Islands | |
| 16403 | P144551 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | B | N | L | Dropped | Dropped | AFCC2/RI Regional Transmission Interconnection... | NaN | NaN | NaN | 124,500,000 | 0 | 120,000,000 | 120,000,000 | 0 | EET | ELECTICI | http://projects.worldbank.org/P144551?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16409 | P144902 | Africa | Africa;Africa | GM | Specific Investment Loan | IN | C | N | L | Pipeline | Pipeline | Fighting against wildlife poaching and illegal... | NaN | NaN | NaN | 3,800,000 | 0 | 0 | 0 | 2,000,000 | A EXECU | A EXECU | http://projects.worldbank.org/P144902?lang=en | NaN | NaN | Other Agriculture; Fishing and Forestry!$!50!$!AZ | Forestry!$!50!$!AT | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Biodiversity!$!50!$!80 | Environmental policies and institutions!$!50!$!82 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | 0000160260!$!Dar es Salaam Region!$!-6.8352299... | 0000160260 | Dar es Salaam Region | -6.8352299 | 39.195969 | NaN | Africa | |
| 16412 | P145345 | Latin America and Caribbean | Andean Countries;Andean Countries | GE | Investment Project Financing | IN | B | N | L | Dropped | Dropped | Dropped Andes Adaptation Impact of Climate Cha... | NaN | NaN | NaN | 30,790,000 | 0 | 0 | 0 | 9,690,000 | NaN | NaN | http://projects.worldbank.org/P145345/andes-ad... | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Other Agriculture; Fishing and Forestry!$!27!$!AZ | Other Public Administration!$!21!$!BZ | Water Supply!$!12!$!WC | Forestry!$!4!$!AT | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Climate change!$!67!$!81 | Biodiversity!$!33!$!80 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Andean Countries | |
| 16469 | P151159 | East Asia and Pacific | Pacific Islands;Pacific Islands | PE | Investment Project Financing | IN | C | N | L | Dropped | Dropped | Pacific Island Regional Road Safety Project | NaN | NaN | NaN | 7,200,000 | 0 | 7,200,000 | 7,200,000 | 0 | SECETAIA | SECETAIA | http://projects.worldbank.org/P151159?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Injuries and non-communicable diseases!$!25!$!89 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | 0004036647!$!Eastern Division!$!-18.5!$!180!$!FJ | 0004036647 | Eastern Division | -18.5 | 180 | FJ | Pacific Islands | |
| 16477 | P151606 | Africa | Eastern Africa;Eastern Africa | PE | Investment Project Financing | IN | A | N | L | Dropped | Dropped | LAKE VICTORIA TRANSPORT PROGRAM - SOP2 (UGANDA) | NaN | NaN | NaN | 91,000,000 | 0 | 91,000,000 | 91,000,000 | 0 | IIST | IIST | http://projects.worldbank.org/P151606?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Eastern Africa | |
| 16480 | P151783 | East Asia and Pacific | Pacific Islands;Pacific Islands | PE | Investment Project Financing | IN | B | N | L | Dropped | Dropped | Pacific Islands Regional Oceanscape Program - ... | NaN | NaN | NaN | 3,970,000 | 0 | 3,970,000 | 3,970,000 | 0 | PACIIC IS | IISTIES | http://projects.worldbank.org/P151783?lang=en | NaN | NaN | Other Agriculture; Fishing and Forestry!$!100!... | NaN | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Rural policies and institutions!$!20!$!77 | Other public sector governance!$!20!$!30 | Other environment and natural resources manage... | Environmental policies and institutions!$!25!$!82 | Regional integration!$!15!$!47 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Pacific Islands | |
| 16484 | P151940 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | PE | Investment Project Financing | IN | C | N | L | Dropped | Dropped | OECS Fin Sec Strengthening | NaN | NaN | NaN | 26,000,000 | 0 | 26,000,000 | 26,000,000 | 0 | ECS CUT | EASTE CA | http://projects.worldbank.org/P151940?lang=en | NaN | NaN | Banking Institutions!$!50!$!FA | Other Non-bank Financial Institutions!$!50!$!FL | NaN | NaN | NaN | Banking Institutions;Banking Institutions;Othe... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector;Financial Se... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Organization of Eastern Caribbean States | |
| 16490 | P152346 | Europe and Central Asia | Central Asia;Central Asia | PE | Investment Project Financing | IN | B | N | L | Dropped | Dropped | Central Asia Water Resources Management (CA-WA... | NaN | NaN | NaN | 100,000,000 | 20,000,000 | 35,000,000 | 55,000,000 | 0 | ECIAS A | ECIAS A | http://projects.worldbank.org/P152346?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Water resource management!$!85!$!85 | Climate change!$!15!$!81 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central Asia | |
| 16510 | P154227 | Africa | Eastern Africa;Eastern Africa | PE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | AFCC2/RI-EAC Accelerated Regional Integration | NaN | NaN | NaN | 60,000,000 | 0 | 60,000,000 | 60,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P154227?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Eastern Africa | |
| 16524 | P155329 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | AFCC2/RI-Great Lakes Trade Facilitation - SOP2 | NaN | NaN | NaN | 60,000,000 | 0 | 60,000,000 | 60,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P155329?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Regional integration!$!25!$!47 | Trade facilitation and market access!$!40!$!49 | Rural markets!$!15!$!75 | Other public sector governance!$!20!$!30 | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16531 | P155961 | Africa | Africa;Africa | GM | Investment Project Financing | IN | C | N | L | Pipeline | Pipeline | Regional Partnership for African Fisheries Pol... | NaN | NaN | NaN | 2,000,000 | 0 | 0 | 0 | 2,000,000 | L A | L A | http://projects.worldbank.org/P155961?lang=en | NaN | NaN | Public Administration - Agriculture; Fishing &... | Other Agriculture; Fishing and Forestry!$!30!$!AZ | Fisheries!$!10!$!AF | Livestock!$!10!$!AL | NaN | Public Administration - Agriculture; Fishing &... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Other public sector governance!$!20!$!30 | Environmental policies and institutions!$!80!$!82 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16535 | P156335 | East Asia and Pacific | Pacific Islands;Pacific Islands | GM | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | PACIFIC RESILIENCE PROGRAM | NaN | NaN | NaN | 2,220,000 | 0 | 0 | 0 | 900,000 | PACIIC IS | PACIIC IS | http://projects.worldbank.org/P156335?lang=en | NaN | NaN | Other Water Supply; Sanitation and Waste Manag... | Public Administration - Financial Sector!$!40!... | Other Transportation!$!9!$!TZ | Other Public Administration!$!9!$!BZ | NaN | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | Climate change!$!40!$!81 | Natural disaster management!$!60!$!52 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Pacific Islands | |
| 16537 | P156425 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Dropped | Dropped | East African Community Harmonized Statistics | NaN | NaN | NaN | 470,000 | 0 | 0 | 0 | 470,000 | NaN | NaN | http://projects.worldbank.org/P156425?lang=en | NaN | NaN | Central Government (Central Agencies)!$!100!$!BC | NaN | NaN | NaN | NaN | Central Government (Central Agencies);Central ... | NaN | NaN | NaN | NaN | NaN | Public Administration;Public Administration | Economic statistics; modeling and forecasting!... | Other public sector governance!$!50!$!30 | NaN | NaN | NaN | NaN | Global Public Goods Priorities;Global Public G... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16556 | P157715 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | PE | Investment Project Financing | IN | F | N | L | Pipeline | Pipeline | OECS MSME Guarantee Facility Project | NaN | NaN | NaN | 12,000,000 | 2,000,000 | 8,000,000 | 10,000,000 | 0 | IIST | NaN | http://projects.worldbank.org/P157715?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Organization of Eastern Caribbean States | |
| 16589 | P159220 | Europe and Central Asia | Central Asia;Central Asia | PE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | Third Phase of the Central Asia Regional Links... | NaN | NaN | NaN | 55,000,000 | 0 | 55,000,000 | 55,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P159220?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Other public sector governance!$!10!$!30 | Export development and competitiveness!$!10!$!45 | Rural services and infrastructure!$!20!$!78 | Regional integration!$!60!$!47 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central Asia | |
| 16596 | P159628 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | RE | Investment Project Financing | IN | C | N | L | Pipeline | Pipeline | Swaziland IFMIS Technical Assistance Project | NaN | NaN | NaN | 9,440,000 | 0 | 0 | 0 | 4,440,000 | NaN | NaN | http://projects.worldbank.org/P159628?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 16598 | P159707 | Europe and Central Asia | Central Asia;Central Asia | PE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | Fourth Phase of the Central Asia Regional Link... | NaN | NaN | NaN | 180,000,000 | 0 | 180,000,000 | 180,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P159707?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central Asia | |
| 16612 | P159998 | Africa | Africa;Africa | PE | Investment Project Financing | IN | C | N | L | Dropped | Dropped | AFCC2/RI-GLR: Displaced Persons and Border Com... | NaN | NaN | NaN | 3,000,000 | 0 | 3,000,000 | 3,000,000 | 0 | IIST | PESIETS | http://projects.worldbank.org/P159998?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Participation and civic engagement!$!25!$!57 | Other social development!$!25!$!62 | Conflict prevention and post-conflict reconstr... | Rural services and infrastructure!$!25!$!78 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16634 | P160708 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | F | N | L | Pipeline | Pipeline | Regional Off Grid Electrification Project | NaN | NaN | NaN | 155,000,000 | 0 | 155,000,000 | 155,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P160708?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Infrastructure services for private sector dev... | Rural services and infrastructure!$!50!$!78 | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 16640 | P160923 | Africa | Africa;Africa | PE | Investment Project Financing | IN | C | N | L | Pipeline | Pipeline | Regional Public Sector Capacity Building | NaN | NaN | NaN | 30,000,000 | 0 | 30,000,000 | 30,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P160923?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16643 | P160955 | Africa | Africa;Africa | PE | Investment Project Financing | IN | A | N | L | Pipeline | Pipeline | Lake Victoria Transport Program - Phase 3 Tanz... | NaN | NaN | NaN | 205,000,000 | 0 | 205,000,000 | 205,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P160955?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16650 | P161262 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | A | N | L | Pipeline | Pipeline | Building Climate Resilience in the Niger Basin... | NaN | NaN | NaN | 70,000,000 | 0 | 70,000,000 | 70,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P161262?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 16690 | P162043 | Europe and Central Asia | Western Balkans;Western Balkans | PE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | Western Balkans Trade and Transport Facilitation | NaN | NaN | NaN | 90,000,000 | 90,000,000 | 0 | 90,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P162043?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Balkans | |
| 16704 | P162343 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | West Africa Regional Fisheries Program Phase 2... | NaN | NaN | NaN | 75,000,000 | 0 | 75,000,000 | 75,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P162343?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 16706 | P162416 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | Eastern and Central Africa Agriculture Transfo... | NaN | NaN | NaN | 312,000,000 | 0 | 312,000,000 | 312,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P162416?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16714 | P162580 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | A | N | L | Pipeline | Pipeline | Solar Development in Sub-Saharan Africa - Phas... | NaN | NaN | NaN | 21,000,000 | 0 | 21,000,000 | 21,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P162580?lang=en | NaN | NaN | Public Administration - Energy and Extractives... | Energy Transmission and Distribution!$!31!$!LT | Renewable Energy Solar!$!31!$!LU | NaN | NaN | Public Administration - Energy and Extractives... | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0002275384!$!Republic of Liberia!$!6.5!$!-9.5!... | 0002275384;0002287781;0002328926;0002361809;00... | Republic of Liberia;Republic of Cote d'Ivoire;... | 6.5;8;10;12.5;12;9.5;8.5;13.5;10.83333;18;18 | -9.5;-5.5;8;-1.66667;-15;2.25;-11.5;-15.5;-10.... | LR;CI;NG;BF;GW;BJ;SL;GM;GN;NE;ML | Western Africa | |
| 16732 | P162933 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | North Core/Dorsale Nord Regional Power Interc... | NaN | NaN | NaN | 700,020,000 | 0 | 431,390,000 | 431,390,000 | 0 | NaN | NaN | http://projects.worldbank.org/P162933?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 16744 | P163252 | Africa | Western Africa;Western Africa | GE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | Economic growth and water security in the Sahe... | NaN | NaN | NaN | 13,580,000 | 0 | 0 | 0 | 13,580,000 | NaN | NaN | http://projects.worldbank.org/P163252?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 16755 | P163399 | Africa | Eastern Africa;Eastern Africa | PE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | East Africa Skills for Transformation and Regi... | NaN | NaN | NaN | 220,000,000 | 0 | 220,000,000 | 220,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P163399?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Eastern Africa | |
| 16759 | P163451 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Dropped | Dropped | BF health Financing & UHC project | NaN | NaN | NaN | 1,000,000 | 0 | 0 | 0 | 1,000,000 | NaN | NaN | http://projects.worldbank.org/P163451?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16792 | P164044 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | ECOWAS-Regional Electricity Access Project (Ph... | NaN | NaN | NaN | 263,000,000 | 0 | 263,000,000 | 263,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P164044?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 16814 | P164243 | Africa | Eastern Africa;Eastern Africa | PE | Investment Project Financing | IN | C | N | L | Pipeline | Pipeline | EAC Statistics Development and Harmonization R... | NaN | NaN | NaN | 20,000,000 | 0 | 20,000,000 | 20,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P164243?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Eastern Africa | |
| 16826 | P164342 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | Participatory Forest and Energy Management Reg... | NaN | NaN | NaN | 138,000,000 | 0 | 138,000,000 | 138,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P164342?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 16828 | P164354 | Africa | Africa;Africa | PE | Investment Project Financing | IN | A | N | L | Pipeline | Pipeline | Mozambique - Malawi Regional Interconnector Pr... | NaN | NaN | NaN | 132,000,000 | 0 | 59,000,000 | 59,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P164354?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16838 | P164486 | Africa | Africa;Africa | PE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | Agricultural Productivity Program for Southern... | NaN | NaN | NaN | 50,000,000 | 25,000,000 | 25,000,000 | 50,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P164486?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16845 | P164546 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | Africa Higher Education Centers of Excellence ... | NaN | NaN | NaN | 280,000,000 | 0 | 280,000,000 | 280,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P164546?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 16860 | P164702 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | Strengthening Agricultural Higher Education in... | NaN | NaN | NaN | 100,000,000 | 0 | 100,000,000 | 100,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P164702?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 16868 | P164780 | Europe and Central Asia | Central Asia;Central Asia | PE | Investment Project Financing | IN | NaN | Y | L | Pipeline | Pipeline | Central Asia Hydrometeorology Modernization Pr... | NaN | NaN | NaN | 11,500,000 | 0 | 11,500,000 | 11,500,000 | 0 | NaN | NaN | http://projects.worldbank.org/P164780?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central Asia | |
| 16871 | P164810 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | B | N | L | Pipeline | Pipeline | West Africa Agricultural Transformation Project | NaN | NaN | NaN | 295,000,000 | 0 | 271,000,000 | 271,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P164810?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 16874 | P164880 | Africa | Central Africa;Central Africa | PE | Investment Project Financing | IN | A | N | L | Pipeline | Pipeline | Support to sustainable water resource manageme... | NaN | NaN | NaN | 105,000,000 | 0 | 105,000,000 | 105,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P164880?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Central Africa | |
| 16894 | P165113 | Africa | Africa;Africa | PE | Investment Project Financing | IN | A | N | L | Pipeline | Pipeline | Lake Tanganyika Transport Program - SOP1 Tanza... | NaN | NaN | NaN | 203,000,000 | 0 | 203,000,000 | 203,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P165113?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16895 | P165119 | Africa | Africa;Africa | PE | Investment Project Financing | IN | A | N | L | Pipeline | Pipeline | Lake Tanganyika Transport Program - SOP2 - Bur... | NaN | NaN | NaN | 52,000,000 | 0 | 52,000,000 | 52,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P165119?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16927 | P165581 | Africa | Africa;Africa | PE | Investment Project Financing | IN | C | N | L | Pipeline | Pipeline | Africa Regional Scholarship and Innovation Fun... | NaN | NaN | NaN | 24,000,000 | 0 | 15,000,000 | 15,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P165581?lang=en | NaN | NaN | Tertiary Education!$!100!$!ET | NaN | NaN | NaN | NaN | Tertiary Education;Tertiary Education | NaN | NaN | NaN | NaN | NaN | Education;Education | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0000049518!$!Republic of Rwanda!$!-2!$!30!$!RW... | 0000049518;0000051537;0000149590;0000192950;00... | Republic of Rwanda;Somalia;United Republic of ... | -2;6;-6;1;-2.5;1.25;7;-4.58333;9;15;16;-3.5;-1... | 30;48;35;38;23.5;32.5;21;55.66667;39.5;39;30;3... | RW;SO;TZ;KE;CD;UG;CF;SC;ET;ER;SD;BI;ZW;ZM;KM;M... | Africa | |
| 16931 | P165655 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Pipeline | Pipeline | FOREST DEPENDENT COMMUNITIES CAPACITY BUILDING... | NaN | NaN | NaN | 750,000 | 0 | 0 | 0 | 750,000 | NaN | NaN | http://projects.worldbank.org/P165655?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 16950 | P166042 | Africa | Western Africa;Western Africa | PE | Investment Project Financing | IN | A | N | L | Pipeline | Pipeline | Guinea – Mali Interconnection Project | NaN | NaN | NaN | 380,850,000 | 0 | 84,000,000 | 84,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P166042?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Western Africa | |
| 16967 | P166316 | Africa | Africa;Africa | PE | Investment Project Financing | IN | NaN | Y | L | Pipeline | Pipeline | Support for Capacity Development of the AUC an... | NaN | NaN | NaN | 15,000,000 | 0 | 15,000,000 | 15,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P166316?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 17018 | P167357 | Africa | Africa;Africa | RE | Investment Project Financing | IN | C | N | L | Pipeline | Pipeline | Support to Regional Knowledge Capacity | NaN | NaN | NaN | 1,600,000 | 0 | 0 | 0 | 1,600,000 | NaN | NaN | http://projects.worldbank.org/P167357?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 17258 | P064024 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Specific Investment Loan | IN | C | N | L | Dropped | Dropped | Protection of Children and Orphans Project | NaN | NaN | NaN | 20,000,000 | 10,000,000 | 0 | 10,000,000 | 0 | EET | IIST | http://projects.worldbank.org/P064024/protecti... | NaN | NaN | Primary Education!$!60!$!EP | Social Protection!$!30!$!SA | Secondary Education!$!10!$!ES | NaN | NaN | Primary Education;Primary Education;Social Pro... | NaN | NaN | NaN | NaN | NaN | Education;Education;Social Protection;Education | Social Safety Nets/Social Assistance & Social ... | Education for all!$!33!$!65 | Nutrition and food security!$!17!$!68 | Child health!$!33!$!63 | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 17304 | P068975 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | GE | Specific Investment Loan | IN | B | N | L | Dropped | Dropped | Swaziland Biodiversity Conservation and Partic... | NaN | NaN | NaN | 11,900,000 | 0 | 0 | 0 | 5,500,000 | I | I TU | http://projects.worldbank.org/P068975/swazilan... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!100!... | NaN | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Other environment and natural resources manage... | Environmental policies and institutions!$!20!$!82 | Biodiversity!$!40!$!80 | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 17321 | P070543 | Africa | Africa;Africa | GE | Technical Assistance Loan | IN | B | N | L | Dropped | Dropped | Control of Aquatic Weeds in SADC Region Project | NaN | NaN | NaN | 5,500,000 | 0 | 0 | 0 | 4,000,000 | T LE | SAC ATE | http://projects.worldbank.org/P070543/control-... | NaN | NaN | Other Agriculture; Fishing and Forestry!$!50!$!AZ | Other Water Supply; Sanitation and Waste Manag... | NaN | NaN | NaN | Other Agriculture; Fishing and Forestry;Other ... | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | Environmental policies and institutions!$!33!$!82 | Water resource management!$!67!$!85 | NaN | NaN | NaN | NaN | Global Public Goods Priorities|Millennium Deve... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 17324 | P070658 | Latin America and Caribbean | Organization of Eastern Caribbean States;Organ... | PE | Technical Assistance Loan | IN | C | N | L | Dropped | Dropped | OECS/BARBADOS CATASTROPHE RISK MANAGEMENT AND ... | NaN | NaN | NaN | 6,780,000 | 2,490,000 | 1,660,000 | 4,150,000 | 0 | ECS CUT | CAIEA | http://projects.worldbank.org/P070658/oecsbarb... | NaN | NaN | Insurance and Pension!$!100!$!FD | NaN | NaN | NaN | NaN | Insurance and Pension;Insurance and Pension | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | Natural disaster management!$!100!$!52 | NaN | NaN | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Organization of Eastern Caribbean States | |
| 17334 | P071233 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | C | N | L | Dropped | Dropped | MULTICOUNTRY HIV/AIDS PROGRAM FOR THE AFRICA R... | NaN | NaN | NaN | 0 | 0 | 0 | 0 | 0 | AICA | NaN | http://projects.worldbank.org/P071233/multicou... | NaN | NaN | Health!$!42!$!HG | Social Protection!$!39!$!SA | Central Government (Central Agencies)!$!19!$!BC | NaN | NaN | Health;Health;Social Protection;Central Govern... | NaN | NaN | NaN | NaN | NaN | Health;Health;Social Protection;Public Adminis... | Population and reproductive health!$!29!$!69 | HIV/AIDS!$!29!$!88 | Gender!$!14!$!59 | Health system performance!$!28!$!67 | NaN | NaN | Corporate Advocacy Priorities|Millennium Devel... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 17375 | P076828 | Africa | Africa;Africa | PE | Adaptable Program Loan | IN | C | N | L | Dropped | Dropped | MULTICOUNTRY HIV/AIDS PROGRAM FOR THE AFRICA R... | NaN | NaN | NaN | 0 | 0 | 0 | 0 | 0 | AICA | NaN | http://projects.worldbank.org/P076828/multicou... | NaN | NaN | (Historic)HIV/AIDS!$!100!$!HA | NaN | NaN | NaN | NaN | (Historic)HIV/AIDS;(Historic)HIV/AIDS | NaN | NaN | NaN | NaN | NaN | Health;Health | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 17377 | P077179 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Specific Investment Loan | IN | B | N | L | Dropped | Dropped | Energizing Rural Transformation | NaN | NaN | NaN | 114,900,000 | 20,000,000 | 0 | 20,000,000 | 0 | EET | ULTIPLE A | http://projects.worldbank.org/P077179/energizi... | NaN | NaN | Power!$!75!$!LD | ICT Infrastructure!$!25!$!CI | NaN | NaN | NaN | Power;Power;ICT Infrastructure | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Infrastructure services for private sector dev... | Other environment and natural resources manage... | Rural services and infrastructure!$!25!$!78 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 17426 | P000624 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | East Africa Harbours Project (01) | 1969-07-29T00:00:00Z | July | NaN | 35,000,000 | 35,000,000 | 0 | 35,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P000624/east-afr... | NaN | NaN | Ports/Waterways!$!100!$!TP | NaN | NaN | NaN | NaN | Ports/Waterways;Ports/Waterways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 17430 | P042779 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | NaN | Y | L | Closed | Closed | EAST AFRICAN HARBORS CORP. | 1969-07-29T00:00:00Z | July | 1977-12-31T00:00:00Z | 0 | 0 | 0 | 0 | 0 | NaN | NaN | http://projects.worldbank.org/P042779/east-afr... | NaN | NaN | Ports/Waterways!$!100!$!TP | NaN | NaN | NaN | NaN | Ports/Waterways;Ports/Waterways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 17431 | P042783 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | NaN | Y | L | Closed | Closed | EAST AFRICAN HARBORS II | 1969-07-29T00:00:00Z | July | 1971-06-30T00:00:00Z | 0 | 0 | 0 | 0 | 0 | NaN | NaN | http://projects.worldbank.org/P042783/east-afr... | NaN | NaN | Ports/Waterways!$!100!$!TP | NaN | NaN | NaN | NaN | Ports/Waterways;Ports/Waterways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 17467 | P009145 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Highway Project (03) | 1969-05-27T00:00:00Z | May | 1974-08-31T00:00:00Z | 30,000,000 | 30,000,000 | 0 | 30,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009145/highway-... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 17540 | P009144 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | Industrial Modernization Project (02) | 1968-08-15T00:00:00Z | August | 1973-10-31T00:00:00Z | 16,000,000 | 16,000,000 | 0 | 16,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009144/industri... | NaN | NaN | (Historic)Financial sector development!$!100!$!FS | NaN | NaN | NaN | NaN | (Historic)Financial sector development;(Histor... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 17576 | P009143 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Railway Belgrade Bar Project | 1968-03-22T00:00:00Z | March | 1975-12-31T00:00:00Z | 50,000,000 | 50,000,000 | 0 | 50,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009143/railway-... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 17612 | P009142 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Industrial Modernization Project (01) | 1967-07-18T00:00:00Z | July | 1972-04-30T00:00:00Z | 10,500,000 | 10,500,000 | 0 | 10,500,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009142/industri... | NaN | NaN | (Historic)Financial sector development!$!100!$!FS | NaN | NaN | NaN | NaN | (Historic)Financial sector development;(Histor... | NaN | NaN | NaN | NaN | NaN | Financial Sector;Financial Sector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 17630 | P002650 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Power Project (02) | 1967-04-24T00:00:00Z | April | 1970-12-31T00:00:00Z | 2,800,000 | 2,800,000 | 0 | 2,800,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002650/power-pr... | NaN | NaN | (Historic)Hydro!$!100!$!PH | NaN | NaN | NaN | NaN | (Historic)Hydro;(Historic)Hydro | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 17638 | P009141 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Highway Project | 1967-02-24T00:00:00Z | February | 1971-03-31T00:00:00Z | 10,000,000 | 10,000,000 | 0 | 10,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009141/highway-... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 17640 | P000622 | Africa | Africa;Africa | PE | Sector Investment and Maintenance Loan | IN | NaN | N | L | Closed | Closed | Telecommunications Project (01) | 1967-02-17T00:00:00Z | February | NaN | 13,000,000 | 13,000,000 | 0 | 13,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P000622/telecomm... | NaN | NaN | (Historic)Telecommunications and informatics!$... | NaN | NaN | NaN | NaN | (Historic)Telecommunications and informatics;(... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 17644 | P043706 | Africa | Africa;Africa | PE | Sector Investment and Maintenance Loan | IN | NaN | Y | L | Closed | Closed | EACSA COMMUNICATIONS | 1967-02-17T00:00:00Z | February | 1973-09-30T00:00:00Z | 0 | 0 | 0 | 0 | 0 | NaN | NaN | http://projects.worldbank.org/P043706/eacsa-co... | NaN | NaN | (Historic)Telecommunications and informatics!$... | NaN | NaN | NaN | NaN | (Historic)Telecommunications and informatics;(... | NaN | NaN | NaN | NaN | NaN | Information and Communications Technologies;In... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 17721 | P000621 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Railways and Harbours Project (02) | 1965-09-29T00:00:00Z | September | NaN | 38,000,000 | 38,000,000 | 0 | 38,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P000621/railways... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 17725 | P042778 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | NaN | Y | L | Closed | Closed | RAILWAYS II | 1965-09-29T00:00:00Z | September | NaN | 0 | 0 | 0 | 0 | 0 | NaN | NaN | http://projects.worldbank.org/P042778/railways... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 17729 | P043701 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | NaN | Y | L | Closed | Closed | EAST AFRICAN RAILWAYS II | 1965-09-29T00:00:00Z | September | 1971-06-30T00:00:00Z | 0 | 0 | 0 | 0 | 0 | NaN | NaN | http://projects.worldbank.org/P043701/east-afr... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 17774 | P009140 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Railway Project | 1964-12-11T00:00:00Z | December | 1973-03-31T00:00:00Z | 70,000,000 | 70,000,000 | 0 | 70,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009140/railway-... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 17836 | P009139 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Railway Project | 1963-10-28T00:00:00Z | October | 1967-12-31T00:00:00Z | 35,000,000 | 35,000,000 | 0 | 35,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009139/railway-... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 17861 | P009138 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Highway Project | 1963-06-21T00:00:00Z | June | 1966-07-31T00:00:00Z | 35,000,000 | 35,000,000 | 0 | 35,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009138/highway-... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 17868 | P002649 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Power Project (01) | 1963-05-16T00:00:00Z | May | 1966-04-30T00:00:00Z | 4,200,000 | 4,200,000 | 0 | 4,200,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002649/power-pr... | NaN | NaN | (Historic)Thermal!$!100!$!PT | NaN | NaN | NaN | NaN | (Historic)Thermal;(Historic)Thermal | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 17903 | P009137 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Electric Power Project | 1962-07-11T00:00:00Z | July | 1968-12-31T00:00:00Z | 30,000,000 | 30,000,000 | 0 | 30,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009137/electric... | NaN | NaN | (Historic)Hydro!$!100!$!PH | NaN | NaN | NaN | NaN | (Historic)Hydro;(Historic)Hydro | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 17911 | P002648 | Africa | Kingdom of Swaziland;Kingdom of Swaziland | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Road Project | 1962-03-14T00:00:00Z | March | 1964-06-01T00:00:00Z | 2,800,000 | 0 | 2,800,000 | 2,800,000 | 0 | NaN | NaN | http://projects.worldbank.org/P002648/road-pro... | NaN | NaN | (Historic)Highways!$!100!$!TH | NaN | NaN | NaN | NaN | (Historic)Highways;(Historic)Highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Kingdom of Swaziland | |
| 17963 | P009136 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Electric Power Project | 1961-02-23T00:00:00Z | February | 1968-01-31T00:00:00Z | 30,000,000 | 30,000,000 | 0 | 30,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009136/electric... | NaN | NaN | (Historic)Hydro!$!100!$!PH | NaN | NaN | NaN | NaN | (Historic)Hydro;(Historic)Hydro | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 18134 | P000620 | Africa | Africa;Africa | PE | Specific Investment Loan | IN | C | N | L | Closed | Closed | Railways and Harbours Project | 1955-03-15T00:00:00Z | March | 1957-06-30T00:00:00Z | 24,000,000 | 24,000,000 | 0 | 24,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P000620/railways... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Africa | |
| 18175 | P009135 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Structural Adjustment Loan | AD | NaN | N | L | Closed | Closed | Power Mining Industry Project | 1953-02-11T00:00:00Z | February | 1957-12-31T00:00:00Z | 30,000,000 | 30,000,000 | 0 | 30,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009135/power-mi... | NaN | NaN | (Historic)Economic management!$!100!$!ME | NaN | NaN | NaN | NaN | (Historic)Economic management;(Historic)Econom... | NaN | NaN | NaN | NaN | NaN | (Historic)Multisector;(Historic)Multisector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 18197 | P009134 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Structural Adjustment Loan | AD | NaN | N | L | Closed | Closed | Power Mining Industry Project | 1951-10-11T00:00:00Z | October | 1957-12-31T00:00:00Z | 28,000,000 | 28,000,000 | 0 | 28,000,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009134/power-mi... | NaN | NaN | (Historic)Economic management!$!100!$!ME | NaN | NaN | NaN | NaN | (Historic)Economic management;(Historic)Econom... | NaN | NaN | NaN | NaN | NaN | (Historic)Multisector;(Historic)Multisector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia | |
| 18228 | P009133 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia;Socia... | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Agriculture Timber Equipment Project | 1949-10-17T00:00:00Z | October | 1950-12-31T00:00:00Z | 2,700,000 | 2,700,000 | 0 | 2,700,000 | 0 | NaN | NaN | http://projects.worldbank.org/P009133/agricult... | NaN | NaN | Forestry!$!100!$!AT | NaN | NaN | NaN | NaN | Forestry;Forestry | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Socialist Federal Republic of Yugoslavia |
You'll notice that there are still a few entries without country abbreviations. This includes projects that were labeled as "Africa" rather than a specific country. It also includes "Yugoslavia", which is a country that ceased to exist in the 1990s.
Now the df_projects dataframe and the df_indicator dataframe have a matching column called 'Country Code'. But these two data frames can't be merged quite yet.
Each project in the df_projects dataframe also has a date associated with it. The idea would be to merge the df_projects dataframe with the df_indicator dataframe so that each project also had a population value associated with it. There are still more data transformations to do in order for that to be possible.
In fact, the challenge problem from the previous exercise on merging data would help quite a bit. In that exercise, the indicator data was transformed from a wide format to a long format.
You could then merge the df_projects dataframe and the df_indicator dataframe using the alpha-3 country abbreviation and the project or indicator year. You can start to see how data transformations become a series of processes that pipeline data from one format into a different format.
When reading in a data set, pandas will try to guess the data type of each column like float, integer, datettime, bool, etc. In Pandas, strings are called "object" dtypes.
However, Pandas does not always get this right. That was the issue with the World Bank projects data. Hence, the dtype was specified as a string:
df_projects = pd.read_csv('../data/projects_data.csv', dtype=str)
Run the code cells below to read in the indicator and projects data. Then run the following code cell to see the dtypes of the indicator data frame.
# Run this code cell
import pandas as pd
# read in the population data and drop the final column
df_indicator = pd.read_csv('population_data.csv', skiprows=4)
df_indicator.drop(['Unnamed: 62'], axis=1, inplace=True)
# read in the projects data set with all columns type string
df_projects = pd.read_csv('projects_data.csv', dtype=str)
df_projects.drop(['Unnamed: 56'], axis=1, inplace=True)
# Run this code cell
df_indicator.dtypes
Country Name object Country Code object Indicator Name object Indicator Code object 1960 float64 1961 float64 1962 float64 1963 float64 1964 float64 1965 float64 1966 float64 1967 float64 1968 float64 1969 float64 1970 float64 1971 float64 1972 float64 1973 float64 1974 float64 1975 float64 1976 float64 1977 float64 1978 float64 1979 float64 1980 float64 1981 float64 1982 float64 1983 float64 1984 float64 1985 float64 1986 float64 1987 float64 1988 float64 1989 float64 1990 float64 1991 float64 1992 float64 1993 float64 1994 float64 1995 float64 1996 float64 1997 float64 1998 float64 1999 float64 2000 float64 2001 float64 2002 float64 2003 float64 2004 float64 2005 float64 2006 float64 2007 float64 2008 float64 2009 float64 2010 float64 2011 float64 2012 float64 2013 float64 2014 float64 2015 float64 2016 float64 2017 float64 dtype: object
df_indicator.head()
| Country Name | Country Code | Indicator Name | Indicator Code | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Aruba | ABW | Population, total | SP.POP.TOTL | 54211.0 | 55438.0 | 56225.0 | 56695.0 | 57032.0 | 57360.0 | 57715.0 | 58055.0 | 58386.0 | 58726.0 | 59063.0 | 59440.0 | 59840.0 | 60243.0 | 60528.0 | 60657.0 | 60586.0 | 60366.0 | 60103.0 | 59980.0 | 60096.0 | 60567.0 | 61345.0 | 62201.0 | 62836.0 | 63026.0 | 62644.0 | 61833.0 | 61079.0 | 61032.0 | 62149.0 | 64622.0 | 68235.0 | 72504.0 | 76700.0 | 80324.0 | 83200.0 | 85451.0 | 87277.0 | 89005.0 | 90853.0 | 92898.0 | 94992.0 | 97017.0 | 98737.0 | 100031.0 | 100832.0 | 101220.0 | 101353.0 | 101453.0 | 101669.0 | 102053.0 | 102577.0 | 103187.0 | 103795.0 | 104341.0 | 104822.0 | 105264.0 |
| 1 | Afghanistan | AFG | Population, total | SP.POP.TOTL | 8996351.0 | 9166764.0 | 9345868.0 | 9533954.0 | 9731361.0 | 9938414.0 | 10152331.0 | 10372630.0 | 10604346.0 | 10854428.0 | 11126123.0 | 11417825.0 | 11721940.0 | 12027822.0 | 12321541.0 | 12590286.0 | 12840299.0 | 13067538.0 | 13237734.0 | 13306695.0 | 13248370.0 | 13053954.0 | 12749645.0 | 12389269.0 | 12047115.0 | 11783050.0 | 11601041.0 | 11502761.0 | 11540888.0 | 11777609.0 | 12249114.0 | 12993657.0 | 13981231.0 | 15095099.0 | 16172719.0 | 17099541.0 | 17822884.0 | 18381605.0 | 18863999.0 | 19403676.0 | 20093756.0 | 20966463.0 | 21979923.0 | 23064851.0 | 24118979.0 | 25070798.0 | 25893450.0 | 26616792.0 | 27294031.0 | 28004331.0 | 28803167.0 | 29708599.0 | 30696958.0 | 31731688.0 | 32758020.0 | 33736494.0 | 34656032.0 | 35530081.0 |
| 2 | Angola | AGO | Population, total | SP.POP.TOTL | 5643182.0 | 5753024.0 | 5866061.0 | 5980417.0 | 6093321.0 | 6203299.0 | 6309770.0 | 6414995.0 | 6523791.0 | 6642632.0 | 6776381.0 | 6927269.0 | 7094834.0 | 7277960.0 | 7474338.0 | 7682479.0 | 7900997.0 | 8130988.0 | 8376147.0 | 8641521.0 | 8929900.0 | 9244507.0 | 9582156.0 | 9931562.0 | 10277321.0 | 10609042.0 | 10921037.0 | 11218268.0 | 11513968.0 | 11827237.0 | 12171441.0 | 12553446.0 | 12968345.0 | 13403734.0 | 13841301.0 | 14268994.0 | 14682284.0 | 15088981.0 | 15504318.0 | 15949766.0 | 16440924.0 | 16983266.0 | 17572649.0 | 18203369.0 | 18865716.0 | 19552542.0 | 20262399.0 | 20997687.0 | 21759420.0 | 22549547.0 | 23369131.0 | 24218565.0 | 25096150.0 | 25998340.0 | 26920466.0 | 27859305.0 | 28813463.0 | 29784193.0 |
| 3 | Albania | ALB | Population, total | SP.POP.TOTL | 1608800.0 | 1659800.0 | 1711319.0 | 1762621.0 | 1814135.0 | 1864791.0 | 1914573.0 | 1965598.0 | 2022272.0 | 2081695.0 | 2135479.0 | 2187853.0 | 2243126.0 | 2296752.0 | 2350124.0 | 2404831.0 | 2458526.0 | 2513546.0 | 2566266.0 | 2617832.0 | 2671997.0 | 2726056.0 | 2784278.0 | 2843960.0 | 2904429.0 | 2964762.0 | 3022635.0 | 3083605.0 | 3142336.0 | 3227943.0 | 3286542.0 | 3266790.0 | 3247039.0 | 3227287.0 | 3207536.0 | 3187784.0 | 3168033.0 | 3148281.0 | 3128530.0 | 3108778.0 | 3089027.0 | 3060173.0 | 3051010.0 | 3039616.0 | 3026939.0 | 3011487.0 | 2992547.0 | 2970017.0 | 2947314.0 | 2927519.0 | 2913021.0 | 2905195.0 | 2900401.0 | 2895092.0 | 2889104.0 | 2880703.0 | 2876101.0 | 2873457.0 |
| 4 | Andorra | AND | Population, total | SP.POP.TOTL | 13411.0 | 14375.0 | 15370.0 | 16412.0 | 17469.0 | 18549.0 | 19647.0 | 20758.0 | 21890.0 | 23058.0 | 24276.0 | 25559.0 | 26892.0 | 28232.0 | 29520.0 | 30705.0 | 31777.0 | 32771.0 | 33737.0 | 34818.0 | 36067.0 | 37500.0 | 39114.0 | 40867.0 | 42706.0 | 44600.0 | 46517.0 | 48455.0 | 50434.0 | 52448.0 | 54509.0 | 56671.0 | 58888.0 | 60971.0 | 62677.0 | 63850.0 | 64360.0 | 64327.0 | 64142.0 | 64370.0 | 65390.0 | 67341.0 | 70049.0 | 73182.0 | 76244.0 | 78867.0 | 80991.0 | 82683.0 | 83861.0 | 84462.0 | 84449.0 | 83751.0 | 82431.0 | 80788.0 | 79223.0 | 78014.0 | 77281.0 | 76965.0 |
These results look reasonable. Country Name, Country Code, Indicator Name and Indicator Code were all read in as strings. The year columns, which contain the population data, were read in as floats.
Since the population indicator data was read in correctly, you can run calculations on the data. In this first exercise, sum the populations of the United States, Canada, and Mexico by year.
# TODO: Calculate the population sum by year for Canada,
# the United States, and Mexico.
# the keepcol variable makes a list of the column names to keep. You can use this if you'd like
keepcol = ['Country Name']
for i in range(1960, 2018, 1):
keepcol.append(str(i))
# TODO: In the df_nafta variable, store a data frame that only contains the rows for
# Canada, United States, and Mexico.
df_nafta = df_indicator[df_indicator['Country Code'].isin(['USA','CAN','MEX'])]
# TODO: Calculate the sum of the values in each column in order to find the total population by year.
# You can use the keepcol variable if you want to control which columns get outputted
df_nafta[keepcol].sum()
Country Name CanadaMexicoUnited States 1960 2.36754e+08 1961 2.41356e+08 1962 2.45802e+08 1963 2.50146e+08 1964 2.54478e+08 1965 2.58604e+08 1966 2.62619e+08 1967 2.66554e+08 1968 2.70344e+08 1969 2.74128e+08 1970 2.78406e+08 1971 2.83025e+08 1972 2.87368e+08 1973 2.91559e+08 1974 2.95716e+08 1975 3.00054e+08 1976 3.04177e+08 1977 3.08381e+08 1978 3.1266e+08 1979 3.17042e+08 1980 3.21179e+08 1981 3.25358e+08 1982 3.29469e+08 1983 3.33445e+08 1984 3.37308e+08 1985 3.41227e+08 1986 3.45271e+08 1987 3.49342e+08 1988 3.53478e+08 1989 3.57896e+08 1990 3.62772e+08 1991 3.68224e+08 1992 3.73862e+08 1993 3.79353e+08 1994 3.84587e+08 1995 3.89678e+08 1996 3.94753e+08 1997 3.99926e+08 1998 4.04923e+08 1999 4.0984e+08 2000 4.14652e+08 2001 4.19118e+08 2002 4.23343e+08 2003 4.27424e+08 2004 4.31796e+08 2005 4.36301e+08 2006 4.41043e+08 2007 4.45955e+08 2008 4.51002e+08 2009 4.55905e+08 2010 4.60663e+08 2011 4.65077e+08 2012 4.69572e+08 2013 4.73923e+08 2014 4.78379e+08 2015 4.82763e+08 2016 4.87211e+08 2017 4.91591e+08 dtype: object
df_nafta
| Country Name | Country Code | Indicator Name | Indicator Code | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 33 | Canada | CAN | Population, total | SP.POP.TOTL | 17909009.0 | 18271000.0 | 18614000.0 | 18964000.0 | 19325000.0 | 19678000.0 | 20048000.0 | 20412000.0 | 20744000.0 | 21028000.0 | 21324000.0 | 21645535.0 | 21993631.0 | 22369408.0 | 22774087.0 | 23209000.0 | 23518000.0 | 23796000.0 | 24036000.0 | 24277000.0 | 24593000.0 | 24900000.0 | 25202000.0 | 25456000.0 | 25702000.0 | 25942000.0 | 26204000.0 | 26550000.0 | 26895000.0 | 27379000.0 | 27791000.0 | 28171682.0 | 28519597.0 | 28833410.0 | 29111906.0 | 29354000.0 | 29671900.0 | 29987200.0 | 30247900.0 | 30499200.0 | 30769700.0 | 31081900.0 | 31362000.0 | 31676000.0 | 31995000.0 | 32312000.0 | 32570505.0 | 32887928.0 | 33245773.0 | 33628571.0 | 34005274.0 | 34342780.0 | 34750545.0 | 35152370.0 | 35535348.0 | 35832513.0 | 36264604.0 | 36708083.0 |
| 152 | Mexico | MEX | Population, total | SP.POP.TOTL | 38174112.0 | 39394126.0 | 40649588.0 | 41939880.0 | 43264272.0 | 44623043.0 | 46011038.0 | 47429812.0 | 48894019.0 | 50423481.0 | 52029861.0 | 53718724.0 | 55478151.0 | 57280587.0 | 59088193.0 | 60872399.0 | 62623763.0 | 64345884.0 | 66039488.0 | 67709689.0 | 69360871.0 | 70992195.0 | 72602533.0 | 74196548.0 | 75780605.0 | 77360707.0 | 78934125.0 | 80503052.0 | 82083919.0 | 83697891.0 | 85357874.0 | 87071512.0 | 88828310.0 | 90600453.0 | 92349147.0 | 94045579.0 | 95687452.0 | 97281739.0 | 98821456.0 | 100300579.0 | 101719673.0 | 103067068.0 | 104355608.0 | 105640453.0 | 106995583.0 | 108472228.0 | 110092378.0 | 111836346.0 | 113661809.0 | 115505228.0 | 117318941.0 | 119090017.0 | 120828307.0 | 122535969.0 | 124221600.0 | 125890949.0 | 127540423.0 | 129163276.0 |
| 249 | United States | USA | Population, total | SP.POP.TOTL | 180671000.0 | 183691000.0 | 186538000.0 | 189242000.0 | 191889000.0 | 194303000.0 | 196560000.0 | 198712000.0 | 200706000.0 | 202677000.0 | 205052000.0 | 207661000.0 | 209896000.0 | 211909000.0 | 213854000.0 | 215973000.0 | 218035000.0 | 220239000.0 | 222585000.0 | 225055000.0 | 227225000.0 | 229466000.0 | 231664000.0 | 233792000.0 | 235825000.0 | 237924000.0 | 240133000.0 | 242289000.0 | 244499000.0 | 246819000.0 | 249623000.0 | 252981000.0 | 256514000.0 | 259919000.0 | 263126000.0 | 266278000.0 | 269394000.0 | 272657000.0 | 275854000.0 | 279040000.0 | 282162411.0 | 284968955.0 | 287625193.0 | 290107933.0 | 292805298.0 | 295516599.0 | 298379912.0 | 301231207.0 | 304093966.0 | 306771529.0 | 309338421.0 | 311644280.0 | 313993272.0 | 316234505.0 | 318622525.0 | 321039839.0 | 323405935.0 | 325719178.0 |
Now, run the code cell below to look at the dtypes for the projects data set. They should all be "object" types, ie strings, because that's what was specified in the code when reading in the csv file. As a reminder, this was the code:
df_projects = pd.read_csv('../data/projects_data.csv', dtype=str)
# Run this code cell
df_projects.dtypes
id object regionname object countryname object prodline object lendinginstr object lendinginstrtype object envassesmentcategorycode object supplementprojectflg object productlinetype object projectstatusdisplay object status object project_name object boardapprovaldate object board_approval_month object closingdate object lendprojectcost object ibrdcommamt object idacommamt object totalamt object grantamt object borrower object impagency object url object projectdoc object majorsector_percent object sector1 object sector2 object sector3 object sector4 object sector5 object sector object mjsector1 object mjsector2 object mjsector3 object mjsector4 object mjsector5 object mjsector object theme1 object theme2 object theme3 object theme4 object theme5 object theme object goal object financier object mjtheme1name object mjtheme2name object mjtheme3name object mjtheme4name object mjtheme5name object location object GeoLocID object GeoLocName object Latitude object Longitude object Country object dtype: object
Many of these columns should be strings, so there's no problem; however, a few columns should be other data types. For example, boardapprovaldate should be a datettime and totalamt should be an integer. You'll learn about datetime formatting in the next part of the lesson. For this exercise, focus on the 'totalamt' and 'lendprojectcost' columns. Run the code cell below to see what that data looks like
# Run this code cell
df_projects[['totalamt', 'lendprojectcost']].head()
| totalamt | lendprojectcost | |
|---|---|---|
| 0 | 0 | 500,000 |
| 1 | 200,000,000 | 200,000,000 |
| 2 | 58,330,000 | 50,000,000 |
| 3 | 20,000,000 | 50,000,000 |
| 4 | 100,000,000 | 100,000,000 |
# Run this code cell to take the sum of the total amount column
df_projects['totalamt'].sum()
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What just happened? Pandas treated the totalamts like strings. In Python, adding strings concatenates the strings together.
There are a few ways to remedy this. When using pd.read_csv(), you could specify the column type for every column in the data set. The pd.read_csv() dtype option can accept a dictionary mapping each column name to its data type. You could also specify the thousands option with thousands=','. This specifies that thousands are separated by a comma in this data set.
However, this data is somewhat messy, contains missing values, and has a lot of columns. It might be faster to read in the entire data set with string types and then convert individual columns as needed. For this next exercise, convert the totalamt column from a string to an integer type.
# TODO: Convert the totalamt column from a string to a float and save the results back into the totalamt column
# Step 1: Remove the commas from the 'totalamt' column
# HINT: https://pandas.pydata.org/pandas-docs/version/0.22/generated/pandas.Series.str.replace.html
df_projects['totalamt'] = df_projects['totalamt'].apply(lambda x: ''.join(x.split(',')))
# Step 2: Convert the 'totalamt' column from an object data type (ie string) to an integer data type.
# HINT: https://pandas.pydata.org/pandas-docs/version/0.23/generated/pandas.to_numeric.html
df_projects['totalamt'] = df_projects['totalamt'].astype(int)
With messy data, you might find it easier to read in everything as a string; however, you'll sometimes have to convert those strings to more appropriate data types. When you output the dtypes of a dataframe, you'll generally see these values in the results:
where timedelta is the difference between two datetimes and object is a string. As you've seen here, you sometimes need to convert data types from one type to another type. Pandas has a few different methods for converting between data types, and here are link to the documentation:
Another common data transformation involves parsing dates. Parsing generally means that you start with a string and then transform that string into a different data type. In this case, that means taking a date in the format of a string and transforming the string into a date type. Run the next cell to see an example.
import pandas as pd
parsed_date = pd.to_datetime('January 1st, 2017')
parsed_date
Timestamp('2017-01-01 00:00:00')
parsed_date.month
1
parsed_date.year
2017
parsed_date.second
0
Sometimes date string are formatted in unexpected ways. For example, in the United States, dates are given with the month first and then the day. That is what pandas expects by default. However, some countries write the date with the day first and then the month. Run the next three examples to see Panda's default behavior and how you can specify the date formatting.
parsed_date = pd.to_datetime('5/3/2017 5:30')
parsed_date.month
5
parsed_date = pd.to_datetime('3/5/2017 5:30', format='%d/%m/%Y %H:%M')
parsed_date.month
5
parsed_date = pd.to_datetime('5/3/2017 5:30', format='%m/%d/%Y %H:%M')
parsed_date.month
5
The formatting abbreviations are actually part of the python standard. You can see examples at this link.
Run the code cells below to import the World Bank projects data. The last line of the code outputs all of the column names in the data frame.
# Run this code cell. Read in the projects data set with all columns type string
df_projects = pd.read_csv('projects_data.csv', dtype=str)
df_projects.drop(['Unnamed: 56'], axis=1, inplace=True)
df_projects.columns
Index(['id', 'regionname', 'countryname', 'prodline', 'lendinginstr',
'lendinginstrtype', 'envassesmentcategorycode', 'supplementprojectflg',
'productlinetype', 'projectstatusdisplay', 'status', 'project_name',
'boardapprovaldate', 'board_approval_month', 'closingdate',
'lendprojectcost', 'ibrdcommamt', 'idacommamt', 'totalamt', 'grantamt',
'borrower', 'impagency', 'url', 'projectdoc ', 'majorsector_percent ',
'sector1', 'sector2', 'sector3', 'sector4', 'sector5', 'sector',
'mjsector1', 'mjsector2', 'mjsector3', 'mjsector4', 'mjsector5',
'mjsector', 'theme1', 'theme2', 'theme3', 'theme4', 'theme5', 'theme ',
'goal', 'financier', 'mjtheme1name', 'mjtheme2name', 'mjtheme3name',
'mjtheme4name', 'mjtheme5name', 'location', 'GeoLocID', 'GeoLocName',
'Latitude', 'Longitude', 'Country'],
dtype='object')
Notice there are three columns associated with dates: boardapprovaldate, board_approval_month, and closingdate. Run the code cell below to see what these values look like.
# Run this code cell
df_projects.head(15)[['boardapprovaldate', 'board_approval_month', 'closingdate']]
| boardapprovaldate | board_approval_month | closingdate | |
|---|---|---|---|
| 0 | 2018-06-28T00:00:00Z | June | NaN |
| 1 | 2018-06-28T00:00:00Z | June | 2023-12-31T00:00:00Z |
| 2 | 2018-06-28T00:00:00Z | June | NaN |
| 3 | 2018-06-27T00:00:00Z | June | 2023-06-28T00:00:00Z |
| 4 | 2018-06-27T00:00:00Z | June | 2023-05-31T00:00:00Z |
| 5 | 2018-06-27T00:00:00Z | June | 2019-12-31T00:00:00Z |
| 6 | 2018-06-27T00:00:00Z | June | 2023-10-31T00:00:00Z |
| 7 | 2018-06-27T00:00:00Z | June | 2023-12-31T00:00:00Z |
| 8 | 2018-06-27T00:00:00Z | June | 2022-12-31T00:00:00Z |
| 9 | 2018-06-27T00:00:00Z | June | 2023-12-31T00:00:00Z |
| 10 | 2018-06-27T00:00:00Z | June | 2023-12-31T00:00:00Z |
| 11 | 2018-06-27T00:00:00Z | June | NaN |
| 12 | 2018-06-27T00:00:00Z | June | NaN |
| 13 | 2018-06-27T00:00:00Z | June | NaN |
| 14 | 2018-06-27T00:00:00Z | June | NaN |
# Use the pandas to_datetime method to convert the boardapprovaldate and
# closingdate columns into datetime objects.
# TODO: Use the pandas to_datetime method to convert these two columns
# (boardapprovaldate, closingdate) into date times.
# HINT: It's easier to do this one column at a time
df_projects['boardapprovaldate'] = pd.to_datetime(df_projects['boardapprovaldate'])
df_projects['closingdate'] = pd.to_datetime(df_projects['closingdate'])
# Run the code cells below to see how you can access the different parts of the datetime objects
# Series.dt gives access to the datetime object as explained here: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.dt.html
df_projects['boardapprovaldate'].dt.second
0 0.0
1 0.0
2 0.0
3 0.0
4 0.0
...
18243 0.0
18244 0.0
18245 0.0
18246 0.0
18247 0.0
Name: boardapprovaldate, Length: 18248, dtype: float64
# Run this code cell to see the output
df_projects['boardapprovaldate'].dt.month
0 6.0
1 6.0
2 6.0
3 6.0
4 6.0
...
18243 3.0
18244 8.0
18245 8.0
18246 8.0
18247 5.0
Name: boardapprovaldate, Length: 18248, dtype: float64
# Run this code to see the output
# weekday represents the day of the week from 0 (Monday) to 6 (Sunday).
df_projects['boardapprovaldate'].dt.weekday
0 3.0
1 3.0
2 3.0
3 2.0
4 2.0
...
18243 3.0
18244 3.0
18245 4.0
18246 3.0
18247 4.0
Name: boardapprovaldate, Length: 18248, dtype: float64
Now that the boardapprovaldate and closingdates are in datetime formats, create a few new columns in the df_projects data frame:
###
# TODO create the follwing new columns in the df_projects data frame
#
# approvalyear
# approvalday
# approvalweekday
# closingyear
# closingday
# closingweekday
#
#
###
df_projects['approvalyear'] = df_projects['boardapprovaldate'].dt.year
df_projects['approvalday'] = df_projects['boardapprovaldate'].dt.day
df_projects['approvalweekday'] = df_projects['boardapprovaldate'].dt.weekday
df_projects['closingyear'] = df_projects['closingdate'].dt.year
df_projects['closingday'] = df_projects['closingdate'].dt.day
df_projects['closingweekday'] = df_projects['closingdate'].dt.weekday
Use what you've practiced in this exercise to make a visualization of year on the x-axis and the sum of the totalamt columns per year on the y-axis.
You'll first need to clean the totalamt column to get rid of commas and convert the values to numeric. Then you'll need to use pandas' groupby method to sum the totalamt column for each year.
Finally, you can use the pandas plot() method to output the visualization.
###
# TODO: Make a visualization with year on the x-axis and the sum of the totalamt columns per year on the y-axis
# HINT: The totalamt column is currently a string with commas. For example 100,250,364. You'll need to remove the
# commas and convert the column to a numeric variable.
# HINT: pandas groupby, sum, and plot methods should also be helpful
####
import matplotlib.pyplot as plt
%matplotlib inline
# TODO: Step 1 - convert the totalamt column from string to numeric. Be sure to remove the commas in this column
df_projects['totalamt'] = df_projects['totalamt'].apply(lambda x : ''.join(x.split(',')))
df_projects['totalamt'] = df_projects['totalamt'].astype(int)
# df_projects['totalamt'] = pd.to_numeric(df_projects['totalamt'].str.replace(',',''))
# TODO: Step 2 - calculate the sum of the totalamt column by year and plot the results with a line plot
df_projects.groupby('approvalyear').totalamt.sum().plot(kind = 'line', figsize = (12,8))
plt.xlabel('year')
plt.ylabel('amount $')
plt.show();
<matplotlib.axes._subplots.AxesSubplot at 0x12a377e90>
Encodings are a set of rules mapping string characters to their binary representations. Python supports dozens of different encoding as seen here in this link. Because the web was originally in English, the first encoding rules mapped binary code to the English alphabet.
The English alphabet has only 26 letters. But other languages have many more characters including accents, tildes and umlauts. As time went on, more encodings were invented to deal with languages other than English. The utf-8 standard tries to provide a single encoding schema that can encompass all text.
The problem is that it's difficult to know what encoding rules were used to make a file unless somebody tells you. The most common encoding by far is utf-8. Pandas will assume that files are utf-8 when you read them in or write them out.
Run the code cell below to read in the population data set.
import pandas as pd
df = pd.read_csv('population_data.csv', skiprows=4)
import pandas as pd
df = pd.read_csv('mystery.csv')
--------------------------------------------------------------------------- UnicodeDecodeError Traceback (most recent call last) <ipython-input-41-46474c2a2e94> in <module> 1 import pandas as pd ----> 2 df = pd.read_csv('mystery.csv') ~/opt/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision) 674 ) 675 --> 676 return _read(filepath_or_buffer, kwds) 677 678 parser_f.__name__ = name ~/opt/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds) 446 447 # Create the parser. --> 448 parser = TextFileReader(fp_or_buf, **kwds) 449 450 if chunksize or iterator: ~/opt/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in __init__(self, f, engine, **kwds) 878 self.options["has_index_names"] = kwds["has_index_names"] 879 --> 880 self._make_engine(self.engine) 881 882 def close(self): ~/opt/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in _make_engine(self, engine) 1112 def _make_engine(self, engine="c"): 1113 if engine == "c": -> 1114 self._engine = CParserWrapper(self.f, **self.options) 1115 else: 1116 if engine == "python": ~/opt/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in __init__(self, src, **kwds) 1889 kwds["usecols"] = self.usecols 1890 -> 1891 self._reader = parsers.TextReader(src, **kwds) 1892 self.unnamed_cols = self._reader.unnamed_cols 1893 pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__() pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._get_header() UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
You should have gotten an error: UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte. This means pandas assumed the file had a utf-8 encoding but had trouble reading in the data file.
Your job in the next cell is to figure out the encoding for the mystery.csv file.
# TODO: Figure out what the encoding is of the myster.csv file
# HINT: pd.read_csv('mystery.csv', encoding=?) where ? is the string for an encoding like 'ascii'
# HINT: This link has a list of encodings that Python recognizes https://docs.python.org/3/library/codecs.html#standard-encodings
# Python has a file containing a dictionary of encoding names and associated aliases
# This line imports the dictionary and then creates a set of all available encodings
# You can use this set of encodings to search for the correct encoding
# If you'd like to see what this file looks like, execute the following Python code to see where the file is located
# from encodings import aliases
# aliases.__file__
from encodings.aliases import aliases
alias_values = set(aliases.values())
# TODO: iterate through the alias_values list trying out the different encodings to see which one or ones work
# HINT: Use a try - except statement. Otherwise your code will produce an error when reading in the csv file
# with the wrong encoding.
# HINT: In the try statement, print out the encoding name so that you know which one(s) worked.
fit_list = []
for i in alias_values:
try:
df = pd.read_csv('mystery.csv', encoding = i)
fit_list.append(i)
except:
continue
fit_list
['cp1140', 'utf_16_le', 'cp273', 'utf_16_be', 'cp037', 'utf_16', 'cp1026', 'cp500']
from encodings import aliases
aliases.__file__
'/Users/xuhao3/opt/anaconda3/lib/python3.7/encodings/aliases.py'
There are dozens of encodings that Python can handle; however, Pandas assumes a utf-8 encoding. This makes sense since utf-8 is very common. However, you will sometimes come across files with other encodings. If you don't know the encoding, you have to search for it.
Note, as always, there is a solution file for this exercise. Go to File->Open.
There is a Python library that can be of some help when you don't know an encoding: chardet. Run the code cells below to see how it works.
# install the chardet library
!pip install chardet
Requirement already satisfied: chardet in /Users/xuhao3/opt/anaconda3/lib/python3.7/site-packages (3.0.4)
# import the chardet library
import chardet
# use the detect method to find the encoding
# 'rb' means read in the file as binary
with open("mystery.csv", 'rb') as file:
print(chardet.detect(file.read()))
{'encoding': 'UTF-16', 'confidence': 1.0, 'language': ''}
When a dataset has missing values, you can either remove those values or fill them in. In this exercise, you'll work with World Bank GDP (Gross Domestic Product) data to fill in missing values.
# run this code cell to read in the data set
import pandas as pd
df = pd.read_csv('gdp_data.csv', skiprows=4)
df.drop('Unnamed: 62', axis=1, inplace=True)
# run this code cell to see what the data looks like
df.head()
| Country Name | Country Code | Indicator Name | Indicator Code | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | ... | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Aruba | ABW | GDP (current US$) | NY.GDP.MKTP.CD | NaN | NaN | NaN | NaN | NaN | NaN | ... | 2.791961e+09 | 2.498933e+09 | 2.467704e+09 | 2.584464e+09 | NaN | NaN | NaN | NaN | NaN | NaN |
| 1 | Afghanistan | AFG | GDP (current US$) | NY.GDP.MKTP.CD | 5.377778e+08 | 5.488889e+08 | 5.466667e+08 | 7.511112e+08 | 8.000000e+08 | 1.006667e+09 | ... | 1.019053e+10 | 1.248694e+10 | 1.593680e+10 | 1.793024e+10 | 2.053654e+10 | 2.026425e+10 | 2.061610e+10 | 1.921556e+10 | 1.946902e+10 | 2.081530e+10 |
| 2 | Angola | AGO | GDP (current US$) | NY.GDP.MKTP.CD | NaN | NaN | NaN | NaN | NaN | NaN | ... | 8.417804e+10 | 7.549239e+10 | 8.252614e+10 | 1.041158e+11 | 1.139232e+11 | 1.249125e+11 | 1.267302e+11 | 1.026212e+11 | 9.533720e+10 | 1.242094e+11 |
| 3 | Albania | ALB | GDP (current US$) | NY.GDP.MKTP.CD | NaN | NaN | NaN | NaN | NaN | NaN | ... | 1.288135e+10 | 1.204421e+10 | 1.192695e+10 | 1.289087e+10 | 1.231978e+10 | 1.277628e+10 | 1.322824e+10 | 1.138693e+10 | 1.188368e+10 | 1.303935e+10 |
| 4 | Andorra | AND | GDP (current US$) | NY.GDP.MKTP.CD | NaN | NaN | NaN | NaN | NaN | NaN | ... | 4.007353e+09 | 3.660531e+09 | 3.355695e+09 | 3.442063e+09 | 3.164615e+09 | 3.281585e+09 | 3.350736e+09 | 2.811489e+09 | 2.877312e+09 | 3.012914e+09 |
5 rows × 62 columns
# Run this code cell to check how many null values are in the data set
df.isnull().sum()
Country Name 0
Country Code 0
Indicator Name 0
Indicator Code 0
1960 140
...
2013 16
2014 17
2015 18
2016 23
2017 30
Length: 62, dtype: int64
import matplotlib.pyplot as plt
%matplotlib inline
# put the data set into long form instead of wide
df_melt = pd.melt(df, id_vars=['Country Name', 'Country Code', 'Indicator Name', 'Indicator Code'], var_name='year', value_name='GDP')
# convert year to a date time
df_melt['year'] = pd.to_datetime(df_melt['year'])
def plot_results(column_name):
# plot the results for Afghanistan, Albania, and Honduras
fig, ax = plt.subplots(figsize=(8,6))
df_melt[(df_melt['Country Name'] == 'Afghanistan') |
(df_melt['Country Name'] == 'Albania') |
(df_melt['Country Name'] == 'Honduras')].groupby('Country Name').plot('year', column_name, legend=True, ax=ax)
ax.legend(labels=['Afghanistan', 'Albania', 'Honduras'])
plot_results('GDP')
Afghanistan and Albania are missing data, which show up as gaps in the results.
Your first task is to calculate mean GDP for each country and fill in missing values with the country mean. This is a bit tricky to do in pandas. Here are a few links that should be helpful:
df_melt.head(1)
| Country Name | Country Code | Indicator Name | Indicator Code | year | GDP | |
|---|---|---|---|---|---|---|
| 0 | Aruba | ABW | GDP (current US$) | NY.GDP.MKTP.CD | 1960-01-01 | NaN |
# TODO: Use the df_melt dataframe and fill in missing values with a country's mean GDP
# If you aren't sure how to do this,
# look up something like "how to group data and fill in nan values in pandas" in a search engine
# Put the results in a new column called 'GDP_filled'.
# HINT: You can do this with these methods: groupby(), transform(), a lambda function, fillna(), and mean()
df_melt['GDP_filled'] = df_melt.groupby('Country Name')['GDP'].\
apply(lambda col: col.fillna(col.mean()))
plot_results('GDP_filled')
This is somewhat of an improvement. At least there is no missing data; however, because GDP tends to increase over time, the mean GDP is probably not the best way to fill in missing values for this particular case. Next, try using forward fill to deal with any missing values.
Use the fillna forward fill method to fill in the missing data. Here is the documentation. As explained in the course video, forward fill takes previous values to fill in nulls.
The pandas fillna method has a forward fill option. For example, if you wanted to use forward fill on the GDP dataset, you could execute df_melt['GDP'].fillna(method='ffill'). However, there are two issues with that code.
Write code to first sort the df_melt dataframe by year, then group by 'Country Name', and finally use the forward fill method.
# TODO: Use forward fill to fill in missing GDP values
# HINTS: use the sort_values(), groupby(), and fillna() methods
df_melt['GDP_ffill'] = df_melt.sort_values('year').groupby('Country Name')['GDP'].fillna(method = 'ffill')
# plot the results
plot_results('GDP_ffill')
This looks better at least for the Afghanistan data; however, the Albania data is still missing values. You can fill in the Albania data using back fill. That is what you'll do next.
This part is similar to Part 2, but now you will use backfill. Write code that backfills the missing GDP data.
# TODO: Use back fill to fill in missing GDP values
# HINTS: use the sort_values(), groupby(), and fillna() methods
df_melt['GDP_bfill'] = df_melt.sort_values('year').groupby('Country Name')['GDP'].fillna(method = 'bfill')
# plot the results
plot_results('GDP_bfill')
In this case, the GDP data for all three countries is now complete. Note that forward fill did not fill all the Albania data because the first data entry in 1960 was NaN. Forward fill would try to fill the 1961 value with the NaN value from 1960.
To completely fill the entire GDP data for all countries, you might have to run both forward fill and back fill. Note as well that the results will be slightly different depending on if you run forward fill first or back fill first. Afghanistan, for example, is missing data in the middle of the data set. Hence forward fill and back fill will have slightly different results.
Run this next code cell to see if running both forward fill and back fill end up filling all the GDP NaN values.
# Run forward fill and backward fill on the GDP data
df_melt['GDP_ff_bf'] = df_melt.sort_values('year').groupby('Country Name')['GDP'].fillna(method='ffill').fillna(method='bfill')
# Check if any GDP values are null
df_melt['GDP_ff_bf'].isnull().sum()
0
A data set might have duplicate data: in other words, the same record is represented multiple times. Sometimes, it's easy to find and eliminate duplicate data like when two records are exactly the same. At other times, like what was discussed in the video, duplicate data is hard to spot.
From the World Bank GDP data, count the number of countries that have had a project totalamt greater than 1 billion dollars (1,000,000,000). To get the count, you'll have to remove duplicate data rows.
import pandas as pd
# read in the projects data set and do some basic wrangling
projects = pd.read_csv('projects_data.csv', dtype=str)
projects.drop('Unnamed: 56', axis=1, inplace=True)
projects['totalamt'] = pd.to_numeric(projects['totalamt'].str.replace(',', ''))
projects['countryname'] = projects['countryname'].str.split(';', expand=True)[0]
projects['boardapprovaldate'] = pd.to_datetime(projects['boardapprovaldate'])
# TODO: filter the data frame for projects over 1 billion dollars
projects[projects['totalamt'] > 1000000000].id.nunique()
# TODO: count the number of unique countries in the results
44
projects.head()
| id | regionname | countryname | prodline | lendinginstr | lendinginstrtype | envassesmentcategorycode | supplementprojectflg | productlinetype | projectstatusdisplay | status | project_name | boardapprovaldate | board_approval_month | closingdate | lendprojectcost | ibrdcommamt | idacommamt | totalamt | grantamt | borrower | impagency | url | projectdoc | majorsector_percent | sector1 | sector2 | sector3 | sector4 | sector5 | sector | mjsector1 | mjsector2 | mjsector3 | mjsector4 | mjsector5 | mjsector | theme1 | theme2 | theme3 | theme4 | theme5 | theme | goal | financier | mjtheme1name | mjtheme2name | mjtheme3name | mjtheme4name | mjtheme5name | location | GeoLocID | GeoLocName | Latitude | Longitude | Country | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | P162228 | Other | World | RE | Investment Project Financing | IN | C | N | L | Active | Active | Creating a Trade in Value-Added Database for ... | 2018-06-28 00:00:00+00:00 | June | NaN | 500,000 | 0 | 0 | 0 | 500,000 | NaN | NaN | http://projects.worldbank.org/P162228?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 1 | P163962 | Africa | Democratic Republic of the Congo | PE | Investment Project Financing | IN | B | N | L | Active | Active | Productive Inclusion Project | 2018-06-28 00:00:00+00:00 | June | 2023-12-31T00:00:00Z | 200,000,000 | 0 | 200,000,000 | 200000000 | 0 | NaN | NaN | http://projects.worldbank.org/P163962?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 2 | P167672 | South Asia | People's Republic of Bangladesh | PE | Investment Project Financing | IN | NaN | Y | L | Active | Active | Additional Financing for Health Sector Support... | 2018-06-28 00:00:00+00:00 | June | NaN | 50,000,000 | 0 | 58,330,000 | 58330000 | 0 | NaN | NaN | http://projects.worldbank.org/P167672?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 3 | P158768 | South Asia | Islamic Republic of Afghanistan | PE | Investment Project Financing | IN | A | N | L | Active | Active | Public-Private Partnerships and Public Investm... | 2018-06-27 00:00:00+00:00 | June | 2023-06-28T00:00:00Z | 50,000,000 | 0 | 20,000,000 | 20000000 | 0 | IIST | IIST | http://projects.worldbank.org/P158768?lang=en | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 4 | P161364 | Africa | Federal Republic of Nigeria | PE | Investment Project Financing | IN | B | N | L | Active | Active | Nigeria For Women Project | 2018-06-27 00:00:00+00:00 | June | 2023-05-31T00:00:00Z | 100,000,000 | 0 | 100,000,000 | 100000000 | 0 | NaN | NaN | http://projects.worldbank.org/P161364?lang=en | NaN | NaN | Social Protection!$!63!$!SA | Other Industry; Trade and Services!$!25!$!YZ | Other Agriculture; Fishing and Forestry!$!2!$!AZ | Other Public Administration!$!10!$!BZ | NaN | Social Protection;Social Protection;Other Indu... | NaN | NaN | NaN | NaN | NaN | Social Protection;Social Protection;Industry; ... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0002327546!$!Ogun State!$!7!$!3.58333!$!NG;000... | 0002327546;0002328925;0002565340;0002565343;00... | Ogun State;Niger State;Abia State;Edo;Kebbi St... | 7;10;5.41667;6.5;11.5;8 | 3.58333;6;7.5;6;4;10.5 | NG;NG;NG;NG;NG;NG |
This exercise is more challenging. The projects data set contains data about Yugoslavia, which was an Eastern European country until 1992. Yugoslavia eventually broke up into 7 countries: Bosnia and Herzegovina, Croatia, Kosovo, Macedonia, Montenegro, Serbia, and Slovenia.
But the projects dataset has some ambiguity in how it treats Yugoslavia and the 7 countries that came from Yugoslavia. Your task is to find Yugoslavia projects that are probably represented multiple times in the data set.
# TODO: output all projects for the 'Socialist Federal Republic of Yugoslavia'
# HINT: You can use the exact country name or use the pandas str.contains() method
# to search for Yugoslavia
projects[projects['countryname'].str.contains('Yugoslavia')]
| id | regionname | countryname | prodline | lendinginstr | lendinginstrtype | envassesmentcategorycode | supplementprojectflg | productlinetype | projectstatusdisplay | status | project_name | boardapprovaldate | board_approval_month | closingdate | lendprojectcost | ibrdcommamt | idacommamt | totalamt | grantamt | borrower | impagency | url | projectdoc | majorsector_percent | sector1 | sector2 | sector3 | sector4 | sector5 | sector | mjsector1 | mjsector2 | mjsector3 | mjsector4 | mjsector5 | mjsector | theme1 | theme2 | theme3 | theme4 | theme5 | theme | goal | financier | mjtheme1name | mjtheme2name | mjtheme3name | mjtheme4name | mjtheme5name | location | GeoLocID | GeoLocName | Latitude | Longitude | Country | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 11166 | P009285 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | PE | Specific Investment Loan | IN | A | N | L | Closed | Closed | Kolubara B Thermal Power & Lignite Mine Project | 1991-06-25 00:00:00+00:00 | June | 1997-06-30T00:00:00Z | 300,000,000 | 300,000,000 | 0 | 300000000 | 0 | EPS ROA (ZEP) | EPS | http://projects.worldbank.org/P009285/kolubara... | NaN | NaN | Power!$!44!$!LD | Renewable Energy Biomass!$!56!$!LB | NaN | NaN | NaN | Power;Power;Renewable Energy Biomass | NaN | NaN | NaN | NaN | NaN | Energy and Extractives;Energy and Extractives;... | Rural services and infrastructure!$!33!$!78 | Infrastructure services for private sector dev... | Urban services and housing for the poor!$!33!$!71 | NaN | NaN | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 11410 | P009231 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | PE | Sector Investment and Maintenance Loan | IN | B | N | L | Closed | Closed | Highway Sector Loan Project (03) | 1990-06-20 00:00:00+00:00 | June | 1994-12-31T00:00:00Z | 292,000,000 | 292,000,000 | 0 | 292000000 | 0 | ALL SIX ROAD ORGANIZATIONS | FARP | http://projects.worldbank.org/P009231/highway-... | NaN | NaN | Roads and highways!$!100!$!TA | NaN | NaN | NaN | NaN | Roads and highways;Roads and highways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | Export development and competitiveness!$!25!$!45 | Pollution management and environmental health!... | Infrastructure services for private sector dev... | NaN | NaN | NaN | Global Public Goods Priorities|Corporate Advoc... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 11479 | P009219 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | PE | Structural Adjustment Loan | AD | C | N | L | Closed | Closed | Structural Adjustment Loan Project (02) | 1990-04-12 00:00:00+00:00 | April | 1991-09-30T00:00:00Z | 400,000,000 | 400,000,000 | 0 | 400000000 | 0 | NBY | NBY | http://projects.worldbank.org/P009219/structur... | NaN | NaN | Other Industry; Trade and Services!$!38!$!YZ | Banking Institutions!$!36!$!FA | Central Government (Central Agencies)!$!12!$!BC | Other industry!$!7!$!YW | Other social services!$!7!$!JB | Other Industry; Trade and Services;Other Indus... | NaN | NaN | NaN | NaN | NaN | Industry; Trade and Services;Industry; Trade a... | Macroeconomic management!$!33!$!23 | International financial standards and systems!... | Other public sector governance!$!17!$!30 | Trade facilitation and market access!$!16!$!49 | Other economic management!$!17!$!24 | NaN | Corporate Advocacy Priorities;Corporate Advoca... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 11694 | P009225 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | PE | Sector Investment and Maintenance Loan | IN | C | N | L | Closed | Closed | Railway Project (07) | 1989-05-23 00:00:00+00:00 | May | 1992-12-31T00:00:00Z | 138,000,000 | 138,000,000 | 0 | 138000000 | 0 | RTO BELGRADE; RE LJUBLJANA; RTO NOVI SAD | BORROWER | http://projects.worldbank.org/P009225/railway-... | NaN | NaN | Railways!$!100!$!TW | NaN | NaN | NaN | NaN | Railways;Railways | NaN | NaN | NaN | NaN | NaN | Transportation;Transportation | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 11695 | P009275 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Istria Water Supply & Sewerage Project | 1989-05-23 00:00:00+00:00 | May | 1997-12-31T00:00:00Z | 60,000,000 | 60,000,000 | 0 | 60000000 | 0 | RIZANA WW; ISTRIAN WW & PULA WW | BUTONIGA WW AND RIZANA WW | http://projects.worldbank.org/P009275/istria-w... | NaN | NaN | (Historic)Urban water supply!$!100!$!WU | NaN | NaN | NaN | NaN | (Historic)Urban water supply;(Historic)Urban w... | NaN | NaN | NaN | NaN | NaN | Water; Sanitation and Waste Management;Water; ... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 17903 | P009137 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Electric Power Project | 1962-07-11 00:00:00+00:00 | July | 1968-12-31T00:00:00Z | 30,000,000 | 30,000,000 | 0 | 30000000 | 0 | NaN | NaN | http://projects.worldbank.org/P009137/electric... | NaN | NaN | (Historic)Hydro!$!100!$!PH | NaN | NaN | NaN | NaN | (Historic)Hydro;(Historic)Hydro | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 17963 | P009136 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Electric Power Project | 1961-02-23 00:00:00+00:00 | February | 1968-01-31T00:00:00Z | 30,000,000 | 30,000,000 | 0 | 30000000 | 0 | NaN | NaN | http://projects.worldbank.org/P009136/electric... | NaN | NaN | (Historic)Hydro!$!100!$!PH | NaN | NaN | NaN | NaN | (Historic)Hydro;(Historic)Hydro | NaN | NaN | NaN | NaN | NaN | (Historic)Electric Power & Other Energy;(Histo... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 18175 | P009135 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | PE | Structural Adjustment Loan | AD | NaN | N | L | Closed | Closed | Power Mining Industry Project | 1953-02-11 00:00:00+00:00 | February | 1957-12-31T00:00:00Z | 30,000,000 | 30,000,000 | 0 | 30000000 | 0 | NaN | NaN | http://projects.worldbank.org/P009135/power-mi... | NaN | NaN | (Historic)Economic management!$!100!$!ME | NaN | NaN | NaN | NaN | (Historic)Economic management;(Historic)Econom... | NaN | NaN | NaN | NaN | NaN | (Historic)Multisector;(Historic)Multisector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 18197 | P009134 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | PE | Structural Adjustment Loan | AD | NaN | N | L | Closed | Closed | Power Mining Industry Project | 1951-10-11 00:00:00+00:00 | October | 1957-12-31T00:00:00Z | 28,000,000 | 28,000,000 | 0 | 28000000 | 0 | NaN | NaN | http://projects.worldbank.org/P009134/power-mi... | NaN | NaN | (Historic)Economic management!$!100!$!ME | NaN | NaN | NaN | NaN | (Historic)Economic management;(Historic)Econom... | NaN | NaN | NaN | NaN | NaN | (Historic)Multisector;(Historic)Multisector | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 18228 | P009133 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | PE | Specific Investment Loan | IN | NaN | N | L | Closed | Closed | Agriculture Timber Equipment Project | 1949-10-17 00:00:00+00:00 | October | 1950-12-31T00:00:00Z | 2,700,000 | 2,700,000 | 0 | 2700000 | 0 | NaN | NaN | http://projects.worldbank.org/P009133/agricult... | NaN | NaN | Forestry!$!100!$!AT | NaN | NaN | NaN | NaN | Forestry;Forestry | NaN | NaN | NaN | NaN | NaN | Agriculture; Fishing and Forestry;Agriculture;... | !$!0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
90 rows × 56 columns
Yugoslavia officially ended on April 27th, 1992.
In the code cell below, filter for projects with a 'boardapprovaldate' prior to April 27th, 1992 and with 'countryname' Bosnia and Herzegovina, Croatia, Kosovo, Macedonia, Serbia or Slovenia. You'll see there are a total of 12 projects in the data set that match this criteria. Save the results in the republics variable
import datetime
# TODO: filter the projects data set for project boardapprovaldate prior to April 27th, 1992 AND with countryname
# of either 'Bosnia and Herzegovina', 'Croatia', 'Kosovo', 'Macedonia', 'Serbia', or 'Sovenia'. Store the
# results in the republics variable
republics = projects[(projects['boardapprovaldate'] < datetime.datetime(1992,4,27,tzinfo=datetime.timezone.utc)) &
(projects['countryname'].str.contains('Bosnia') |
projects['countryname'].str.contains('Croatia') |
projects['countryname'].str.contains('Kosovo') |
projects['countryname'].str.contains('Macedonia') |
projects['countryname'].str.contains('Serbia') |
projects['countryname'].str.contains('Sovenia') |
projects['countryname'].str.contains('Montenegro'))]\
[['regionname', 'countryname', 'lendinginstr', 'totalamt',
'boardapprovaldate','location','GeoLocID', 'GeoLocName',
'Latitude','Longitude','Country', 'project_name']].sort_values('boardapprovaldate')
# TODO: so that it's easier to see all the data, keep only these columns:
# ['regionname', 'countryname', 'lendinginstr', 'totalamt', 'boardapprovaldate',
# 'location','GeoLocID', 'GeoLocName', 'Latitude','Longitude','Country', 'project_name']
# TODO: sort the results by boardapprovaldate
# show the results
republics
| regionname | countryname | lendinginstr | totalamt | boardapprovaldate | location | GeoLocID | GeoLocName | Latitude | Longitude | Country | project_name | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 13973 | Europe and Central Asia | Macedonia | Specific Investment Loan | 24000000 | 1980-02-01 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Agriculture & Agroindustry 2 Project (Macedonia) |
| 13048 | Europe and Central Asia | Bosnia and Herzegovina | Specific Investment Loan | 0 | 1983-07-26 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | POWER TRANS.III |
| 13049 | Europe and Central Asia | Republic of Croatia | Specific Investment Loan | 0 | 1983-07-26 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | POWER TRANS.III |
| 13050 | Europe and Central Asia | Macedonia | Specific Investment Loan | 0 | 1983-07-26 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | POWER TRANS.III |
| 12228 | Europe and Central Asia | Republic of Croatia | Financial Intermediary Loan | 0 | 1987-03-31 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | IND.ENERGY EFFIC. I |
| 12061 | Europe and Central Asia | Republic of Croatia | Sector Investment and Maintenance Loan | 0 | 1987-10-13 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | HIGHWAY SECTOR II |
| 12062 | Europe and Central Asia | Republic of Croatia | Sector Investment and Maintenance Loan | 0 | 1987-10-13 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | HIGHWAY SECTOR II |
| 12063 | Europe and Central Asia | Bosnia and Herzegovina | Sector Investment and Maintenance Loan | 0 | 1987-10-13 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | HIGHWAY SECTOR II |
| 11696 | Europe and Central Asia | Republic of Croatia | Specific Investment Loan | 28000000 | 1989-05-23 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Istria Water Supply & Sewerage Project |
Are these projects also represented in the data labeled Yugoslavia? In the code cell below, filter for Yugoslavia projects approved between February 1st, 1980 and May 23rd, 1989 which are the minimum and maximum dates in the results above. Store the results in the yugoslavia variable.
The goal is to see if there are any projects represented more than once in the data set.
# TODO: Filter the projects data for Yugoslavia projects between
# February 1st, 1980 and May 23rd, 1989. Store the results in the
# Yugoslavia variable. Keep the same columns as the previous code cell.
# Sort the values by boardapprovaldate
yugoslavia = projects[(projects['boardapprovaldate'] >= datetime.datetime(1980,2,1,tzinfo=datetime.timezone.utc)) &
(projects['boardapprovaldate'] <= datetime.datetime(1989,5,23,tzinfo=datetime.timezone.utc)) &
(projects['countryname'].str.contains('Yugoslavia'))]\
[['regionname', 'countryname', 'lendinginstr', 'totalamt',
'boardapprovaldate', 'location', 'GeoLocID', 'GeoLocName',
'Latitude', 'Longitude', 'Country', 'project_name']].sort_values('boardapprovaldate')
# show the results
yugoslavia
| regionname | countryname | lendinginstr | totalamt | boardapprovaldate | location | GeoLocID | GeoLocName | Latitude | Longitude | Country | project_name | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 13966 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Financial Intermediary Loan | 86000000 | 1980-02-26 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Agriculture Credit Project (03) |
| 13937 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Specific Investment Loan | 125000000 | 1980-03-25 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Highway Project (11) |
| 13773 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Financial Intermediary Loan | 110000000 | 1980-10-28 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Industrial Credit Project (05) |
| 13706 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Financial Intermediary Loan | 87000000 | 1981-03-03 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Morava Regional Development Project (02) |
| 13647 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Specific Investment Loan | 34000000 | 1981-04-28 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Kosovo Railway Project |
| 13629 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Financial Intermediary Loan | 90000000 | 1981-05-14 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Kosovo Agriculture Development Project |
| 13555 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Financial Intermediary Loan | 80000000 | 1981-07-14 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Macedonia Agriculture Development Project (03) |
| 13526 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Specific Investment Loan | 41000000 | 1981-11-10 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Kosovo Water Supply Project |
| 13412 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Financial Intermediary Loan | 66000000 | 1982-04-27 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Industrial Credit Project (06) |
| 13402 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Specific Investment Loan | 35000000 | 1982-05-04 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Bosnia Herzegovina Agriculture Development Pro... |
| 13365 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Specific Investment Loan | 34600000 | 1982-05-27 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Semberija Drainage Project |
| 13231 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Specific Investment Loan | 30000000 | 1983-01-25 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Tuzla Region Water Supply & Environment Project |
| 13099 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Financial Intermediary Loan | 136000000 | 1983-06-09 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Serbia Regional Development Project |
| 13098 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Financial Intermediary Loan | 79000000 | 1983-06-09 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Kosovo Regional Development Project |
| 13071 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Structural Adjustment Loan | 275000000 | 1983-06-28 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Structural Adjustment Loan Project (01) |
| 13053 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Sector Investment and Maintenance Loan | 110000000 | 1983-07-19 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Railway Project (06) |
| 13046 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Financial Intermediary Loan | 70000000 | 1983-07-26 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Industrial Credit Project (07) |
| 13047 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Specific Investment Loan | 120000000 | 1983-07-26 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Power Transmission Project (03) Energy Managem... |
| 13041 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Specific Investment Loan | 61000000 | 1983-08-02 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | MOSTAR POWER(SAP) |
| 12809 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Financial Intermediary Loan | 40000000 | 1984-07-31 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Montenegro Regional Development Project |
| 12677 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Specific Investment Loan | 125000000 | 1985-04-30 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Visegrad Hydroelectric Project |
| 12671 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Sector Adjustment Loan | 90000000 | 1985-05-03 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Fertilizer Sector Loan Project |
| 12617 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Specific Investment Loan | 35000000 | 1985-06-06 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Bosnia Herzegovina Forestry Project |
| 12577 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Specific Investment Loan | 92500000 | 1985-06-27 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Petroleum Sector Project |
| 12375 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Sector Investment and Maintenance Loan | 121500000 | 1986-06-10 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Highway Sector Project |
| 12227 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Financial Intermediary Loan | 0 | 1987-03-31 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | IND.ENERGY EFFIC. I |
| 12225 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Financial Intermediary Loan | 90000000 | 1987-03-31 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Energy Conservation & Substitution Project |
| 12060 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Sector Investment and Maintenance Loan | 68000000 | 1987-10-13 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Highway Sector Project (02) |
| 11866 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Financial Intermediary Loan | 120000000 | 1988-06-29 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Export Oriented Industries Project |
| 11695 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Specific Investment Loan | 60000000 | 1989-05-23 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Istria Water Supply & Sewerage Project |
| 11694 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Sector Investment and Maintenance Loan | 138000000 | 1989-05-23 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Railway Project (07) |
And as a final step, try to see if there are any projects in the republics variable and yugoslavia variable that could be the same project.
There are multiple ways to do that. As a suggestion, find unique dates in the republics variable. Then separately find unique dates in the yugoslavia variable. Concatenate (ie append) the results together. And then count the number of times each date occurs in this list. If a date occurs twice, that means the same boardapprovaldate appeared in both the Yugoslavia data as well as in the republics data.
You should find that there are four suspicious cases:
import numpy as np
# TODO: find the unique dates in the republics variable
republic_unique_dates = republics['boardapprovaldate'].unique()
# TODO: find the unique dates in the yugoslavia variable
yugoslavia_unique_dates = yugoslavia['boardapprovaldate'].unique()
# TODO: make a list of the results appending one list to the other
dates = np.append(republic_unique_dates , yugoslavia_unique_dates)
# TODO: print out the dates that appeared twice in the results
unique_dates, count = np.unique(dates, return_counts=True)
for i in range(len(unique_dates)):
if count[i] == 2:
print(unique_dates[i])
1983-07-26 00:00:00+00:00 1987-03-31 00:00:00+00:00 1987-10-13 00:00:00+00:00 1989-05-23 00:00:00+00:00
On July 26th, 1983, for example, projects were approved for Bosnia and Herzegovina, Croatia, Macedonia, Slovenia, and Yugoslavia. The code below shows the projects for that date. You'll notice that Yugoslavia had two projects, one of which was called "Power Transmission Project (03) Energy Managem...". The projects in the other countries were all called "POWER TRANS.III".
This looks like a case of duplicate data. What you end up doing with this knowledge would depend on the context. For example, if you wanted to get a true count for the total number of projects in the data set, should all of these projects be counted as one project?
Run the code cell below to see the projects in question.
import datetime
# run this code cell to see the duplicate data
pd.concat([yugoslavia[yugoslavia['boardapprovaldate'] == datetime.datetime(1983, 7, 26,tzinfo=datetime.timezone.utc)],
republics[republics['boardapprovaldate'] == datetime.datetime(1983, 7, 26,tzinfo=datetime.timezone.utc)]
])
| regionname | countryname | lendinginstr | totalamt | boardapprovaldate | location | GeoLocID | GeoLocName | Latitude | Longitude | Country | project_name | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 13046 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Financial Intermediary Loan | 70000000 | 1983-07-26 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Industrial Credit Project (07) |
| 13047 | Europe and Central Asia | Socialist Federal Republic of Yugoslavia | Specific Investment Loan | 120000000 | 1983-07-26 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | Power Transmission Project (03) Energy Managem... |
| 13048 | Europe and Central Asia | Bosnia and Herzegovina | Specific Investment Loan | 0 | 1983-07-26 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | POWER TRANS.III |
| 13049 | Europe and Central Asia | Republic of Croatia | Specific Investment Loan | 0 | 1983-07-26 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | POWER TRANS.III |
| 13050 | Europe and Central Asia | Macedonia | Specific Investment Loan | 0 | 1983-07-26 00:00:00+00:00 | NaN | NaN | NaN | NaN | NaN | NaN | POWER TRANS.III |
In this exercise, you'll create dummy variables from the projects data set. The idea is to transform categorical data like this:
| Project ID | Project Category |
|---|---|
| 0 | Energy |
| 1 | Transportation |
| 2 | Health |
| 3 | Employment |
into new features that look like this:
| Project ID | Energy | Transportation | Health | Employment |
|---|---|---|---|---|
| 0 | 1 | 0 | 0 | 0 |
| 1 | 0 | 1 | 0 | 0 |
| 2 | 0 | 0 | 1 | 0 |
| 3 | 0 | 0 | 0 | 1 |
(Note if you were going to use this data with a model influenced by multicollinearity, you would want to eliminate one of the columns to avoid redundant information.)
The reasoning behind these transformations is that machine learning algorithms read in numbers not text. Text needs to be converted into numbers. You could assign a number to each category like 1, 2, 3, and 4. But a categorical variable has no inherent order, so you want to reflect this in your features.
Pandas makes it very easy to create dummy variables with the get_dummies method. In this exercise, you'll create dummy variables from the World Bank projects data; however, there's a caveat. The World Bank data is not particularly clean, so you'll need to explore and wrangle the data first.
You'll focus on the text values in the sector variables.
Run the code cells below to read in the World Bank projects data set and then to filter out the data for text variables.
import pandas as pd
import numpy as np
# read in the projects data set and do basic wrangling
projects = pd.read_csv('projects_data.csv', dtype=str)
projects.drop('Unnamed: 56', axis=1, inplace=True)
projects['totalamt'] = pd.to_numeric(projects['totalamt'].str.replace(',', ''))
projects['countryname'] = projects['countryname'].str.split(';', expand=True)[0]
projects['boardapprovaldate'] = pd.to_datetime(projects['boardapprovaldate'])
# keep the project name, lending, sector and theme data
sector = projects.copy()
sector = sector[['project_name', 'lendinginstr', 'sector1', 'sector2', 'sector3', 'sector4', 'sector5', 'sector',
'mjsector1', 'mjsector2', 'mjsector3', 'mjsector4', 'mjsector5',
'mjsector', 'theme1', 'theme2', 'theme3', 'theme4', 'theme5', 'theme ',
'goal', 'financier', 'mjtheme1name', 'mjtheme2name', 'mjtheme3name',
'mjtheme4name', 'mjtheme5name']]
Run the code cell below. This cell shows the percentage of each variable that is null. Notice the mjsector1 through mjsector5 variables are all null. The mjtheme1name through mjtheme5name are also all null as well as the theme variable.
Because these variables contain so many null values, they're probably not very useful.
# output percentage of values that are missing
100 * sector.isnull().sum() / sector.shape[0]
project_name 0.000000 lendinginstr 1.348093 sector1 0.000000 sector2 47.791539 sector3 64.450899 sector4 76.019290 sector5 85.132617 sector 3.496274 mjsector1 100.000000 mjsector2 100.000000 mjsector3 100.000000 mjsector4 100.000000 mjsector5 100.000000 mjsector 3.496274 theme1 0.000000 theme2 46.005042 theme3 58.987286 theme4 71.317405 theme5 83.954406 theme 100.000000 goal 33.510522 financier 61.310829 mjtheme1name 100.000000 mjtheme2name 100.000000 mjtheme3name 100.000000 mjtheme4name 100.000000 mjtheme5name 100.000000 dtype: float64
The sector1 variable looks promising; it doesn't contain any null values at all. In the next cell, store the unique sector1 values in a list and output the results. Use the sort_values() and unique() methods.
# TODO: Create a list of the unique values in sector1. Use the sort_values() and unique() pandas methods.
# And then convert those results into a Python list
uniquesectors1 = list(sector['sector1'].value_counts().index)
uniquesectors1
['!$!0', '(Historic)Highways!$!100!$!TH', 'Central Government (Central Agencies)!$!100!$!BC', '(Historic)Agriculture adjustment!$!100!$!AA', 'Irrigation and Drainage!$!100!$!AI', '(Historic)Financial sector development!$!100!$!FS', 'Railways!$!100!$!TW', 'Ports/Waterways!$!100!$!TP', '(Historic)Urban water supply!$!100!$!WU', 'Forestry!$!100!$!AT', '(Historic)Hydro!$!100!$!PH', 'Social Protection!$!100!$!SA', 'Health!$!100!$!HG', 'Other Public Administration!$!100!$!BZ', '(Historic)Economic management!$!100!$!ME', '(Historic)Distribution and transmission!$!100!$!PD', '(Historic)Agricultural credit!$!100!$!AC', '(Historic)Telecommunications and informatics!$!100!$!CC', 'Other Agriculture; Fishing and Forestry!$!100!$!AZ', '(Historic)Thermal!$!100!$!PT', 'Other Energy and Extractives!$!100!$!LZ', 'Power!$!100!$!LD', 'Livestock!$!100!$!AL', 'Central Government (Central Agencies)!$!50!$!BC', 'Primary Education!$!100!$!EP', '(Historic)Perennial crops!$!100!$!AP', '(Historic)Other industry!$!100!$!IY', 'Secondary Education!$!100!$!ES', 'Vocational training!$!100!$!EV', '(Historic)Public sector management adjustment!$!100!$!BB', '(Historic)Other finance!$!100!$!FY', 'Tertiary Education!$!100!$!ET', 'Oil and Gas!$!100!$!LC', 'Other Industry; Trade and Services!$!100!$!YZ', '(Historic)Oil and gas exploration and development!$!100!$!GI', '(Historic)Electric power and other energy adjustment!$!100!$!PP', 'Sub-National Government!$!100!$!BH', 'Central Government (Central Agencies)!$!40!$!BC', 'Renewable energy!$!100!$!LE', '(Historic)Urban housing!$!100!$!UH', 'Energy Transmission and Distribution!$!100!$!LT', 'Renewable Energy Biomass!$!25!$!LB', 'Law and Justice!$!100!$!BG', '(Historic)Urban management!$!100!$!UM', 'Micro- and SME finance!$!100!$!FE', '(Historic)Fertilizer and other chemicals!$!100!$!IC', 'Rural and Inter-Urban Roads!$!100!$!TI', 'Central Government (Central Agencies)!$!60!$!BC', 'Roads and highways!$!100!$!TA', '(Historic)Agro-industry and marketing!$!100!$!AM', '(Historic)Industrial adjustment!$!100!$!II', 'Other Agriculture; Fishing and Forestry!$!50!$!AZ', '(Historic)Mining and other extractive!$!100!$!NN', '(Historic)Other power and energy conversion!$!100!$!PY', '(Historic)Small scale enterprise!$!100!$!IL', 'Water Supply!$!100!$!WC', '(Historic)Other agriculture!$!100!$!AY', 'Other Non-bank Financial Institutions!$!100!$!FL', '(Historic)Agricultural extension!$!100!$!AE', 'Social Protection!$!50!$!SA', 'Waste Management!$!100!$!WB', 'Other Public Administration!$!50!$!BZ', 'Health!$!50!$!HG', 'Other Water Supply; Sanitation and Waste Management!$!100!$!WZ', 'Other Education!$!100!$!EZ', '(Historic)Other urban development!$!100!$!UY', 'Banking Institutions!$!75!$!FA', 'Banking Institutions!$!50!$!FA', 'Other Agriculture; Fishing and Forestry!$!40!$!AZ', 'Central Government (Central Agencies)!$!45!$!BC', 'Social Protection!$!40!$!SA', 'Other Public Administration!$!40!$!BZ', 'Sub-National Government!$!50!$!BH', 'Fisheries!$!100!$!AF', 'Other Industry; Trade and Services!$!50!$!YZ', 'Health!$!90!$!HG', 'Central Government (Central Agencies)!$!80!$!BC', '(Historic)Other transportation!$!100!$!TY', '(Historic)Trade policy reform!$!100!$!MT', 'Agricultural Extension; Research; and Other Support Activities!$!100!$!AB', 'Central Government (Central Agencies)!$!44!$!BC', 'Other Water Supply; Sanitation and Waste Management!$!70!$!WZ', '(Historic)Targeted health!$!100!$!HT', 'Other Agriculture; Fishing and Forestry!$!60!$!AZ', 'Mining!$!100!$!LM', 'Central Government (Central Agencies)!$!70!$!BC', 'Sewerage!$!100!$!WS', 'Banking Institutions!$!100!$!FA', '(Historic)Basic health!$!100!$!HB', '(Historic)Research!$!100!$!AR', '(Historic)Education adjustment!$!100!$!EE', 'Public Administration - Social Protection!$!100!$!SG', 'Other Agriculture; Fishing and Forestry!$!80!$!AZ', 'Social Protection!$!60!$!SA', 'Other Information and Communications Technologies!$!100!$!CZ', 'ICT Infrastructure!$!100!$!CI', 'Insurance and Pension!$!100!$!FD', 'Rural and Inter-Urban Roads!$!90!$!TI', 'Central Government (Central Agencies)!$!75!$!BC', 'Central Government (Central Agencies)!$!90!$!BC', 'Renewable Energy Biomass!$!100!$!LB', 'Sub-National Government!$!40!$!BH', 'Rural and Inter-Urban Roads!$!95!$!TI', 'Other Public Administration!$!60!$!BZ', 'Other Agriculture; Fishing and Forestry!$!70!$!AZ', 'Health!$!70!$!HG', '(Historic)Other education!$!100!$!EY', 'Central Government (Central Agencies)!$!65!$!BC', 'Health!$!80!$!HG', 'Central Government (Central Agencies)!$!67!$!BC', 'Other Water Supply; Sanitation and Waste Management!$!50!$!WZ', '(Historic)Refining; storage and distribution!$!100!$!GS', 'Central Government (Central Agencies)!$!57!$!BC', 'Central Government (Central Agencies)!$!30!$!BC', 'Health!$!91!$!HG', 'Forestry!$!50!$!AT', 'Sanitation!$!100!$!WA', 'Central Government (Central Agencies)!$!38!$!BC', 'Social Protection!$!80!$!SA', 'Other Water Supply; Sanitation and Waste Management!$!40!$!WZ', 'Central Government (Central Agencies)!$!46!$!BC', 'Central Government (Central Agencies)!$!32!$!BC', 'Central Government (Central Agencies)!$!56!$!BC', 'Central Government (Central Agencies)!$!58!$!BC', 'Primary Education!$!40!$!EP', 'Workforce Development and Vocational Education!$!100!$!EW', 'Urban Transport!$!100!$!TC', 'Rural and Inter-Urban Roads!$!97!$!TI', 'Rural and Inter-Urban Roads!$!99!$!TI', 'Social Protection!$!30!$!SA', '(Historic)Urban transport!$!100!$!TU', 'Water Supply!$!60!$!WC', 'Rural and Inter-Urban Roads!$!96!$!TI', 'Water Supply!$!50!$!WC', 'Central Government (Central Agencies)!$!41!$!BC', 'Central Government (Central Agencies)!$!43!$!BC', 'Central Government (Central Agencies)!$!85!$!BC', 'Renewable Energy Hydro!$!100!$!LH', 'Roads and highways!$!99!$!TA', 'Central Government (Central Agencies)!$!78!$!BC', 'Forestry!$!60!$!AT', 'Health!$!40!$!HG', 'Central Government (Central Agencies)!$!55!$!BC', 'Other Industry; Trade and Services!$!40!$!YZ', 'Primary Education!$!50!$!EP', '(Historic)Non-sector specific!$!100!$!MY', 'Rural and Inter-Urban Roads!$!94!$!TI', 'Other Industry; Trade and Services!$!46!$!YZ', 'Other Water Supply; Sanitation and Waste Management!$!60!$!WZ', 'Health!$!100!$!JA', 'Central Government (Central Agencies)!$!36!$!BC', 'Social Protection!$!90!$!SA', 'Water Supply!$!70!$!WC', 'Public Administration - Financial Sector!$!100!$!FP', 'Social Protection!$!75!$!SA', 'Social Protection!$!70!$!SA', '(Historic)Oil and gas transportation!$!100!$!GP', 'Health!$!75!$!HG', 'Central Government (Central Agencies)!$!63!$!BC', 'Central Government (Central Agencies)!$!68!$!BC', 'Health!$!97!$!HG', 'Central Government (Central Agencies)!$!35!$!BC', 'Other Industry; Trade and Services!$!45!$!YZ', 'Central Government (Central Agencies)!$!34!$!BC', 'Agricultural Extension; Research; and Other Support Activities!$!50!$!AB', 'Health!$!94!$!HG', 'Renewable Energy Solar!$!100!$!LU', 'Health!$!60!$!HG', '(Historic)Financial adjustment!$!100!$!FF', 'Agricultural Extension; Research; and Other Support Activities!$!20!$!AB', 'Central Government (Central Agencies)!$!33!$!BC', 'Social Protection!$!35!$!SA', 'Rural and Inter-Urban Roads!$!80!$!TI', 'Health!$!95!$!HG', 'Primary Education!$!70!$!EP', 'Irrigation and Drainage!$!50!$!AI', '(Historic)Urban development adjustment!$!100!$!UU', 'Roads and highways!$!98!$!TA', 'Other Public Administration!$!30!$!BZ', 'Health!$!88!$!HG', 'Roads and highways!$!97!$!TA', 'Water Supply!$!80!$!WC', 'Primary Education!$!60!$!EP', 'Other Energy and Extractives!$!50!$!LZ', 'Roads and highways!$!91!$!TA', 'Banking Institutions!$!60!$!FA', 'Public Administration - Water; Sanitation and Waste Management!$!100!$!WF', '(Historic)Industrial restructuring!$!100!$!IR', 'Central Government (Central Agencies)!$!88!$!BC', 'Water Supply!$!75!$!WC', 'Sub-National Government!$!60!$!BH', 'Sub-National Government!$!30!$!BH', 'Central Government (Central Agencies)!$!42!$!BC', 'Health!$!96!$!HG', 'Social Protection!$!89!$!SA', '(Historic)Transportation adjustment!$!100!$!TT', '(Historic)Annual crops!$!100!$!AQ', '(Historic)Water supply and sanitation adjustment!$!100!$!WW', 'ICT Services!$!50!$!CS', 'Banking Institutions!$!37!$!FA', 'Agricultural Extension; Research; and Other Support Activities!$!80!$!AB', 'Central Government (Central Agencies)!$!72!$!BC', 'Other Non-bank Financial Institutions!$!50!$!FL', 'Power!$!50!$!LD', 'Power!$!99!$!LD', '(Historic)Rural roads!$!100!$!TR', 'Other Education!$!50!$!EZ', 'Other Transportation!$!100!$!TZ', 'Other Water Supply; Sanitation and Waste Management!$!48!$!WZ', 'Forestry!$!80!$!AT', 'Irrigation and Drainage!$!60!$!AI', 'Other Public Administration!$!35!$!BZ', 'Primary Education!$!80!$!EP', 'Tertiary Education!$!50!$!ET', 'Other Industry; Trade and Services!$!96!$!YZ', 'Social Protection!$!93!$!SA', 'Other Agriculture; Fishing and Forestry!$!65!$!AZ', 'Tertiary Education!$!90!$!ET', 'Central Government (Central Agencies)!$!95!$!BC', 'Irrigation and Drainage!$!90!$!AI', 'Agricultural Extension; Research; and Other Support Activities!$!60!$!AB', 'Central Government (Central Agencies)!$!84!$!BC', 'Social Protection!$!27!$!SA', 'Health!$!93!$!HG', 'Central Government (Central Agencies)!$!29!$!BC', 'Other Water Supply; Sanitation and Waste Management!$!30!$!WZ', 'Roads and highways!$!90!$!TA', 'Oil and Gas!$!50!$!LC', 'Sanitation!$!50!$!WA', '(Historic)Other water supply and sanitation!$!100!$!WY', 'Other Industry; Trade and Services!$!67!$!YZ', 'Central Government (Central Agencies)!$!39!$!BC', 'Other Agriculture; Fishing and Forestry!$!35!$!AZ', 'Central Government (Central Agencies)!$!66!$!BC', 'Other Industry; Trade and Services!$!30!$!YZ', 'Workforce Development and Vocational Education!$!50!$!EW', 'Primary Education!$!75!$!EP', 'Public Administration - Energy and Extractives!$!100!$!LP', 'Renewable energy!$!50!$!LE', '(Historic)Macro/non-trade!$!100!$!KN', 'Other Public Administration!$!45!$!BZ', 'Health!$!87!$!HG', 'Other Agriculture; Fishing and Forestry!$!49!$!AZ', 'Rural and Inter-Urban Roads!$!92!$!TI', 'Health!$!65!$!HG', 'Central Government (Central Agencies)!$!37!$!BC', 'Other Non-bank Financial Institutions!$!30!$!FL', 'Central Government (Central Agencies)!$!64!$!BC', 'Central Government (Central Agencies)!$!25!$!BC', 'Other Industry; Trade and Services!$!98!$!YZ', 'Fisheries!$!50!$!AF', 'Power!$!95!$!LD', 'Other Industry; Trade and Services!$!38!$!YZ', 'Other Agriculture; Fishing and Forestry!$!25!$!AZ', 'Primary Education!$!56!$!EP', 'Other Water Supply; Sanitation and Waste Management!$!45!$!WZ', 'Central Government (Central Agencies)!$!61!$!BC', 'Rural and Inter-Urban Roads!$!40!$!TI', 'Other Industry; Trade and Services!$!55!$!YZ', 'Water Supply!$!65!$!WC', 'Agricultural Extension; Research; and Other Support Activities!$!40!$!AB', 'Central Government (Central Agencies)!$!62!$!BC', 'Other Industry; Trade and Services!$!41!$!YZ', 'Secondary Education!$!50!$!ES', 'Public Administration - Agriculture; Fishing & Forestry!$!50!$!AK', 'Irrigation and Drainage!$!80!$!AI', 'Other Industry; Trade and Services!$!44!$!YZ', 'Other Agriculture; Fishing and Forestry!$!20!$!AZ', 'Sub-National Government!$!70!$!BH', 'Health!$!30!$!HG', 'Health!$!74!$!HG', 'Central Government (Central Agencies)!$!53!$!BC', 'Irrigation and Drainage!$!75!$!AI', 'Water Supply!$!40!$!WC', 'Public Administration - Social Protection!$!50!$!SG', 'Health!$!83!$!HG', 'Other Water Supply; Sanitation and Waste Management!$!35!$!WZ', 'Central Government (Central Agencies)!$!76!$!BC', 'Central Government (Central Agencies)!$!31!$!BC', 'Other Industry; Trade and Services!$!60!$!YZ', 'Social Protection!$!96!$!SA', 'Public Administration - Industry; Trade and Services!$!100!$!YF', 'Crops!$!100!$!AH', 'Other Energy and Extractives!$!70!$!LZ', 'Health!$!86!$!HG', 'Central Government (Central Agencies)!$!92!$!BC', 'Other Industry; Trade and Services!$!35!$!YZ', 'Other Agriculture; Fishing and Forestry!$!34!$!AZ', 'Central Government (Central Agencies)!$!47!$!BC', 'Roads and highways!$!93!$!TA', 'Water Supply!$!95!$!WC', 'Crops!$!50!$!AH', 'Other Water Supply; Sanitation and Waste Management!$!25!$!WZ', 'Social Protection!$!49!$!SA', 'Central Government (Central Agencies)!$!52!$!BC', 'Central Government (Central Agencies)!$!82!$!BC', 'Mining!$!50!$!LM', 'Early Childhood Education!$!100!$!EC', 'Irrigation and Drainage!$!70!$!AI', 'Water Supply!$!30!$!WC', 'Rural and Inter-Urban Roads!$!20!$!TI', 'Central Government (Central Agencies)!$!48!$!BC', 'Other Transportation!$!40!$!TZ', 'Social Protection!$!55!$!SA', 'Social Protection!$!45!$!SA', 'Power!$!98!$!LD', 'Sub-National Government!$!35!$!BH', 'Central Government (Central Agencies)!$!73!$!BC', 'Health!$!98!$!HG', 'Rural and Inter-Urban Roads!$!50!$!TI', 'Other Public Administration!$!25!$!BZ', 'Social Protection!$!46!$!SA', 'Other Non-bank Financial Institutions!$!40!$!FL', 'Health!$!84!$!HG', 'Rural and Inter-Urban Roads!$!98!$!TI', 'Primary Education!$!65!$!EP', 'Other Public Administration!$!34!$!BZ', 'Social Protection!$!34!$!SA', 'Central Government (Central Agencies)!$!98!$!BC', 'Other Agriculture; Fishing and Forestry!$!43!$!AZ', 'Other Agriculture; Fishing and Forestry!$!45!$!AZ', 'Secondary Education!$!70!$!ES', 'Rural and Inter-Urban Roads!$!87!$!TI', 'Other Energy and Extractives!$!48!$!LZ', 'Central Government (Central Agencies)!$!54!$!BC', 'Health!$!92!$!HG', 'Water Supply!$!90!$!WC', 'Rural and Inter-Urban Roads!$!83!$!TI', 'Banking Institutions!$!55!$!FA', 'Other Agriculture; Fishing and Forestry!$!30!$!AZ', 'Other Agriculture; Fishing and Forestry!$!55!$!AZ', 'Health!$!85!$!HG', 'Social Protection!$!61!$!SA', 'Central Government (Central Agencies)!$!49!$!BC', '(Historic)Pollution control / waste management!$!100!$!VP', 'Public Administration - Information and Communications Technologies!$!100!$!CF', 'Primary Education!$!55!$!EP', 'Other Industry; Trade and Services!$!29!$!YZ', 'Social Protection!$!88!$!SA', 'Primary Education!$!90!$!EP', 'Agricultural markets; commercialization and agri-business!$!40!$!YA', 'Micro- and SME finance!$!50!$!FE', 'Other Industry; Trade and Services!$!70!$!YZ', 'Forestry!$!70!$!AT', 'Non-Renewable Energy Generation!$!100!$!LN', 'Secondary Education!$!60!$!ES', 'Power!$!90!$!LD', 'Central Government (Central Agencies)!$!94!$!BC', 'Rural and Inter-Urban Roads!$!70!$!TI', 'Tertiary Education!$!95!$!ET', 'Other Industry; Trade and Services!$!39!$!YZ', 'Social Protection!$!85!$!SA', 'Banking Institutions!$!70!$!FA', 'Irrigation and Drainage!$!65!$!AI', 'Roads and highways!$!96!$!TA', 'Health!$!73!$!HG', 'Social Protection!$!82!$!SA', 'Social Protection!$!95!$!SA', 'Health!$!82!$!HG', 'Central Government (Central Agencies)!$!96!$!BC', 'Rural and Inter-Urban Roads!$!93!$!TI', 'Water Supply!$!87!$!WC', 'Other Industry; Trade and Services!$!84!$!YZ', 'Crops!$!80!$!AH', 'Other Energy and Extractives!$!40!$!LZ', 'Other Industry; Trade and Services!$!43!$!YZ', 'Primary Education!$!35!$!EP', 'Primary Education!$!45!$!EP', 'Other Water Supply; Sanitation and Waste Management!$!67!$!WZ', 'Social Protection!$!33!$!SA', 'Rural and Inter-Urban Roads!$!60!$!TI', '(Historic)Rural water supply and sanitation!$!100!$!WR', 'Urban Transport!$!97!$!TC', 'Other Industry; Trade and Services!$!49!$!YZ', 'Social Protection!$!84!$!SA', 'Rural and Inter-Urban Roads!$!91!$!TI', 'Social Protection!$!94!$!SA', 'Other Industry; Trade and Services!$!57!$!YZ', 'Health!$!57!$!HG', 'Crops!$!60!$!AH', 'Other Industry; Trade and Services!$!90!$!YZ', 'Other Education!$!30!$!EZ', 'Energy Transmission and Distribution!$!86!$!LT', 'Other Agriculture; Fishing and Forestry!$!39!$!AZ', 'Other Energy and Extractives!$!98!$!LZ', 'Sub-National Government!$!65!$!BH', 'Capital Markets!$!100!$!FK', 'Waste Management!$!80!$!WB', 'Central Government (Central Agencies)!$!83!$!BC', 'Central Government (Central Agencies)!$!87!$!BC', 'Sub-National Government!$!32!$!BH', 'Primary Education!$!83!$!EP', 'Other Education!$!40!$!EZ', 'Other Non-bank Financial Institutions!$!10!$!FL', 'Social Protection!$!68!$!SA', 'Health!$!68!$!HG', 'Irrigation and Drainage!$!40!$!AI', 'Primary Education!$!30!$!EP', 'Renewable Energy Biomass!$!50!$!LB', 'Other Agriculture; Fishing and Forestry!$!42!$!AZ', 'Forestry!$!40!$!AT', 'Health!$!89!$!HG', 'Agricultural markets; commercialization and agri-business!$!50!$!YA', 'Other Industry; Trade and Services!$!80!$!YZ', 'Health!$!77!$!HG', 'Other Industry; Trade and Services!$!97!$!YZ', 'Irrigation and Drainage!$!26!$!AI', 'Primary Education!$!25!$!EP', 'Social Protection!$!81!$!SA', 'Other Water Supply; Sanitation and Waste Management!$!56!$!WZ', 'Urban Transport!$!96!$!TC', 'Central Government (Central Agencies)!$!71!$!BC', 'Primary Education!$!64!$!EP', 'Agro-industry!$!100!$!YB', 'Social Protection!$!44!$!SA', 'Other Energy and Extractives!$!80!$!LZ', 'Irrigation and Drainage!$!96!$!AI', 'Social Protection!$!20!$!SA', 'Sub-National Government!$!27!$!BH', 'Social Protection!$!25!$!SA', 'Health!$!55!$!HG', 'Secondary Education!$!40!$!ES', 'Roads and highways!$!95!$!TA', 'Roads and highways!$!89!$!TA', 'Agricultural Extension; Research; and Other Support Activities!$!30!$!AB', 'Other Agriculture; Fishing and Forestry!$!33!$!AZ', 'Other Public Administration!$!70!$!BZ', 'Forestry!$!87!$!AT', 'Health!$!79!$!HG', 'Social Protection!$!57!$!SA', 'Renewable energy!$!70!$!LE', 'Sub-National Government!$!55!$!BH', 'Other Water Supply; Sanitation and Waste Management!$!42!$!WZ', 'Other Education!$!60!$!EZ', '(Historic)Oil and gas adjustment!$!100!$!GG', 'Social Protection!$!64!$!SA', 'Other Industry; 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commercialization and agri-business!$!41!$!YA', 'Banking Institutions!$!78!$!FA', 'Other Agriculture; Fishing and Forestry!$!44!$!AZ', 'Roads and highways!$!72!$!TA', 'Water Supply!$!84!$!WC', 'Other Public Administration!$!41!$!BZ', 'Other Education!$!49!$!EZ', 'Other Public Administration!$!29!$!BZ', 'Urban Transport!$!57!$!TC', 'Rural and Inter-Urban Roads!$!39!$!TI', 'Other Water Supply; Sanitation and Waste Management!$!26!$!WZ', 'Health!$!56!$!HG', 'Micro- and SME finance!$!90!$!FE', 'Other Non-bank Financial Institutions!$!35!$!FL', 'Primary Education!$!54!$!EP', 'Urban Transport!$!55!$!TC', 'Social Protection!$!28!$!SA', 'Oil and Gas!$!80!$!LC', 'Workforce Development and Vocational Education!$!68!$!EW', 'Power!$!91!$!LD', 'Other Public Administration!$!38!$!BZ', 'Agricultural Extension; Research; and Other Support Activities!$!53!$!AB', 'Water Supply!$!92!$!WC', 'Waste Management!$!40!$!WB', 'Irrigation and Drainage!$!38!$!AI', 'Water Supply!$!73!$!WC', 'Central Government (Central Agencies)!$!23!$!BC', 'Sanitation!$!96!$!WA', 'Renewable Energy Hydro!$!85!$!LH', 'Agricultural Extension; Research; and Other Support Activities!$!8!$!AB', 'Other Transportation!$!28!$!TZ', 'Banking Institutions!$!51!$!FA', 'Water Supply!$!42!$!WC', 'Energy Transmission and Distribution!$!97!$!LT', 'Agricultural Extension; Research; and Other Support Activities!$!75!$!AB', 'Water Supply!$!97!$!WC', 'Social Protection!$!21!$!SA', 'Water Supply!$!47!$!WC', 'Irrigation and Drainage!$!83!$!AI', 'Workforce Development and Vocational Education!$!87!$!EW', 'Sub-National Government!$!73!$!BH', 'Other Water Supply; Sanitation and Waste Management!$!53!$!WZ', 'Other Transportation!$!23!$!TZ', 'Water Supply!$!51!$!WC', 'Other Agriculture; Fishing and Forestry!$!62!$!AZ', 'Renewable Energy Wind!$!100!$!LW', 'Crops!$!64!$!AH', 'Other Industry; Trade and Services!$!37!$!YZ', 'Water Supply!$!74!$!WC', 'Sanitation!$!92!$!WA', 'Irrigation and Drainage!$!85!$!AI', 'Sub-National Government!$!10!$!BH', 'Agricultural Extension; Research; and Other Support Activities!$!28!$!AB', 'Other Water Supply; Sanitation and Waste Management!$!61!$!WZ', 'Fisheries!$!49!$!AF', 'Tertiary Education!$!94!$!ET', 'Other Energy and Extractives!$!43!$!LZ', 'Sub-National Government!$!75!$!BH', 'Roads and highways!$!71!$!TA', 'Public Administration - Transportation!$!8!$!TF', 'Roads and highways!$!25!$!TA', 'Primary Education!$!74!$!EP', 'Power!$!36!$!LD', 'Other Non-bank Financial Institutions!$!12!$!FL', 'Tertiary Education!$!55!$!ET', 'Other Industry; Trade and Services!$!51!$!YZ', 'Social Protection!$!51!$!SA', 'Primary Education!$!63!$!EP', 'Irrigation and Drainage!$!69!$!AI', 'Public Administration - Social Protection!$!60!$!SG', 'Banking Institutions!$!42!$!FA', 'Tertiary Education!$!60!$!ET', 'Tertiary Education!$!35!$!ET', 'Tertiary Education!$!45!$!ET', 'Irrigation and Drainage!$!84!$!AI', 'Workforce Development and Vocational Education!$!78!$!EW', 'Agricultural Extension; Research; and Other Support Activities!$!71!$!AB', 'Sewerage!$!48!$!WS', 'Forestry!$!67!$!AT', 'Other Education!$!47!$!EZ', 'Banking Institutions!$!25!$!FA', 'Workforce Development and Vocational Education!$!90!$!EW', 'Public Administration - Health!$!5!$!HF', 'Rural and Inter-Urban Roads!$!45!$!TI', 'Health!$!48!$!HG', 'Other Education!$!25!$!EZ', 'Law and Justice!$!60!$!BG', 'Other Education!$!36!$!EZ', 'Tertiary Education!$!62!$!ET', 'Central Government (Central Agencies)!$!81!$!BC', 'Central Government (Central Agencies)!$!16!$!BC', 'Irrigation and Drainage!$!64!$!AI', 'Other Transportation!$!75!$!TZ', 'Waste Management!$!70!$!WB', 'Ports/Waterways!$!80!$!TP', 'Social Protection!$!36!$!SA', 'Trade!$!33!$!YY', 'Central Government (Central Agencies)!$!26!$!BC', 'Irrigation and Drainage!$!87!$!AI', 'Other Non-bank Financial Institutions!$!28!$!FL', 'Primary Education!$!85!$!EP', '(Historic)Urban environment!$!100!$!US', 'Sanitation!$!56!$!WA', 'Agricultural Extension; Research; and Other Support Activities!$!54!$!AB', 'Forestry!$!62!$!AT', 'Primary Education!$!43!$!EP', 'Other Industry; Trade and Services!$!69!$!YZ', 'Irrigation and Drainage!$!89!$!AI', 'Forestry!$!96!$!AT', 'Energy Transmission and Distribution!$!62!$!LT', 'Public Administration - Water; Sanitation and Waste Management!$!9!$!WF', 'Other Agriculture; Fishing and Forestry!$!96!$!AZ', 'Other Public Administration!$!75!$!BZ', 'Social Protection!$!76!$!SA', 'Rural and Inter-Urban Roads!$!38!$!TI', 'Rural and Inter-Urban Roads!$!72!$!TI', 'Forestry!$!30!$!AT', 'Public Administration - Industry; Trade and Services!$!41!$!YF', 'Waste Management!$!48!$!WB', 'Secondary Education!$!46!$!ES', 'Irrigation and Drainage!$!42!$!AI', 'Urban Transport!$!56!$!TC', 'Agricultural markets; commercialization and agri-business!$!49!$!YA', 'Agricultural markets; commercialization and agri-business!$!57!$!YA', 'Other Industry; Trade and Services!$!54!$!YZ', 'Roads and highways!$!60!$!TA', 'Sanitation!$!24!$!WA', 'Trade!$!100!$!YY', 'ICT Services!$!40!$!CS', 'Sub-National Government!$!53!$!BH', 'Banking Institutions!$!44!$!FA', 'Irrigation and Drainage!$!54!$!AI', 'Sub-National Government!$!77!$!BH', 'Other Agriculture; Fishing and Forestry!$!38!$!AZ', 'Sub-National Government!$!89!$!BH', 'Rural and Inter-Urban Roads!$!27!$!TI', 'Roads and highways!$!54!$!TA', 'Other Energy and Extractives!$!34!$!LZ', 'Public Administration - Health!$!6!$!HF', 'Social Protection!$!74!$!SA', 'Roads and highways!$!87!$!TA', 'Energy Transmission and Distribution!$!87!$!LT', 'Urban Transport!$!80!$!TC', 'Micro- and SME finance!$!95!$!FE', 'Tertiary Education!$!89!$!ET', 'Waste Management!$!95!$!WB', 'Other Public Administration!$!68!$!BZ', ...]
# run this code cell to see the number of unique values
print('Number of unique values in sector1:', len(uniquesectors1))
Number of unique values in sector1: 3060
3060 different categories is quite a lot! Remember that with dummy variables, if you have n categorical values, you need n - 1 new variables! That means 3059 extra columns!
There are a few issues with this 'sector1' variable. First, there are values labeled '!$!0'. These should be substituted with NaN.
Furthermore, each sector1 value ends with a ten or eleven character string like '!$!49!$!EP'. Some sectors show up twice in the list like: 'Other Industry; Trade and Services!$!70!$!YZ', 'Other Industry; Trade and Services!$!63!$!YZ',
But it seems like those are actually the same sector. You'll need to remove everything past the exclamation point.
Many values in the sector1 variable start with the term '(Historic)'. Try removing that phrase as well.
With pandas, you can use the replace() method to search for text and replace parts of a string with another string. If you know the exact string you're looking for, the replace() method is straight forward. For example, say you wanted to remove the string '(Trial)' from this data:
| data |
|---|
| '(Trial) Banking' |
| 'Banking' |
| 'Farming' |
| '(Trial) Transportation' |
You could use df['data'].replace('(Trial'), '') to replace (Trial) with an empty string.
What about this data?
| data |
|---|
| 'Other Industry; Trade and Services?$ab' |
| 'Other Industry; Trade and Services?ceg' |
This type of data is trickier. In this case, there's a pattern where you want to remove a string that starts with an exclamation point and then has an unknown number of characters after it. When you need to match patterns of character, you can use regular expressions.
The replace method can take a regular expression. So df['data'].replace('?.+', regex=True) where '?.+' means find a set of characters that starts with a question mark is then followed by one or more characters. You can see a regular expression cheat sheet here.
Fix these issues in the code cell below.
# TODO: In the sector1 variable, replace the string '!$10' with nan
# Put the results back into the sector1 variable
# HINT: you can use the pandas replace() method and numpy.nan
sector['sector1'] = sector['sector1'].replace('!$10',np.nan)
# TODO: In the sector1 variable, remove the last 10 or 11 characters from the sector1 variable.
# HINT: There is more than one way to do this. To do it with one line of code,
# you can use the replace method with a regex expression '!.+'
# That regex expression looks for a string with an exclamation
# point followed by one or more characters
sector['sector1'] = sector['sector1'].replace('!.+','',regex=True)
# TODO: Remove the string '(Historic)' from the sector1 variable
# HINT: You can use the replace method
sector['sector1'] = sector['sector1'].replace(r'^\(Historic\)','',regex=True)
print('Number of unique sectors after cleaning:', len(list(sector['sector1'].unique())))
print('Percentage of null values after cleaning:', 100 * sector['sector1'].isnull().sum() / sector['sector1'].shape[0])
Number of unique sectors after cleaning: 156 Percentage of null values after cleaning: 0.0
sector['sector1'].value_counts()
Central Government (Central Agencies) 1644
Health 782
Social Protection 767
638
Irrigation and Drainage 624
...
(Historic)Other fuels 1
Compulsory pension and unemployment insurance 1
(Historic)Decentralization 1
(Historic)Environment adjustment 1
(Historic)Pensions and social insurance 1
Name: sector1, Length: 159, dtype: int64
Now there are 156 unique categorical values. That's better than 3060. If you were going to use this data with a supervised learning machine model, you could try converting these 156 values to dummy variables. You'd still have to train and test a model to see if those are good features.
You could try to consolidate similar categories together, which is what the challenge exercise in part 4 is about.
There are also still many entries with NaN values. How could you fill these in?
You might try to determine an appropriate category from the 'project_name' or 'lendinginstr' variables. If you make dummy variables including NaN values, then you could consider a feature with all zeros to represent NaN. Or you could delete these records from the data set. Pandas will ignore NaN values by default. That means, for a given row, all dummy variables will have a value of 0 if the sector1 value was NaN.
Don't forget about the bigger context! This data is being prepared for a machine learning algorithm. Whatever techniques you use to engineer new features, you'll need to use those when running your model on new data. So if your new data does not contain a sector1 value, you'll have to run whatever feature engineering processes you did on your training set.
In this next exercise, use the pandas pd.get_dummies() method to create dummy variables. Then use the concat() method to concatenate the dummy variables to a dataframe that contains the project totalamt variable and the project year from the boardapprovaldate.
# TODO: Create dummy variables from the sector1 data. Put the results into a dataframe called dummies
# Hint: Use the get_dummies method
dummies = pd.get_dummies(sector['sector1'],drop_first = True)
# TODO: Create a new dataframe called df by
# filtering the projects data for the totalamt and
# the year from boardapprovaldate
projects['year'] = projects['boardapprovaldate'].dt.year
df = projects[['totalamt','year']]
# TODO: Concatenate the results of dummies and projects
# into a single data frame
df_final = pd.concat([df, dummies], axis = 1)
df_final.head()
| totalamt | year | Adult; Basic and Continuing Education | Agency reform | Agricultural Extension; Research; and Other Support Activities | Agricultural credit | Agricultural extension | Agricultural markets; commercialization and agri-business | Agriculture adjustment | Agro-industry | Agro-industry and marketing | Animal production | Annual crops | Aviation | Banking Institutions | Basic health | Business environment | Capital Markets | Central Government (Central Agencies) | Civil service reform | Compulsory pension and unemployment insurance | Crops | Decentralization | Distribution and transmission | Early Childhood Education | Economic management | Education adjustment | Electric power and other energy adjustment | Energy Transmission and Distribution | Energy efficiency in Heat and Power | Environment adjustment | Environmental institutions | Fertilizer and other chemicals | Financial adjustment | Financial sector development | Fisheries | Flood protection | Forestry | General finance sector | HIV/AIDS | Health | Health Facilities and Construction | Highways | Housing Construction | Housing construction | Housing finance | Hydro | ICT Infrastructure | ICT Services | Industrial adjustment | Industrial restructuring | Institutional Development | Insurance and Pension | Irrigation and Drainage | Law and Justice | Livestock | Macro/non-trade | Manufacturing | Media | Micro- and SME finance | Mining | Mining and other extractive | Natural resources management | Non-Renewable Energy Generation | Non-sector specific | Oil and Gas | Oil and gas adjustment | Oil and gas exploration and development | Oil and gas transportation | Other Agriculture; Fishing and Forestry | Other Education | Other Energy and Extractives | Other Industry; Trade and Services | Other Information and Communications Technologies | Other Non-bank Financial Institutions | Other Public Administration | Other Transportation | Other Water Supply; Sanitation and Waste Management | Other agriculture | Other education | Other environment | Other finance | Other fuels | Other industry | Other population; health and nutrition | Other power and energy conversion | Other public sector management | Other social protection | Other social services | Other transportation | Other urban development | Other water supply and sanitation | Pensions and social insurance | Perennial crops | Petrochemicals and fertilizers | Pollution control / waste management | Population; health and nutrition adjustment | Ports/Waterways | Postal services | Power | Pre-investment / portfolio development | Primary Education | Privatization | Public Administration - Agriculture; Fishing & Forestry | Public Administration - Education | Public Administration - Energy and Extractives | Public Administration - Financial Sector | Public Administration - Health | Public Administration - Industry; Trade and Services | Public Administration - Information and Communications Technologies | Public Administration - Social Protection | Public Administration - Transportation | Public Administration - Water; Sanitation and Waste Management | Public enterprise reform | Public financial management | Public sector management adjustment | Railways | Refining; storage and distribution | Renewable Energy Biomass | Renewable Energy Geothermal | Renewable Energy Hydro | Renewable Energy Solar | Renewable Energy Wind | Renewable energy | Research | Roads and highways | Rural and Inter-Urban Roads | Rural roads | Rural water supply and sanitation | Sanitation | Secondary Education | Sewerage | Small scale enterprise | Social Protection | Social protection adjustment | Sub-National Government | Targeted health | Telecommunications | Telecommunications and informatics | Tertiary Education | Thermal | Tourism | Trade | Trade policy reform | Transportation adjustment | Urban Transport | Urban development adjustment | Urban environment | Urban housing | Urban management | Urban transport | Urban water supply | Vocational training | Waste Management | Water Supply | Water supply and sanitation adjustment | Workforce Development and Vocational Education | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 2018.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | 200000000 | 2018.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2 | 58330000 | 2018.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3 | 20000000 | 2018.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 4 | 100000000 | 2018.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
You could continue to consolidate sector values using other techniques. For example, in the next exercise, you'll find categories with similar terms and then combine them together.
Keep in mind that how much to consolidate will depend on your machine learning model performance and your hardware's ability to handle the extra features in memory. If your hardware's memory can handle 3060 new features and your machine learning algorithm performs better, then go for it!
But can you do anything else with the sector1 variable?
The percentage of null values for 'sector1' is now 3.49%. That turns out to be the same number as the null values for the 'sector' column. You can see this if you scroll back up to where the code calculated the percentage of null values for each variable.
Perhaps the 'sector1' and 'sector' variable have the same information. If you look at the 'sector' variable, however, it also needs cleaning. The values look like this:
'Urban Transport;Urban Transport;Public Administration - Transportation'
It turns out the 'sector' variable combines information from the 'sector1' through 'sector5' variables and the 'mjsector' variable. Run the code cell below to look at the sector variable.
sector['sector']
0 NaN
1 NaN
2 NaN
3 NaN
4 Social Protection;Social Protection;Other Indu...
...
18243 (Historic)Hydro;(Historic)Hydro
18244 (Historic)Economic management;(Historic)Econom...
18245 (Historic)Economic management;(Historic)Econom...
18246 (Historic)Economic management;(Historic)Econom...
18247 (Historic)Economic management;(Historic)Econom...
Name: sector, Length: 18248, dtype: object
What else can you do? If you look at all of the diferent sector1 categories, it might be useful to combine a few of them together. For example, there are various categories with the term "Energy" in them. And then there are other categories that seem related to energy but don't have the word energy in them like "Thermal" and "Hydro". Some categories have the term "Renewable Energy", so perhaps you could make a separate "Renewable Energy" category.
Similarly, there are categories with the term "Transportation" in them, and then there are related categories like "Highways".
In the next cell, find all sector1 values with the term 'Energy' in them. For each of these rows, put the string 'energy' in a new column called 'sector1_aggregates'. Do the same for "Transportation".
import re
# Create the sector1_aggregates variable
sector['sector1_aggregates'] = sector['sector1']
# TODO: The code above created a new variable called sector1_aggregates.
# Currently, sector1_aggregates has all of the same values as sector1
# For this task, find all the rows in sector1_aggregates with the term 'Energy' in them,
# For all of these rows, replace whatever is the value is with the term 'Energy'.
# The idea is to simplify the category names by combining various categories together.
# Then, do the same for the term 'Transportation
# HINT: You can use the contains() methods. See the documentation for how to ignore case using the re library
# HINT: You might get an error saying "cannot index with vector containing NA / NaN values."
# Try converting NaN values to something else like False or a string
sector.loc[sector['sector1_aggregates'].str.contains('Energy')|sector['sector1_aggregates'].str.contains('energy'),'sector1_aggregates'] = 'Energy'
sector.loc[sector['sector1_aggregates'].str.contains('Transportation')|sector['sector1_aggregates'].str.contains('transportation'),'sector1_aggregates'] = 'Transportation'
print('Number of unique sectors after cleaning:', len(list(sector['sector1_aggregates'].unique())))
Number of unique sectors after cleaning: 140
import re
# Create the sector1_aggregates variable
sector.loc[:,'sector1_aggregates'] = sector['sector1']
# TODO: The code above created a new variable called sector1_aggregates.
# Currently, sector1_aggregates has all of the same values as sector1
# For this task, find all the rows in sector1_aggregates with the term 'Energy' in them,
# For all of these rows, replace whatever is the value is with the term 'Energy'.
# The idea is to simplify the category names by combining various categories together.
# Then, do the same for the term 'Transportation
# HINT: You can use the contains() methods. See the documentation for how to ignore case using the re library
# HINT: You might get an error saying "cannot index with vector containing NA / NaN values."
# Try converting NaN values to something else like False or a string
sector.loc[sector['sector1_aggregates'].str.contains('Energy', flags=re.IGNORECASE),'sector1_aggregates'] = 'Energy'
sector.loc[sector['sector1_aggregates'].str.contains('Transportation', flags=re.IGNORECASE),'sector1_aggregates'] = 'Transportation'
print('Number of unique sectors after cleaning:', len(list(sector['sector1_aggregates'].unique())))
Number of unique sectors after cleaning: 140
Pandas makes it relatively easy to create dummy variables; however, oftentimes you'll need to clean the data first.